id	sid	tid	token	lemma	pos
cana-3281	1	1	communications	communication	NOUN
cana-3281	1	2	on	on	ADP
cana-3281	1	3	applied	apply	VERB
cana-3281	1	4	nonlinear	nonlinear	ADJ
cana-3281	1	5	analysis	analysis	NOUN
cana-3281	1	6	issn	issn	NOUN
cana-3281	1	7	:	:	PUNCT
cana-3281	1	8	1074	1074	NUM
cana-3281	1	9	-	-	PUNCT
cana-3281	1	10	133x	133x	NUM
cana-3281	1	11	vol	vol	NOUN
cana-3281	1	12	32	32	NUM
cana-3281	1	13	no	no	NOUN
cana-3281	1	14	.	.	PUNCT
cana-3281	2	1	6s	6s	NUM
cana-3281	2	2	(	(	PUNCT
cana-3281	2	3	2025	2025	NUM
cana-3281	2	4	)	)	PUNCT
cana-3281	2	5	134	134	NUM
cana-3281	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	2	7	unleashing	unleash	VERB
cana-3281	2	8	customization	customization	NOUN
cana-3281	2	9	in	in	ADP
cana-3281	2	10	gans	gan	NOUN
cana-3281	2	11	through	through	ADP
cana-3281	2	12	delineation	delineation	NOUN
cana-3281	2	13	guided	guide	VERB
cana-3281	2	14	image	image	NOUN
cana-3281	2	15	synthesis	synthesis	NOUN
cana-3281	2	16	m.	m.	NOUN
cana-3281	2	17	l.	l.	PROPN
cana-3281	2	18	dhore1	dhore1	PROPN
cana-3281	2	19	,	,	PUNCT
cana-3281	2	20	rohan	rohan	PROPN
cana-3281	2	21	sasne2	sasne2	PROPN
cana-3281	2	22	,	,	PUNCT
cana-3281	2	23	deepak	deepak	PROPN
cana-3281	2	24	mane3	mane3	PROPN
cana-3281	2	25	,	,	PUNCT
cana-3281	2	26	tejas	tejas	PROPN
cana-3281	2	27	rokade4	rokade4	PROPN
cana-3281	2	28	,	,	PUNCT
cana-3281	2	29	riya	riya	PROPN
cana-3281	2	30	loya5	loya5	PROPN
cana-3281	2	31	,	,	PUNCT
cana-3281	2	32	rushikesh	rushikesh	ADJ
cana-3281	2	33	chandak6	chandak6	NOUN
cana-3281	2	34	1dept	1dept	NUM
cana-3281	2	35	.	.	NOUN
cana-3281	2	36	of	of	ADP
cana-3281	2	37	computer	computer	NOUN
cana-3281	2	38	engineering	engineering	NOUN
cana-3281	2	39	,	,	PUNCT
cana-3281	2	40	vishwakarma	vishwakarma	PROPN
cana-3281	2	41	institute	institute	PROPN
cana-3281	2	42	of	of	ADP
cana-3281	2	43	technology	technology	PROPN
cana-3281	2	44	,	,	PUNCT
cana-3281	2	45	pune	pune	PROPN
cana-3281	2	46	,	,	PUNCT
cana-3281	2	47	india	india	PROPN
cana-3281	2	48	.	.	PUNCT
cana-3281	3	1	manikrao.dhore@vit.edu	manikrao.dhore@vit.edu	PROPN
cana-3281	3	2	2dept	2dept	NUM
cana-3281	3	3	.	.	PUNCT
cana-3281	3	4	of	of	ADP
cana-3281	3	5	computer	computer	NOUN
cana-3281	3	6	engineering	engineering	NOUN
cana-3281	3	7	,	,	PUNCT
cana-3281	3	8	vishwakarma	vishwakarma	PROPN
cana-3281	3	9	institute	institute	PROPN
cana-3281	3	10	of	of	ADP
cana-3281	3	11	technology	technology	PROPN
cana-3281	3	12	,	,	PUNCT
cana-3281	3	13	pune	pune	PROPN
cana-3281	3	14	,	,	PUNCT
cana-3281	3	15	india	india	PROPN
cana-3281	3	16	.	.	PUNCT
cana-3281	4	1	rohan.sasne21@vit.edu	rohan.sasne21@vit.edu	PROPN
cana-3281	4	2	3dept	3dept	NUM
cana-3281	4	3	.	.	PROPN
cana-3281	4	4	of	of	ADP
cana-3281	4	5	computer	computer	NOUN
cana-3281	4	6	engineering	engineering	NOUN
cana-3281	4	7	,	,	PUNCT
cana-3281	4	8	vishwakarma	vishwakarma	PROPN
cana-3281	4	9	institute	institute	PROPN
cana-3281	4	10	of	of	ADP
cana-3281	4	11	technology	technology	PROPN
cana-3281	4	12	,	,	PUNCT
cana-3281	4	13	pune	pune	PROPN
cana-3281	4	14	,	,	PUNCT
cana-3281	4	15	india	india	PROPN
cana-3281	4	16	.	.	PUNCT
cana-3281	5	1	deepak.mane@vit.edu	deepak.mane@vit.edu	PROPN
cana-3281	5	2	4dept	4dept	NUM
cana-3281	5	3	.	.	PUNCT
cana-3281	5	4	of	of	ADP
cana-3281	5	5	computer	computer	NOUN
cana-3281	5	6	engineering	engineering	NOUN
cana-3281	5	7	,	,	PUNCT
cana-3281	5	8	vishwakarma	vishwakarma	PROPN
cana-3281	5	9	institute	institute	PROPN
cana-3281	5	10	of	of	ADP
cana-3281	5	11	technology	technology	PROPN
cana-3281	5	12	,	,	PUNCT
cana-3281	5	13	pune	pune	PROPN
cana-3281	5	14	,	,	PUNCT
cana-3281	5	15	india	india	PROPN
cana-3281	5	16	.	.	PUNCT
cana-3281	6	1	tejas.rokade21@vit.edu	tejas.rokade21@vit.edu	NOUN
cana-3281	6	2	5dept	5dept	NUM
cana-3281	6	3	.	.	NOUN
cana-3281	6	4	of	of	ADP
cana-3281	6	5	computer	computer	NOUN
cana-3281	6	6	engineering	engineering	NOUN
cana-3281	6	7	,	,	PUNCT
cana-3281	6	8	vishwakarma	vishwakarma	PROPN
cana-3281	6	9	institute	institute	PROPN
cana-3281	6	10	of	of	ADP
cana-3281	6	11	technology	technology	PROPN
cana-3281	6	12	,	,	PUNCT
cana-3281	6	13	pune	pune	PROPN
cana-3281	6	14	,	,	PUNCT
cana-3281	6	15	india	india	PROPN
cana-3281	6	16	.	.	PUNCT
cana-3281	7	1	riya.loya21@vit.edu	riya.loya21@vit.edu	PROPN
cana-3281	7	2	6dept	6dept	NUM
cana-3281	7	3	.	.	PUNCT
cana-3281	7	4	of	of	ADP
cana-3281	7	5	computer	computer	NOUN
cana-3281	7	6	engineering	engineering	NOUN
cana-3281	7	7	,	,	PUNCT
cana-3281	7	8	vishwakarma	vishwakarma	PROPN
cana-3281	7	9	institute	institute	PROPN
cana-3281	7	10	of	of	ADP
cana-3281	7	11	technology	technology	PROPN
cana-3281	7	12	,	,	PUNCT
cana-3281	7	13	pune	pune	PROPN
cana-3281	7	14	,	,	PUNCT
cana-3281	7	15	india	india	PROPN
cana-3281	7	16	.	.	PUNCT
cana-3281	7	17	rushikesh.chandak21@vit.edu	rushikesh.chandak21@vit.edu	PROPN
cana-3281	7	18	article	article	NOUN
cana-3281	7	19	history	history	NOUN
cana-3281	7	20	:	:	PUNCT
cana-3281	7	21	received	receive	VERB
cana-3281	7	22	:	:	PUNCT
cana-3281	7	23	17	17	NUM
cana-3281	7	24	-	-	SYM
cana-3281	7	25	10	10	NUM
cana-3281	7	26	-	-	PUNCT
cana-3281	7	27	2024	2024	NUM
cana-3281	7	28	revised	revise	VERB
cana-3281	7	29	:	:	PUNCT
cana-3281	7	30	01	01	NUM
cana-3281	7	31	-	-	SYM
cana-3281	7	32	12	12	NUM
cana-3281	7	33	-	-	PUNCT
cana-3281	7	34	2024	2024	NUM
cana-3281	7	35	accepted	accept	VERB
cana-3281	7	36	:	:	PUNCT
cana-3281	7	37	10	10	NUM
cana-3281	7	38	-	-	SYM
cana-3281	7	39	12	12	NUM
cana-3281	7	40	-	-	PUNCT
cana-3281	7	41	2024	2024	NUM
cana-3281	7	42	abstract	abstract	NOUN
cana-3281	7	43	:	:	PUNCT
cana-3281	7	44	interacting	interact	VERB
cana-3281	7	45	with	with	ADP
cana-3281	7	46	ai	ai	PROPN
cana-3281	7	47	systems	system	NOUN
cana-3281	7	48	through	through	ADP
cana-3281	7	49	text	text	NOUN
cana-3281	7	50	alone	alone	ADV
cana-3281	7	51	can	can	AUX
cana-3281	7	52	be	be	AUX
cana-3281	7	53	challenging	challenge	VERB
cana-3281	7	54	,	,	PUNCT
cana-3281	7	55	especially	especially	ADV
cana-3281	7	56	when	when	SCONJ
cana-3281	7	57	conveying	convey	VERB
cana-3281	7	58	complex	complex	ADJ
cana-3281	7	59	visual	visual	ADJ
cana-3281	7	60	concepts	concept	NOUN
cana-3281	7	61	.	.	PUNCT
cana-3281	8	1	this	this	DET
cana-3281	8	2	paper	paper	NOUN
cana-3281	8	3	presents	present	VERB
cana-3281	8	4	an	an	DET
cana-3281	8	5	innovative	innovative	ADJ
cana-3281	8	6	ai	ai	NOUN
cana-3281	8	7	system	system	NOUN
cana-3281	8	8	that	that	PRON
cana-3281	8	9	leverages	leverage	VERB
cana-3281	8	10	a	a	DET
cana-3281	8	11	multi	multi	ADJ
cana-3281	8	12	-	-	ADJ
cana-3281	8	13	gan	gan	ADJ
cana-3281	8	14	framework	framework	NOUN
cana-3281	8	15	—	—	PUNCT
cana-3281	8	16	integrating	integrate	VERB
cana-3281	8	17	specialized	specialized	ADJ
cana-3281	8	18	generative	generative	ADJ
cana-3281	8	19	adversarial	adversarial	ADJ
cana-3281	8	20	networks	network	NOUN
cana-3281	8	21	(	(	PUNCT
cana-3281	8	22	gans	gan	NOUN
cana-3281	8	23	)	)	PUNCT
cana-3281	8	24	such	such	ADJ
cana-3281	8	25	as	as	ADP
cana-3281	8	26	pix2pix	pix2pix	VERB
cana-3281	8	27	,	,	PUNCT
cana-3281	8	28	sketchgan	sketchgan	ADJ
cana-3281	8	29	,	,	PUNCT
cana-3281	8	30	dcgan	dcgan	NOUN
cana-3281	8	31	,	,	PUNCT
cana-3281	8	32	and	and	CCONJ
cana-3281	8	33	esrgan	esrgan	NOUN
cana-3281	8	34	—	—	PUNCT
cana-3281	8	35	to	to	PART
cana-3281	8	36	interpret	interpret	VERB
cana-3281	8	37	and	and	CCONJ
cana-3281	8	38	generate	generate	VERB
cana-3281	8	39	high	high	ADJ
cana-3281	8	40	-	-	PUNCT
cana-3281	8	41	fidelity	fidelity	NOUN
cana-3281	8	42	visual	visual	ADJ
cana-3281	8	43	content	content	NOUN
cana-3281	8	44	based	base	VERB
cana-3281	8	45	on	on	ADP
cana-3281	8	46	user	user	NOUN
cana-3281	8	47	sketches	sketch	NOUN
cana-3281	8	48	.	.	PUNCT
cana-3281	9	1	by	by	ADP
cana-3281	9	2	employing	employ	VERB
cana-3281	9	3	these	these	DET
cana-3281	9	4	gans	gan	NOUN
cana-3281	9	5	in	in	ADP
cana-3281	9	6	a	a	DET
cana-3281	9	7	sequential	sequential	ADJ
cana-3281	9	8	pipeline	pipeline	NOUN
cana-3281	9	9	,	,	PUNCT
cana-3281	9	10	the	the	DET
cana-3281	9	11	system	system	NOUN
cana-3281	9	12	optimizes	optimize	VERB
cana-3281	9	13	image	image	NOUN
cana-3281	9	14	synthesis	synthesis	NOUN
cana-3281	9	15	quality	quality	NOUN
cana-3281	9	16	through	through	ADP
cana-3281	9	17	targeted	target	VERB
cana-3281	9	18	stages	stage	NOUN
cana-3281	9	19	,	,	PUNCT
cana-3281	9	20	from	from	ADP
cana-3281	9	21	sketch	sketch	NOUN
cana-3281	9	22	refinement	refinement	NOUN
cana-3281	9	23	to	to	ADP
cana-3281	9	24	high	high	ADJ
cana-3281	9	25	-	-	PUNCT
cana-3281	9	26	resolution	resolution	NOUN
cana-3281	9	27	enhancement	enhancement	NOUN
cana-3281	9	28	.	.	PUNCT
cana-3281	10	1	this	this	DET
cana-3281	10	2	structured	structured	ADJ
cana-3281	10	3	approach	approach	NOUN
cana-3281	10	4	enhances	enhance	VERB
cana-3281	10	5	real	real	ADJ
cana-3281	10	6	-	-	PUNCT
cana-3281	10	7	time	time	NOUN
cana-3281	10	8	interaction	interaction	NOUN
cana-3281	10	9	by	by	ADP
cana-3281	10	10	improving	improve	VERB
cana-3281	10	11	image	image	NOUN
cana-3281	10	12	editing	edit	VERB
cana-3281	10	13	capabilities	capability	NOUN
cana-3281	10	14	,	,	PUNCT
cana-3281	10	15	enabling	enable	VERB
cana-3281	10	16	users	user	NOUN
cana-3281	10	17	to	to	PART
cana-3281	10	18	communicate	communicate	VERB
cana-3281	10	19	more	more	ADV
cana-3281	10	20	intuitively	intuitively	ADV
cana-3281	10	21	with	with	ADP
cana-3281	10	22	ai	ai	NOUN
cana-3281	10	23	.	.	PUNCT
cana-3281	11	1	this	this	DET
cana-3281	11	2	rapid	rapid	ADJ
cana-3281	11	3	and	and	CCONJ
cana-3281	11	4	precise	precise	ADJ
cana-3281	11	5	visualization	visualization	NOUN
cana-3281	11	6	tool	tool	NOUN
cana-3281	11	7	streamlines	streamline	NOUN
cana-3281	11	8	design	design	NOUN
cana-3281	11	9	workflows	workflow	NOUN
cana-3281	11	10	in	in	ADP
cana-3281	11	11	industries	industry	NOUN
cana-3281	11	12	like	like	ADP
cana-3281	11	13	architecture	architecture	NOUN
cana-3281	11	14	and	and	CCONJ
cana-3281	11	15	fashion	fashion	NOUN
cana-3281	11	16	,	,	PUNCT
cana-3281	11	17	while	while	SCONJ
cana-3281	11	18	also	also	ADV
cana-3281	11	19	advancing	advance	VERB
cana-3281	11	20	ai	ai	VERB
cana-3281	11	21	towards	towards	ADP
cana-3281	11	22	more	more	ADV
cana-3281	11	23	sophisticated	sophisticated	ADJ
cana-3281	11	24	,	,	PUNCT
cana-3281	11	25	human	human	ADJ
cana-3281	11	26	-	-	PUNCT
cana-3281	11	27	like	like	ADJ
cana-3281	11	28	intelligence	intelligence	NOUN
cana-3281	11	29	that	that	PRON
cana-3281	11	30	fosters	foster	VERB
cana-3281	11	31	creativity	creativity	NOUN
cana-3281	11	32	and	and	CCONJ
cana-3281	11	33	production	production	NOUN
cana-3281	11	34	efficiency	efficiency	NOUN
cana-3281	11	35	.	.	PUNCT
cana-3281	12	1	keywords	keyword	NOUN
cana-3281	12	2	:	:	PUNCT
cana-3281	12	3	generative	generative	ADJ
cana-3281	12	4	adversarial	adversarial	ADJ
cana-3281	12	5	network	network	NOUN
cana-3281	12	6	,	,	PUNCT
cana-3281	12	7	pix2pix	pix2pix	VERB
cana-3281	12	8	,	,	PUNCT
cana-3281	12	9	sketchgan	sketchgan	ADJ
cana-3281	12	10	,	,	PUNCT
cana-3281	12	11	dcgan	dcgan	NOUN
cana-3281	12	12	,	,	PUNCT
cana-3281	12	13	esrgan	esrgan	NOUN
cana-3281	12	14	,	,	PUNCT
cana-3281	12	15	agi	agi	PROPN
cana-3281	12	16	i.	i.	PROPN
cana-3281	12	17	introduction	introduction	NOUN
cana-3281	12	18	the	the	DET
cana-3281	12	19	integration	integration	NOUN
cana-3281	12	20	of	of	ADP
cana-3281	12	21	user	user	NOUN
cana-3281	12	22	-	-	PUNCT
cana-3281	12	23	directed	direct	VERB
cana-3281	12	24	inputs	input	NOUN
cana-3281	12	25	with	with	ADP
cana-3281	12	26	generative	generative	ADJ
cana-3281	12	27	adversarial	adversarial	ADJ
cana-3281	12	28	networks	network	NOUN
cana-3281	12	29	(	(	PUNCT
cana-3281	12	30	gans	gan	NOUN
cana-3281	12	31	)	)	PUNCT
cana-3281	12	32	marks	mark	VERB
cana-3281	12	33	a	a	DET
cana-3281	12	34	significant	significant	ADJ
cana-3281	12	35	breakthrough	breakthrough	NOUN
cana-3281	12	36	in	in	ADP
cana-3281	12	37	closing	close	VERB
cana-3281	12	38	the	the	DET
cana-3281	12	39	gap	gap	NOUN
cana-3281	12	40	between	between	ADP
cana-3281	12	41	human	human	ADJ
cana-3281	12	42	cognition	cognition	NOUN
cana-3281	12	43	and	and	CCONJ
cana-3281	12	44	machine	machine	NOUN
cana-3281	12	45	interpretation	interpretation	NOUN
cana-3281	12	46	.	.	PUNCT
cana-3281	13	1	this	this	DET
cana-3281	13	2	study	study	NOUN
cana-3281	13	3	leverages	leverage	VERB
cana-3281	13	4	deep	deep	ADJ
cana-3281	13	5	learning	learning	NOUN
cana-3281	13	6	models	model	NOUN
cana-3281	13	7	such	such	ADJ
cana-3281	13	8	as	as	ADP
cana-3281	13	9	pix2pix	pix2pix	VERB
cana-3281	13	10	,	,	PUNCT
cana-3281	13	11	sketchgan	sketchgan	ADJ
cana-3281	13	12	,	,	PUNCT
cana-3281	13	13	dcgan	dcgan	NOUN
cana-3281	13	14	,	,	PUNCT
cana-3281	13	15	and	and	CCONJ
cana-3281	13	16	esrgan	esrgan	VERB
cana-3281	13	17	to	to	PART
cana-3281	13	18	improve	improve	VERB
cana-3281	13	19	the	the	DET
cana-3281	13	20	visual	visual	ADJ
cana-3281	13	21	generation	generation	NOUN
cana-3281	13	22	capabilities	capability	NOUN
cana-3281	13	23	of	of	ADP
cana-3281	13	24	ai	ai	ADJ
cana-3281	13	25	systems	system	NOUN
cana-3281	13	26	based	base	VERB
cana-3281	13	27	on	on	ADP
cana-3281	13	28	user	user	NOUN
cana-3281	13	29	input	input	NOUN
cana-3281	13	30	.	.	PUNCT
cana-3281	14	1	the	the	DET
cana-3281	14	2	approach	approach	NOUN
cana-3281	14	3	focuses	focus	VERB
cana-3281	14	4	on	on	ADP
cana-3281	14	5	transforming	transform	VERB
cana-3281	14	6	user	user	NOUN
cana-3281	14	7	concepts	concept	NOUN
cana-3281	14	8	into	into	ADP
cana-3281	14	9	high	high	ADJ
cana-3281	14	10	-	-	PUNCT
cana-3281	14	11	quality	quality	NOUN
cana-3281	14	12	images	image	NOUN
cana-3281	14	13	,	,	PUNCT
cana-3281	14	14	offering	offer	VERB
cana-3281	14	15	a	a	DET
cana-3281	14	16	more	more	ADV
cana-3281	14	17	direct	direct	ADJ
cana-3281	14	18	and	and	CCONJ
cana-3281	14	19	intuitive	intuitive	ADJ
cana-3281	14	20	way	way	NOUN
cana-3281	14	21	to	to	PART
cana-3281	14	22	interact	interact	VERB
cana-3281	14	23	with	with	ADP
cana-3281	14	24	ai	ai	PROPN
cana-3281	14	25	.	.	PUNCT
cana-3281	15	1	this	this	DET
cana-3281	15	2	method	method	NOUN
cana-3281	15	3	enhances	enhance	VERB
cana-3281	15	4	user	user	NOUN
cana-3281	15	5	experience	experience	NOUN
cana-3281	15	6	by	by	ADP
cana-3281	15	7	enabling	enable	VERB
cana-3281	15	8	a	a	DET
cana-3281	15	9	natural	natural	ADJ
cana-3281	15	10	,	,	PUNCT
cana-3281	15	11	expressive	expressive	ADJ
cana-3281	15	12	form	form	NOUN
cana-3281	15	13	of	of	ADP
cana-3281	15	14	communication	communication	NOUN
cana-3281	15	15	with	with	ADP
cana-3281	15	16	technology	technology	NOUN
cana-3281	15	17	.	.	PUNCT
cana-3281	16	1	mailto:rohan.sasne21@vit.edu	mailto:rohan.sasne21@vit.edu	PROPN
cana-3281	16	2	mailto:manikrao.dhore@vit.edu	mailto:manikrao.dhore@vit.edu	VERB
cana-3281	16	3	mailto:riya.loya21@vit.edu	mailto:riya.loya21@vit.edu	NOUN
cana-3281	16	4	communications	communication	NOUN
cana-3281	16	5	on	on	ADP
cana-3281	16	6	applied	apply	VERB
cana-3281	16	7	nonlinear	nonlinear	ADJ
cana-3281	16	8	analysis	analysis	NOUN
cana-3281	16	9	issn	issn	NOUN
cana-3281	16	10	:	:	PUNCT
cana-3281	16	11	1074	1074	NUM
cana-3281	16	12	-	-	PUNCT
cana-3281	16	13	133x	133x	NUM
cana-3281	16	14	vol	vol	NOUN
cana-3281	16	15	32	32	NUM
cana-3281	16	16	no	no	NOUN
cana-3281	16	17	.	.	PUNCT
cana-3281	17	1	6s	6s	NUM
cana-3281	17	2	(	(	PUNCT
cana-3281	17	3	2025	2025	NUM
cana-3281	17	4	)	)	PUNCT
cana-3281	17	5	135	135	NUM
cana-3281	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	17	7	at	at	ADP
cana-3281	17	8	the	the	DET
cana-3281	17	9	core	core	NOUN
cana-3281	17	10	of	of	ADP
cana-3281	17	11	this	this	DET
cana-3281	17	12	innovation	innovation	NOUN
cana-3281	17	13	is	be	AUX
cana-3281	17	14	the	the	DET
cana-3281	17	15	creation	creation	NOUN
cana-3281	17	16	of	of	ADP
cana-3281	17	17	a	a	DET
cana-3281	17	18	system	system	NOUN
cana-3281	17	19	capable	capable	ADJ
cana-3281	17	20	of	of	ADP
cana-3281	17	21	understanding	understanding	NOUN
cana-3281	17	22	and	and	CCONJ
cana-3281	17	23	producing	produce	VERB
cana-3281	17	24	outputs	output	NOUN
cana-3281	17	25	from	from	ADP
cana-3281	17	26	user	user	NOUN
cana-3281	17	27	inputs	input	NOUN
cana-3281	17	28	using	use	VERB
cana-3281	17	29	customized	customized	ADJ
cana-3281	17	30	gan	gan	NOUN
cana-3281	17	31	models	model	NOUN
cana-3281	17	32	.	.	PUNCT
cana-3281	18	1	the	the	DET
cana-3281	18	2	system	system	NOUN
cana-3281	18	3	allows	allow	VERB
cana-3281	18	4	for	for	ADP
cana-3281	18	5	real	real	ADJ
cana-3281	18	6	-	-	PUNCT
cana-3281	18	7	time	time	NOUN
cana-3281	18	8	interaction	interaction	NOUN
cana-3281	18	9	,	,	PUNCT
cana-3281	18	10	where	where	SCONJ
cana-3281	18	11	user	user	NOUN
cana-3281	18	12	commands	command	NOUN
cana-3281	18	13	are	be	AUX
cana-3281	18	14	instantly	instantly	ADV
cana-3281	18	15	converted	convert	VERB
cana-3281	18	16	into	into	ADP
cana-3281	18	17	visual	visual	ADJ
cana-3281	18	18	representations	representation	NOUN
cana-3281	18	19	.	.	PUNCT
cana-3281	19	1	by	by	ADP
cana-3281	19	2	incorporating	incorporate	VERB
cana-3281	19	3	various	various	ADJ
cana-3281	19	4	gan	gan	NOUN
cana-3281	19	5	models	model	NOUN
cana-3281	19	6	,	,	PUNCT
cana-3281	19	7	the	the	DET
cana-3281	19	8	system	system	NOUN
cana-3281	19	9	remains	remain	VERB
cana-3281	19	10	flexible	flexible	ADJ
cana-3281	19	11	and	and	CCONJ
cana-3281	19	12	adaptable	adaptable	ADJ
cana-3281	19	13	to	to	ADP
cana-3281	19	14	different	different	ADJ
cana-3281	19	15	user	user	NOUN
cana-3281	19	16	needs	need	NOUN
cana-3281	19	17	,	,	PUNCT
cana-3281	19	18	expanding	expand	VERB
cana-3281	19	19	the	the	DET
cana-3281	19	20	possibilities	possibility	NOUN
cana-3281	19	21	for	for	ADP
cana-3281	19	22	ai	ai	ADV
cana-3281	19	23	-	-	PUNCT
cana-3281	19	24	driven	drive	VERB
cana-3281	19	25	interactions	interaction	NOUN
cana-3281	19	26	.	.	PUNCT
cana-3281	20	1	the	the	DET
cana-3281	20	2	technical	technical	PROPN
cana-3281	20	3	foundation	foundation	PROPN
cana-3281	20	4	of	of	ADP
cana-3281	20	5	this	this	DET
cana-3281	20	6	system	system	NOUN
cana-3281	20	7	revolves	revolve	VERB
cana-3281	20	8	around	around	ADP
cana-3281	20	9	mapping	mapping	NOUN
cana-3281	20	10	user	user	NOUN
cana-3281	20	11	inputs	input	NOUN
cana-3281	20	12	to	to	PART
cana-3281	20	13	noise	noise	VERB
cana-3281	20	14	vectors	vector	NOUN
cana-3281	20	15	within	within	ADP
cana-3281	20	16	the	the	DET
cana-3281	20	17	gan	gan	ADJ
cana-3281	20	18	architecture	architecture	NOUN
cana-3281	20	19	.	.	PUNCT
cana-3281	21	1	by	by	ADP
cana-3281	21	2	leveraging	leverage	VERB
cana-3281	21	3	interpolation	interpolation	NOUN
cana-3281	21	4	techniques	technique	NOUN
cana-3281	21	5	,	,	PUNCT
cana-3281	21	6	it	it	PRON
cana-3281	21	7	ensures	ensure	VERB
cana-3281	21	8	seamless	seamless	ADJ
cana-3281	21	9	transitions	transition	NOUN
cana-3281	21	10	between	between	ADP
cana-3281	21	11	different	different	ADJ
cana-3281	21	12	generated	generate	VERB
cana-3281	21	13	outputs	output	NOUN
cana-3281	21	14	.	.	PUNCT
cana-3281	22	1	this	this	DET
cana-3281	22	2	approach	approach	NOUN
cana-3281	22	3	allows	allow	VERB
cana-3281	22	4	for	for	ADP
cana-3281	22	5	enhanced	enhanced	ADJ
cana-3281	22	6	image	image	NOUN
cana-3281	22	7	quality	quality	NOUN
cana-3281	22	8	,	,	PUNCT
cana-3281	22	9	driven	drive	VERB
cana-3281	22	10	by	by	ADP
cana-3281	22	11	advanced	advanced	ADJ
cana-3281	22	12	deep	deep	ADJ
cana-3281	22	13	learning	learning	NOUN
cana-3281	22	14	methods	method	NOUN
cana-3281	22	15	that	that	PRON
cana-3281	22	16	ensure	ensure	VERB
cana-3281	22	17	outputs	output	NOUN
cana-3281	22	18	are	be	AUX
cana-3281	22	19	not	not	PART
cana-3281	22	20	only	only	ADV
cana-3281	22	21	realistic	realistic	ADJ
cana-3281	22	22	but	but	CCONJ
cana-3281	22	23	also	also	ADV
cana-3281	22	24	meet	meet	VERB
cana-3281	22	25	user	user	NOUN
cana-3281	22	26	expectations	expectation	NOUN
cana-3281	22	27	.	.	PUNCT
cana-3281	23	1	additionally	additionally	ADV
cana-3281	23	2	,	,	PUNCT
cana-3281	23	3	the	the	DET
cana-3281	23	4	system	system	NOUN
cana-3281	23	5	incorporates	incorporate	VERB
cana-3281	23	6	progressive	progressive	ADJ
cana-3281	23	7	learning	learn	VERB
cana-3281	23	8	techniques	technique	NOUN
cana-3281	23	9	to	to	PART
cana-3281	23	10	refine	refine	VERB
cana-3281	23	11	the	the	DET
cana-3281	23	12	generated	generate	VERB
cana-3281	23	13	visuals	visual	NOUN
cana-3281	23	14	,	,	PUNCT
cana-3281	23	15	ensuring	ensure	VERB
cana-3281	23	16	that	that	SCONJ
cana-3281	23	17	the	the	DET
cana-3281	23	18	model	model	NOUN
cana-3281	23	19	adapts	adapt	VERB
cana-3281	23	20	dynamically	dynamically	ADV
cana-3281	23	21	to	to	ADP
cana-3281	23	22	user	user	NOUN
cana-3281	23	23	preferences	preference	NOUN
cana-3281	23	24	over	over	ADP
cana-3281	23	25	time	time	NOUN
cana-3281	23	26	.	.	PUNCT
cana-3281	24	1	furthermore	furthermore	ADV
cana-3281	24	2	,	,	PUNCT
cana-3281	24	3	to	to	PART
cana-3281	24	4	improve	improve	VERB
cana-3281	24	5	interaction	interaction	NOUN
cana-3281	24	6	efficiency	efficiency	NOUN
cana-3281	24	7	,	,	PUNCT
cana-3281	24	8	the	the	DET
cana-3281	24	9	system	system	NOUN
cana-3281	24	10	employs	employ	VERB
cana-3281	24	11	adaptive	adaptive	ADJ
cana-3281	24	12	feedback	feedback	NOUN
cana-3281	24	13	loops	loop	NOUN
cana-3281	24	14	where	where	SCONJ
cana-3281	24	15	user	user	NOUN
cana-3281	24	16	inputs	input	NOUN
cana-3281	24	17	and	and	CCONJ
cana-3281	24	18	responses	response	NOUN
cana-3281	24	19	are	be	AUX
cana-3281	24	20	continuously	continuously	ADV
cana-3281	24	21	analyzed	analyze	VERB
cana-3281	24	22	to	to	ADP
cana-3281	24	23	fine	fine	ADJ
cana-3281	24	24	-	-	PUNCT
cana-3281	24	25	tune	tune	NOUN
cana-3281	24	26	the	the	DET
cana-3281	24	27	gan	gan	PROPN
cana-3281	24	28	models	model	NOUN
cana-3281	24	29	.	.	PUNCT
cana-3281	25	1	this	this	DET
cana-3281	25	2	iterative	iterative	NOUN
cana-3281	25	3	process	process	NOUN
cana-3281	25	4	helps	helps	AUX
cana-3281	25	5	maintain	maintain	VERB
cana-3281	25	6	alignment	alignment	NOUN
cana-3281	25	7	with	with	ADP
cana-3281	25	8	user	user	NOUN
cana-3281	25	9	intent	intent	NOUN
cana-3281	25	10	,	,	PUNCT
cana-3281	25	11	enhancing	enhance	VERB
cana-3281	25	12	the	the	DET
cana-3281	25	13	system	system	NOUN
cana-3281	25	14	’s	’s	PART
cana-3281	25	15	ability	ability	NOUN
cana-3281	25	16	to	to	PART
cana-3281	25	17	generate	generate	VERB
cana-3281	25	18	high	high	ADJ
cana-3281	25	19	fidelity	fidelity	NOUN
cana-3281	25	20	,	,	PUNCT
cana-3281	25	21	context	context	NOUN
cana-3281	25	22	-	-	PUNCT
cana-3281	25	23	aware	aware	ADJ
cana-3281	25	24	images	image	NOUN
cana-3281	25	25	.	.	PUNCT
cana-3281	26	1	some	some	DET
cana-3281	26	2	main	main	ADJ
cana-3281	26	3	objectives	objective	NOUN
cana-3281	26	4	of	of	ADP
cana-3281	26	5	the	the	DET
cana-3281	26	6	proposed	propose	VERB
cana-3281	26	7	model	model	NOUN
cana-3281	26	8	are	be	AUX
cana-3281	26	9	:	:	PUNCT
cana-3281	26	10	●	●	PUNCT
cana-3281	26	11	develop	develop	VERB
cana-3281	26	12	a	a	DET
cana-3281	26	13	multi	multi	ADJ
cana-3281	26	14	-	-	ADJ
cana-3281	26	15	gan	gan	ADJ
cana-3281	26	16	framework	framework	NOUN
cana-3281	26	17	for	for	ADP
cana-3281	26	18	high	high	ADJ
cana-3281	26	19	-	-	PUNCT
cana-3281	26	20	resolution	resolution	NOUN
cana-3281	26	21	image	image	NOUN
cana-3281	26	22	generation	generation	NOUN
cana-3281	26	23	from	from	ADP
cana-3281	26	24	sketches	sketch	NOUN
cana-3281	26	25	.	.	PUNCT
cana-3281	27	1	●	●	PUNCT
cana-3281	27	2	enhance	enhance	NOUN
cana-3281	27	3	image	image	NOUN
cana-3281	27	4	fidelity	fidelity	NOUN
cana-3281	27	5	with	with	ADP
cana-3281	27	6	improved	improve	VERB
cana-3281	27	7	per	per	ADP
cana-3281	27	8	-	-	PUNCT
cana-3281	27	9	pixel	pixel	NOUN
cana-3281	27	10	and	and	CCONJ
cana-3281	27	11	per	per	ADP
cana-3281	27	12	-	-	PUNCT
cana-3281	27	13	class	class	NOUN
cana-3281	27	14	accuracy	accuracy	NOUN
cana-3281	27	15	.	.	PUNCT
cana-3281	28	1	●	●	PUNCT
cana-3281	28	2	enable	enable	ADJ
cana-3281	28	3	user	user	NOUN
cana-3281	28	4	-	-	PUNCT
cana-3281	28	5	driven	drive	VERB
cana-3281	28	6	inputs	input	NOUN
cana-3281	28	7	for	for	ADP
cana-3281	28	8	personalized	personalized	ADJ
cana-3281	28	9	,	,	PUNCT
cana-3281	28	10	real	real	ADJ
cana-3281	28	11	-	-	PUNCT
cana-3281	28	12	time	time	NOUN
cana-3281	28	13	image	image	NOUN
cana-3281	28	14	customization	customization	NOUN
cana-3281	28	15	.	.	PUNCT
cana-3281	29	1	●	●	PUNCT
cana-3281	29	2	utilize	utilize	VERB
cana-3281	29	3	multi	multi	ADJ
cana-3281	29	4	-	-	ADJ
cana-3281	29	5	class	class	ADJ
cana-3281	29	6	cnn	cnn	NOUN
cana-3281	29	7	for	for	ADP
cana-3281	29	8	effective	effective	ADJ
cana-3281	29	9	domain	domain	NOUN
cana-3281	29	10	-	-	PUNCT
cana-3281	29	11	specific	specific	ADJ
cana-3281	29	12	image	image	NOUN
cana-3281	29	13	categorization	categorization	NOUN
cana-3281	29	14	.	.	PUNCT
cana-3281	30	1	●	●	PUNCT
cana-3281	30	2	implement	implement	VERB
cana-3281	30	3	adaptive	adaptive	ADJ
cana-3281	30	4	feedback	feedback	NOUN
cana-3281	30	5	loops	loop	NOUN
cana-3281	30	6	to	to	PART
cana-3281	30	7	refine	refine	VERB
cana-3281	30	8	gan	gan	PROPN
cana-3281	30	9	outputs	output	NOUN
cana-3281	30	10	based	base	VERB
cana-3281	30	11	on	on	ADP
cana-3281	30	12	user	user	NOUN
cana-3281	30	13	input	input	NOUN
cana-3281	30	14	.	.	PUNCT
cana-3281	31	1	●	●	PUNCT
cana-3281	31	2	advance	advance	NOUN
cana-3281	31	3	gan	gan	NOUN
cana-3281	31	4	interactivity	interactivity	NOUN
cana-3281	31	5	for	for	ADP
cana-3281	31	6	applications	application	NOUN
cana-3281	31	7	in	in	ADP
cana-3281	31	8	design	design	NOUN
cana-3281	31	9	,	,	PUNCT
cana-3281	31	10	vr	vr	NOUN
cana-3281	31	11	,	,	PUNCT
cana-3281	31	12	and	and	CCONJ
cana-3281	31	13	hci	hci	NOUN
cana-3281	31	14	.	.	PUNCT
cana-3281	32	1	overview	overview	NOUN
cana-3281	32	2	of	of	ADP
cana-3281	32	3	the	the	DET
cana-3281	32	4	paper	paper	NOUN
cana-3281	32	5	lies	lie	VERB
cana-3281	32	6	in	in	ADP
cana-3281	32	7	gan	gan	NOUN
cana-3281	32	8	-	-	PUNCT
cana-3281	32	9	based	base	VERB
cana-3281	32	10	frameworks	framework	NOUN
cana-3281	32	11	have	have	AUX
cana-3281	32	12	underscored	underscore	VERB
cana-3281	32	13	the	the	DET
cana-3281	32	14	importance	importance	NOUN
cana-3281	32	15	of	of	ADP
cana-3281	32	16	user	user	NOUN
cana-3281	32	17	-	-	PUNCT
cana-3281	32	18	guided	guide	VERB
cana-3281	32	19	input	input	NOUN
cana-3281	32	20	in	in	ADP
cana-3281	32	21	achieving	achieve	VERB
cana-3281	32	22	personalized	personalize	VERB
cana-3281	32	23	ai	ai	VERB
cana-3281	32	24	outputs	output	NOUN
cana-3281	32	25	.	.	PUNCT
cana-3281	33	1	by	by	ADP
cana-3281	33	2	focusing	focus	VERB
cana-3281	33	3	on	on	ADP
cana-3281	33	4	user	user	NOUN
cana-3281	33	5	interactivity	interactivity	NOUN
cana-3281	33	6	,	,	PUNCT
cana-3281	33	7	this	this	DET
cana-3281	33	8	study	study	NOUN
cana-3281	33	9	addresses	address	VERB
cana-3281	33	10	a	a	DET
cana-3281	33	11	key	key	ADJ
cana-3281	33	12	limitation	limitation	NOUN
cana-3281	33	13	in	in	ADP
cana-3281	33	14	traditional	traditional	ADJ
cana-3281	33	15	gan	gan	NOUN
cana-3281	33	16	models	model	NOUN
cana-3281	33	17	,	,	PUNCT
cana-3281	33	18	which	which	PRON
cana-3281	33	19	often	often	ADV
cana-3281	33	20	operate	operate	VERB
cana-3281	33	21	in	in	ADP
cana-3281	33	22	fixed	fix	VERB
cana-3281	33	23	,	,	PUNCT
cana-3281	33	24	less	less	ADV
cana-3281	33	25	adaptable	adaptable	ADJ
cana-3281	33	26	configurations	configuration	NOUN
cana-3281	33	27	.	.	PUNCT
cana-3281	34	1	integrating	integrate	VERB
cana-3281	34	2	customizable	customizable	NOUN
cana-3281	34	3	user	user	NOUN
cana-3281	34	4	inputs	input	NOUN
cana-3281	34	5	within	within	ADP
cana-3281	34	6	gan	gan	PROPN
cana-3281	34	7	architectures	architecture	NOUN
cana-3281	34	8	enables	enable	VERB
cana-3281	34	9	a	a	DET
cana-3281	34	10	more	more	ADV
cana-3281	34	11	context	context	NOUN
cana-3281	34	12	-	-	PUNCT
cana-3281	34	13	sensitive	sensitive	ADJ
cana-3281	34	14	and	and	CCONJ
cana-3281	34	15	user	user	NOUN
cana-3281	34	16	-	-	PUNCT
cana-3281	34	17	centric	centric	ADJ
cana-3281	34	18	output	output	NOUN
cana-3281	34	19	,	,	PUNCT
cana-3281	34	20	aligning	align	VERB
cana-3281	34	21	ai	ai	NOUN
cana-3281	34	22	-	-	PUNCT
cana-3281	34	23	generated	generate	VERB
cana-3281	34	24	visuals	visual	NOUN
cana-3281	34	25	more	more	ADV
cana-3281	34	26	closely	closely	ADV
cana-3281	34	27	with	with	ADP
cana-3281	34	28	user	user	NOUN
cana-3281	34	29	intent	intent	NOUN
cana-3281	34	30	.	.	PUNCT
cana-3281	35	1	this	this	DET
cana-3281	35	2	approach	approach	NOUN
cana-3281	35	3	does	do	AUX
cana-3281	35	4	not	not	PART
cana-3281	35	5	merely	merely	ADV
cana-3281	35	6	focus	focus	VERB
cana-3281	35	7	on	on	ADP
cana-3281	35	8	high	high	ADJ
cana-3281	35	9	-	-	PUNCT
cana-3281	35	10	quality	quality	NOUN
cana-3281	35	11	image	image	NOUN
cana-3281	35	12	generation	generation	NOUN
cana-3281	35	13	;	;	PUNCT
cana-3281	35	14	it	it	PRON
cana-3281	35	15	establishes	establish	VERB
cana-3281	35	16	a	a	DET
cana-3281	35	17	dynamic	dynamic	ADJ
cana-3281	35	18	interaction	interaction	NOUN
cana-3281	35	19	where	where	SCONJ
cana-3281	35	20	ai	ai	VERB
cana-3281	35	21	models	model	NOUN
cana-3281	35	22	evolve	evolve	AUX
cana-3281	35	23	based	base	VERB
cana-3281	35	24	on	on	ADP
cana-3281	35	25	the	the	DET
cana-3281	35	26	nuances	nuance	NOUN
cana-3281	35	27	of	of	ADP
cana-3281	35	28	human	human	ADJ
cana-3281	35	29	feedback	feedback	NOUN
cana-3281	35	30	.	.	PUNCT
cana-3281	36	1	such	such	ADJ
cana-3281	36	2	developments	development	NOUN
cana-3281	36	3	are	be	AUX
cana-3281	36	4	essential	essential	ADJ
cana-3281	36	5	in	in	ADP
cana-3281	36	6	fields	field	NOUN
cana-3281	36	7	requiring	require	VERB
cana-3281	36	8	rapid	rapid	ADJ
cana-3281	36	9	,	,	PUNCT
cana-3281	36	10	accurate	accurate	ADJ
cana-3281	36	11	visual	visual	ADJ
cana-3281	36	12	representations	representation	NOUN
cana-3281	36	13	,	,	PUNCT
cana-3281	36	14	such	such	ADJ
cana-3281	36	15	as	as	ADP
cana-3281	36	16	design	design	NOUN
cana-3281	36	17	,	,	PUNCT
cana-3281	36	18	virtual	virtual	ADJ
cana-3281	36	19	reality	reality	NOUN
cana-3281	36	20	,	,	PUNCT
cana-3281	36	21	and	and	CCONJ
cana-3281	36	22	human	human	ADJ
cana-3281	36	23	-	-	PUNCT
cana-3281	36	24	computer	computer	NOUN
cana-3281	36	25	interaction	interaction	NOUN
cana-3281	36	26	.	.	PUNCT
cana-3281	37	1	by	by	ADP
cana-3281	37	2	optimizing	optimize	VERB
cana-3281	37	3	these	these	DET
cana-3281	37	4	ai	ai	NOUN
cana-3281	37	5	models	model	NOUN
cana-3281	37	6	to	to	PART
cana-3281	37	7	accommodate	accommodate	VERB
cana-3281	37	8	varied	varied	ADJ
cana-3281	37	9	,	,	PUNCT
cana-3281	37	10	real	real	ADJ
cana-3281	37	11	-	-	PUNCT
cana-3281	37	12	time	time	NOUN
cana-3281	37	13	inputs	input	NOUN
cana-3281	37	14	,	,	PUNCT
cana-3281	37	15	this	this	DET
cana-3281	37	16	research	research	NOUN
cana-3281	37	17	contributes	contribute	VERB
cana-3281	37	18	to	to	ADP
cana-3281	37	19	advancing	advance	VERB
cana-3281	37	20	gan	gan	NOUN
cana-3281	37	21	technology	technology	NOUN
cana-3281	37	22	as	as	ADP
cana-3281	37	23	a	a	DET
cana-3281	37	24	versatile	versatile	ADJ
cana-3281	37	25	tool	tool	NOUN
cana-3281	37	26	capable	capable	ADJ
cana-3281	37	27	of	of	ADP
cana-3281	37	28	bridging	bridge	VERB
cana-3281	37	29	the	the	DET
cana-3281	37	30	human	human	ADJ
cana-3281	37	31	-	-	PUNCT
cana-3281	37	32	computer	computer	NOUN
cana-3281	37	33	divide	divide	NOUN
cana-3281	37	34	.	.	PUNCT
cana-3281	38	1	ii	ii	X
cana-3281	38	2	.	.	PROPN
cana-3281	38	3	related	relate	VERB
cana-3281	38	4	works	work	VERB
cana-3281	38	5	the	the	DET
cana-3281	38	6	“	"	PUNCT
cana-3281	38	7	attention	attention	NOUN
cana-3281	38	8	is	be	AUX
cana-3281	38	9	all	all	PRON
cana-3281	38	10	you	you	PRON
cana-3281	38	11	need	need	VERB
cana-3281	38	12	”	"	PUNCT
cana-3281	38	13	paper	paper	NOUN
cana-3281	38	14	,	,	PUNCT
cana-3281	38	15	authored	author	VERB
cana-3281	38	16	by	by	ADP
cana-3281	38	17	vaswani	vaswani	PROPN
cana-3281	38	18	et	et	PROPN
cana-3281	38	19	al	al	PROPN
cana-3281	38	20	.	.	PROPN
cana-3281	39	1	in	in	ADP
cana-3281	39	2	2017	2017	NUM
cana-3281	39	3	,	,	PUNCT
cana-3281	39	4	made	make	VERB
cana-3281	39	5	a	a	DET
cana-3281	39	6	significant	significant	ADJ
cana-3281	39	7	impact	impact	NOUN
cana-3281	39	8	in	in	ADP
cana-3281	39	9	the	the	DET
cana-3281	39	10	fields	field	NOUN
cana-3281	39	11	of	of	ADP
cana-3281	39	12	natural	natural	ADJ
cana-3281	39	13	language	language	NOUN
cana-3281	39	14	processing	processing	NOUN
cana-3281	39	15	and	and	CCONJ
cana-3281	39	16	deep	deep	ADJ
cana-3281	39	17	learning	learning	NOUN
cana-3281	39	18	by	by	ADP
cana-3281	39	19	introducing	introduce	VERB
cana-3281	39	20	the	the	DET
cana-3281	39	21	transformer	transformer	NOUN
cana-3281	39	22	architecture	architecture	NOUN
cana-3281	39	23	.	.	PUNCT
cana-3281	40	1	this	this	DET
cana-3281	40	2	model	model	NOUN
cana-3281	40	3	is	be	AUX
cana-3281	40	4	highly	highly	ADV
cana-3281	40	5	effective	effective	ADJ
cana-3281	40	6	at	at	ADP
cana-3281	40	7	capturing	capture	VERB
cana-3281	40	8	long	long	ADJ
cana-3281	40	9	-	-	PUNCT
cana-3281	40	10	range	range	NOUN
cana-3281	40	11	dependencies	dependency	NOUN
cana-3281	40	12	in	in	ADP
cana-3281	40	13	data	datum	NOUN
cana-3281	40	14	.	.	PUNCT
cana-3281	41	1	compared	compare	VERB
cana-3281	41	2	to	to	ADP
cana-3281	41	3	rnns	rnns	PROPN
cana-3281	41	4	and	and	CCONJ
cana-3281	41	5	cnns	cnn	NOUN
cana-3281	41	6	,	,	PUNCT
cana-3281	41	7	transformers	transformer	NOUN
cana-3281	41	8	have	have	AUX
cana-3281	41	9	demonstrated	demonstrate	VERB
cana-3281	41	10	superior	superior	ADJ
cana-3281	41	11	performance	performance	NOUN
cana-3281	41	12	in	in	ADP
cana-3281	41	13	tasks	task	NOUN
cana-3281	41	14	such	such	ADJ
cana-3281	41	15	as	as	ADP
cana-3281	41	16	machine	machine	NOUN
cana-3281	41	17	communications	communication	NOUN
cana-3281	41	18	on	on	ADP
cana-3281	41	19	applied	apply	VERB
cana-3281	41	20	nonlinear	nonlinear	ADJ
cana-3281	41	21	analysis	analysis	NOUN
cana-3281	41	22	issn	issn	NOUN
cana-3281	41	23	:	:	PUNCT
cana-3281	41	24	1074	1074	NUM
cana-3281	41	25	-	-	PUNCT
cana-3281	41	26	133x	133x	NUM
cana-3281	41	27	vol	vol	NOUN
cana-3281	41	28	32	32	NUM
cana-3281	41	29	no	no	NOUN
cana-3281	41	30	.	.	PUNCT
cana-3281	42	1	6s	6s	NUM
cana-3281	42	2	(	(	PUNCT
cana-3281	42	3	2025	2025	NUM
cana-3281	42	4	)	)	PUNCT
cana-3281	42	5	136	136	NUM
cana-3281	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	42	7	translation	translation	NOUN
cana-3281	42	8	,	,	PUNCT
cana-3281	42	9	text	text	NOUN
cana-3281	42	10	summarization	summarization	NOUN
cana-3281	42	11	,	,	PUNCT
cana-3281	42	12	and	and	CCONJ
cana-3281	42	13	overall	overall	ADJ
cana-3281	42	14	language	language	NOUN
cana-3281	42	15	understanding	understanding	NOUN
cana-3281	42	16	,	,	PUNCT
cana-3281	42	17	largely	largely	ADV
cana-3281	42	18	due	due	ADJ
cana-3281	42	19	to	to	ADP
cana-3281	42	20	their	their	PRON
cana-3281	42	21	efficient	efficient	ADJ
cana-3281	42	22	ability	ability	NOUN
cana-3281	42	23	to	to	PART
cana-3281	42	24	capture	capture	VERB
cana-3281	42	25	global	global	ADJ
cana-3281	42	26	context	context	NOUN
cana-3281	43	1	[	[	X
cana-3281	43	2	1	1	NUM
cana-3281	43	3	]	]	PUNCT
cana-3281	43	4	.	.	PUNCT
cana-3281	44	1	in	in	ADP
cana-3281	44	2	recent	recent	ADJ
cana-3281	44	3	years	year	NOUN
cana-3281	44	4	,	,	PUNCT
cana-3281	44	5	generative	generative	ADJ
cana-3281	44	6	adversarial	adversarial	ADJ
cana-3281	44	7	networks	network	NOUN
cana-3281	44	8	(	(	PUNCT
cana-3281	44	9	gans	gan	NOUN
cana-3281	44	10	)	)	PUNCT
cana-3281	44	11	have	have	AUX
cana-3281	44	12	gained	gain	VERB
cana-3281	44	13	substantial	substantial	ADJ
cana-3281	44	14	attention	attention	NOUN
cana-3281	44	15	for	for	ADP
cana-3281	44	16	their	their	PRON
cana-3281	44	17	role	role	NOUN
cana-3281	44	18	in	in	ADP
cana-3281	44	19	image	image	NOUN
cana-3281	44	20	synthesis	synthesis	NOUN
cana-3281	44	21	in	in	ADP
cana-3281	44	22	both	both	PRON
cana-3281	44	23	computer	computer	NOUN
cana-3281	44	24	vision	vision	NOUN
cana-3281	44	25	and	and	CCONJ
cana-3281	44	26	natural	natural	ADJ
cana-3281	44	27	language	language	NOUN
cana-3281	44	28	processing	processing	NOUN
cana-3281	44	29	.	.	PUNCT
cana-3281	45	1	introduced	introduce	VERB
cana-3281	45	2	in	in	ADP
cana-3281	45	3	2014	2014	NUM
cana-3281	45	4	,	,	PUNCT
cana-3281	45	5	gans	gan	NOUN
cana-3281	45	6	have	have	AUX
cana-3281	45	7	consistently	consistently	ADV
cana-3281	45	8	demonstrated	demonstrate	VERB
cana-3281	45	9	impressive	impressive	ADJ
cana-3281	45	10	results	result	NOUN
cana-3281	45	11	across	across	ADP
cana-3281	45	12	a	a	DET
cana-3281	45	13	wide	wide	ADJ
cana-3281	45	14	range	range	NOUN
cana-3281	45	15	of	of	ADP
cana-3281	45	16	applications	application	NOUN
cana-3281	45	17	[	[	X
cana-3281	45	18	2	2	NUM
cana-3281	45	19	]	]	PUNCT
cana-3281	45	20	.	.	PUNCT
cana-3281	46	1	this	this	DET
cana-3281	46	2	paper	paper	NOUN
cana-3281	46	3	examines	examine	VERB
cana-3281	46	4	various	various	ADJ
cana-3281	46	5	image	image	NOUN
cana-3281	46	6	synthesis	synthesis	NOUN
cana-3281	46	7	techniques	technique	NOUN
cana-3281	46	8	,	,	PUNCT
cana-3281	46	9	providing	provide	VERB
cana-3281	46	10	a	a	DET
cana-3281	46	11	comprehensive	comprehensive	ADJ
cana-3281	46	12	review	review	NOUN
cana-3281	46	13	of	of	ADP
cana-3281	46	14	models	model	NOUN
cana-3281	46	15	utilized	utilize	VERB
cana-3281	46	16	for	for	ADP
cana-3281	46	17	text	text	NOUN
cana-3281	46	18	-	-	PUNCT
cana-3281	46	19	to	to	ADP
cana-3281	46	20	-	-	PUNCT
cana-3281	46	21	image	image	NOUN
cana-3281	46	22	and	and	CCONJ
cana-3281	46	23	image	image	NOUN
cana-3281	46	24	-	-	PUNCT
cana-3281	46	25	to	to	ADP
cana-3281	46	26	-	-	PUNCT
cana-3281	46	27	image	image	NOUN
cana-3281	46	28	translation	translation	NOUN
cana-3281	46	29	.	.	PUNCT
cana-3281	47	1	it	it	PRON
cana-3281	47	2	also	also	ADV
cana-3281	47	3	evaluates	evaluate	VERB
cana-3281	47	4	different	different	ADJ
cana-3281	47	5	metrics	metric	NOUN
cana-3281	47	6	and	and	CCONJ
cana-3281	47	7	identifies	identify	VERB
cana-3281	47	8	future	future	ADJ
cana-3281	47	9	research	research	NOUN
cana-3281	47	10	opportunities	opportunity	NOUN
cana-3281	47	11	in	in	ADP
cana-3281	47	12	gan	gan	NOUN
cana-3281	47	13	-	-	PUNCT
cana-3281	47	14	based	base	VERB
cana-3281	47	15	image	image	NOUN
cana-3281	47	16	synthesis	synthesis	NOUN
cana-3281	47	17	.	.	PUNCT
cana-3281	48	1	while	while	SCONJ
cana-3281	48	2	deep	deep	ADJ
cana-3281	48	3	generative	generative	ADJ
cana-3281	48	4	models	model	NOUN
cana-3281	48	5	,	,	PUNCT
cana-3281	48	6	such	such	ADJ
cana-3281	48	7	as	as	ADP
cana-3281	48	8	gans	gan	NOUN
cana-3281	48	9	,	,	PUNCT
cana-3281	48	10	have	have	VERB
cana-3281	48	11	the	the	DET
cana-3281	48	12	ability	ability	NOUN
cana-3281	48	13	to	to	PART
cana-3281	48	14	generate	generate	VERB
cana-3281	48	15	an	an	DET
cana-3281	48	16	extensive	extensive	ADJ
cana-3281	48	17	range	range	NOUN
cana-3281	48	18	of	of	ADP
cana-3281	48	19	realistic	realistic	ADJ
cana-3281	48	20	,	,	PUNCT
cana-3281	48	21	diverse	diverse	ADJ
cana-3281	48	22	,	,	PUNCT
cana-3281	48	23	and	and	CCONJ
cana-3281	48	24	original	original	ADJ
cana-3281	48	25	content	content	NOUN
cana-3281	48	26	with	with	ADP
cana-3281	48	27	relatively	relatively	ADV
cana-3281	48	28	minimal	minimal	ADJ
cana-3281	48	29	effort	effort	NOUN
cana-3281	48	30	,	,	PUNCT
cana-3281	48	31	training	train	VERB
cana-3281	48	32	these	these	DET
cana-3281	48	33	models	model	NOUN
cana-3281	48	34	requires	require	VERB
cana-3281	48	35	significant	significant	ADJ
cana-3281	48	36	computational	computational	ADJ
cana-3281	48	37	resources	resource	NOUN
cana-3281	48	38	.	.	PUNCT
cana-3281	49	1	this	this	DET
cana-3281	49	2	high	high	ADJ
cana-3281	49	3	demand	demand	NOUN
cana-3281	49	4	for	for	ADP
cana-3281	49	5	processing	processing	NOUN
cana-3281	49	6	power	power	NOUN
cana-3281	49	7	limits	limit	VERB
cana-3281	49	8	the	the	DET
cana-3281	49	9	accessibility	accessibility	NOUN
cana-3281	49	10	of	of	ADP
cana-3281	49	11	gan	gan	ADJ
cana-3281	49	12	technology	technology	NOUN
cana-3281	49	13	for	for	ADP
cana-3281	49	14	many	many	ADJ
cana-3281	49	15	users	user	NOUN
cana-3281	49	16	,	,	PUNCT
cana-3281	49	17	despite	despite	SCONJ
cana-3281	49	18	its	its	PRON
cana-3281	49	19	immense	immense	ADJ
cana-3281	49	20	potential	potential	NOUN
cana-3281	49	21	.	.	PUNCT
cana-3281	50	1	additionally	additionally	ADV
cana-3281	50	2	,	,	PUNCT
cana-3281	50	3	developing	develop	VERB
cana-3281	50	4	a	a	DET
cana-3281	50	5	top	top	ADJ
cana-3281	50	6	-	-	PUNCT
cana-3281	50	7	notch	notch	NOUN
cana-3281	50	8	model	model	NOUN
cana-3281	50	9	demands	demand	VERB
cana-3281	50	10	largescale	largescale	NOUN
cana-3281	50	11	data	datum	NOUN
cana-3281	50	12	collection	collection	NOUN
cana-3281	50	13	and	and	CCONJ
cana-3281	50	14	careful	careful	ADJ
cana-3281	50	15	pre	pre	ADJ
cana-3281	50	16	-	-	NOUN
cana-3281	50	17	processing	processing	NOUN
cana-3281	50	18	,	,	PUNCT
cana-3281	50	19	which	which	PRON
cana-3281	50	20	can	can	AUX
cana-3281	50	21	be	be	AUX
cana-3281	50	22	expensive	expensive	ADJ
cana-3281	50	23	.	.	PUNCT
cana-3281	51	1	in	in	ADP
cana-3281	51	2	this	this	DET
cana-3281	51	3	study	study	NOUN
cana-3281	51	4	,	,	PUNCT
cana-3281	51	5	the	the	DET
cana-3281	51	6	authors	author	NOUN
cana-3281	51	7	introduce	introduce	VERB
cana-3281	51	8	a	a	DET
cana-3281	51	9	novel	novel	ADJ
cana-3281	51	10	approach	approach	NOUN
cana-3281	51	11	called	call	VERB
cana-3281	51	12	stacked	stack	VERB
cana-3281	51	13	generative	generative	ADJ
cana-3281	51	14	adversarial	adversarial	ADJ
cana-3281	51	15	networks	network	NOUN
cana-3281	51	16	(	(	PUNCT
cana-3281	51	17	sgan	sgan	PROPN
cana-3281	51	18	)	)	PUNCT
cana-3281	52	1	[	[	X
cana-3281	52	2	3	3	NUM
cana-3281	52	3	]	]	PUNCT
cana-3281	52	4	.	.	PUNCT
cana-3281	53	1	sgan	sgan	PROPN
cana-3281	53	2	is	be	AUX
cana-3281	53	3	a	a	DET
cana-3281	53	4	generative	generative	ADJ
cana-3281	53	5	model	model	NOUN
cana-3281	53	6	that	that	PRON
cana-3281	53	7	inverts	invert	VERB
cana-3281	53	8	the	the	DET
cana-3281	53	9	hierarchical	hierarchical	ADJ
cana-3281	53	10	representations	representation	NOUN
cana-3281	53	11	learned	learn	VERB
cana-3281	53	12	by	by	ADP
cana-3281	53	13	a	a	DET
cana-3281	53	14	discriminative	discriminative	NOUN
cana-3281	53	15	network	network	NOUN
cana-3281	53	16	.	.	PUNCT
cana-3281	54	1	the	the	DET
cana-3281	54	2	architecture	architecture	NOUN
cana-3281	54	3	consists	consist	VERB
cana-3281	54	4	of	of	ADP
cana-3281	54	5	multiple	multiple	ADJ
cana-3281	54	6	gans	gan	NOUN
cana-3281	54	7	arranged	arrange	VERB
cana-3281	54	8	in	in	ADP
cana-3281	54	9	a	a	DET
cana-3281	54	10	stack	stack	NOUN
cana-3281	54	11	,	,	PUNCT
cana-3281	54	12	where	where	SCONJ
cana-3281	54	13	each	each	DET
cana-3281	54	14	level	level	NOUN
cana-3281	54	15	generates	generate	VERB
cana-3281	54	16	lower	low	ADJ
cana-3281	54	17	-	-	PUNCT
cana-3281	54	18	level	level	NOUN
cana-3281	54	19	features	feature	NOUN
cana-3281	54	20	based	base	VERB
cana-3281	54	21	on	on	ADP
cana-3281	54	22	higher	high	ADJ
cana-3281	54	23	-	-	PUNCT
cana-3281	54	24	level	level	NOUN
cana-3281	54	25	representations	representation	NOUN
cana-3281	54	26	.	.	PUNCT
cana-3281	55	1	at	at	ADP
cana-3281	55	2	each	each	DET
cana-3281	55	3	hierarchical	hierarchical	ADJ
cana-3281	55	4	level	level	NOUN
cana-3281	55	5	,	,	PUNCT
cana-3281	55	6	representation	representation	NOUN
cana-3281	55	7	discriminators	discriminator	NOUN
cana-3281	55	8	ensure	ensure	VERB
cana-3281	55	9	that	that	SCONJ
cana-3281	55	10	the	the	DET
cana-3281	55	11	generator	generator	NOUN
cana-3281	55	12	’s	’s	PART
cana-3281	55	13	output	output	NOUN
cana-3281	55	14	aligns	align	VERB
cana-3281	55	15	with	with	ADP
cana-3281	55	16	the	the	DET
cana-3281	55	17	discriminative	discriminative	NOUN
cana-3281	55	18	network	network	NOUN
cana-3281	55	19	.	.	PUNCT
cana-3281	56	1	initially	initially	ADV
cana-3281	56	2	,	,	PUNCT
cana-3281	56	3	each	each	DET
cana-3281	56	4	stack	stack	NOUN
cana-3281	56	5	is	be	AUX
cana-3281	56	6	trained	train	VERB
cana-3281	56	7	separately	separately	ADV
cana-3281	56	8	,	,	PUNCT
cana-3281	56	9	followed	follow	VERB
cana-3281	56	10	by	by	ADP
cana-3281	56	11	end	end	NOUN
cana-3281	56	12	-	-	PUNCT
cana-3281	56	13	to	to	ADP
cana-3281	56	14	-	-	PUNCT
cana-3281	56	15	end	end	NOUN
cana-3281	56	16	training	training	NOUN
cana-3281	56	17	of	of	ADP
cana-3281	56	18	the	the	DET
cana-3281	56	19	entire	entire	ADJ
cana-3281	56	20	model	model	NOUN
cana-3281	56	21	.	.	PUNCT
cana-3281	57	1	unlike	unlike	ADP
cana-3281	57	2	traditional	traditional	ADJ
cana-3281	57	3	gans	gan	NOUN
cana-3281	57	4	,	,	PUNCT
cana-3281	57	5	sgan	sgan	NOUN
cana-3281	57	6	decomposes	decompose	VERB
cana-3281	57	7	variations	variation	NOUN
cana-3281	57	8	across	across	ADP
cana-3281	57	9	multiple	multiple	ADJ
cana-3281	57	10	layers	layer	NOUN
cana-3281	57	11	,	,	PUNCT
cana-3281	57	12	progressively	progressively	ADV
cana-3281	57	13	resolving	resolve	VERB
cana-3281	57	14	uncertainties	uncertainty	NOUN
cana-3281	57	15	.	.	PUNCT
cana-3281	58	1	this	this	DET
cana-3281	58	2	approach	approach	NOUN
cana-3281	58	3	enhances	enhance	VERB
cana-3281	58	4	image	image	NOUN
cana-3281	58	5	generation	generation	NOUN
cana-3281	58	6	quality	quality	NOUN
cana-3281	58	7	,	,	PUNCT
cana-3281	58	8	as	as	SCONJ
cana-3281	58	9	confirmed	confirm	VERB
cana-3281	58	10	by	by	ADP
cana-3281	58	11	visual	visual	ADJ
cana-3281	58	12	inspection	inspection	NOUN
cana-3281	58	13	,	,	PUNCT
cana-3281	58	14	inception	inception	NOUN
cana-3281	58	15	scores	score	NOUN
cana-3281	58	16	,	,	PUNCT
cana-3281	58	17	and	and	CCONJ
cana-3281	58	18	visual	visual	ADJ
cana-3281	58	19	turing	turing	NOUN
cana-3281	58	20	tests	test	NOUN
cana-3281	58	21	.	.	PUNCT
cana-3281	59	1	generating	generate	VERB
cana-3281	59	2	artificial	artificial	ADJ
cana-3281	59	3	images	image	NOUN
cana-3281	59	4	using	use	VERB
cana-3281	59	5	gans	gan	NOUN
cana-3281	59	6	typically	typically	ADV
cana-3281	59	7	requires	require	VERB
cana-3281	59	8	vast	vast	ADJ
cana-3281	59	9	amounts	amount	NOUN
cana-3281	59	10	of	of	ADP
cana-3281	59	11	data	datum	NOUN
cana-3281	59	12	and	and	CCONJ
cana-3281	59	13	specialized	specialized	ADJ
cana-3281	59	14	deep	deep	ADJ
cana-3281	59	15	learning	learning	NOUN
cana-3281	59	16	expertise	expertise	NOUN
cana-3281	59	17	.	.	PUNCT
cana-3281	60	1	however	however	ADV
cana-3281	60	2	,	,	PUNCT
cana-3281	60	3	sheng	sheng	PROPN
cana-3281	60	4	-	-	PUNCT
cana-3281	60	5	yu	yu	PROPN
cana-3281	60	6	wang	wang	PROPN
cana-3281	60	7	and	and	CCONJ
cana-3281	60	8	colleagues	colleague	NOUN
cana-3281	60	9	introduced	introduce	VERB
cana-3281	60	10	a	a	DET
cana-3281	60	11	technique	technique	NOUN
cana-3281	60	12	known	know	VERB
cana-3281	60	13	as	as	ADP
cana-3281	60	14	gan	gan	NOUN
cana-3281	60	15	sketching	sketching	NOUN
cana-3281	60	16	,	,	PUNCT
cana-3281	60	17	which	which	PRON
cana-3281	60	18	allows	allow	VERB
cana-3281	60	19	users	user	NOUN
cana-3281	60	20	to	to	PART
cana-3281	60	21	modify	modify	VERB
cana-3281	60	22	gan	gan	NOUN
cana-3281	60	23	models	model	NOUN
cana-3281	60	24	using	use	VERB
cana-3281	60	25	simple	simple	ADJ
cana-3281	60	26	sketches	sketch	NOUN
cana-3281	60	27	.	.	PUNCT
cana-3281	61	1	their	their	PRON
cana-3281	61	2	method	method	NOUN
cana-3281	61	3	aligns	align	VERB
cana-3281	61	4	the	the	DET
cana-3281	61	5	outputs	output	NOUN
cana-3281	61	6	of	of	ADP
cana-3281	61	7	gans	gan	NOUN
cana-3281	61	8	with	with	ADP
cana-3281	61	9	the	the	DET
cana-3281	61	10	input	input	NOUN
cana-3281	61	11	sketches	sketch	NOUN
cana-3281	61	12	through	through	ADP
cana-3281	61	13	cross	cross	ADJ
cana-3281	61	14	-	-	ADJ
cana-3281	61	15	domain	domain	ADJ
cana-3281	61	16	adversarial	adversarial	ADJ
cana-3281	61	17	loss	loss	NOUN
cana-3281	61	18	,	,	PUNCT
cana-3281	61	19	while	while	SCONJ
cana-3281	61	20	regularization	regularization	NOUN
cana-3281	61	21	ensures	ensure	VERB
cana-3281	61	22	output	output	NOUN
cana-3281	61	23	diversity	diversity	NOUN
cana-3281	61	24	.	.	PUNCT
cana-3281	62	1	this	this	DET
cana-3281	62	2	technique	technique	NOUN
cana-3281	62	3	significantly	significantly	ADV
cana-3281	62	4	reduces	reduce	VERB
cana-3281	62	5	user	user	NOUN
cana-3281	62	6	effort	effort	NOUN
cana-3281	62	7	while	while	SCONJ
cana-3281	62	8	enabling	enable	VERB
cana-3281	62	9	the	the	DET
cana-3281	62	10	adjustment	adjustment	NOUN
cana-3281	62	11	of	of	ADP
cana-3281	62	12	gan	gan	PROPN
cana-3281	62	13	outputs	output	NOUN
cana-3281	62	14	to	to	PART
cana-3281	62	15	fit	fit	VERB
cana-3281	62	16	specific	specific	ADJ
cana-3281	62	17	shapes	shape	NOUN
cana-3281	62	18	,	,	PUNCT
cana-3281	62	19	all	all	PRON
cana-3281	62	20	while	while	SCONJ
cana-3281	62	21	maintaining	maintain	VERB
cana-3281	62	22	a	a	DET
cana-3281	62	23	high	high	ADJ
cana-3281	62	24	level	level	NOUN
cana-3281	62	25	of	of	ADP
cana-3281	62	26	realism	realism	NOUN
cana-3281	62	27	.	.	PUNCT
cana-3281	63	1	applications	application	NOUN
cana-3281	63	2	of	of	ADP
cana-3281	63	3	this	this	DET
cana-3281	63	4	method	method	NOUN
cana-3281	63	5	include	include	VERB
cana-3281	63	6	latent	latent	ADJ
cana-3281	63	7	space	space	NOUN
cana-3281	63	8	interpolation	interpolation	NOUN
cana-3281	63	9	and	and	CCONJ
cana-3281	63	10	image	image	NOUN
cana-3281	63	11	editing	editing	NOUN
cana-3281	63	12	,	,	PUNCT
cana-3281	63	13	making	make	VERB
cana-3281	63	14	gan	gan	ADJ
cana-3281	63	15	technology	technology	NOUN
cana-3281	63	16	more	more	ADV
cana-3281	63	17	accessible	accessible	ADJ
cana-3281	63	18	to	to	ADP
cana-3281	63	19	a	a	DET
cana-3281	63	20	broader	broad	ADJ
cana-3281	63	21	range	range	NOUN
cana-3281	63	22	of	of	ADP
cana-3281	63	23	users	user	NOUN
cana-3281	63	24	,	,	PUNCT
cana-3281	63	25	not	not	PART
cana-3281	63	26	just	just	ADV
cana-3281	63	27	experts	expert	NOUN
cana-3281	63	28	[	[	X
cana-3281	63	29	4	4	NUM
cana-3281	63	30	]	]	PUNCT
cana-3281	63	31	.	.	PUNCT
cana-3281	64	1	ming	ming	PROPN
cana-3281	64	2	-	-	PUNCT
cana-3281	64	3	yu	yu	PROPN
cana-3281	64	4	liu	liu	PROPN
cana-3281	65	1	and	and	CCONJ
cana-3281	65	2	oncel	oncel	VERB
cana-3281	65	3	tuzel	tuzel	ADJ
cana-3281	65	4	developed	develop	VERB
cana-3281	65	5	cogan	cogan	NOUN
cana-3281	65	6	,	,	PUNCT
cana-3281	65	7	which	which	PRON
cana-3281	65	8	learns	learn	VERB
cana-3281	65	9	joint	joint	ADJ
cana-3281	65	10	distributions	distribution	NOUN
cana-3281	65	11	of	of	ADP
cana-3281	65	12	images	image	NOUN
cana-3281	65	13	from	from	ADP
cana-3281	65	14	different	different	ADJ
cana-3281	65	15	domains	domain	NOUN
cana-3281	65	16	without	without	ADP
cana-3281	65	17	needing	need	VERB
cana-3281	65	18	paired	pair	VERB
cana-3281	65	19	samples	sample	NOUN
cana-3281	65	20	.	.	PUNCT
cana-3281	66	1	cogan	cogan	NOUN
cana-3281	66	2	achieves	achieve	VERB
cana-3281	66	3	this	this	PRON
cana-3281	66	4	by	by	ADP
cana-3281	66	5	sharing	share	VERB
cana-3281	66	6	weights	weight	NOUN
cana-3281	66	7	,	,	PUNCT
cana-3281	66	8	allowing	allow	VERB
cana-3281	66	9	communications	communication	NOUN
cana-3281	66	10	on	on	ADP
cana-3281	66	11	applied	apply	VERB
cana-3281	66	12	nonlinear	nonlinear	ADJ
cana-3281	66	13	analysis	analysis	NOUN
cana-3281	66	14	issn	issn	NOUN
cana-3281	66	15	:	:	PUNCT
cana-3281	66	16	1074	1074	NUM
cana-3281	66	17	-	-	PUNCT
cana-3281	66	18	133x	133x	NUM
cana-3281	66	19	vol	vol	NOUN
cana-3281	66	20	32	32	NUM
cana-3281	66	21	no	no	NOUN
cana-3281	66	22	.	.	PUNCT
cana-3281	67	1	6s	6s	NUM
cana-3281	67	2	(	(	PUNCT
cana-3281	67	3	2025	2025	NUM
cana-3281	67	4	)	)	PUNCT
cana-3281	67	5	137	137	NUM
cana-3281	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	67	7	it	it	PRON
cana-3281	67	8	to	to	PART
cana-3281	67	9	understand	understand	VERB
cana-3281	67	10	joint	joint	ADJ
cana-3281	67	11	distributions	distribution	NOUN
cana-3281	67	12	from	from	ADP
cana-3281	67	13	samples	sample	NOUN
cana-3281	67	14	drawn	draw	VERB
cana-3281	67	15	independently	independently	ADV
cana-3281	67	16	from	from	ADP
cana-3281	67	17	marginal	marginal	ADJ
cana-3281	67	18	distributions	distribution	NOUN
cana-3281	67	19	.	.	PUNCT
cana-3281	68	1	it	it	PRON
cana-3281	68	2	effectively	effectively	ADV
cana-3281	68	3	handles	handle	VERB
cana-3281	68	4	tasks	task	NOUN
cana-3281	68	5	like	like	ADP
cana-3281	68	6	color	color	NOUN
cana-3281	68	7	and	and	CCONJ
cana-3281	68	8	depth	depth	NOUN
cana-3281	68	9	images	image	NOUN
cana-3281	68	10	,	,	PUNCT
cana-3281	68	11	facial	facial	ADJ
cana-3281	68	12	attributes	attribute	NOUN
cana-3281	68	13	,	,	PUNCT
cana-3281	68	14	and	and	CCONJ
cana-3281	68	15	enables	enable	VERB
cana-3281	68	16	domain	domain	NOUN
cana-3281	68	17	adaptation	adaptation	NOUN
cana-3281	68	18	and	and	CCONJ
cana-3281	68	19	image	image	NOUN
cana-3281	68	20	transformation	transformation	NOUN
cana-3281	69	1	[	[	X
cana-3281	69	2	5	5	NUM
cana-3281	69	3	]	]	PUNCT
cana-3281	69	4	.	.	PUNCT
cana-3281	70	1	bad	bad	ADJ
cana-3281	70	2	weather	weather	NOUN
cana-3281	70	3	conditions	condition	NOUN
cana-3281	70	4	,	,	PUNCT
cana-3281	70	5	such	such	ADJ
cana-3281	70	6	as	as	ADP
cana-3281	70	7	rain	rain	NOUN
cana-3281	70	8	and	and	CCONJ
cana-3281	70	9	snow	snow	NOUN
cana-3281	70	10	,	,	PUNCT
cana-3281	70	11	degrade	degrade	VERB
cana-3281	70	12	image	image	NOUN
cana-3281	70	13	quality	quality	NOUN
cana-3281	70	14	and	and	CCONJ
cana-3281	70	15	affect	affect	VERB
cana-3281	70	16	the	the	DET
cana-3281	70	17	performance	performance	NOUN
cana-3281	70	18	of	of	ADP
cana-3281	70	19	vision	vision	NOUN
cana-3281	70	20	systems	system	NOUN
cana-3281	70	21	.	.	PUNCT
cana-3281	71	1	he	he	PRON
cana-3281	71	2	zhang	zhang	PROPN
cana-3281	71	3	’s	’s	PART
cana-3281	71	4	id	id	ADJ
cana-3281	71	5	-	-	PUNCT
cana-3281	71	6	cgan	cgan	VERB
cana-3281	71	7	leverages	leverage	NOUN
cana-3281	71	8	a	a	DET
cana-3281	71	9	conditional	conditional	ADJ
cana-3281	71	10	generative	generative	ADJ
cana-3281	71	11	adversarial	adversarial	ADJ
cana-3281	71	12	network	network	NOUN
cana-3281	71	13	(	(	PUNCT
cana-3281	71	14	cgan	cgan	PROPN
cana-3281	71	15	)	)	PUNCT
cana-3281	71	16	to	to	PART
cana-3281	71	17	restore	restore	VERB
cana-3281	71	18	rain	rain	NOUN
cana-3281	71	19	-	-	PUNCT
cana-3281	71	20	damaged	damage	VERB
cana-3281	71	21	images	image	NOUN
cana-3281	71	22	,	,	PUNCT
cana-3281	71	23	making	make	VERB
cana-3281	71	24	them	they	PRON
cana-3281	71	25	closely	closely	ADV
cana-3281	71	26	resemble	resemble	VERB
cana-3281	71	27	clean	clean	ADJ
cana-3281	71	28	versions	version	NOUN
cana-3281	71	29	.	.	PUNCT
cana-3281	72	1	improvements	improvement	NOUN
cana-3281	72	2	include	include	VERB
cana-3281	72	3	a	a	DET
cana-3281	72	4	refined	refined	ADJ
cana-3281	72	5	loss	loss	NOUN
cana-3281	72	6	function	function	NOUN
cana-3281	72	7	and	and	CCONJ
cana-3281	72	8	an	an	DET
cana-3281	72	9	enhanced	enhanced	ADJ
cana-3281	72	10	generator	generator	NOUN
cana-3281	72	11	-	-	PUNCT
cana-3281	72	12	discriminator	discriminator	NOUN
cana-3281	72	13	model	model	NOUN
cana-3281	72	14	.	.	PUNCT
cana-3281	73	1	testing	test	VERB
cana-3281	73	2	on	on	ADP
cana-3281	73	3	both	both	CCONJ
cana-3281	73	4	synthetic	synthetic	ADJ
cana-3281	73	5	and	and	CCONJ
cana-3281	73	6	real	real	ADJ
cana-3281	73	7	-	-	PUNCT
cana-3281	73	8	world	world	NOUN
cana-3281	73	9	data	datum	NOUN
cana-3281	73	10	shows	show	VERB
cana-3281	73	11	id	id	ADJ
cana-3281	73	12	-	-	PUNCT
cana-3281	73	13	cgan	cgan	VERB
cana-3281	73	14	outperforms	outperform	NOUN
cana-3281	73	15	existing	exist	VERB
cana-3281	73	16	de	de	ADJ
cana-3281	73	17	-	-	ADJ
cana-3281	73	18	raining	raining	ADJ
cana-3281	73	19	methods	method	NOUN
cana-3281	73	20	,	,	PUNCT
cana-3281	73	21	also	also	ADV
cana-3281	73	22	improving	improve	VERB
cana-3281	73	23	object	object	NOUN
cana-3281	73	24	detection	detection	NOUN
cana-3281	73	25	in	in	ADP
cana-3281	73	26	rain	rain	NOUN
cana-3281	73	27	-	-	PUNCT
cana-3281	73	28	affected	affect	VERB
cana-3281	73	29	images	image	NOUN
cana-3281	73	30	[	[	X
cana-3281	73	31	6	6	NUM
cana-3281	73	32	]	]	PUNCT
cana-3281	73	33	.	.	PUNCT
cana-3281	74	1	guillermo	guillermo	PROPN
cana-3281	74	2	iglesias	iglesias	PROPN
cana-3281	74	3	,	,	PUNCT
cana-3281	74	4	edgar	edgar	PROPN
cana-3281	74	5	talavera	talavera	PROPN
cana-3281	74	6	,	,	PUNCT
cana-3281	74	7	and	and	CCONJ
cana-3281	74	8	their	their	PRON
cana-3281	74	9	team	team	NOUN
cana-3281	74	10	examined	examine	VERB
cana-3281	74	11	the	the	DET
cana-3281	74	12	latest	late	ADJ
cana-3281	74	13	developments	development	NOUN
cana-3281	74	14	in	in	ADP
cana-3281	74	15	generative	generative	ADJ
cana-3281	74	16	adversarial	adversarial	ADJ
cana-3281	74	17	networks	network	NOUN
cana-3281	74	18	(	(	PUNCT
cana-3281	74	19	gans	gan	NOUN
cana-3281	74	20	)	)	PUNCT
cana-3281	74	21	for	for	ADP
cana-3281	74	22	computer	computer	NOUN
cana-3281	74	23	vision	vision	NOUN
cana-3281	74	24	,	,	PUNCT
cana-3281	74	25	classifying	classify	VERB
cana-3281	74	26	different	different	ADJ
cana-3281	74	27	types	type	NOUN
cana-3281	74	28	of	of	ADP
cana-3281	74	29	gans	gan	NOUN
cana-3281	74	30	based	base	VERB
cana-3281	74	31	on	on	ADP
cana-3281	74	32	their	their	PRON
cana-3281	74	33	structure	structure	NOUN
cana-3281	74	34	and	and	CCONJ
cana-3281	74	35	the	the	DET
cana-3281	74	36	improvements	improvement	NOUN
cana-3281	74	37	they	they	PRON
cana-3281	74	38	bring	bring	VERB
cana-3281	74	39	.	.	PUNCT
cana-3281	75	1	the	the	DET
cana-3281	75	2	study	study	NOUN
cana-3281	75	3	highlights	highlight	VERB
cana-3281	75	4	how	how	SCONJ
cana-3281	75	5	each	each	DET
cana-3281	75	6	variant	variant	ADJ
cana-3281	75	7	addresses	address	VERB
cana-3281	75	8	specific	specific	ADJ
cana-3281	75	9	challenges	challenge	NOUN
cana-3281	75	10	in	in	ADP
cana-3281	75	11	image	image	NOUN
cana-3281	75	12	creation	creation	NOUN
cana-3281	75	13	and	and	CCONJ
cana-3281	75	14	discusses	discuss	VERB
cana-3281	75	15	the	the	DET
cana-3281	75	16	impact	impact	NOUN
cana-3281	75	17	of	of	ADP
cana-3281	75	18	gans	gan	NOUN
cana-3281	75	19	across	across	ADP
cana-3281	75	20	different	different	ADJ
cana-3281	75	21	applications	application	NOUN
cana-3281	75	22	.	.	PUNCT
cana-3281	76	1	it	it	PRON
cana-3281	76	2	also	also	ADV
cana-3281	76	3	compares	compare	VERB
cana-3281	76	4	various	various	ADJ
cana-3281	76	5	architectures	architecture	NOUN
cana-3281	76	6	,	,	PUNCT
cana-3281	76	7	providing	provide	VERB
cana-3281	76	8	insights	insight	NOUN
cana-3281	76	9	into	into	ADP
cana-3281	76	10	future	future	ADJ
cana-3281	76	11	research	research	NOUN
cana-3281	76	12	directions	direction	NOUN
cana-3281	76	13	in	in	ADP
cana-3281	76	14	gan	gan	ADJ
cana-3281	76	15	technology	technology	NOUN
cana-3281	76	16	[	[	X
cana-3281	76	17	7	7	NUM
cana-3281	76	18	]	]	PUNCT
cana-3281	76	19	.	.	PUNCT
cana-3281	77	1	gans	gan	NOUN
cana-3281	77	2	offer	offer	VERB
cana-3281	77	3	several	several	ADJ
cana-3281	77	4	advantages	advantage	NOUN
cana-3281	77	5	over	over	ADP
cana-3281	77	6	other	other	ADJ
cana-3281	77	7	generative	generative	ADJ
cana-3281	77	8	models	model	NOUN
cana-3281	77	9	.	.	PUNCT
cana-3281	78	1	they	they	PRON
cana-3281	78	2	bypass	bypass	VERB
cana-3281	78	3	the	the	DET
cana-3281	78	4	need	need	NOUN
cana-3281	78	5	to	to	PART
cana-3281	78	6	explicitly	explicitly	ADV
cana-3281	78	7	define	define	VERB
cana-3281	78	8	the	the	DET
cana-3281	78	9	probability	probability	NOUN
cana-3281	78	10	distribution	distribution	NOUN
cana-3281	78	11	of	of	ADP
cana-3281	78	12	the	the	DET
cana-3281	78	13	generator	generator	NOUN
cana-3281	78	14	model	model	NOUN
cana-3281	78	15	,	,	PUNCT
cana-3281	78	16	enable	enable	VERB
cana-3281	78	17	simultaneous	simultaneous	ADJ
cana-3281	78	18	sample	sample	NOUN
cana-3281	78	19	generation	generation	NOUN
cana-3281	78	20	,	,	PUNCT
cana-3281	78	21	and	and	CCONJ
cana-3281	78	22	avoid	avoid	VERB
cana-3281	78	23	biases	bias	NOUN
cana-3281	78	24	from	from	ADP
cana-3281	78	25	likelihood	likelihood	NOUN
cana-3281	78	26	approximation	approximation	NOUN
cana-3281	78	27	methods	method	NOUN
cana-3281	78	28	like	like	ADP
cana-3281	78	29	variational	variational	ADJ
cana-3281	78	30	autoencoders	autoencoder	NOUN
cana-3281	78	31	(	(	PUNCT
cana-3281	78	32	vaes	vaes	PROPN
cana-3281	78	33	)	)	PUNCT
cana-3281	79	1	[	[	X
cana-3281	79	2	8	8	NUM
cana-3281	79	3	]	]	PUNCT
cana-3281	79	4	.	.	PUNCT
cana-3281	80	1	jung	jung	PROPN
cana-3281	80	2	-	-	PUNCT
cana-3281	80	3	woo	woo	PROPN
cana-3281	80	4	ha	ha	INTJ
cana-3281	80	5	and	and	CCONJ
cana-3281	80	6	colleagues	colleague	NOUN
cana-3281	80	7	introduced	introduce	VERB
cana-3281	80	8	a	a	DET
cana-3281	80	9	method	method	NOUN
cana-3281	80	10	for	for	ADP
cana-3281	80	11	transforming	transform	VERB
cana-3281	80	12	images	image	NOUN
cana-3281	80	13	across	across	ADP
cana-3281	80	14	multiple	multiple	ADJ
cana-3281	80	15	styles	style	NOUN
cana-3281	80	16	using	use	VERB
cana-3281	80	17	a	a	DET
cana-3281	80	18	single	single	ADJ
cana-3281	80	19	gan	gan	NOUN
cana-3281	80	20	,	,	PUNCT
cana-3281	80	21	overcoming	overcome	VERB
cana-3281	80	22	the	the	DET
cana-3281	80	23	limitations	limitation	NOUN
cana-3281	80	24	of	of	ADP
cana-3281	80	25	earlier	early	ADJ
cana-3281	80	26	approaches	approach	NOUN
cana-3281	80	27	,	,	PUNCT
cana-3281	80	28	which	which	PRON
cana-3281	80	29	could	could	AUX
cana-3281	80	30	only	only	ADV
cana-3281	80	31	handle	handle	VERB
cana-3281	80	32	two	two	NUM
cana-3281	80	33	styles	style	NOUN
cana-3281	80	34	and	and	CCONJ
cana-3281	80	35	required	require	VERB
cana-3281	80	36	separate	separate	ADJ
cana-3281	80	37	models	model	NOUN
cana-3281	80	38	for	for	ADP
cana-3281	80	39	each	each	DET
cana-3281	80	40	style	style	NOUN
cana-3281	80	41	pair	pair	NOUN
cana-3281	80	42	.	.	PUNCT
cana-3281	81	1	however	however	ADV
cana-3281	81	2	,	,	PUNCT
cana-3281	81	3	gans	gan	NOUN
cana-3281	81	4	still	still	ADV
cana-3281	81	5	face	face	VERB
cana-3281	81	6	challenges	challenge	NOUN
cana-3281	81	7	like	like	ADP
cana-3281	81	8	unstable	unstable	ADJ
cana-3281	81	9	training	training	NOUN
cana-3281	81	10	and	and	CCONJ
cana-3281	81	11	mode	mode	NOUN
cana-3281	81	12	collapse	collapse	NOUN
cana-3281	81	13	,	,	PUNCT
cana-3281	81	14	limiting	limit	VERB
cana-3281	81	15	their	their	PRON
cana-3281	81	16	ability	ability	NOUN
cana-3281	81	17	to	to	PART
cana-3281	81	18	capture	capture	VERB
cana-3281	81	19	diverse	diverse	ADJ
cana-3281	81	20	realworld	realworld	PROPN
cana-3281	81	21	data	datum	NOUN
cana-3281	81	22	distributions	distribution	NOUN
cana-3281	81	23	[	[	X
cana-3281	81	24	9	9	NUM
cana-3281	81	25	]	]	PUNCT
cana-3281	81	26	.	.	PUNCT
cana-3281	82	1	cartoongan	cartoongan	PROPN
cana-3281	82	2	transforms	transform	VERB
cana-3281	82	3	real	real	ADJ
cana-3281	82	4	images	image	NOUN
cana-3281	82	5	into	into	ADP
cana-3281	82	6	visually	visually	ADV
cana-3281	82	7	appealing	appealing	ADJ
cana-3281	82	8	cartoons	cartoon	NOUN
cana-3281	82	9	,	,	PUNCT
cana-3281	82	10	addressing	address	VERB
cana-3281	82	11	the	the	DET
cana-3281	82	12	unique	unique	ADJ
cana-3281	82	13	challenges	challenge	NOUN
cana-3281	82	14	of	of	ADP
cana-3281	82	15	cartoon	cartoon	NOUN
cana-3281	82	16	characteristics	characteristic	NOUN
cana-3281	82	17	,	,	PUNCT
cana-3281	82	18	such	such	ADJ
cana-3281	82	19	as	as	ADP
cana-3281	82	20	edge	edge	NOUN
cana-3281	82	21	sharpness	sharpness	NOUN
cana-3281	82	22	and	and	CCONJ
cana-3281	82	23	shading	shading	NOUN
cana-3281	82	24	.	.	PUNCT
cana-3281	83	1	yu	yu	PROPN
cana-3281	83	2	-	-	PUNCT
cana-3281	83	3	kun	kun	PROPN
cana-3281	83	4	lai	lai	PROPN
cana-3281	83	5	’s	’s	PART
cana-3281	83	6	team	team	NOUN
cana-3281	83	7	introduced	introduce	VERB
cana-3281	83	8	two	two	NUM
cana-3281	83	9	innovative	innovative	ADJ
cana-3281	83	10	losses	loss	NOUN
cana-3281	83	11	:	:	PUNCT
cana-3281	83	12	semantic	semantic	ADJ
cana-3281	83	13	content	content	NOUN
cana-3281	83	14	loss	loss	NOUN
cana-3281	83	15	for	for	ADP
cana-3281	83	16	managing	manage	VERB
cana-3281	83	17	style	style	NOUN
cana-3281	83	18	variations	variation	NOUN
cana-3281	83	19	and	and	CCONJ
cana-3281	83	20	edgepreserving	edgepreserving	ADJ
cana-3281	83	21	adversarial	adversarial	ADJ
cana-3281	83	22	loss	loss	NOUN
cana-3281	83	23	to	to	PART
cana-3281	83	24	enhance	enhance	VERB
cana-3281	83	25	edge	edge	NOUN
cana-3281	83	26	clarity	clarity	NOUN
cana-3281	83	27	.	.	PUNCT
cana-3281	84	1	this	this	DET
cana-3281	84	2	method	method	NOUN
cana-3281	84	3	represents	represent	VERB
cana-3281	84	4	a	a	DET
cana-3281	84	5	significant	significant	ADJ
cana-3281	84	6	advancement	advancement	NOUN
cana-3281	84	7	in	in	ADP
cana-3281	84	8	the	the	DET
cana-3281	84	9	application	application	NOUN
cana-3281	84	10	of	of	ADP
cana-3281	84	11	gans	gan	NOUN
cana-3281	84	12	[	[	X
cana-3281	84	13	10	10	NUM
cana-3281	84	14	]	]	PUNCT
cana-3281	84	15	.	.	PUNCT
cana-3281	85	1	conditional	conditional	ADJ
cana-3281	85	2	gans	gan	NOUN
cana-3281	85	3	,	,	PUNCT
cana-3281	85	4	introduced	introduce	VERB
cana-3281	85	5	by	by	ADP
cana-3281	85	6	isola	isola	PROPN
cana-3281	85	7	and	and	CCONJ
cana-3281	85	8	colleagues	colleague	NOUN
cana-3281	85	9	in	in	ADP
cana-3281	85	10	2016	2016	NUM
cana-3281	85	11	,	,	PUNCT
cana-3281	85	12	translate	translate	ADJ
cana-3281	85	13	sketches	sketch	NOUN
cana-3281	85	14	into	into	ADP
cana-3281	85	15	photorealistic	photorealistic	ADJ
cana-3281	85	16	images	image	NOUN
cana-3281	85	17	.	.	PUNCT
cana-3281	86	1	the	the	DET
cana-3281	86	2	generator	generator	NOUN
cana-3281	86	3	converts	convert	VERB
cana-3281	86	4	sketches	sketch	NOUN
cana-3281	86	5	into	into	ADP
cana-3281	86	6	realistic	realistic	ADJ
cana-3281	86	7	pictures	picture	NOUN
cana-3281	86	8	,	,	PUNCT
cana-3281	86	9	while	while	SCONJ
cana-3281	86	10	the	the	DET
cana-3281	86	11	discriminator	discriminator	NOUN
cana-3281	86	12	differentiates	differentiate	VERB
cana-3281	86	13	between	between	ADP
cana-3281	86	14	real	real	ADJ
cana-3281	86	15	and	and	CCONJ
cana-3281	86	16	generated	generate	VERB
cana-3281	86	17	images	image	NOUN
cana-3281	86	18	.	.	PUNCT
cana-3281	87	1	this	this	DET
cana-3281	87	2	approach	approach	NOUN
cana-3281	87	3	has	have	AUX
cana-3281	87	4	proven	prove	VERB
cana-3281	87	5	effective	effective	ADJ
cana-3281	87	6	in	in	ADP
cana-3281	87	7	converting	convert	VERB
cana-3281	87	8	hand	hand	NOUN
cana-3281	87	9	-	-	PUNCT
cana-3281	87	10	drawn	draw	VERB
cana-3281	87	11	sketches	sketch	NOUN
cana-3281	87	12	into	into	ADP
cana-3281	87	13	lifelike	lifelike	ADJ
cana-3281	87	14	images	image	NOUN
cana-3281	87	15	[	[	X
cana-3281	87	16	11	11	NUM
cana-3281	87	17	]	]	PUNCT
cana-3281	87	18	.	.	PUNCT
cana-3281	88	1	in	in	ADP
cana-3281	88	2	2017	2017	NUM
cana-3281	88	3	,	,	PUNCT
cana-3281	88	4	liu	liu	PROPN
cana-3281	88	5	and	and	CCONJ
cana-3281	88	6	colleagues	colleague	NOUN
cana-3281	88	7	proposed	propose	VERB
cana-3281	88	8	a	a	DET
cana-3281	88	9	method	method	NOUN
cana-3281	88	10	to	to	PART
cana-3281	88	11	generate	generate	VERB
cana-3281	88	12	realistic	realistic	ADJ
cana-3281	88	13	facial	facial	ADJ
cana-3281	88	14	images	image	NOUN
cana-3281	88	15	from	from	ADP
cana-3281	88	16	sketches	sketch	NOUN
cana-3281	88	17	using	use	VERB
cana-3281	88	18	a	a	DET
cana-3281	88	19	multi	multi	ADJ
cana-3281	88	20	-	-	ADJ
cana-3281	88	21	scale	scale	ADJ
cana-3281	88	22	design	design	NOUN
cana-3281	88	23	that	that	PRON
cana-3281	88	24	progressively	progressively	ADV
cana-3281	88	25	refines	refine	VERB
cana-3281	88	26	the	the	DET
cana-3281	88	27	image	image	NOUN
cana-3281	88	28	,	,	PUNCT
cana-3281	88	29	incorporating	incorporate	VERB
cana-3281	88	30	sketch	sketch	ADJ
cana-3281	88	31	details	detail	NOUN
cana-3281	88	32	to	to	PART
cana-3281	88	33	accurately	accurately	ADV
cana-3281	88	34	capture	capture	VERB
cana-3281	88	35	facial	facial	ADJ
cana-3281	88	36	features	feature	NOUN
cana-3281	88	37	and	and	CCONJ
cana-3281	88	38	textures	texture	NOUN
cana-3281	88	39	[	[	X
cana-3281	88	40	12	12	NUM
cana-3281	88	41	]	]	PUNCT
cana-3281	88	42	.	.	PUNCT
cana-3281	89	1	ren	ren	PROPN
cana-3281	89	2	et	et	PROPN
cana-3281	89	3	al	al	PROPN
cana-3281	89	4	.	.	PROPN
cana-3281	89	5	’s	’s	PART
cana-3281	89	6	2018	2018	NUM
cana-3281	89	7	work	work	NOUN
cana-3281	89	8	,	,	PUNCT
cana-3281	89	9	although	although	SCONJ
cana-3281	89	10	not	not	PART
cana-3281	89	11	directly	directly	ADV
cana-3281	89	12	related	relate	VERB
cana-3281	89	13	to	to	ADP
cana-3281	89	14	sketch	sketch	VERB
cana-3281	89	15	-	-	PUNCT
cana-3281	89	16	to	to	ADP
cana-3281	89	17	image	image	NOUN
cana-3281	89	18	generation	generation	NOUN
cana-3281	89	19	,	,	PUNCT
cana-3281	89	20	provides	provide	VERB
cana-3281	89	21	useful	useful	ADJ
cana-3281	89	22	insights	insight	NOUN
cana-3281	89	23	into	into	ADP
cana-3281	89	24	noise	noise	NOUN
cana-3281	89	25	reduction	reduction	NOUN
cana-3281	89	26	and	and	CCONJ
cana-3281	89	27	detail	detail	NOUN
cana-3281	89	28	preservation	preservation	NOUN
cana-3281	89	29	in	in	ADP
cana-3281	89	30	image	image	NOUN
cana-3281	89	31	generation	generation	NOUN
cana-3281	89	32	.	.	PUNCT
cana-3281	90	1	their	their	PRON
cana-3281	90	2	deep	deep	ADJ
cana-3281	90	3	image	image	NOUN
cana-3281	90	4	prior	prior	ADJ
cana-3281	90	5	network	network	NOUN
cana-3281	90	6	removes	remove	VERB
cana-3281	90	7	haze	haze	NOUN
cana-3281	90	8	from	from	ADP
cana-3281	90	9	images	image	NOUN
cana-3281	90	10	and	and	CCONJ
cana-3281	90	11	could	could	AUX
cana-3281	90	12	be	be	AUX
cana-3281	90	13	applied	apply	VERB
cana-3281	90	14	to	to	ADP
cana-3281	90	15	sketch	sketch	VERB
cana-3281	90	16	-	-	PUNCT
cana-3281	90	17	to	to	ADP
cana-3281	90	18	-	-	PUNCT
cana-3281	90	19	image	image	NOUN
cana-3281	90	20	frameworks	framework	NOUN
cana-3281	90	21	to	to	PART
cana-3281	90	22	handle	handle	VERB
cana-3281	90	23	noise	noise	NOUN
cana-3281	90	24	and	and	CCONJ
cana-3281	90	25	inconsistencies	inconsistency	NOUN
cana-3281	90	26	in	in	ADP
cana-3281	90	27	user	user	NOUN
cana-3281	90	28	-	-	PUNCT
cana-3281	90	29	drawn	draw	VERB
cana-3281	90	30	sketches	sketch	NOUN
cana-3281	90	31	,	,	PUNCT
cana-3281	90	32	producing	produce	VERB
cana-3281	90	33	cleaner	clean	ADJ
cana-3281	90	34	results	result	NOUN
cana-3281	90	35	[	[	X
cana-3281	90	36	13	13	NUM
cana-3281	90	37	]	]	PUNCT
cana-3281	90	38	.	.	PUNCT
cana-3281	91	1	inspired	inspire	VERB
cana-3281	91	2	by	by	ADP
cana-3281	91	3	the	the	DET
cana-3281	91	4	success	success	NOUN
cana-3281	91	5	of	of	ADP
cana-3281	91	6	gans	gan	NOUN
cana-3281	91	7	in	in	ADP
cana-3281	91	8	image	image	NOUN
cana-3281	91	9	translation	translation	NOUN
cana-3281	91	10	,	,	PUNCT
cana-3281	91	11	xing	xing	PROPN
cana-3281	91	12	et	et	PROPN
cana-3281	91	13	al	al	PROPN
cana-3281	91	14	.	.	PROPN
cana-3281	91	15	introduced	introduce	VERB
cana-3281	91	16	scgan	scgan	VERB
cana-3281	91	17	in	in	ADP
cana-3281	91	18	2019	2019	NUM
cana-3281	91	19	,	,	PUNCT
cana-3281	91	20	a	a	DET
cana-3281	91	21	framework	framework	NOUN
cana-3281	91	22	for	for	ADP
cana-3281	91	23	generating	generate	VERB
cana-3281	91	24	cartoon	cartoon	NOUN
cana-3281	91	25	images	image	NOUN
cana-3281	91	26	from	from	ADP
cana-3281	91	27	sketches	sketch	NOUN
cana-3281	91	28	.	.	PUNCT
cana-3281	92	1	this	this	DET
cana-3281	92	2	conditional	conditional	ADJ
cana-3281	92	3	gan	gan	PROPN
cana-3281	92	4	allows	allow	VERB
cana-3281	92	5	for	for	ADP
cana-3281	92	6	generating	generate	VERB
cana-3281	92	7	cartoons	cartoon	NOUN
cana-3281	92	8	that	that	PRON
cana-3281	92	9	match	match	VERB
cana-3281	92	10	the	the	DET
cana-3281	92	11	content	content	NOUN
cana-3281	92	12	and	and	CCONJ
cana-3281	92	13	structure	structure	NOUN
cana-3281	92	14	of	of	ADP
cana-3281	92	15	the	the	DET
cana-3281	92	16	original	original	ADJ
cana-3281	92	17	sketch	sketch	NOUN
cana-3281	92	18	[	[	X
cana-3281	92	19	14	14	NUM
cana-3281	92	20	]	]	PUNCT
cana-3281	92	21	.	.	PUNCT
cana-3281	93	1	communications	communication	NOUN
cana-3281	93	2	on	on	ADP
cana-3281	93	3	applied	apply	VERB
cana-3281	93	4	nonlinear	nonlinear	ADJ
cana-3281	93	5	analysis	analysis	NOUN
cana-3281	93	6	issn	issn	NOUN
cana-3281	93	7	:	:	PUNCT
cana-3281	93	8	1074	1074	NUM
cana-3281	93	9	-	-	PUNCT
cana-3281	93	10	133x	133x	NUM
cana-3281	93	11	vol	vol	NOUN
cana-3281	93	12	32	32	NUM
cana-3281	93	13	no	no	NOUN
cana-3281	93	14	.	.	PUNCT
cana-3281	94	1	6s	6s	NUM
cana-3281	94	2	(	(	PUNCT
cana-3281	94	3	2025	2025	NUM
cana-3281	94	4	)	)	PUNCT
cana-3281	94	5	138	138	NUM
cana-3281	95	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	95	2	liu	liu	PROPN
cana-3281	95	3	et	et	PROPN
cana-3281	95	4	al	al	PROPN
cana-3281	95	5	.	.	PROPN
cana-3281	95	6	developed	develop	VERB
cana-3281	95	7	a	a	DET
cana-3281	95	8	sketch	sketch	NOUN
cana-3281	95	9	-	-	PUNCT
cana-3281	95	10	to	to	ADP
cana-3281	95	11	-	-	PUNCT
cana-3281	95	12	image	image	NOUN
cana-3281	95	13	generation	generation	NOUN
cana-3281	95	14	method	method	NOUN
cana-3281	95	15	that	that	PRON
cana-3281	95	16	aligns	align	VERB
cana-3281	95	17	discriminative	discriminative	NOUN
cana-3281	95	18	features	feature	NOUN
cana-3281	95	19	between	between	ADP
cana-3281	95	20	sketches	sketch	NOUN
cana-3281	95	21	and	and	CCONJ
cana-3281	95	22	target	target	VERB
cana-3281	95	23	images	image	NOUN
cana-3281	95	24	using	use	VERB
cana-3281	95	25	a	a	DET
cana-3281	95	26	feature	feature	NOUN
cana-3281	95	27	matching	match	VERB
cana-3281	95	28	loss	loss	NOUN
cana-3281	95	29	function	function	NOUN
cana-3281	95	30	.	.	PUNCT
cana-3281	96	1	this	this	PRON
cana-3281	96	2	ensures	ensure	VERB
cana-3281	96	3	the	the	DET
cana-3281	96	4	generated	generate	VERB
cana-3281	96	5	image	image	NOUN
cana-3281	96	6	stays	stay	VERB
cana-3281	96	7	true	true	ADJ
cana-3281	96	8	to	to	ADP
cana-3281	96	9	the	the	DET
cana-3281	96	10	user	user	NOUN
cana-3281	96	11	’s	’s	PART
cana-3281	96	12	intent	intent	NOUN
cana-3281	96	13	as	as	SCONJ
cana-3281	96	14	visualized	visualize	VERB
cana-3281	96	15	in	in	ADP
cana-3281	96	16	the	the	DET
cana-3281	96	17	sketch	sketch	NOUN
cana-3281	97	1	[	[	X
cana-3281	97	2	15	15	NUM
cana-3281	97	3	]	]	PUNCT
cana-3281	97	4	.	.	PUNCT
cana-3281	98	1	in	in	ADP
cana-3281	98	2	2020	2020	NUM
cana-3281	98	3	,	,	PUNCT
cana-3281	98	4	yu	yu	PROPN
cana-3281	98	5	et	et	PROPN
cana-3281	98	6	al	al	PROPN
cana-3281	98	7	.	.	PROPN
cana-3281	98	8	introduced	introduce	VERB
cana-3281	98	9	an	an	DET
cana-3281	98	10	attention	attention	NOUN
cana-3281	98	11	mechanism	mechanism	NOUN
cana-3281	98	12	for	for	ADP
cana-3281	98	13	sketch	sketch	ADJ
cana-3281	98	14	to	to	ADP
cana-3281	98	15	-	-	PUNCT
cana-3281	98	16	image	image	NOUN
cana-3281	98	17	generation	generation	NOUN
cana-3281	98	18	.	.	PUNCT
cana-3281	99	1	their	their	PRON
cana-3281	99	2	model	model	NOUN
cana-3281	99	3	uses	use	VERB
cana-3281	99	4	edge	edge	VERB
cana-3281	99	5	attention	attention	NOUN
cana-3281	99	6	to	to	PART
cana-3281	99	7	focus	focus	VERB
cana-3281	99	8	on	on	ADP
cana-3281	99	9	prominent	prominent	ADJ
cana-3281	99	10	edges	edge	NOUN
cana-3281	99	11	and	and	CCONJ
cana-3281	99	12	strokes	stroke	NOUN
cana-3281	99	13	in	in	ADP
cana-3281	99	14	the	the	DET
cana-3281	99	15	sketch	sketch	NOUN
cana-3281	99	16	and	and	CCONJ
cana-3281	99	17	employs	employ	VERB
cana-3281	99	18	gated	gate	VERB
cana-3281	99	19	convolutions	convolution	NOUN
cana-3281	99	20	to	to	PART
cana-3281	99	21	selectively	selectively	ADV
cana-3281	99	22	control	control	VERB
cana-3281	99	23	the	the	DET
cana-3281	99	24	flow	flow	NOUN
cana-3281	99	25	of	of	ADP
cana-3281	99	26	information	information	NOUN
cana-3281	99	27	[	[	X
cana-3281	99	28	16	16	NUM
cana-3281	99	29	]	]	PUNCT
cana-3281	99	30	.	.	PUNCT
cana-3281	100	1	the	the	DET
cana-3281	100	2	model	model	NOUN
cana-3281	100	3	is	be	AUX
cana-3281	100	4	designed	design	VERB
cana-3281	100	5	to	to	PART
cana-3281	100	6	generate	generate	VERB
cana-3281	100	7	details	detail	NOUN
cana-3281	100	8	and	and	CCONJ
cana-3281	100	9	textures	texture	NOUN
cana-3281	100	10	in	in	ADP
cana-3281	100	11	the	the	DET
cana-3281	100	12	output	output	NOUN
cana-3281	100	13	image	image	NOUN
cana-3281	100	14	according	accord	VERB
cana-3281	100	15	to	to	ADP
cana-3281	100	16	the	the	DET
cana-3281	100	17	sketch	sketch	ADJ
cana-3281	100	18	content	content	NOUN
cana-3281	100	19	effectively	effectively	ADV
cana-3281	100	20	.	.	PUNCT
cana-3281	101	1	huang	huang	PROPN
cana-3281	101	2	et	et	PROPN
cana-3281	101	3	al	al	PROPN
cana-3281	101	4	.	.	PROPN
cana-3281	101	5	(	(	PUNCT
cana-3281	101	6	2021	2021	NUM
cana-3281	101	7	)	)	PUNCT
cana-3281	101	8	build	build	VERB
cana-3281	101	9	upon	upon	SCONJ
cana-3281	101	10	the	the	DET
cana-3281	101	11	concept	concept	NOUN
cana-3281	101	12	of	of	ADP
cana-3281	101	13	hierarchical	hierarchical	ADJ
cana-3281	101	14	progressive	progressive	ADJ
cana-3281	101	15	growing	growing	NOUN
cana-3281	101	16	of	of	ADP
cana-3281	101	17	gans	gan	NOUN
cana-3281	101	18	introduced	introduce	VERB
cana-3281	101	19	by	by	ADP
cana-3281	101	20	karras	karras	PROPN
cana-3281	101	21	et	et	PROPN
cana-3281	101	22	al	al	PROPN
cana-3281	101	23	.	.	PROPN
cana-3281	101	24	in	in	ADP
cana-3281	101	25	2018	2018	NUM
cana-3281	102	1	[	[	X
cana-3281	102	2	17	17	NUM
cana-3281	102	3	]	]	PUNCT
cana-3281	102	4	.	.	PUNCT
cana-3281	103	1	their	their	PRON
cana-3281	103	2	approach	approach	NOUN
cana-3281	103	3	for	for	ADP
cana-3281	103	4	sketch	sketch	NOUN
cana-3281	103	5	-	-	PUNCT
cana-3281	103	6	to	to	ADP
cana-3281	103	7	-	-	PUNCT
cana-3281	103	8	image	image	NOUN
cana-3281	103	9	generation	generation	NOUN
cana-3281	103	10	involves	involves	AUX
cana-3281	103	11	progressively	progressively	ADV
cana-3281	103	12	increasing	increase	VERB
cana-3281	103	13	the	the	DET
cana-3281	103	14	resolution	resolution	NOUN
cana-3281	103	15	of	of	ADP
cana-3281	103	16	the	the	DET
cana-3281	103	17	generated	generate	VERB
cana-3281	103	18	image	image	NOUN
cana-3281	103	19	while	while	SCONJ
cana-3281	103	20	incorporating	incorporate	VERB
cana-3281	103	21	sketch	sketch	NOUN
cana-3281	103	22	guidance	guidance	NOUN
cana-3281	103	23	at	at	ADP
cana-3281	103	24	each	each	DET
cana-3281	103	25	stage	stage	NOUN
cana-3281	103	26	.	.	PUNCT
cana-3281	104	1	this	this	PRON
cana-3281	104	2	allows	allow	VERB
cana-3281	104	3	the	the	DET
cana-3281	104	4	model	model	NOUN
cana-3281	104	5	to	to	PART
cana-3281	104	6	capture	capture	VERB
cana-3281	104	7	both	both	CCONJ
cana-3281	104	8	high	high	ADJ
cana-3281	104	9	-	-	PUNCT
cana-3281	104	10	level	level	NOUN
cana-3281	104	11	structures	structure	NOUN
cana-3281	104	12	and	and	CCONJ
cana-3281	104	13	intricate	intricate	ADJ
cana-3281	104	14	details	detail	NOUN
cana-3281	104	15	based	base	VERB
cana-3281	104	16	on	on	ADP
cana-3281	104	17	the	the	DET
cana-3281	104	18	input	input	NOUN
cana-3281	104	19	sketch	sketch	NOUN
cana-3281	104	20	.	.	PUNCT
cana-3281	105	1	in	in	ADP
cana-3281	105	2	another	another	DET
cana-3281	105	3	method	method	NOUN
cana-3281	105	4	proposed	propose	VERB
cana-3281	105	5	by	by	ADP
cana-3281	105	6	liu	liu	PROPN
cana-3281	105	7	et	et	PROPN
cana-3281	105	8	al	al	PROPN
cana-3281	105	9	.	.	PROPN
cana-3281	106	1	in	in	ADP
cana-3281	106	2	2021	2021	NUM
cana-3281	106	3	,	,	PUNCT
cana-3281	106	4	the	the	DET
cana-3281	106	5	focus	focus	NOUN
cana-3281	106	6	is	be	AUX
cana-3281	106	7	on	on	ADP
cana-3281	106	8	sketch	sketch	NOUN
cana-3281	106	9	-	-	PUNCT
cana-3281	106	10	to	to	ADP
cana-3281	106	11	-	-	PUNCT
cana-3281	106	12	image	image	NOUN
cana-3281	106	13	generation	generation	NOUN
cana-3281	106	14	through	through	ADP
cana-3281	106	15	the	the	DET
cana-3281	106	16	learning	learning	NOUN
cana-3281	106	17	of	of	ADP
cana-3281	106	18	image	image	NOUN
cana-3281	106	19	priors	prior	NOUN
cana-3281	106	20	and	and	CCONJ
cana-3281	106	21	sketch	sketch	ADJ
cana-3281	106	22	encodings	encoding	NOUN
cana-3281	106	23	[	[	X
cana-3281	106	24	19	19	NUM
cana-3281	106	25	]	]	PUNCT
cana-3281	106	26	.	.	PUNCT
cana-3281	107	1	this	this	DET
cana-3281	107	2	model	model	NOUN
cana-3281	107	3	learns	learn	VERB
cana-3281	107	4	a	a	DET
cana-3281	107	5	prior	prior	ADJ
cana-3281	107	6	distribution	distribution	NOUN
cana-3281	107	7	of	of	ADP
cana-3281	107	8	natural	natural	ADJ
cana-3281	107	9	images	image	NOUN
cana-3281	107	10	and	and	CCONJ
cana-3281	107	11	encodes	encode	NOUN
cana-3281	107	12	critical	critical	ADJ
cana-3281	107	13	details	detail	NOUN
cana-3281	107	14	according	accord	VERB
cana-3281	107	15	to	to	ADP
cana-3281	107	16	the	the	DET
cana-3281	107	17	sketch	sketch	ADJ
cana-3281	107	18	information	information	NOUN
cana-3281	107	19	,	,	PUNCT
cana-3281	107	20	enabling	enable	VERB
cana-3281	107	21	it	it	PRON
cana-3281	107	22	to	to	PART
cana-3281	107	23	generate	generate	VERB
cana-3281	107	24	realistic	realistic	ADJ
cana-3281	107	25	and	and	CCONJ
cana-3281	107	26	diverse	diverse	ADJ
cana-3281	107	27	images	image	NOUN
cana-3281	107	28	that	that	PRON
cana-3281	107	29	remain	remain	VERB
cana-3281	107	30	faithful	faithful	ADJ
cana-3281	107	31	to	to	ADP
cana-3281	107	32	the	the	DET
cana-3281	107	33	user	user	NOUN
cana-3281	107	34	’s	’s	PART
cana-3281	107	35	sketch	sketch	NOUN
cana-3281	107	36	.	.	PUNCT
cana-3281	108	1	wang	wang	PROPN
cana-3281	108	2	et	et	PROPN
cana-3281	108	3	al	al	PROPN
cana-3281	108	4	.	.	PROPN
cana-3281	108	5	(	(	PUNCT
cana-3281	108	6	2021	2021	NUM
cana-3281	108	7	)	)	PUNCT
cana-3281	108	8	introduced	introduce	VERB
cana-3281	108	9	a	a	DET
cana-3281	108	10	study	study	NOUN
cana-3281	108	11	that	that	PRON
cana-3281	108	12	emphasizes	emphasize	VERB
cana-3281	108	13	semantic	semantic	ADJ
cana-3281	108	14	consistency	consistency	NOUN
cana-3281	108	15	in	in	ADP
cana-3281	108	16	sketch	sketch	NOUN
cana-3281	108	17	-	-	PUNCT
cana-3281	108	18	to	to	ADP
cana-3281	108	19	-	-	PUNCT
cana-3281	108	20	image	image	NOUN
cana-3281	108	21	generation	generation	NOUN
cana-3281	108	22	[	[	X
cana-3281	108	23	20	20	NUM
cana-3281	108	24	]	]	PUNCT
cana-3281	108	25	.	.	PUNCT
cana-3281	109	1	their	their	PRON
cana-3281	109	2	method	method	NOUN
cana-3281	109	3	utilizes	utilize	VERB
cana-3281	109	4	an	an	DET
cana-3281	109	5	attention	attention	NOUN
cana-3281	109	6	mechanism	mechanism	NOUN
cana-3281	109	7	to	to	PART
cana-3281	109	8	guide	guide	VERB
cana-3281	109	9	the	the	DET
cana-3281	109	10	generation	generation	NOUN
cana-3281	109	11	process	process	NOUN
cana-3281	109	12	based	base	VERB
cana-3281	109	13	on	on	ADP
cana-3281	109	14	the	the	DET
cana-3281	109	15	semantic	semantic	ADJ
cana-3281	109	16	image	image	NOUN
cana-3281	109	17	accurately	accurately	ADV
cana-3281	109	18	reflects	reflect	VERB
cana-3281	109	19	the	the	DET
cana-3281	109	20	intended	intended	ADJ
cana-3281	109	21	meaning	meaning	NOUN
cana-3281	109	22	and	and	CCONJ
cana-3281	109	23	object	object	NOUN
cana-3281	109	24	categories	category	NOUN
cana-3281	109	25	represented	represent	VERB
cana-3281	109	26	in	in	ADP
cana-3281	109	27	the	the	DET
cana-3281	109	28	sketch	sketch	NOUN
cana-3281	110	1	[	[	X
cana-3281	110	2	20	20	NUM
cana-3281	110	3	]	]	PUNCT
cana-3281	110	4	.	.	PUNCT
cana-3281	110	5	iii	iii	X
cana-3281	110	6	.	.	PUNCT
cana-3281	110	7	methodology	methodology	NOUN
cana-3281	110	8	this	this	DET
cana-3281	110	9	section	section	NOUN
cana-3281	110	10	provides	provide	VERB
cana-3281	110	11	an	an	DET
cana-3281	110	12	in	in	ADP
cana-3281	110	13	-	-	PUNCT
cana-3281	110	14	depth	depth	NOUN
cana-3281	110	15	overview	overview	NOUN
cana-3281	110	16	of	of	ADP
cana-3281	110	17	the	the	DET
cana-3281	110	18	methodology	methodology	NOUN
cana-3281	110	19	used	use	VERB
cana-3281	110	20	in	in	ADP
cana-3281	110	21	designing	design	VERB
cana-3281	110	22	a	a	DET
cana-3281	110	23	sophisticated	sophisticated	ADJ
cana-3281	110	24	,	,	PUNCT
cana-3281	110	25	multi	multi	ADJ
cana-3281	110	26	-	-	ADJ
cana-3281	110	27	stage	stage	ADJ
cana-3281	110	28	generative	generative	ADJ
cana-3281	110	29	adversarial	adversarial	ADJ
cana-3281	110	30	network	network	NOUN
cana-3281	110	31	(	(	PUNCT
cana-3281	110	32	gan	gan	NOUN
cana-3281	110	33	)	)	PUNCT
cana-3281	110	34	system	system	NOUN
cana-3281	110	35	for	for	ADP
cana-3281	110	36	transforming	transform	VERB
cana-3281	110	37	basic	basic	ADJ
cana-3281	110	38	sketches	sketch	NOUN
cana-3281	110	39	into	into	ADP
cana-3281	110	40	highresolution	highresolution	NOUN
cana-3281	110	41	,	,	PUNCT
cana-3281	110	42	photorealistic	photorealistic	ADJ
cana-3281	110	43	images	image	NOUN
cana-3281	110	44	.	.	PUNCT
cana-3281	111	1	a	a	DET
cana-3281	111	2	key	key	ADJ
cana-3281	111	3	novelty	novelty	NOUN
cana-3281	111	4	in	in	ADP
cana-3281	111	5	our	our	PRON
cana-3281	111	6	approach	approach	NOUN
cana-3281	111	7	is	be	AUX
cana-3281	111	8	the	the	DET
cana-3281	111	9	integrated	integrate	VERB
cana-3281	111	10	use	use	NOUN
cana-3281	111	11	of	of	ADP
cana-3281	111	12	multiple	multiple	ADJ
cana-3281	111	13	specialized	specialized	ADJ
cana-3281	111	14	gans	gan	NOUN
cana-3281	111	15	,	,	PUNCT
cana-3281	111	16	each	each	PRON
cana-3281	111	17	addressing	address	VERB
cana-3281	111	18	distinct	distinct	ADJ
cana-3281	111	19	aspects	aspect	NOUN
cana-3281	111	20	of	of	ADP
cana-3281	111	21	the	the	DET
cana-3281	111	22	generation	generation	NOUN
cana-3281	111	23	process	process	NOUN
cana-3281	111	24	to	to	PART
cana-3281	111	25	optimize	optimize	VERB
cana-3281	111	26	the	the	DET
cana-3281	111	27	quality	quality	NOUN
cana-3281	111	28	,	,	PUNCT
cana-3281	111	29	realism	realism	NOUN
cana-3281	111	30	,	,	PUNCT
cana-3281	111	31	and	and	CCONJ
cana-3281	111	32	versatility	versatility	NOUN
cana-3281	111	33	of	of	ADP
cana-3281	111	34	the	the	DET
cana-3281	111	35	outputs	output	NOUN
cana-3281	111	36	.	.	PUNCT
cana-3281	112	1	unlike	unlike	ADP
cana-3281	112	2	traditional	traditional	ADJ
cana-3281	112	3	single	single	ADJ
cana-3281	112	4	-	-	PUNCT
cana-3281	112	5	gan	gan	NOUN
cana-3281	112	6	models	model	NOUN
cana-3281	112	7	,	,	PUNCT
cana-3281	112	8	our	our	PRON
cana-3281	112	9	methodology	methodology	NOUN
cana-3281	112	10	combines	combine	VERB
cana-3281	112	11	stylegan	stylegan	NOUN
cana-3281	112	12	,	,	PUNCT
cana-3281	112	13	pix2pix	pix2pix	ADJ
cana-3281	112	14	,	,	PUNCT
cana-3281	112	15	and	and	CCONJ
cana-3281	112	16	esrgan	esrgan	VERB
cana-3281	112	17	,	,	PUNCT
cana-3281	112	18	each	each	DET
cana-3281	112	19	specialized	specialize	VERB
cana-3281	112	20	for	for	ADP
cana-3281	112	21	initial	initial	ADJ
cana-3281	112	22	generation	generation	NOUN
cana-3281	112	23	,	,	PUNCT
cana-3281	112	24	sketch	sketch	NOUN
cana-3281	112	25	refinement	refinement	NOUN
cana-3281	112	26	,	,	PUNCT
cana-3281	112	27	and	and	CCONJ
cana-3281	112	28	high	high	ADJ
cana-3281	112	29	-	-	PUNCT
cana-3281	112	30	resolution	resolution	NOUN
cana-3281	112	31	upscaling	upscaling	NOUN
cana-3281	112	32	,	,	PUNCT
cana-3281	112	33	respectively	respectively	ADV
cana-3281	112	34	.	.	PUNCT
cana-3281	113	1	this	this	DET
cana-3281	113	2	multi	multi	ADJ
cana-3281	113	3	-	-	ADJ
cana-3281	113	4	gan	gan	ADJ
cana-3281	113	5	framework	framework	NOUN
cana-3281	113	6	,	,	PUNCT
cana-3281	113	7	configured	configure	VERB
cana-3281	113	8	in	in	ADP
cana-3281	113	9	an	an	DET
cana-3281	113	10	end	end	NOUN
cana-3281	113	11	-	-	PUNCT
cana-3281	113	12	to	to	ADP
cana-3281	113	13	-	-	PUNCT
cana-3281	113	14	end	end	NOUN
cana-3281	113	15	pipeline	pipeline	NOUN
cana-3281	113	16	with	with	ADP
cana-3281	113	17	adaptive	adaptive	ADJ
cana-3281	113	18	loss	loss	NOUN
cana-3281	113	19	functions	function	NOUN
cana-3281	113	20	and	and	CCONJ
cana-3281	113	21	intermediate	intermediate	ADJ
cana-3281	113	22	constraints	constraint	NOUN
cana-3281	113	23	,	,	PUNCT
cana-3281	113	24	significantly	significantly	ADV
cana-3281	113	25	enhances	enhance	VERB
cana-3281	113	26	both	both	DET
cana-3281	113	27	structural	structural	ADJ
cana-3281	113	28	and	and	CCONJ
cana-3281	113	29	perceptual	perceptual	ADJ
cana-3281	113	30	fidelity	fidelity	NOUN
cana-3281	113	31	in	in	ADP
cana-3281	113	32	diverse	diverse	ADJ
cana-3281	113	33	application	application	NOUN
cana-3281	113	34	domains	domain	NOUN
cana-3281	113	35	,	,	PUNCT
cana-3281	113	36	including	include	VERB
cana-3281	113	37	architecture	architecture	NOUN
cana-3281	113	38	,	,	PUNCT
cana-3281	113	39	cartography	cartography	NOUN
cana-3281	113	40	,	,	PUNCT
cana-3281	113	41	and	and	CCONJ
cana-3281	113	42	fashion	fashion	NOUN
cana-3281	113	43	.	.	PUNCT
cana-3281	114	1	the	the	DET
cana-3281	114	2	methodology	methodology	NOUN
cana-3281	114	3	comprises	comprise	VERB
cana-3281	114	4	several	several	ADJ
cana-3281	114	5	integral	integral	ADJ
cana-3281	114	6	stages	stage	NOUN
cana-3281	114	7	:	:	PUNCT
cana-3281	114	8	1	1	X
cana-3281	114	9	.	.	X
cana-3281	114	10	data	datum	NOUN
cana-3281	114	11	acquisition	acquisition	NOUN
cana-3281	114	12	and	and	CCONJ
cana-3281	114	13	preprocessing	preprocesse	VERB
cana-3281	114	14	2	2	NUM
cana-3281	114	15	.	.	PUNCT
cana-3281	114	16	model	model	NOUN
cana-3281	114	17	architecture	architecture	NOUN
cana-3281	114	18	configuration	configuration	NOUN
cana-3281	114	19	3	3	X
cana-3281	114	20	.	.	PUNCT
cana-3281	114	21	training	training	NOUN
cana-3281	114	22	strategy	strategy	NOUN
cana-3281	114	23	4	4	NUM
cana-3281	114	24	.	.	PUNCT
cana-3281	114	25	performance	performance	NOUN
cana-3281	114	26	assessment	assessment	NOUN
cana-3281	114	27	.	.	PUNCT
cana-3281	115	1	each	each	DET
cana-3281	115	2	element	element	NOUN
cana-3281	115	3	is	be	AUX
cana-3281	115	4	crucial	crucial	ADJ
cana-3281	115	5	in	in	ADP
cana-3281	115	6	order	order	NOUN
cana-3281	115	7	to	to	PART
cana-3281	115	8	understand	understand	VERB
cana-3281	115	9	the	the	DET
cana-3281	115	10	systemic	systemic	ADJ
cana-3281	115	11	interactions	interaction	NOUN
cana-3281	115	12	and	and	CCONJ
cana-3281	115	13	dependencies	dependency	NOUN
cana-3281	115	14	within	within	ADP
cana-3281	115	15	the	the	DET
cana-3281	115	16	multi	multi	ADJ
cana-3281	115	17	-	-	ADJ
cana-3281	115	18	gan	gan	ADJ
cana-3281	115	19	framework	framework	NOUN
cana-3281	115	20	.	.	PUNCT
cana-3281	116	1	a.	a.	PROPN
cana-3281	116	2	data	data	PROPN
cana-3281	116	3	acquisition	acquisition	NOUN
cana-3281	116	4	and	and	CCONJ
cana-3281	116	5	preprocessing	preprocessing	NOUN
cana-3281	116	6	:	:	PUNCT
cana-3281	116	7	the	the	DET
cana-3281	116	8	first	first	ADJ
cana-3281	116	9	phase	phase	NOUN
cana-3281	116	10	of	of	ADP
cana-3281	116	11	the	the	DET
cana-3281	116	12	process	process	NOUN
cana-3281	116	13	entails	entail	VERB
cana-3281	116	14	the	the	DET
cana-3281	116	15	methodical	methodical	ADJ
cana-3281	116	16	gathering	gathering	NOUN
cana-3281	116	17	and	and	CCONJ
cana-3281	116	18	organization	organization	NOUN
cana-3281	116	19	of	of	ADP
cana-3281	116	20	images	image	NOUN
cana-3281	116	21	from	from	ADP
cana-3281	116	22	various	various	ADJ
cana-3281	116	23	datasets	dataset	NOUN
cana-3281	116	24	.	.	PUNCT
cana-3281	117	1	the	the	DET
cana-3281	117	2	images	image	NOUN
cana-3281	117	3	in	in	ADP
cana-3281	117	4	question	question	NOUN
cana-3281	117	5	are	be	AUX
cana-3281	117	6	subjected	subject	VERB
cana-3281	117	7	to	to	ADP
cana-3281	117	8	a	a	DET
cana-3281	117	9	series	series	NOUN
cana-3281	117	10	of	of	ADP
cana-3281	117	11	preprocessing	preprocesse	VERB
cana-3281	117	12	steps	step	NOUN
cana-3281	117	13	in	in	ADP
cana-3281	117	14	order	order	NOUN
cana-3281	117	15	to	to	PART
cana-3281	117	16	convert	convert	VERB
cana-3281	117	17	them	they	PRON
cana-3281	117	18	into	into	ADP
cana-3281	117	19	a	a	DET
cana-3281	117	20	standardized	standardized	ADJ
cana-3281	117	21	format	format	NOUN
cana-3281	117	22	that	that	PRON
cana-3281	117	23	is	be	AUX
cana-3281	117	24	appropriate	appropriate	ADJ
cana-3281	117	25	for	for	ADP
cana-3281	117	26	the	the	DET
cana-3281	117	27	training	training	NOUN
cana-3281	117	28	of	of	ADP
cana-3281	117	29	deep	deep	ADJ
cana-3281	117	30	neural	neural	ADJ
cana-3281	117	31	networks	network	NOUN
cana-3281	117	32	.	.	PUNCT
cana-3281	118	1	the	the	DET
cana-3281	118	2	objective	objective	NOUN
cana-3281	118	3	of	of	ADP
cana-3281	118	4	the	the	DET
cana-3281	118	5	preprocessing	preprocessing	NOUN
cana-3281	118	6	pipeline	pipeline	NOUN
cana-3281	118	7	is	be	AUX
cana-3281	118	8	to	to	PART
cana-3281	118	9	transform	transform	VERB
cana-3281	118	10	real	real	ADJ
cana-3281	118	11	-	-	PUNCT
cana-3281	118	12	world	world	NOUN
cana-3281	118	13	images	image	NOUN
cana-3281	118	14	into	into	ADP
cana-3281	118	15	a	a	DET
cana-3281	118	16	sketch	sketch	ADJ
cana-3281	118	17	format	format	NOUN
cana-3281	118	18	,	,	PUNCT
cana-3281	118	19	which	which	PRON
cana-3281	118	20	will	will	AUX
cana-3281	118	21	be	be	AUX
cana-3281	118	22	utilized	utilize	VERB
cana-3281	118	23	as	as	ADP
cana-3281	118	24	the	the	DET
cana-3281	118	25	primary	primary	ADJ
cana-3281	118	26	input	input	NOUN
cana-3281	118	27	for	for	ADP
cana-3281	118	28	the	the	DET
cana-3281	118	29	generative	generative	ADJ
cana-3281	118	30	adversarial	adversarial	ADJ
cana-3281	118	31	networks	network	NOUN
cana-3281	118	32	(	(	PUNCT
cana-3281	118	33	gans	gan	NOUN
cana-3281	118	34	)	)	PUNCT
cana-3281	118	35	.	.	PUNCT
cana-3281	119	1	detailed	detailed	ADJ
cana-3281	119	2	steps	step	NOUN
cana-3281	119	3	communications	communication	NOUN
cana-3281	119	4	on	on	ADP
cana-3281	119	5	applied	apply	VERB
cana-3281	119	6	nonlinear	nonlinear	ADJ
cana-3281	119	7	analysis	analysis	NOUN
cana-3281	119	8	issn	issn	NOUN
cana-3281	119	9	:	:	PUNCT
cana-3281	119	10	1074	1074	NUM
cana-3281	119	11	-	-	PUNCT
cana-3281	119	12	133x	133x	NUM
cana-3281	119	13	vol	vol	NOUN
cana-3281	119	14	32	32	NUM
cana-3281	119	15	no	no	NOUN
cana-3281	119	16	.	.	PUNCT
cana-3281	120	1	6s	6s	NUM
cana-3281	120	2	(	(	PUNCT
cana-3281	120	3	2025	2025	NUM
cana-3281	120	4	)	)	PUNCT
cana-3281	120	5	139	139	NUM
cana-3281	120	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	120	7	for	for	ADP
cana-3281	120	8	achieving	achieve	VERB
cana-3281	120	9	a	a	DET
cana-3281	120	10	pencil	pencil	NOUN
cana-3281	120	11	sketch	sketch	NOUN
cana-3281	120	12	effect	effect	NOUN
cana-3281	120	13	include	include	VERB
cana-3281	120	14	resizing	resizing	NOUN
cana-3281	120	15	,	,	PUNCT
cana-3281	120	16	color	color	NOUN
cana-3281	120	17	reduction	reduction	NOUN
cana-3281	120	18	to	to	ADP
cana-3281	120	19	grayscale	grayscale	NOUN
cana-3281	120	20	,	,	PUNCT
cana-3281	120	21	inversion	inversion	NOUN
cana-3281	120	22	for	for	ADP
cana-3281	120	23	contrast	contrast	NOUN
cana-3281	120	24	enhancement	enhancement	NOUN
cana-3281	120	25	,	,	PUNCT
cana-3281	120	26	blurring	blur	VERB
cana-3281	120	27	for	for	ADP
cana-3281	120	28	texture	texture	ADJ
cana-3281	120	29	simulation	simulation	NOUN
cana-3281	120	30	,	,	PUNCT
cana-3281	120	31	and	and	CCONJ
cana-3281	120	32	final	final	ADJ
cana-3281	120	33	blending	blending	NOUN
cana-3281	120	34	.	.	PUNCT
cana-3281	121	1	in	in	ADP
cana-3281	121	2	the	the	DET
cana-3281	121	3	development	development	NOUN
cana-3281	121	4	of	of	ADP
cana-3281	121	5	the	the	DET
cana-3281	121	6	data	data	NOUN
cana-3281	121	7	-	-	PUNCT
cana-3281	121	8	driven	drive	VERB
cana-3281	121	9	architecture	architecture	NOUN
cana-3281	121	10	for	for	ADP
cana-3281	121	11	the	the	DET
cana-3281	121	12	multi	multi	ADJ
cana-3281	121	13	-	-	ADJ
cana-3281	121	14	gan	gan	ADJ
cana-3281	121	15	system	system	NOUN
cana-3281	121	16	,	,	PUNCT
cana-3281	121	17	datasets	dataset	NOUN
cana-3281	121	18	were	be	AUX
cana-3281	121	19	carefully	carefully	ADV
cana-3281	121	20	selected	select	VERB
cana-3281	121	21	from	from	ADP
cana-3281	121	22	various	various	ADJ
cana-3281	121	23	domains	domain	NOUN
cana-3281	121	24	in	in	ADP
cana-3281	121	25	order	order	NOUN
cana-3281	121	26	to	to	PART
cana-3281	121	27	effectively	effectively	ADV
cana-3281	121	28	train	train	VERB
cana-3281	121	29	the	the	DET
cana-3281	121	30	corresponding	corresponding	ADJ
cana-3281	121	31	dc	dc	PROPN
cana-3281	121	32	-	-	PUNCT
cana-3281	121	33	gans	gan	NOUN
cana-3281	121	34	.	.	PUNCT
cana-3281	121	35	table	table	NOUN
cana-3281	121	36	i.	i.	PROPN
cana-3281	121	37	summary	summary	NOUN
cana-3281	121	38	of	of	ADP
cana-3281	121	39	datasets	dataset	NOUN
cana-3281	121	40	employes	employe	NOUN
cana-3281	121	41	in	in	ADP
cana-3281	121	42	the	the	DET
cana-3281	121	43	study	study	NOUN
cana-3281	121	44	dataset	dataset	NOUN
cana-3281	121	45	name	name	NOUN
cana-3281	121	46	size	size	NOUN
cana-3281	121	47	(	(	PUNCT
cana-3281	121	48	mb	mb	NOUN
cana-3281	121	49	/	/	SYM
cana-3281	121	50	gb	gb	NOUN
cana-3281	121	51	)	)	PUNCT
cana-3281	121	52	no	no	NOUN
cana-3281	121	53	.	.	NOUN
cana-3281	122	1	of	of	ADP
cana-3281	122	2	images	image	NOUN
cana-3281	122	3	cmp	cmp	NOUN
cana-3281	122	4	facades	facade	NOUN
cana-3281	122	5	31	31	NUM
cana-3281	122	6	mb	mb	PART
cana-3281	122	7	400	400	NUM
cana-3281	122	8	cityspaces	cityspace	NOUN
cana-3281	122	9	113	113	NUM
cana-3281	122	10	mb	mb	ADJ
cana-3281	122	11	2975	2975	NUM
cana-3281	122	12	google	google	PROPN
cana-3281	122	13	maps	map	NOUN
cana-3281	122	14	246	246	NUM
cana-3281	122	15	mb	mb	PROPN
cana-3281	122	16	1096	1096	NUM
cana-3281	122	17	ut	ut	PROPN
cana-3281	123	1	zappos50k	zappos50k	PROPN
cana-3281	123	2	2.2	2.2	NUM
cana-3281	123	3	gb	gb	NOUN
cana-3281	123	4	50,000	50,000	NUM
cana-3281	123	5	amazon	amazon	NOUN
cana-3281	123	6	handbags	handbag	NOUN
cana-3281	123	7	8.6	8.6	NUM
cana-3281	123	8	gb	gb	ADP
cana-3281	123	9	1,37,000	1,37,000	NUM
cana-3281	123	10	the	the	DET
cana-3281	123	11	following	following	NOUN
cana-3281	123	12	are	be	AUX
cana-3281	123	13	the	the	DET
cana-3281	123	14	preprocessing	preprocessing	NOUN
cana-3281	123	15	steps	step	NOUN
cana-3281	123	16	:	:	PUNCT
cana-3281	123	17	1	1	X
cana-3281	123	18	.	.	X
cana-3281	123	19	resizing	resize	VERB
cana-3281	123	20	to	to	ADP
cana-3281	123	21	uniform	uniform	ADJ
cana-3281	123	22	dimensions	dimension	NOUN
cana-3281	123	23	:	:	PUNCT
cana-3281	123	24	to	to	PART
cana-3281	123	25	guarantee	guarantee	VERB
cana-3281	123	26	consistency	consistency	NOUN
cana-3281	123	27	among	among	ADP
cana-3281	123	28	datasets	dataset	NOUN
cana-3281	123	29	,	,	PUNCT
cana-3281	123	30	every	every	DET
cana-3281	123	31	image	image	NOUN
cana-3281	123	32	is	be	AUX
cana-3281	123	33	shrunk	shrink	VERB
cana-3281	123	34	to	to	ADP
cana-3281	123	35	a	a	DET
cana-3281	123	36	uniform	uniform	ADJ
cana-3281	123	37	resolution	resolution	NOUN
cana-3281	123	38	of	of	ADP
cana-3281	123	39	256x256	256x256	PROPN
cana-3281	123	40	.	.	PUNCT
cana-3281	124	1	2	2	X
cana-3281	124	2	.	.	X
cana-3281	124	3	conversion	conversion	NOUN
cana-3281	124	4	to	to	AUX
cana-3281	124	5	greyscale	greyscale	VERB
cana-3281	124	6	:	:	PUNCT
cana-3281	124	7	in	in	ADP
cana-3281	124	8	order	order	NOUN
cana-3281	124	9	to	to	PART
cana-3281	124	10	highlight	highlight	VERB
cana-3281	124	11	the	the	DET
cana-3281	124	12	edges	edge	NOUN
cana-3281	124	13	and	and	CCONJ
cana-3281	124	14	contours	contours	VERB
cana-3281	124	15	important	important	ADJ
cana-3281	124	16	for	for	ADP
cana-3281	124	17	a	a	DET
cana-3281	124	18	sketch	sketch	ADJ
cana-3281	124	19	-	-	PUNCT
cana-3281	124	20	like	like	ADJ
cana-3281	124	21	representation	representation	NOUN
cana-3281	124	22	,	,	PUNCT
cana-3281	124	23	the	the	DET
cana-3281	124	24	colour	colour	NOUN
cana-3281	124	25	photos	photo	NOUN
cana-3281	124	26	are	be	AUX
cana-3281	124	27	converted	convert	VERB
cana-3281	124	28	to	to	ADP
cana-3281	124	29	greyscale	greyscale	NOUN
cana-3281	124	30	.	.	PUNCT
cana-3281	125	1	3	3	X
cana-3281	125	2	.	.	X
cana-3281	125	3	colour	colour	ADJ
cana-3281	125	4	inversion	inversion	NOUN
cana-3281	125	5	:	:	PUNCT
cana-3281	125	6	to	to	PART
cana-3281	125	7	improve	improve	VERB
cana-3281	125	8	edge	edge	NOUN
cana-3281	125	9	definition	definition	NOUN
cana-3281	125	10	and	and	CCONJ
cana-3281	125	11	set	set	VERB
cana-3281	125	12	the	the	DET
cana-3281	125	13	stage	stage	NOUN
cana-3281	125	14	for	for	ADP
cana-3281	125	15	the	the	DET
cana-3281	125	16	pencil	pencil	NOUN
cana-3281	125	17	sketch	sketch	NOUN
cana-3281	125	18	look	look	NOUN
cana-3281	125	19	,	,	PUNCT
cana-3281	125	20	greyscale	greyscale	NOUN
cana-3281	125	21	images	image	NOUN
cana-3281	125	22	are	be	AUX
cana-3281	125	23	color	color	NOUN
cana-3281	125	24	-	-	PUNCT
cana-3281	125	25	inverted	invert	VERB
cana-3281	125	26	.	.	PUNCT
cana-3281	126	1	4	4	X
cana-3281	126	2	.	.	X
cana-3281	126	3	blurring	blur	VERB
cana-3281	126	4	:	:	PUNCT
cana-3281	126	5	to	to	PART
cana-3281	126	6	replicate	replicate	VERB
cana-3281	126	7	the	the	DET
cana-3281	126	8	smearing	smearing	NOUN
cana-3281	126	9	look	look	NOUN
cana-3281	126	10	seen	see	VERB
cana-3281	126	11	in	in	ADP
cana-3281	126	12	pencil	pencil	NOUN
cana-3281	126	13	art	art	NOUN
cana-3281	126	14	,	,	PUNCT
cana-3281	126	15	a	a	DET
cana-3281	126	16	gaussian	gaussian	ADJ
cana-3281	126	17	blur	blur	NOUN
cana-3281	126	18	is	be	AUX
cana-3281	126	19	employed	employ	VERB
cana-3281	126	20	.	.	PUNCT
cana-3281	127	1	5	5	X
cana-3281	127	2	.	.	X
cana-3281	127	3	final	final	ADJ
cana-3281	127	4	sketch	sketch	NOUN
cana-3281	127	5	creation	creation	NOUN
cana-3281	127	6	:	:	PUNCT
cana-3281	127	7	to	to	PART
cana-3281	127	8	give	give	VERB
cana-3281	127	9	the	the	DET
cana-3281	127	10	greyscale	greyscale	ADJ
cana-3281	127	11	image	image	NOUN
cana-3281	127	12	a	a	DET
cana-3281	127	13	detailed	detailed	ADJ
cana-3281	127	14	,	,	PUNCT
cana-3281	127	15	sketch	sketch	NOUN
cana-3281	127	16	-	-	PUNCT
cana-3281	127	17	like	like	ADJ
cana-3281	127	18	appearance	appearance	NOUN
cana-3281	127	19	,	,	PUNCT
cana-3281	127	20	the	the	DET
cana-3281	127	21	blurred	blurred	ADJ
cana-3281	127	22	negative	negative	NOUN
cana-3281	127	23	is	be	AUX
cana-3281	127	24	mixed	mix	VERB
cana-3281	127	25	with	with	ADP
cana-3281	127	26	it	it	PRON
cana-3281	127	27	.	.	PUNCT
cana-3281	128	1	fig	fig	NOUN
cana-3281	128	2	.	.	PUNCT
cana-3281	129	1	1	1	NUM
cana-3281	129	2	:	:	PUNCT
cana-3281	129	3	preprocessing	preprocesse	VERB
cana-3281	129	4	of	of	ADP
cana-3281	129	5	dataset	dataset	PROPN
cana-3281	129	6	b.	b.	PROPN
cana-3281	129	7	model	model	NOUN
cana-3281	129	8	architecture	architecture	NOUN
cana-3281	129	9	and	and	CCONJ
cana-3281	129	10	training	training	NOUN
cana-3281	129	11	we	we	PRON
cana-3281	129	12	employ	employ	VERB
cana-3281	129	13	a	a	DET
cana-3281	129	14	structured	structured	ADJ
cana-3281	129	15	system	system	NOUN
cana-3281	129	16	of	of	ADP
cana-3281	129	17	generative	generative	ADJ
cana-3281	129	18	adversarial	adversarial	ADJ
cana-3281	129	19	networks	network	NOUN
cana-3281	129	20	,	,	PUNCT
cana-3281	129	21	with	with	ADP
cana-3281	129	22	each	each	PRON
cana-3281	129	23	specializing	specialize	VERB
cana-3281	129	24	in	in	ADP
cana-3281	129	25	unique	unique	ADJ
cana-3281	129	26	facets	facet	NOUN
cana-3281	129	27	of	of	ADP
cana-3281	129	28	the	the	DET
cana-3281	129	29	process	process	NOUN
cana-3281	129	30	of	of	ADP
cana-3281	129	31	generating	generating	NOUN
cana-3281	129	32	images	image	NOUN
cana-3281	129	33	.	.	PUNCT
cana-3281	130	1	the	the	DET
cana-3281	130	2	architecture	architecture	NOUN
cana-3281	130	3	comprises	comprise	NOUN
cana-3281	130	4	of	of	ADP
cana-3281	130	5	a	a	DET
cana-3281	130	6	stylegan	stylegan	NOUN
cana-3281	130	7	for	for	ADP
cana-3281	130	8	the	the	DET
cana-3281	130	9	initial	initial	ADJ
cana-3281	130	10	generation	generation	NOUN
cana-3281	130	11	of	of	ADP
cana-3281	130	12	images	image	NOUN
cana-3281	130	13	from	from	ADP
cana-3281	130	14	noise	noise	NOUN
cana-3281	130	15	,	,	PUNCT
cana-3281	130	16	a	a	DET
cana-3281	130	17	pix2pix	pix2pix	ADJ
cana-3281	130	18	gan	gan	NOUN
cana-3281	130	19	for	for	ADP
cana-3281	130	20	the	the	DET
cana-3281	130	21	refinement	refinement	NOUN
cana-3281	130	22	of	of	ADP
cana-3281	130	23	these	these	DET
cana-3281	130	24	images	image	NOUN
cana-3281	130	25	to	to	PART
cana-3281	130	26	align	align	VERB
cana-3281	130	27	with	with	ADP
cana-3281	130	28	input	input	NOUN
cana-3281	130	29	sketches	sketch	NOUN
cana-3281	130	30	,	,	PUNCT
cana-3281	130	31	and	and	CCONJ
cana-3281	130	32	an	an	DET
cana-3281	130	33	esrgan	esrgan	NOUN
cana-3281	130	34	for	for	ADP
cana-3281	130	35	upscaling	upscale	VERB
cana-3281	130	36	the	the	DET
cana-3281	130	37	images	image	NOUN
cana-3281	130	38	to	to	ADP
cana-3281	130	39	high	high	ADJ
cana-3281	130	40	resolution	resolution	NOUN
cana-3281	130	41	while	while	SCONJ
cana-3281	130	42	preserving	preserve	VERB
cana-3281	130	43	textural	textural	ADJ
cana-3281	130	44	details	detail	NOUN
cana-3281	130	45	.	.	PUNCT
cana-3281	131	1	this	this	DET
cana-3281	131	2	section	section	NOUN
cana-3281	131	3	will	will	AUX
cana-3281	131	4	provide	provide	VERB
cana-3281	131	5	detailed	detailed	ADJ
cana-3281	131	6	information	information	NOUN
cana-3281	131	7	on	on	ADP
cana-3281	131	8	the	the	DET
cana-3281	131	9	configurations	configuration	NOUN
cana-3281	131	10	,	,	PUNCT
cana-3281	131	11	interconnections	interconnection	NOUN
cana-3281	131	12	,	,	PUNCT
cana-3281	131	13	and	and	CCONJ
cana-3281	131	14	training	training	NOUN
cana-3281	131	15	regimens	regimen	NOUN
cana-3281	131	16	for	for	ADP
cana-3281	131	17	these	these	DET
cana-3281	131	18	networks	network	NOUN
cana-3281	131	19	.	.	PUNCT
cana-3281	132	1	thank	thank	VERB
cana-3281	132	2	you	you	PRON
cana-3281	132	3	.	.	PUNCT
cana-3281	133	1	multi	multi	ADJ
cana-3281	133	2	-	-	ADJ
cana-3281	133	3	class	class	ADJ
cana-3281	133	4	cnn	cnn	NOUN
cana-3281	133	5	for	for	ADP
cana-3281	133	6	initial	initial	ADJ
cana-3281	133	7	classification	classification	NOUN
cana-3281	133	8	before	before	ADP
cana-3281	133	9	image	image	NOUN
cana-3281	133	10	generation	generation	NOUN
cana-3281	133	11	,	,	PUNCT
cana-3281	133	12	an	an	DET
cana-3281	133	13	initial	initial	ADJ
cana-3281	133	14	classification	classification	NOUN
cana-3281	133	15	step	step	NOUN
cana-3281	133	16	is	be	AUX
cana-3281	133	17	employed	employ	VERB
cana-3281	133	18	using	use	VERB
cana-3281	133	19	a	a	DET
cana-3281	133	20	multi	multi	ADJ
cana-3281	133	21	-	-	ADJ
cana-3281	133	22	class	class	ADJ
cana-3281	133	23	convolutional	convolutional	ADJ
cana-3281	133	24	neural	neural	ADJ
cana-3281	133	25	network	network	NOUN
cana-3281	133	26	(	(	PUNCT
cana-3281	133	27	cnn	cnn	PROPN
cana-3281	133	28	)	)	PUNCT
cana-3281	133	29	.	.	PUNCT
cana-3281	134	1	this	this	DET
cana-3281	134	2	convolutional	convolutional	ADJ
cana-3281	134	3	neural	neural	ADJ
cana-3281	134	4	network	network	NOUN
cana-3281	134	5	(	(	PUNCT
cana-3281	134	6	cnn	cnn	PROPN
cana-3281	134	7	)	)	PUNCT
cana-3281	134	8	distinguishes	distinguish	VERB
cana-3281	134	9	between	between	ADP
cana-3281	134	10	various	various	ADJ
cana-3281	134	11	categories	category	NOUN
cana-3281	134	12	,	,	PUNCT
cana-3281	134	13	including	include	VERB
cana-3281	134	14	buildings	building	NOUN
cana-3281	134	15	,	,	PUNCT
cana-3281	134	16	cityscapes	cityscape	NOUN
cana-3281	134	17	,	,	PUNCT
cana-3281	134	18	footwear	footwear	NOUN
cana-3281	134	19	,	,	PUNCT
cana-3281	134	20	and	and	CCONJ
cana-3281	134	21	fashion	fashion	NOUN
cana-3281	134	22	accessories	accessory	NOUN
cana-3281	134	23	.	.	PUNCT
cana-3281	135	1	this	this	DET
cana-3281	135	2	classification	classification	NOUN
cana-3281	135	3	guides	guide	VERB
cana-3281	135	4	the	the	DET
cana-3281	135	5	selection	selection	NOUN
cana-3281	135	6	pathway	pathway	NOUN
cana-3281	135	7	for	for	ADP
cana-3281	135	8	the	the	DET
cana-3281	135	9	specific	specific	ADJ
cana-3281	135	10	gan	gan	NOUN
cana-3281	135	11	model	model	NOUN
cana-3281	135	12	that	that	PRON
cana-3281	135	13	generates	generate	VERB
cana-3281	135	14	the	the	DET
cana-3281	135	15	base	base	NOUN
cana-3281	135	16	images	image	NOUN
cana-3281	135	17	,	,	PUNCT
cana-3281	135	18	ensuring	ensure	VERB
cana-3281	135	19	that	that	SCONJ
cana-3281	135	20	each	each	DET
cana-3281	135	21	input	input	NOUN
cana-3281	135	22	sketch	sketch	NOUN
cana-3281	135	23	communications	communication	NOUN
cana-3281	135	24	on	on	ADP
cana-3281	135	25	applied	apply	VERB
cana-3281	135	26	nonlinear	nonlinear	ADJ
cana-3281	135	27	analysis	analysis	NOUN
cana-3281	135	28	issn	issn	NOUN
cana-3281	135	29	:	:	PUNCT
cana-3281	135	30	1074	1074	NUM
cana-3281	135	31	-	-	PUNCT
cana-3281	135	32	133x	133x	NUM
cana-3281	135	33	vol	vol	NOUN
cana-3281	135	34	32	32	NUM
cana-3281	135	35	no	no	NOUN
cana-3281	135	36	.	.	PUNCT
cana-3281	136	1	6s	6s	NUM
cana-3281	136	2	(	(	PUNCT
cana-3281	136	3	2025	2025	NUM
cana-3281	136	4	)	)	PUNCT
cana-3281	136	5	140	140	NUM
cana-3281	136	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	136	7	is	be	AUX
cana-3281	136	8	processed	process	VERB
cana-3281	136	9	by	by	ADP
cana-3281	136	10	the	the	DET
cana-3281	136	11	most	most	ADV
cana-3281	136	12	suitable	suitable	ADJ
cana-3281	136	13	generative	generative	ADJ
cana-3281	136	14	model	model	NOUN
cana-3281	136	15	tailored	tailor	VERB
cana-3281	136	16	to	to	ADP
cana-3281	136	17	its	its	PRON
cana-3281	136	18	category	category	NOUN
cana-3281	136	19	.	.	PUNCT
cana-3281	137	1	the	the	DET
cana-3281	137	2	multi	multi	ADJ
cana-3281	137	3	-	-	ADJ
cana-3281	137	4	class	class	ADJ
cana-3281	137	5	convolutional	convolutional	ADJ
cana-3281	137	6	neural	neural	ADJ
cana-3281	137	7	network	network	NOUN
cana-3281	137	8	(	(	PUNCT
cana-3281	137	9	cnn	cnn	PROPN
cana-3281	137	10	)	)	PUNCT
cana-3281	137	11	is	be	AUX
cana-3281	137	12	composed	compose	VERB
cana-3281	137	13	of	of	ADP
cana-3281	137	14	several	several	ADJ
cana-3281	137	15	convolutional	convolutional	ADJ
cana-3281	137	16	layers	layer	NOUN
cana-3281	137	17	,	,	PUNCT
cana-3281	137	18	each	each	PRON
cana-3281	137	19	of	of	ADP
cana-3281	137	20	which	which	PRON
cana-3281	137	21	is	be	AUX
cana-3281	137	22	followed	follow	VERB
cana-3281	137	23	by	by	ADP
cana-3281	137	24	batch	batch	NOUN
cana-3281	137	25	normalization	normalization	NOUN
cana-3281	137	26	and	and	CCONJ
cana-3281	137	27	rectified	rectify	VERB
cana-3281	137	28	linear	linear	NOUN
cana-3281	137	29	unit	unit	NOUN
cana-3281	137	30	(	(	PUNCT
cana-3281	137	31	relu	relu	NOUN
cana-3281	137	32	)	)	PUNCT
cana-3281	137	33	activation	activation	NOUN
cana-3281	137	34	functions	function	NOUN
cana-3281	137	35	in	in	ADP
cana-3281	137	36	order	order	NOUN
cana-3281	137	37	to	to	PART
cana-3281	137	38	introduce	introduce	VERB
cana-3281	137	39	non	non	ADJ
cana-3281	137	40	-	-	NOUN
cana-3281	137	41	linearity	linearity	ADJ
cana-3281	137	42	.	.	PUNCT
cana-3281	138	1	a	a	DET
cana-3281	138	2	softmax	softmax	NOUN
cana-3281	138	3	layer	layer	NOUN
cana-3281	138	4	concludes	conclude	VERB
cana-3281	138	5	the	the	DET
cana-3281	138	6	network	network	NOUN
cana-3281	138	7	to	to	AUX
cana-3281	138	8	output	output	NOUN
cana-3281	138	9	probabilities	probability	NOUN
cana-3281	138	10	across	across	ADP
cana-3281	138	11	the	the	DET
cana-3281	138	12	predefined	predefine	VERB
cana-3281	138	13	categories	category	NOUN
cana-3281	138	14	,	,	PUNCT
cana-3281	138	15	ensuring	ensure	VERB
cana-3281	138	16	that	that	SCONJ
cana-3281	138	17	each	each	DET
cana-3281	138	18	sketch	sketch	NOUN
cana-3281	138	19	is	be	AUX
cana-3281	138	20	appropriately	appropriately	ADV
cana-3281	138	21	classified	classify	VERB
cana-3281	138	22	to	to	PART
cana-3281	138	23	guide	guide	VERB
cana-3281	138	24	the	the	DET
cana-3281	138	25	subsequent	subsequent	ADJ
cana-3281	138	26	gan	gan	PROPN
cana-3281	138	27	processes	process	NOUN
cana-3281	138	28	.	.	PUNCT
cana-3281	139	1	stylegan	stylegan	NOUN
cana-3281	139	2	,	,	PUNCT
cana-3281	139	3	also	also	ADV
cana-3281	139	4	known	know	VERB
cana-3281	139	5	as	as	ADP
cana-3281	139	6	deep	deep	ADJ
cana-3281	139	7	convolutional	convolutional	ADJ
cana-3281	139	8	generative	generative	ADJ
cana-3281	139	9	adversarial	adversarial	ADJ
cana-3281	139	10	network	network	NOUN
cana-3281	139	11	(	(	PUNCT
cana-3281	139	12	dcgan	dcgan	NOUN
cana-3281	139	13	)	)	PUNCT
cana-3281	139	14	,	,	PUNCT
cana-3281	139	15	is	be	AUX
cana-3281	139	16	employed	employ	VERB
cana-3281	139	17	for	for	ADP
cana-3281	139	18	the	the	DET
cana-3281	139	19	purpose	purpose	NOUN
cana-3281	139	20	of	of	ADP
cana-3281	139	21	initial	initial	ADJ
cana-3281	139	22	image	image	NOUN
cana-3281	139	23	synthesis	synthesis	NOUN
cana-3281	139	24	.	.	PUNCT
cana-3281	140	1	the	the	DET
cana-3281	140	2	technique	technique	NOUN
cana-3281	140	3	adopts	adopt	VERB
cana-3281	140	4	a	a	DET
cana-3281	140	5	layered	layered	ADJ
cana-3281	140	6	approach	approach	NOUN
cana-3281	140	7	,	,	PUNCT
cana-3281	140	8	wherein	wherein	SCONJ
cana-3281	140	9	each	each	DET
cana-3281	140	10	layer	layer	NOUN
cana-3281	140	11	plays	play	VERB
cana-3281	140	12	a	a	DET
cana-3281	140	13	distinct	distinct	ADJ
cana-3281	140	14	role	role	NOUN
cana-3281	140	15	in	in	ADP
cana-3281	140	16	capturing	capture	VERB
cana-3281	140	17	various	various	ADJ
cana-3281	140	18	scales	scale	NOUN
cana-3281	140	19	of	of	ADP
cana-3281	140	20	details	detail	NOUN
cana-3281	140	21	within	within	ADP
cana-3281	140	22	the	the	DET
cana-3281	140	23	images	image	NOUN
cana-3281	140	24	.	.	PUNCT
cana-3281	141	1	the	the	DET
cana-3281	141	2	network	network	NOUN
cana-3281	141	3	architecture	architecture	NOUN
cana-3281	141	4	consists	consist	VERB
cana-3281	141	5	of	of	ADP
cana-3281	141	6	:	:	PUNCT
cana-3281	141	7	mapping	mapping	NOUN
cana-3281	141	8	network	network	NOUN
cana-3281	141	9	:	:	PUNCT
cana-3281	141	10	this	this	DET
cana-3281	141	11	network	network	NOUN
cana-3281	141	12	transforms	transform	VERB
cana-3281	141	13	the	the	DET
cana-3281	141	14	input	input	NOUN
cana-3281	141	15	latent	latent	NOUN
cana-3281	141	16	space	space	NOUN
cana-3281	141	17	into	into	ADP
cana-3281	141	18	an	an	DET
cana-3281	141	19	intermediate	intermediate	ADJ
cana-3281	141	20	latent	latent	NOUN
cana-3281	141	21	space	space	NOUN
cana-3281	141	22	,	,	PUNCT
cana-3281	141	23	thereby	thereby	ADV
cana-3281	141	24	enhancing	enhance	VERB
cana-3281	141	25	the	the	DET
cana-3281	141	26	disentanglement	disentanglement	NOUN
cana-3281	141	27	of	of	ADP
cana-3281	141	28	features	feature	NOUN
cana-3281	141	29	.	.	PUNCT
cana-3281	142	1	synthesis	synthesis	NOUN
cana-3281	142	2	network	network	NOUN
cana-3281	142	3	:	:	PUNCT
cana-3281	142	4	the	the	DET
cana-3281	142	5	synthesis	synthesis	NOUN
cana-3281	142	6	network	network	NOUN
cana-3281	142	7	is	be	AUX
cana-3281	142	8	comprised	comprise	VERB
cana-3281	142	9	of	of	ADP
cana-3281	142	10	several	several	ADJ
cana-3281	142	11	convolutional	convolutional	ADJ
cana-3281	142	12	layers	layer	NOUN
cana-3281	142	13	,	,	PUNCT
cana-3281	142	14	with	with	ADP
cana-3281	142	15	each	each	DET
cana-3281	142	16	one	one	NOUN
cana-3281	142	17	being	be	AUX
cana-3281	142	18	responsible	responsible	ADJ
cana-3281	142	19	for	for	ADP
cana-3281	142	20	gradually	gradually	ADV
cana-3281	142	21	enhancing	enhance	VERB
cana-3281	142	22	the	the	DET
cana-3281	142	23	details	detail	NOUN
cana-3281	142	24	of	of	ADP
cana-3281	142	25	the	the	DET
cana-3281	142	26	generated	generate	VERB
cana-3281	142	27	images	image	NOUN
cana-3281	142	28	.	.	PUNCT
cana-3281	143	1	adaptive	adaptive	ADJ
cana-3281	143	2	instance	instance	NOUN
cana-3281	143	3	normalization	normalization	NOUN
cana-3281	143	4	(	(	PUNCT
cana-3281	143	5	adain	adain	ADJ
cana-3281	143	6	)	)	PUNCT
cana-3281	143	7	layers	layer	NOUN
cana-3281	143	8	are	be	AUX
cana-3281	143	9	incorporated	incorporate	VERB
cana-3281	143	10	at	at	ADP
cana-3281	143	11	every	every	DET
cana-3281	143	12	convolutional	convolutional	ADJ
cana-3281	143	13	stage	stage	NOUN
cana-3281	143	14	in	in	ADP
cana-3281	143	15	order	order	NOUN
cana-3281	143	16	to	to	PART
cana-3281	143	17	infuse	infuse	VERB
cana-3281	143	18	style	style	NOUN
cana-3281	143	19	information	information	NOUN
cana-3281	143	20	.	.	PUNCT
cana-3281	144	1	generator	generator	NOUN
cana-3281	144	2	and	and	CCONJ
cana-3281	144	3	discriminator	discriminator	NOUN
cana-3281	144	4	networks	network	NOUN
cana-3281	144	5	:	:	PUNCT
cana-3281	144	6	the	the	DET
cana-3281	144	7	generator	generator	NOUN
cana-3281	144	8	produces	produce	VERB
cana-3281	144	9	images	image	NOUN
cana-3281	144	10	from	from	ADP
cana-3281	144	11	the	the	DET
cana-3281	144	12	noise	noise	NOUN
cana-3281	144	13	vector	vector	NOUN
cana-3281	144	14	progressively	progressively	ADV
cana-3281	144	15	,	,	PUNCT
cana-3281	144	16	while	while	SCONJ
cana-3281	144	17	the	the	DET
cana-3281	144	18	discriminator	discriminator	NOUN
cana-3281	144	19	assesses	assess	VERB
cana-3281	144	20	the	the	DET
cana-3281	144	21	realism	realism	NOUN
cana-3281	144	22	of	of	ADP
cana-3281	144	23	the	the	DET
cana-3281	144	24	generated	generate	VERB
cana-3281	144	25	images	image	NOUN
cana-3281	144	26	against	against	ADP
cana-3281	144	27	actual	actual	ADJ
cana-3281	144	28	images	image	NOUN
cana-3281	144	29	.	.	PUNCT
cana-3281	145	1	equation	equation	NOUN
cana-3281	145	2	1	1	NUM
cana-3281	145	3	below	below	ADV
cana-3281	145	4	represents	represent	VERB
cana-3281	145	5	the	the	DET
cana-3281	145	6	loss	loss	NOUN
cana-3281	145	7	function	function	NOUN
cana-3281	145	8	of	of	ADP
cana-3281	145	9	style	style	NOUN
cana-3281	145	10	-	-	PUNCT
cana-3281	145	11	gan	gin	VERB
cana-3281	145	12	.	.	PUNCT
cana-3281	146	1	thank	thank	VERB
cana-3281	146	2	you	you	PRON
cana-3281	146	3	.	.	PUNCT
cana-3281	147	1	this	this	DET
cana-3281	147	2	loss	loss	NOUN
cana-3281	147	3	function	function	NOUN
cana-3281	147	4	aids	aid	NOUN
cana-3281	147	5	in	in	ADP
cana-3281	147	6	the	the	DET
cana-3281	147	7	training	training	NOUN
cana-3281	147	8	of	of	ADP
cana-3281	147	9	the	the	DET
cana-3281	147	10	discriminator	discriminator	NOUN
cana-3281	147	11	by	by	ADP
cana-3281	147	12	maximizing	maximize	VERB
cana-3281	147	13	the	the	DET
cana-3281	147	14	probability	probability	NOUN
cana-3281	147	15	of	of	ADP
cana-3281	147	16	accurately	accurately	ADV
cana-3281	147	17	distinguishing	distinguish	VERB
cana-3281	147	18	between	between	ADP
cana-3281	147	19	real	real	ADJ
cana-3281	147	20	and	and	CCONJ
cana-3281	147	21	generated	generate	VERB
cana-3281	147	22	images	image	NOUN
cana-3281	147	23	,	,	PUNCT
cana-3281	147	24	whereas	whereas	SCONJ
cana-3281	147	25	the	the	DET
cana-3281	147	26	generator	generator	NOUN
cana-3281	147	27	's	's	PART
cana-3281	147	28	objective	objective	NOUN
cana-3281	147	29	is	be	AUX
cana-3281	147	30	to	to	PART
cana-3281	147	31	minimize	minimize	VERB
cana-3281	147	32	this	this	DET
cana-3281	147	33	probability	probability	NOUN
cana-3281	147	34	.	.	PUNCT
cana-3281	148	1	l	l	NOUN
cana-3281	148	2	sg	sg	NOUN
cana-3281	148	3	=	=	SYM
cana-3281	148	4	e	e	NOUN
cana-3281	148	5	x	x	PUNCT
cana-3281	148	6	∼	∼	NOUN
cana-3281	148	7	pdata[log	pdata[log	NOUN
cana-3281	148	8	d(x	d(x	NOUN
cana-3281	148	9	)	)	PUNCT
cana-3281	148	10	]	]	PUNCT
cana-3281	149	1	+	+	CCONJ
cana-3281	149	2	e	e	X
cana-3281	149	3	z	z	NOUN
cana-3281	149	4	∼	∼	NOUN
cana-3281	149	5	pz[log(1	pz[log(1	NOUN
cana-3281	149	6	−	−	NOUN
cana-3281	149	7	d(g(z	d(g(z	NOUN
cana-3281	149	8	)	)	PUNCT
cana-3281	149	9	)	)	PUNCT
cana-3281	149	10	)	)	PUNCT
cana-3281	149	11	]	]	PUNCT
cana-3281	150	1	(	(	PUNCT
cana-3281	150	2	1	1	X
cana-3281	150	3	)	)	PUNCT
cana-3281	150	4	pix2pix	pix2pix	NOUN
cana-3281	150	5	gan	gan	NOUN
cana-3281	150	6	for	for	ADP
cana-3281	150	7	sketch	sketch	NOUN
cana-3281	150	8	refinement	refinement	NOUN
cana-3281	150	9	:	:	PUNCT
cana-3281	150	10	the	the	DET
cana-3281	150	11	sketch	sketch	PROPN
cana-3281	150	12	gan	gan	PROPN
cana-3281	150	13	,	,	PUNCT
cana-3281	150	14	which	which	PRON
cana-3281	150	15	is	be	AUX
cana-3281	150	16	integrated	integrate	VERB
cana-3281	150	17	into	into	ADP
cana-3281	150	18	the	the	DET
cana-3281	150	19	pix2pix	pix2pix	ADJ
cana-3281	150	20	framework	framework	NOUN
cana-3281	150	21	,	,	PUNCT
cana-3281	150	22	plays	play	VERB
cana-3281	150	23	a	a	DET
cana-3281	150	24	vital	vital	ADJ
cana-3281	150	25	role	role	NOUN
cana-3281	150	26	in	in	ADP
cana-3281	150	27	transforming	transform	VERB
cana-3281	150	28	the	the	DET
cana-3281	150	29	initial	initial	ADJ
cana-3281	150	30	images	image	NOUN
cana-3281	150	31	produced	produce	VERB
cana-3281	150	32	by	by	ADP
cana-3281	150	33	stylegan	stylegan	NOUN
cana-3281	150	34	into	into	ADP
cana-3281	150	35	sketches	sketch	NOUN
cana-3281	150	36	that	that	SCONJ
cana-3281	150	37	closely	closely	ADV
cana-3281	150	38	mimic	mimic	VERB
cana-3281	150	39	the	the	DET
cana-3281	150	40	input	input	NOUN
cana-3281	150	41	sketches	sketch	NOUN
cana-3281	150	42	supplied	supply	VERB
cana-3281	150	43	by	by	ADP
cana-3281	150	44	users	user	NOUN
cana-3281	150	45	.	.	PUNCT
cana-3281	151	1	this	this	DET
cana-3281	151	2	process	process	NOUN
cana-3281	151	3	is	be	AUX
cana-3281	151	4	essential	essential	ADJ
cana-3281	151	5	for	for	ADP
cana-3281	151	6	tasks	task	NOUN
cana-3281	151	7	where	where	SCONJ
cana-3281	151	8	the	the	DET
cana-3281	151	9	goal	goal	NOUN
cana-3281	151	10	is	be	AUX
cana-3281	151	11	to	to	PART
cana-3281	151	12	refine	refine	VERB
cana-3281	151	13	a	a	DET
cana-3281	151	14	generated	generate	VERB
cana-3281	151	15	image	image	NOUN
cana-3281	151	16	into	into	ADP
cana-3281	151	17	a	a	DET
cana-3281	151	18	more	more	ADV
cana-3281	151	19	accurate	accurate	ADJ
cana-3281	151	20	representation	representation	NOUN
cana-3281	151	21	of	of	ADP
cana-3281	151	22	the	the	DET
cana-3281	151	23	input	input	NOUN
cana-3281	151	24	sketch	sketch	NOUN
cana-3281	151	25	.	.	PUNCT
cana-3281	152	1	this	this	PRON
cana-3281	152	2	is	be	AUX
cana-3281	152	3	particularly	particularly	ADV
cana-3281	152	4	useful	useful	ADJ
cana-3281	152	5	in	in	ADP
cana-3281	152	6	applications	application	NOUN
cana-3281	152	7	involving	involve	VERB
cana-3281	152	8	design	design	NOUN
cana-3281	152	9	and	and	CCONJ
cana-3281	152	10	visualization	visualization	NOUN
cana-3281	152	11	.	.	PUNCT
cana-3281	153	1	●	●	PUNCT
cana-3281	153	2	u	u	NOUN
cana-3281	153	3	-	-	ADJ
cana-3281	153	4	net	net	ADJ
cana-3281	153	5	generator	generator	NOUN
cana-3281	153	6	:	:	PUNCT
cana-3281	153	7	the	the	DET
cana-3281	153	8	u	u	ADJ
cana-3281	153	9	-	-	ADJ
cana-3281	153	10	net	net	ADJ
cana-3281	153	11	architecture	architecture	NOUN
cana-3281	153	12	is	be	AUX
cana-3281	153	13	employed	employ	VERB
cana-3281	153	14	for	for	ADP
cana-3281	153	15	its	its	PRON
cana-3281	153	16	efficacy	efficacy	NOUN
cana-3281	153	17	in	in	ADP
cana-3281	153	18	image	image	NOUN
cana-3281	153	19	-	-	PUNCT
cana-3281	153	20	to	to	ADP
cana-3281	153	21	-	-	PUNCT
cana-3281	153	22	image	image	NOUN
cana-3281	153	23	translation	translation	NOUN
cana-3281	153	24	tasks	task	NOUN
cana-3281	153	25	,	,	PUNCT
cana-3281	153	26	characterized	characterize	VERB
cana-3281	153	27	by	by	ADP
cana-3281	153	28	its	its	PRON
cana-3281	153	29	encoder	encoder	NOUN
cana-3281	153	30	-	-	PUNCT
cana-3281	153	31	decoder	decoder	NOUN
cana-3281	153	32	structure	structure	NOUN
cana-3281	153	33	with	with	ADP
cana-3281	153	34	skip	skip	ADJ
cana-3281	153	35	connections	connection	NOUN
cana-3281	153	36	.	.	PUNCT
cana-3281	154	1	these	these	DET
cana-3281	154	2	connections	connection	NOUN
cana-3281	154	3	establish	establish	VERB
cana-3281	154	4	a	a	DET
cana-3281	154	5	correspondence	correspondence	NOUN
cana-3281	154	6	between	between	ADP
cana-3281	154	7	the	the	DET
cana-3281	154	8	layers	layer	NOUN
cana-3281	154	9	in	in	ADP
cana-3281	154	10	the	the	DET
cana-3281	154	11	encoder	encoder	NOUN
cana-3281	154	12	and	and	CCONJ
cana-3281	154	13	the	the	DET
cana-3281	154	14	decoder	decoder	NOUN
cana-3281	154	15	,	,	PUNCT
cana-3281	154	16	thereby	thereby	ADV
cana-3281	154	17	enabling	enable	VERB
cana-3281	154	18	the	the	DET
cana-3281	154	19	preservation	preservation	NOUN
cana-3281	154	20	of	of	ADP
cana-3281	154	21	intricate	intricate	ADJ
cana-3281	154	22	details	detail	NOUN
cana-3281	154	23	throughout	throughout	ADP
cana-3281	154	24	the	the	DET
cana-3281	154	25	network	network	NOUN
cana-3281	154	26	.	.	PUNCT
cana-3281	155	1	the	the	DET
cana-3281	155	2	encoder	encoder	NOUN
cana-3281	155	3	systematically	systematically	ADV
cana-3281	155	4	diminishes	diminish	VERB
cana-3281	155	5	the	the	DET
cana-3281	155	6	spatial	spatial	ADJ
cana-3281	155	7	dimensions	dimension	NOUN
cana-3281	155	8	of	of	ADP
cana-3281	155	9	the	the	DET
cana-3281	155	10	image	image	NOUN
cana-3281	155	11	as	as	SCONJ
cana-3281	155	12	it	it	PRON
cana-3281	155	13	simultaneously	simultaneously	ADV
cana-3281	155	14	augments	augment	VERB
cana-3281	155	15	the	the	DET
cana-3281	155	16	depth	depth	NOUN
cana-3281	155	17	,	,	PUNCT
cana-3281	155	18	effectively	effectively	ADV
cana-3281	155	19	capturing	capture	VERB
cana-3281	155	20	high	high	ADJ
cana-3281	155	21	-	-	PUNCT
cana-3281	155	22	level	level	NOUN
cana-3281	155	23	abstract	abstract	ADJ
cana-3281	155	24	features	feature	NOUN
cana-3281	155	25	.	.	PUNCT
cana-3281	156	1	conversely	conversely	ADV
cana-3281	156	2	,	,	PUNCT
cana-3281	156	3	the	the	DET
cana-3281	156	4	decoder	decoder	NOUN
cana-3281	156	5	reconstructs	reconstruct	VERB
cana-3281	156	6	the	the	DET
cana-3281	156	7	detailed	detailed	ADJ
cana-3281	156	8	image	image	NOUN
cana-3281	156	9	from	from	ADP
cana-3281	156	10	the	the	DET
cana-3281	156	11	condensed	condense	VERB
cana-3281	156	12	feature	feature	NOUN
cana-3281	156	13	representations	representation	NOUN
cana-3281	156	14	,	,	PUNCT
cana-3281	156	15	utilizing	utilize	VERB
cana-3281	156	16	the	the	DET
cana-3281	156	17	skip	skip	ADJ
cana-3281	156	18	connections	connection	NOUN
cana-3281	156	19	to	to	PART
cana-3281	156	20	incorporate	incorporate	VERB
cana-3281	156	21	both	both	PRON
cana-3281	156	22	low	low	ADJ
cana-3281	156	23	-	-	PUNCT
cana-3281	156	24	level	level	NOUN
cana-3281	156	25	and	and	CCONJ
cana-3281	156	26	high	high	ADJ
cana-3281	156	27	-	-	PUNCT
cana-3281	156	28	level	level	NOUN
cana-3281	156	29	information	information	NOUN
cana-3281	156	30	.	.	PUNCT
cana-3281	157	1	●	●	PUNCT
cana-3281	157	2	patchgan	patchgan	ADJ
cana-3281	157	3	discriminator	discriminator	NOUN
cana-3281	157	4	:	:	PUNCT
cana-3281	157	5	unlike	unlike	ADP
cana-3281	157	6	a	a	DET
cana-3281	157	7	full	full	ADJ
cana-3281	157	8	-	-	PUNCT
cana-3281	157	9	image	image	NOUN
cana-3281	157	10	discriminator	discriminator	NOUN
cana-3281	157	11	,	,	PUNCT
cana-3281	157	12	the	the	DET
cana-3281	157	13	patchgan	patchgan	ADJ
cana-3281	157	14	discriminator	discriminator	NOUN
cana-3281	157	15	assesses	assesse	NOUN
cana-3281	157	16	patches	patch	NOUN
cana-3281	157	17	of	of	ADP
cana-3281	157	18	the	the	DET
cana-3281	157	19	image	image	NOUN
cana-3281	157	20	,	,	PUNCT
cana-3281	157	21	determining	determine	VERB
cana-3281	157	22	if	if	SCONJ
cana-3281	157	23	each	each	DET
cana-3281	157	24	patch	patch	NOUN
cana-3281	157	25	is	be	AUX
cana-3281	157	26	real	real	ADJ
cana-3281	157	27	or	or	CCONJ
cana-3281	157	28	fake	fake	ADJ
cana-3281	157	29	.	.	PUNCT
cana-3281	158	1	this	this	DET
cana-3281	158	2	method	method	NOUN
cana-3281	158	3	demonstrates	demonstrate	VERB
cana-3281	158	4	greater	great	ADJ
cana-3281	158	5	efficiency	efficiency	NOUN
cana-3281	158	6	and	and	CCONJ
cana-3281	158	7	effectiveness	effectiveness	NOUN
cana-3281	158	8	in	in	ADP
cana-3281	158	9	ensuring	ensure	VERB
cana-3281	158	10	local	local	ADJ
cana-3281	158	11	realism	realism	NOUN
cana-3281	158	12	,	,	PUNCT
cana-3281	158	13	which	which	PRON
cana-3281	158	14	is	be	AUX
cana-3281	158	15	essential	essential	ADJ
cana-3281	158	16	when	when	SCONJ
cana-3281	158	17	precise	precise	ADJ
cana-3281	158	18	details	detail	NOUN
cana-3281	158	19	communications	communication	NOUN
cana-3281	158	20	on	on	ADP
cana-3281	158	21	applied	apply	VERB
cana-3281	158	22	nonlinear	nonlinear	ADJ
cana-3281	158	23	analysis	analysis	NOUN
cana-3281	158	24	issn	issn	NOUN
cana-3281	158	25	:	:	PUNCT
cana-3281	158	26	1074	1074	NUM
cana-3281	158	27	-	-	PUNCT
cana-3281	158	28	133x	133x	NUM
cana-3281	158	29	vol	vol	NOUN
cana-3281	158	30	32	32	NUM
cana-3281	158	31	no	no	NOUN
cana-3281	158	32	.	.	PUNCT
cana-3281	159	1	6s	6s	NUM
cana-3281	159	2	(	(	PUNCT
cana-3281	159	3	2025	2025	NUM
cana-3281	159	4	)	)	PUNCT
cana-3281	159	5	141	141	NUM
cana-3281	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	159	7	and	and	CCONJ
cana-3281	159	8	textures	texture	NOUN
cana-3281	159	9	are	be	AUX
cana-3281	159	10	crucial	crucial	ADJ
cana-3281	159	11	.	.	PUNCT
cana-3281	160	1	by	by	ADP
cana-3281	160	2	prioritizing	prioritize	VERB
cana-3281	160	3	smaller	small	ADJ
cana-3281	160	4	sections	section	NOUN
cana-3281	160	5	of	of	ADP
cana-3281	160	6	the	the	DET
cana-3281	160	7	image	image	NOUN
cana-3281	160	8	,	,	PUNCT
cana-3281	160	9	the	the	DET
cana-3281	160	10	patchgan	patchgan	NOUN
cana-3281	160	11	enables	enable	VERB
cana-3281	160	12	a	a	DET
cana-3281	160	13	more	more	ADV
cana-3281	160	14	precise	precise	ADJ
cana-3281	160	15	manipulation	manipulation	NOUN
cana-3281	160	16	of	of	ADP
cana-3281	160	17	texture	texture	NOUN
cana-3281	160	18	and	and	CCONJ
cana-3281	160	19	detail	detail	NOUN
cana-3281	160	20	in	in	ADP
cana-3281	160	21	the	the	DET
cana-3281	160	22	sketch	sketch	ADJ
cana-3281	160	23	output	output	NOUN
cana-3281	160	24	.	.	PUNCT
cana-3281	161	1	this	this	DET
cana-3281	161	2	approach	approach	NOUN
cana-3281	161	3	enhances	enhance	VERB
cana-3281	161	4	the	the	DET
cana-3281	161	5	discrimination	discrimination	NOUN
cana-3281	161	6	process	process	NOUN
cana-3281	161	7	,	,	PUNCT
cana-3281	161	8	allowing	allow	VERB
cana-3281	161	9	for	for	ADP
cana-3281	161	10	a	a	DET
cana-3281	161	11	more	more	ADV
cana-3281	161	12	nuanced	nuanced	ADJ
cana-3281	161	13	and	and	CCONJ
cana-3281	161	14	sensitive	sensitive	ADJ
cana-3281	161	15	evaluation	evaluation	NOUN
cana-3281	161	16	of	of	ADP
cana-3281	161	17	the	the	DET
cana-3281	161	18	quality	quality	NOUN
cana-3281	161	19	of	of	ADP
cana-3281	161	20	the	the	DET
cana-3281	161	21	sketch	sketch	NOUN
cana-3281	161	22	.	.	PUNCT
cana-3281	162	1	●	●	PUNCT
cana-3281	162	2	training	training	NOUN
cana-3281	162	3	details	detail	NOUN
cana-3281	162	4	:	:	PUNCT
cana-3281	162	5	the	the	DET
cana-3281	162	6	adversarial	adversarial	ADJ
cana-3281	162	7	training	training	NOUN
cana-3281	162	8	setup	setup	NOUN
cana-3281	162	9	involves	involve	VERB
cana-3281	162	10	the	the	DET
cana-3281	162	11	generator	generator	NOUN
cana-3281	162	12	attempting	attempt	VERB
cana-3281	162	13	to	to	PART
cana-3281	162	14	deceive	deceive	VERB
cana-3281	162	15	the	the	DET
cana-3281	162	16	discriminator	discriminator	NOUN
cana-3281	162	17	by	by	ADP
cana-3281	162	18	generating	generate	VERB
cana-3281	162	19	sketches	sketch	NOUN
cana-3281	162	20	that	that	PRON
cana-3281	162	21	become	become	VERB
cana-3281	162	22	progressively	progressively	ADV
cana-3281	162	23	more	more	ADV
cana-3281	162	24	realistic	realistic	ADJ
cana-3281	162	25	,	,	PUNCT
cana-3281	162	26	while	while	SCONJ
cana-3281	162	27	the	the	DET
cana-3281	162	28	discriminator	discriminator	NOUN
cana-3281	162	29	concurrently	concurrently	ADV
cana-3281	162	30	learns	learn	VERB
cana-3281	162	31	to	to	PART
cana-3281	162	32	differentiate	differentiate	VERB
cana-3281	162	33	between	between	ADP
cana-3281	162	34	the	the	DET
cana-3281	162	35	generated	generate	VERB
cana-3281	162	36	sketches	sketch	NOUN
cana-3281	162	37	and	and	CCONJ
cana-3281	162	38	authentic	authentic	ADJ
cana-3281	162	39	input	input	NOUN
cana-3281	162	40	sketches	sketch	NOUN
cana-3281	162	41	.	.	PUNCT
cana-3281	163	1	this	this	DET
cana-3281	163	2	dynamic	dynamic	NOUN
cana-3281	163	3	improves	improve	VERB
cana-3281	163	4	over	over	ADP
cana-3281	163	5	iterations	iteration	NOUN
cana-3281	163	6	,	,	PUNCT
cana-3281	163	7	leading	lead	VERB
cana-3281	163	8	to	to	ADP
cana-3281	163	9	high	high	ADJ
cana-3281	163	10	-	-	PUNCT
cana-3281	163	11	fidelity	fidelity	NOUN
cana-3281	163	12	sketch	sketch	NOUN
cana-3281	163	13	outputs	output	NOUN
cana-3281	163	14	.	.	PUNCT
cana-3281	164	1	the	the	DET
cana-3281	164	2	training	training	NOUN
cana-3281	164	3	methodology	methodology	NOUN
cana-3281	164	4	employed	employ	VERB
cana-3281	164	5	in	in	ADP
cana-3281	164	6	this	this	DET
cana-3281	164	7	study	study	NOUN
cana-3281	164	8	incorporates	incorporate	VERB
cana-3281	164	9	a	a	DET
cana-3281	164	10	hybrid	hybrid	ADJ
cana-3281	164	11	objective	objective	NOUN
cana-3281	164	12	that	that	PRON
cana-3281	164	13	integrates	integrate	VERB
cana-3281	164	14	both	both	CCONJ
cana-3281	164	15	adversarial	adversarial	ADJ
cana-3281	164	16	loss	loss	NOUN
cana-3281	164	17	and	and	CCONJ
cana-3281	164	18	l1	l1	PROPN
cana-3281	164	19	loss	loss	NOUN
cana-3281	164	20	.	.	PUNCT
cana-3281	165	1	the	the	DET
cana-3281	165	2	adversarial	adversarial	ADJ
cana-3281	165	3	loss	loss	NOUN
cana-3281	165	4	component	component	NOUN
cana-3281	165	5	incentivizes	incentivize	VERB
cana-3281	165	6	the	the	DET
cana-3281	165	7	network	network	NOUN
cana-3281	165	8	to	to	PART
cana-3281	165	9	produce	produce	VERB
cana-3281	165	10	realistic	realistic	ADJ
cana-3281	165	11	sketches	sketch	NOUN
cana-3281	165	12	,	,	PUNCT
cana-3281	165	13	while	while	SCONJ
cana-3281	165	14	the	the	DET
cana-3281	165	15	l1	l1	PROPN
cana-3281	165	16	loss	loss	NOUN
cana-3281	165	17	component	component	NOUN
cana-3281	165	18	ensures	ensure	VERB
cana-3281	165	19	that	that	SCONJ
cana-3281	165	20	the	the	DET
cana-3281	165	21	generated	generate	VERB
cana-3281	165	22	sketches	sketch	NOUN
cana-3281	165	23	maintain	maintain	VERB
cana-3281	165	24	structural	structural	ADJ
cana-3281	165	25	fidelity	fidelity	NOUN
cana-3281	165	26	to	to	ADP
cana-3281	165	27	the	the	DET
cana-3281	165	28	target	target	NOUN
cana-3281	165	29	sketches	sketch	NOUN
cana-3281	165	30	.	.	PUNCT
cana-3281	166	1	furthermore	furthermore	ADV
cana-3281	166	2	,	,	PUNCT
cana-3281	166	3	two	two	NUM
cana-3281	166	4	br	br	NOUN
cana-3281	166	5	tags	tag	NOUN
cana-3281	166	6	are	be	AUX
cana-3281	166	7	included	include	VERB
cana-3281	166	8	in	in	ADP
cana-3281	166	9	the	the	DET
cana-3281	166	10	text	text	NOUN
cana-3281	166	11	to	to	PART
cana-3281	166	12	indicate	indicate	VERB
cana-3281	166	13	where	where	SCONJ
cana-3281	166	14	line	line	NOUN
cana-3281	166	15	breaks	break	NOUN
cana-3281	166	16	have	have	AUX
cana-3281	166	17	been	be	AUX
cana-3281	166	18	added	add	VERB
cana-3281	166	19	for	for	ADP
cana-3281	166	20	clarity	clarity	NOUN
cana-3281	166	21	.	.	PUNCT
cana-3281	167	1	figure	figure	NOUN
cana-3281	167	2	2	2	NUM
cana-3281	167	3	and	and	CCONJ
cana-3281	167	4	figure	figure	VERB
cana-3281	167	5	3	3	NUM
cana-3281	167	6	depict	depict	VERB
cana-3281	167	7	the	the	DET
cana-3281	167	8	downsampler	downsampler	NOUN
cana-3281	167	9	and	and	CCONJ
cana-3281	167	10	upsampler	upsampler	ADJ
cana-3281	167	11	components	component	NOUN
cana-3281	167	12	of	of	ADP
cana-3281	167	13	the	the	DET
cana-3281	167	14	generators	generator	NOUN
cana-3281	167	15	respectively	respectively	ADV
cana-3281	167	16	.	.	PUNCT
cana-3281	168	1	figure	figure	NOUN
cana-3281	168	2	4	4	NUM
cana-3281	168	3	illustrates	illustrate	VERB
cana-3281	168	4	the	the	DET
cana-3281	168	5	discriminator	discriminator	NOUN
cana-3281	168	6	.	.	PUNCT
cana-3281	169	1	the	the	DET
cana-3281	169	2	corresponding	corresponding	ADJ
cana-3281	169	3	rows	row	NOUN
cana-3281	169	4	in	in	ADP
cana-3281	169	5	the	the	DET
cana-3281	169	6	downsampler	downsampler	NOUN
cana-3281	169	7	and	and	CCONJ
cana-3281	169	8	upsampler	upsampler	NOUN
cana-3281	169	9	sharing	share	VERB
cana-3281	169	10	the	the	DET
cana-3281	169	11	same	same	ADJ
cana-3281	169	12	color	color	NOUN
cana-3281	169	13	are	be	AUX
cana-3281	169	14	interconnected	interconnect	VERB
cana-3281	169	15	.	.	PUNCT
cana-3281	170	1	sketch	sketch	PROPN
cana-3281	170	2	gan	gan	PROPN
cana-3281	170	3	loss	loss	NOUN
cana-3281	170	4	function	function	NOUN
cana-3281	170	5	components	component	NOUN
cana-3281	170	6	:	:	PUNCT
cana-3281	170	7	the	the	DET
cana-3281	170	8	total	total	ADJ
cana-3281	170	9	loss	loss	NOUN
cana-3281	170	10	for	for	ADP
cana-3281	170	11	the	the	DET
cana-3281	170	12	sketch	sketch	ADJ
cana-3281	170	13	gan	gan	PROPN
cana-3281	170	14	consists	consist	VERB
cana-3281	170	15	of	of	ADP
cana-3281	170	16	two	two	NUM
cana-3281	170	17	main	main	ADJ
cana-3281	170	18	components	component	NOUN
cana-3281	170	19	:	:	PUNCT
cana-3281	170	20	the	the	DET
cana-3281	170	21	adversarial	adversarial	ADJ
cana-3281	170	22	loss	loss	NOUN
cana-3281	170	23	and	and	CCONJ
cana-3281	170	24	the	the	DET
cana-3281	170	25	l1	l1	PROPN
cana-3281	170	26	loss	loss	NOUN
cana-3281	170	27	.	.	PUNCT
cana-3281	171	1	by	by	ADP
cana-3281	171	2	breaking	break	VERB
cana-3281	171	3	these	these	PRON
cana-3281	171	4	down	down	ADP
cana-3281	171	5	into	into	ADP
cana-3281	171	6	more	more	ADV
cana-3281	171	7	manageable	manageable	ADJ
cana-3281	171	8	equations	equation	NOUN
cana-3281	171	9	,	,	PUNCT
cana-3281	171	10	we	we	PRON
cana-3281	171	11	can	can	AUX
cana-3281	171	12	explore	explore	VERB
cana-3281	171	13	how	how	SCONJ
cana-3281	171	14	each	each	PRON
cana-3281	171	15	contributes	contribute	VERB
cana-3281	171	16	to	to	ADP
cana-3281	171	17	the	the	DET
cana-3281	171	18	training	training	NOUN
cana-3281	171	19	process	process	NOUN
cana-3281	171	20	.	.	PUNCT
cana-3281	172	1	1	1	X
cana-3281	172	2	.	.	X
cana-3281	172	3	adversarial	adversarial	ADJ
cana-3281	172	4	loss	loss	NOUN
cana-3281	172	5	:	:	PUNCT
cana-3281	172	6	this	this	DET
cana-3281	172	7	component	component	NOUN
cana-3281	172	8	of	of	ADP
cana-3281	172	9	the	the	DET
cana-3281	172	10	loss	loss	NOUN
cana-3281	172	11	function	function	NOUN
cana-3281	172	12	assesses	assess	VERB
cana-3281	172	13	the	the	DET
cana-3281	172	14	effectiveness	effectiveness	NOUN
cana-3281	172	15	of	of	ADP
cana-3281	172	16	the	the	DET
cana-3281	172	17	generator	generator	NOUN
cana-3281	172	18	in	in	ADP
cana-3281	172	19	deceiving	deceive	VERB
cana-3281	172	20	the	the	DET
cana-3281	172	21	discriminator	discriminator	NOUN
cana-3281	172	22	into	into	ADP
cana-3281	172	23	categorizing	categorize	VERB
cana-3281	172	24	the	the	DET
cana-3281	172	25	generated	generate	VERB
cana-3281	172	26	images	image	NOUN
cana-3281	172	27	(	(	PUNCT
cana-3281	172	28	fake	fake	ADJ
cana-3281	172	29	sketches	sketch	NOUN
cana-3281	172	30	)	)	PUNCT
cana-3281	172	31	as	as	ADP
cana-3281	172	32	authentic	authentic	ADJ
cana-3281	172	33	.	.	PUNCT
cana-3281	173	1	lgan	lgan	VERB
cana-3281	173	2	g	g	PROPN
cana-3281	173	3	=	=	SYM
cana-3281	173	4	ex	ex	X
cana-3281	173	5	,	,	PUNCT
cana-3281	173	6	z[log(1	z[log(1	PROPN
cana-3281	173	7	−	−	PROPN
cana-3281	173	8	d(x	d(x	PROPN
cana-3281	173	9	,	,	PUNCT
cana-3281	173	10	g(x	g(x	NOUN
cana-3281	173	11	,	,	PUNCT
cana-3281	173	12	z	z	NOUN
cana-3281	173	13	)	)	PUNCT
cana-3281	173	14	)	)	PUNCT
cana-3281	173	15	)	)	PUNCT
cana-3281	173	16	]	]	PUNCT
cana-3281	174	1	(	(	PUNCT
cana-3281	174	2	2	2	X
cana-3281	174	3	)	)	PUNCT
cana-3281	174	4	lgan	lgan	NOUN
cana-3281	174	5	d	d	NOUN
cana-3281	174	6	=	=	SYM
cana-3281	174	7	ex	ex	PROPN
cana-3281	174	8	,	,	PUNCT
cana-3281	174	9	y[log	y[log	NOUN
cana-3281	174	10	d(x	d(x	PROPN
cana-3281	174	11	,	,	PUNCT
cana-3281	174	12	y	y	PROPN
cana-3281	174	13	)	)	PUNCT
cana-3281	174	14	]	]	PUNCT
cana-3281	174	15	(	(	PUNCT
cana-3281	174	16	3	3	X
cana-3281	174	17	)	)	PUNCT
cana-3281	174	18	equation	equation	NOUN
cana-3281	174	19	3	3	NUM
cana-3281	174	20	is	be	AUX
cana-3281	174	21	the	the	DET
cana-3281	174	22	discriminator	discriminator	NOUN
cana-3281	174	23	loss	loss	NOUN
cana-3281	174	24	,	,	PUNCT
cana-3281	174	25	and	and	CCONJ
cana-3281	174	26	equation	equation	NOUN
cana-3281	174	27	2	2	NUM
cana-3281	174	28	is	be	AUX
cana-3281	174	29	the	the	DET
cana-3281	174	30	generator	generator	NOUN
cana-3281	174	31	's	's	PART
cana-3281	174	32	adversarial	adversarial	ADJ
cana-3281	174	33	loss	loss	NOUN
cana-3281	174	34	.	.	PUNCT
cana-3281	175	1	given	give	VERB
cana-3281	175	2	an	an	DET
cana-3281	175	3	image	image	NOUN
cana-3281	175	4	(	(	PUNCT
cana-3281	175	5	x	x	NOUN
cana-3281	175	6	)	)	PUNCT
cana-3281	175	7	and	and	CCONJ
cana-3281	175	8	a	a	DET
cana-3281	175	9	noise	noise	NOUN
cana-3281	175	10	vector	vector	NOUN
cana-3281	175	11	(	(	PUNCT
cana-3281	175	12	z	z	NOUN
cana-3281	175	13	)	)	PUNCT
cana-3281	175	14	,	,	PUNCT
cana-3281	175	15	the	the	DET
cana-3281	175	16	generator	generator	NOUN
cana-3281	175	17	's	's	PART
cana-3281	175	18	output	output	NOUN
cana-3281	175	19	is	be	AUX
cana-3281	175	20	denoted	denote	VERB
cana-3281	175	21	as	as	ADP
cana-3281	175	22	g(x	g(x	NOUN
cana-3281	175	23	,	,	PUNCT
cana-3281	175	24	z	z	NOUN
cana-3281	175	25	)	)	PUNCT
cana-3281	175	26	.	.	PUNCT
cana-3281	176	1	the	the	DET
cana-3281	176	2	discriminator	discriminator	NOUN
cana-3281	176	3	's	's	PART
cana-3281	176	4	estimate	estimate	NOUN
cana-3281	176	5	of	of	ADP
cana-3281	176	6	the	the	DET
cana-3281	176	7	likelihood	likelihood	NOUN
cana-3281	176	8	that	that	SCONJ
cana-3281	176	9	a	a	DET
cana-3281	176	10	particular	particular	ADJ
cana-3281	176	11	pair	pair	NOUN
cana-3281	176	12	of	of	ADP
cana-3281	176	13	pictures	picture	NOUN
cana-3281	176	14	,	,	PUNCT
cana-3281	176	15	"	"	PUNCT
cana-3281	176	16	x	x	NOUN
cana-3281	176	17	"	"	PUNCT
cana-3281	176	18	and	and	CCONJ
cana-3281	176	19	"	"	PUNCT
cana-3281	176	20	y	y	PROPN
cana-3281	176	21	,	,	PUNCT
cana-3281	176	22	"	"	PUNCT
cana-3281	176	23	are	be	AUX
cana-3281	176	24	real	real	ADJ
cana-3281	176	25	is	be	AUX
cana-3281	176	26	d(x	d(x	PROPN
cana-3281	176	27	,	,	PUNCT
cana-3281	176	28	y	y	NOUN
cana-3281	176	29	)	)	PUNCT
cana-3281	176	30	.	.	PUNCT
cana-3281	177	1	by	by	ADP
cana-3281	177	2	tricking	trick	VERB
cana-3281	177	3	d	d	PROPN
cana-3281	177	4	,	,	PUNCT
cana-3281	177	5	the	the	DET
cana-3281	177	6	generator	generator	NOUN
cana-3281	177	7	g	g	PROPN
cana-3281	177	8	seeks	seek	VERB
cana-3281	177	9	to	to	PART
cana-3281	177	10	maximise	maximise	VERB
cana-3281	177	11	the	the	DET
cana-3281	177	12	term	term	NOUN
cana-3281	177	13	.	.	PUNCT
cana-3281	178	1	the	the	DET
cana-3281	178	2	discriminator	discriminator	NOUN
cana-3281	178	3	's	's	PART
cana-3281	178	4	capacity	capacity	NOUN
cana-3281	178	5	to	to	PART
cana-3281	178	6	correctly	correctly	ADV
cana-3281	178	7	recognise	recognise	VERB
cana-3281	178	8	real	real	ADJ
cana-3281	178	9	pairs	pair	NOUN
cana-3281	178	10	(	(	PUNCT
cana-3281	178	11	x	x	X
cana-3281	178	12	,	,	PUNCT
cana-3281	178	13	y	y	PROPN
cana-3281	178	14	)	)	PUNCT
cana-3281	178	15	,	,	PUNCT
cana-3281	178	16	where	where	SCONJ
cana-3281	178	17	"	"	PUNCT
cana-3281	178	18	y	y	NOUN
cana-3281	178	19	"	"	PUNCT
cana-3281	178	20	is	be	AUX
cana-3281	178	21	the	the	DET
cana-3281	178	22	actual	actual	ADJ
cana-3281	178	23	sketch	sketch	NOUN
cana-3281	178	24	that	that	PRON
cana-3281	178	25	corresponds	correspond	VERB
cana-3281	178	26	to	to	ADP
cana-3281	178	27	"	"	PUNCT
cana-3281	178	28	x	x	INTJ
cana-3281	178	29	,	,	PUNCT
cana-3281	178	30	"	"	PUNCT
cana-3281	178	31	is	be	AUX
cana-3281	178	32	measured	measure	VERB
cana-3281	178	33	by	by	ADP
cana-3281	178	34	equation	equation	NOUN
cana-3281	178	35	3	3	NUM
cana-3281	178	36	.	.	NOUN
cana-3281	178	37	2	2	NUM
cana-3281	178	38	.	.	X
cana-3281	178	39	l1	l1	PROPN
cana-3281	178	40	loss	loss	PROPN
cana-3281	178	41	:	:	PUNCT
cana-3281	178	42	with	with	ADP
cana-3281	178	43	an	an	DET
cana-3281	178	44	emphasis	emphasis	NOUN
cana-3281	178	45	on	on	ADP
cana-3281	178	46	minimising	minimise	VERB
cana-3281	178	47	the	the	DET
cana-3281	178	48	pixel	pixel	ADJ
cana-3281	178	49	-	-	ADJ
cana-3281	178	50	wise	wise	ADJ
cana-3281	178	51	absolute	absolute	ADJ
cana-3281	178	52	difference	difference	NOUN
cana-3281	178	53	,	,	PUNCT
cana-3281	178	54	this	this	DET
cana-3281	178	55	part	part	NOUN
cana-3281	178	56	of	of	ADP
cana-3281	178	57	the	the	DET
cana-3281	178	58	loss	loss	NOUN
cana-3281	178	59	function	function	NOUN
cana-3281	178	60	is	be	AUX
cana-3281	178	61	essential	essential	ADJ
cana-3281	178	62	for	for	ADP
cana-3281	178	63	guaranteeing	guarantee	VERB
cana-3281	178	64	the	the	DET
cana-3281	178	65	structural	structural	ADJ
cana-3281	178	66	similarity	similarity	NOUN
cana-3281	178	67	between	between	ADP
cana-3281	178	68	the	the	DET
cana-3281	178	69	created	create	VERB
cana-3281	178	70	sketch	sketch	NOUN
cana-3281	178	71	and	and	CCONJ
cana-3281	178	72	the	the	DET
cana-3281	178	73	target	target	NOUN
cana-3281	178	74	sketch	sketch	NOUN
cana-3281	178	75	.	.	PUNCT
cana-3281	179	1	communications	communication	NOUN
cana-3281	179	2	on	on	ADP
cana-3281	179	3	applied	apply	VERB
cana-3281	179	4	nonlinear	nonlinear	ADJ
cana-3281	179	5	analysis	analysis	NOUN
cana-3281	179	6	issn	issn	NOUN
cana-3281	179	7	:	:	PUNCT
cana-3281	179	8	1074	1074	NUM
cana-3281	179	9	-	-	PUNCT
cana-3281	179	10	133x	133x	NUM
cana-3281	179	11	vol	vol	NOUN
cana-3281	179	12	32	32	NUM
cana-3281	179	13	no	no	NOUN
cana-3281	179	14	.	.	PUNCT
cana-3281	180	1	6s	6s	NUM
cana-3281	180	2	(	(	PUNCT
cana-3281	180	3	2025	2025	NUM
cana-3281	180	4	)	)	PUNCT
cana-3281	180	5	142	142	NUM
cana-3281	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	180	7	fig	fig	NOUN
cana-3281	180	8	.	.	PUNCT
cana-3281	181	1	2	2	NUM
cana-3281	181	2	:	:	PUNCT
cana-3281	181	3	down	down	ADV
cana-3281	181	4	-	-	PUNCT
cana-3281	181	5	sampling	sample	VERB
cana-3281	181	6	process	process	NOUN
cana-3281	181	7	in	in	ADP
cana-3281	181	8	gan	gan	ADJ
cana-3281	181	9	image	image	NOUN
cana-3281	181	10	generation	generation	NOUN
cana-3281	181	11	pipeline	pipeline	NOUN
cana-3281	181	12	ll1	ll1	ADV
cana-3281	181	13	=	=	SYM
cana-3281	181	14	λex	λex	PROPN
cana-3281	181	15	,	,	PUNCT
cana-3281	181	16	y	y	PROPN
cana-3281	181	17	,	,	PUNCT
cana-3281	181	18	z[||y	z[||y	PROPN
cana-3281	181	19	−	−	PROPN
cana-3281	181	20	g(x	g(x	PROPN
cana-3281	181	21	,	,	PUNCT
cana-3281	181	22	z)||1	z)||1	PROPN
cana-3281	181	23	]	]	PUNCT
cana-3281	181	24	(	(	PUNCT
cana-3281	181	25	4	4	X
cana-3281	181	26	)	)	PUNCT
cana-3281	181	27	equation	equation	NOUN
cana-3281	181	28	4	4	NUM
cana-3281	181	29	use	use	VERB
cana-3281	181	30	λ	λ	PROPN
cana-3281	181	31	as	as	ADP
cana-3281	181	32	a	a	DET
cana-3281	181	33	hyperparameter	hyperparameter	NOUN
cana-3281	181	34	to	to	PART
cana-3281	181	35	maintain	maintain	VERB
cana-3281	181	36	equilibrium	equilibrium	NOUN
cana-3281	181	37	between	between	ADP
cana-3281	181	38	the	the	DET
cana-3281	181	39	significance	significance	NOUN
cana-3281	181	40	of	of	ADP
cana-3281	181	41	the	the	DET
cana-3281	181	42	adversarial	adversarial	ADJ
cana-3281	181	43	loss	loss	NOUN
cana-3281	181	44	and	and	CCONJ
cana-3281	181	45	the	the	DET
cana-3281	181	46	l1	l1	PROPN
cana-3281	181	47	loss	loss	NOUN
cana-3281	181	48	.	.	PUNCT
cana-3281	182	1	this	this	DET
cana-3281	182	2	word	word	NOUN
cana-3281	182	3	guarantees	guarantee	VERB
cana-3281	182	4	that	that	SCONJ
cana-3281	182	5	the	the	DET
cana-3281	182	6	generated	generate	VERB
cana-3281	182	7	sketches	sketch	NOUN
cana-3281	182	8	closely	closely	ADV
cana-3281	182	9	match	match	VERB
cana-3281	182	10	the	the	DET
cana-3281	182	11	genuine	genuine	ADJ
cana-3281	182	12	sketches	sketch	NOUN
cana-3281	182	13	in	in	ADP
cana-3281	182	14	a	a	DET
cana-3281	182	15	structural	structural	ADJ
cana-3281	182	16	sense	sense	NOUN
cana-3281	182	17	,	,	PUNCT
cana-3281	182	18	in	in	ADP
cana-3281	182	19	addition	addition	NOUN
cana-3281	182	20	to	to	ADP
cana-3281	182	21	fooling	fool	VERB
cana-3281	182	22	the	the	DET
cana-3281	182	23	discriminator	discriminator	NOUN
cana-3281	182	24	.	.	PUNCT
cana-3281	183	1	sum	sum	NOUN
cana-3281	183	2	of	of	ADP
cana-3281	183	3	losses	loss	NOUN
cana-3281	183	4	for	for	ADP
cana-3281	183	5	sketch	sketch	ADJ
cana-3281	183	6	gan	gan	PROPN
cana-3281	183	7	equation	equation	NOUN
cana-3281	183	8	5	5	NUM
cana-3281	183	9	provides	provide	VERB
cana-3281	183	10	a	a	DET
cana-3281	183	11	concise	concise	ADJ
cana-3281	183	12	expression	expression	NOUN
cana-3281	183	13	of	of	ADP
cana-3281	183	14	the	the	DET
cana-3281	183	15	overall	overall	ADJ
cana-3281	183	16	loss	loss	NOUN
cana-3281	183	17	function	function	NOUN
cana-3281	183	18	for	for	ADP
cana-3281	183	19	the	the	DET
cana-3281	183	20	sketch	sketch	NOUN
cana-3281	183	21	gan	gan	PROPN
cana-3281	183	22	after	after	ADP
cana-3281	183	23	integrating	integrate	VERB
cana-3281	183	24	these	these	DET
cana-3281	183	25	components	component	NOUN
cana-3281	183	26	.	.	PUNCT
cana-3281	184	1	lsketchgan	lsketchgan	PROPN
cana-3281	184	2	=	=	NOUN
cana-3281	185	1	lgan	lgan	VERB
cana-3281	186	1	d	d	NOUN
cana-3281	186	2	−	−	NOUN
cana-3281	186	3	lgan	lgan	VERB
cana-3281	186	4	g	g	NOUN
cana-3281	186	5	+	+	CCONJ
cana-3281	186	6	ll1	ll1	ADV
cana-3281	186	7	(	(	PUNCT
cana-3281	186	8	5	5	NUM
cana-3281	186	9	)	)	PUNCT
cana-3281	186	10	equation	equation	NOUN
cana-3281	186	11	5	5	NUM
cana-3281	186	12	represents	represent	VERB
cana-3281	186	13	the	the	DET
cana-3281	186	14	adversarial	adversarial	ADJ
cana-3281	186	15	dynamics	dynamic	NOUN
cana-3281	186	16	of	of	ADP
cana-3281	186	17	the	the	DET
cana-3281	186	18	generator	generator	NOUN
cana-3281	186	19	and	and	CCONJ
cana-3281	186	20	discriminator	discriminator	NOUN
cana-3281	186	21	by	by	ADP
cana-3281	186	22	setting	set	VERB
cana-3281	186	23	their	their	PRON
cana-3281	186	24	adversarial	adversarial	ADJ
cana-3281	186	25	losses	loss	NOUN
cana-3281	186	26	in	in	ADP
cana-3281	186	27	opposition	opposition	NOUN
cana-3281	186	28	to	to	ADP
cana-3281	186	29	each	each	DET
cana-3281	186	30	other	other	ADJ
cana-3281	186	31	.	.	PUNCT
cana-3281	187	1	to	to	PART
cana-3281	187	2	guarantee	guarantee	VERB
cana-3281	187	3	excellent	excellent	ADJ
cana-3281	187	4	fidelity	fidelity	NOUN
cana-3281	187	5	to	to	ADP
cana-3281	187	6	the	the	DET
cana-3281	187	7	target	target	NOUN
cana-3281	187	8	sketches	sketch	NOUN
cana-3281	187	9	,	,	PUNCT
cana-3281	187	10	the	the	DET
cana-3281	187	11	l1	l1	PROPN
cana-3281	187	12	loss	loss	NOUN
cana-3281	187	13	is	be	AUX
cana-3281	187	14	added	add	VERB
cana-3281	187	15	.	.	PUNCT
cana-3281	188	1	the	the	DET
cana-3281	188	2	sketch	sketch	ADJ
cana-3281	188	3	gan	gan	PROPN
cana-3281	188	4	may	may	AUX
cana-3281	188	5	be	be	AUX
cana-3281	188	6	effectively	effectively	ADV
cana-3281	188	7	trained	train	VERB
cana-3281	188	8	thanks	thank	NOUN
cana-3281	188	9	to	to	ADP
cana-3281	188	10	this	this	DET
cana-3281	188	11	combination	combination	NOUN
cana-3281	188	12	of	of	ADP
cana-3281	188	13	losses	loss	NOUN
cana-3281	188	14	,	,	PUNCT
cana-3281	188	15	enabling	enable	VERB
cana-3281	188	16	it	it	PRON
cana-3281	188	17	to	to	PART
cana-3281	188	18	generate	generate	VERB
cana-3281	188	19	polished	polished	ADJ
cana-3281	188	20	drawings	drawing	NOUN
cana-3281	188	21	that	that	PRON
cana-3281	188	22	are	be	AUX
cana-3281	188	23	in	in	ADP
cana-3281	188	24	line	line	NOUN
cana-3281	188	25	with	with	ADP
cana-3281	188	26	user	user	NOUN
cana-3281	188	27	inputs	input	NOUN
cana-3281	188	28	both	both	CCONJ
cana-3281	188	29	structurally	structurally	ADV
cana-3281	188	30	and	and	CCONJ
cana-3281	188	31	realistically	realistically	ADV
cana-3281	188	32	.	.	PUNCT
cana-3281	189	1	communications	communication	NOUN
cana-3281	189	2	on	on	ADP
cana-3281	189	3	applied	apply	VERB
cana-3281	189	4	nonlinear	nonlinear	ADJ
cana-3281	189	5	analysis	analysis	NOUN
cana-3281	189	6	issn	issn	NOUN
cana-3281	189	7	:	:	PUNCT
cana-3281	189	8	1074	1074	NUM
cana-3281	189	9	-	-	PUNCT
cana-3281	189	10	133x	133x	NUM
cana-3281	189	11	vol	vol	NOUN
cana-3281	189	12	32	32	NUM
cana-3281	189	13	no	no	NOUN
cana-3281	189	14	.	.	PUNCT
cana-3281	190	1	6s	6s	NUM
cana-3281	190	2	(	(	PUNCT
cana-3281	190	3	2025	2025	NUM
cana-3281	190	4	)	)	PUNCT
cana-3281	190	5	143	143	NUM
cana-3281	190	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	190	7	fig	fig	NOUN
cana-3281	190	8	.	.	PUNCT
cana-3281	191	1	3	3	NUM
cana-3281	191	2	:	:	PUNCT
cana-3281	191	3	up	up	ADP
cana-3281	191	4	-	-	PUNCT
cana-3281	191	5	sampling	sample	VERB
cana-3281	191	6	process	process	NOUN
cana-3281	191	7	in	in	ADP
cana-3281	191	8	gan	gan	ADJ
cana-3281	191	9	image	image	NOUN
cana-3281	191	10	generation	generation	NOUN
cana-3281	191	11	pipeline	pipeline	NOUN
cana-3281	191	12	esrgan	esrgan	NOUN
cana-3281	191	13	for	for	ADP
cana-3281	191	14	super	super	NOUN
cana-3281	191	15	-	-	NOUN
cana-3281	191	16	resolution	resolution	NOUN
cana-3281	191	17	:	:	PUNCT
cana-3281	191	18	to	to	PART
cana-3281	191	19	stabilise	stabilise	VERB
cana-3281	191	20	training	training	NOUN
cana-3281	191	21	and	and	CCONJ
cana-3281	191	22	improve	improve	VERB
cana-3281	191	23	detail	detail	NOUN
cana-3281	191	24	fidelity	fidelity	NOUN
cana-3281	191	25	,	,	PUNCT
cana-3281	191	26	the	the	DET
cana-3281	191	27	esrgan	esrgan	NOUN
cana-3281	191	28	architecture	architecture	NOUN
cana-3281	191	29	introduces	introduce	VERB
cana-3281	191	30	the	the	DET
cana-3281	191	31	following	follow	VERB
cana-3281	191	32	new	new	ADJ
cana-3281	191	33	features	feature	NOUN
cana-3281	191	34	:	:	PUNCT
cana-3281	191	35	residual	residual	ADJ
cana-3281	191	36	-	-	PUNCT
cana-3281	191	37	in	in	ADP
cana-3281	191	38	-	-	PUNCT
cana-3281	191	39	residual	residual	ADJ
cana-3281	191	40	dense	dense	ADJ
cana-3281	191	41	block	block	NOUN
cana-3281	191	42	(	(	PUNCT
cana-3281	191	43	rrdb	rrdb	PROPN
cana-3281	191	44	):	):	PUNCT
cana-3281	191	45	these	these	DET
cana-3281	191	46	blocks	block	NOUN
cana-3281	191	47	are	be	AUX
cana-3281	191	48	utilised	utilise	VERB
cana-3281	191	49	in	in	ADP
cana-3281	191	50	place	place	NOUN
cana-3281	191	51	of	of	ADP
cana-3281	191	52	simple	simple	ADJ
cana-3281	191	53	residual	residual	ADJ
cana-3281	191	54	blocks	block	NOUN
cana-3281	191	55	without	without	ADP
cana-3281	191	56	batch	batch	NOUN
cana-3281	191	57	normalisation	normalisation	NOUN
cana-3281	191	58	layers	layer	NOUN
cana-3281	191	59	.	.	PUNCT
cana-3281	192	1	perceptual	perceptual	ADJ
cana-3281	192	2	loss	loss	NOUN
cana-3281	192	3	function	function	NOUN
cana-3281	192	4	:	:	PUNCT
cana-3281	192	5	this	this	DET
cana-3281	192	6	technique	technique	NOUN
cana-3281	192	7	applies	apply	VERB
cana-3281	192	8	features	feature	VERB
cana-3281	192	9	from	from	ADP
cana-3281	192	10	a	a	DET
cana-3281	192	11	pre	pre	ADJ
cana-3281	192	12	-	-	ADJ
cana-3281	192	13	trained	train	VERB
cana-3281	192	14	vgg	vgg	NOUN
cana-3281	192	15	network	network	NOUN
cana-3281	192	16	to	to	PART
cana-3281	192	17	enhance	enhance	VERB
cana-3281	192	18	the	the	DET
cana-3281	192	19	perceptual	perceptual	ADJ
cana-3281	192	20	appeal	appeal	NOUN
cana-3281	192	21	of	of	ADP
cana-3281	192	22	the	the	DET
cana-3281	192	23	super	super	ADJ
cana-3281	192	24	-	-	ADJ
cana-3281	192	25	resolved	resolved	ADJ
cana-3281	192	26	images	image	NOUN
cana-3281	192	27	to	to	ADP
cana-3281	192	28	the	the	DET
cana-3281	192	29	human	human	ADJ
cana-3281	192	30	eye	eye	NOUN
cana-3281	192	31	.	.	PUNCT
cana-3281	193	1	leg	leg	NOUN
cana-3281	193	2	=	=	PUNCT
cana-3281	193	3	ex∼pdata	ex∼pdata	PROPN
cana-3281	194	1	[	[	X
cana-3281	194	2	d(x)2	d(x)2	X
cana-3281	194	3	]	]	X
cana-3281	195	1	+	+	NUM
cana-3281	195	2	exˆ∼pg	exˆ∼pg	X
cana-3281	195	3	[	[	X
cana-3281	195	4	(	(	PUNCT
cana-3281	195	5	1	1	NUM
cana-3281	195	6	−	−	PROPN
cana-3281	195	7	d(xˆ))2	d(xˆ))2	NOUN
cana-3281	195	8	]	]	PUNCT
cana-3281	196	1	+	+	CCONJ
cana-3281	196	2	λlperp	λlperp	X
cana-3281	196	3	(	(	PUNCT
cana-3281	196	4	6	6	NUM
cana-3281	196	5	)	)	PUNCT
cana-3281	196	6	fig	fig	NOUN
cana-3281	196	7	.	.	PUNCT
cana-3281	197	1	4	4	NUM
cana-3281	197	2	:	:	PUNCT
cana-3281	197	3	detailed	detailed	ADJ
cana-3281	197	4	architecture	architecture	NOUN
cana-3281	197	5	of	of	ADP
cana-3281	197	6	the	the	DET
cana-3281	197	7	discriminator	discriminator	NOUN
cana-3281	197	8	network	network	NOUN
cana-3281	197	9	communications	communication	NOUN
cana-3281	197	10	on	on	ADP
cana-3281	197	11	applied	apply	VERB
cana-3281	197	12	nonlinear	nonlinear	ADJ
cana-3281	197	13	analysis	analysis	NOUN
cana-3281	197	14	issn	issn	NOUN
cana-3281	197	15	:	:	PUNCT
cana-3281	197	16	1074	1074	NUM
cana-3281	197	17	-	-	PUNCT
cana-3281	197	18	133x	133x	NUM
cana-3281	197	19	vol	vol	NOUN
cana-3281	197	20	32	32	NUM
cana-3281	197	21	no	no	NOUN
cana-3281	197	22	.	.	PUNCT
cana-3281	198	1	6s	6s	NUM
cana-3281	198	2	(	(	PUNCT
cana-3281	198	3	2025	2025	NUM
cana-3281	198	4	)	)	PUNCT
cana-3281	198	5	144	144	NUM
cana-3281	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	198	7	equation	equation	NOUN
cana-3281	198	8	6	6	NUM
cana-3281	198	9	gives	give	VERB
cana-3281	198	10	the	the	DET
cana-3281	198	11	loss	loss	NOUN
cana-3281	198	12	function	function	NOUN
cana-3281	198	13	of	of	ADP
cana-3281	198	14	esrgan	esrgan	NOUN
cana-3281	198	15	.	.	PUNCT
cana-3281	199	1	this	this	DET
cana-3281	199	2	mix	mix	NOUN
cana-3281	199	3	of	of	ADP
cana-3281	199	4	losses	loss	NOUN
cana-3281	199	5	guarantees	guarantee	VERB
cana-3281	199	6	that	that	PRON
cana-3281	199	7	esrgan	esrgan	NOUN
cana-3281	199	8	improves	improve	VERB
cana-3281	199	9	textures	texture	NOUN
cana-3281	199	10	and	and	CCONJ
cana-3281	199	11	details	detail	NOUN
cana-3281	199	12	,	,	PUNCT
cana-3281	199	13	which	which	PRON
cana-3281	199	14	are	be	AUX
cana-3281	199	15	essential	essential	ADJ
cana-3281	199	16	for	for	ADP
cana-3281	199	17	high	high	ADJ
cana-3281	199	18	-	-	PUNCT
cana-3281	199	19	resolution	resolution	NOUN
cana-3281	199	20	outputs	output	NOUN
cana-3281	199	21	,	,	PUNCT
cana-3281	199	22	in	in	ADP
cana-3281	199	23	addition	addition	NOUN
cana-3281	199	24	to	to	ADP
cana-3281	199	25	concentrating	concentrate	VERB
cana-3281	199	26	on	on	ADP
cana-3281	199	27	creating	create	VERB
cana-3281	199	28	images	image	NOUN
cana-3281	199	29	that	that	PRON
cana-3281	199	30	seem	seem	VERB
cana-3281	199	31	realistic	realistic	ADJ
cana-3281	199	32	at	at	ADP
cana-3281	199	33	the	the	DET
cana-3281	199	34	pixel	pixel	PROPN
cana-3281	199	35	level	level	NOUN
cana-3281	199	36	.	.	PUNCT
cana-3281	200	1	meticulous	meticulous	ADJ
cana-3281	200	2	training	training	NOUN
cana-3281	200	3	and	and	CCONJ
cana-3281	200	4	optimisation	optimisation	NOUN
cana-3281	200	5	are	be	AUX
cana-3281	200	6	necessary	necessary	ADJ
cana-3281	200	7	for	for	SCONJ
cana-3281	200	8	the	the	DET
cana-3281	200	9	integration	integration	NOUN
cana-3281	200	10	of	of	ADP
cana-3281	200	11	these	these	DET
cana-3281	200	12	sophthe	sophthe	DET
cana-3281	200	13	gan	gan	PROPN
cana-3281	200	14	components	component	NOUN
cana-3281	200	15	'	'	PART
cana-3281	200	16	individual	individual	ADJ
cana-3281	200	17	losses	loss	NOUN
cana-3281	200	18	are	be	AUX
cana-3281	200	19	integrated	integrate	VERB
cana-3281	200	20	by	by	ADP
cana-3281	200	21	the	the	DET
cana-3281	200	22	compound	compound	NOUN
cana-3281	200	23	loss	loss	NOUN
cana-3281	200	24	function	function	NOUN
cana-3281	200	25	,	,	PUNCT
cana-3281	200	26	which	which	PRON
cana-3281	200	27	successfully	successfully	ADV
cana-3281	200	28	synchronises	synchronise	VERB
cana-3281	200	29	their	their	PRON
cana-3281	200	30	outputs	output	NOUN
cana-3281	200	31	to	to	PART
cana-3281	200	32	produce	produce	VERB
cana-3281	200	33	consistently	consistently	ADV
cana-3281	200	34	high	high	ADJ
cana-3281	200	35	-	-	PUNCT
cana-3281	200	36	quality	quality	NOUN
cana-3281	200	37	image	image	NOUN
cana-3281	200	38	production.isticated	production.isticate	VERB
cana-3281	200	39	models	model	NOUN
cana-3281	200	40	in	in	ADP
cana-3281	200	41	order	order	NOUN
cana-3281	200	42	to	to	PART
cana-3281	200	43	guarantee	guarantee	VERB
cana-3281	200	44	smooth	smooth	ADJ
cana-3281	200	45	functionality	functionality	NOUN
cana-3281	200	46	from	from	ADP
cana-3281	200	47	categorisation	categorisation	NOUN
cana-3281	200	48	to	to	ADP
cana-3281	200	49	super	super	ADJ
cana-3281	200	50	-	-	ADJ
cana-3281	200	51	resolution	resolution	ADJ
cana-3281	200	52	augmentation	augmentation	NOUN
cana-3281	200	53	.	.	PUNCT
cana-3281	201	1	iv	iv	X
cana-3281	201	2	.	.	PUNCT
cana-3281	201	3	results	result	NOUN
cana-3281	201	4	and	and	CCONJ
cana-3281	201	5	discussion	discussion	NOUN
cana-3281	201	6	our	our	PRON
cana-3281	201	7	model	model	NOUN
cana-3281	201	8	focuses	focus	VERB
cana-3281	201	9	on	on	ADP
cana-3281	201	10	translating	translate	VERB
cana-3281	201	11	input	input	NOUN
cana-3281	201	12	sketches	sketch	NOUN
cana-3281	201	13	,	,	PUNCT
cana-3281	201	14	which	which	PRON
cana-3281	201	15	are	be	AUX
cana-3281	201	16	simplified	simplify	VERB
cana-3281	201	17	representations	representation	NOUN
cana-3281	201	18	of	of	ADP
cana-3281	201	19	building	building	NOUN
cana-3281	201	20	facades	facade	NOUN
cana-3281	201	21	,	,	PUNCT
cana-3281	201	22	cityscapes	cityscape	NOUN
cana-3281	201	23	,	,	PUNCT
cana-3281	201	24	maps	map	NOUN
cana-3281	201	25	,	,	PUNCT
cana-3281	201	26	and	and	CCONJ
cana-3281	201	27	objects	object	NOUN
cana-3281	201	28	with	with	ADP
cana-3281	201	29	sharp	sharp	ADJ
cana-3281	201	30	edges	edge	NOUN
cana-3281	201	31	(	(	PUNCT
cana-3281	201	32	like	like	ADP
cana-3281	201	33	edges2shoes	edges2shoe	NOUN
cana-3281	201	34	)	)	PUNCT
cana-3281	201	35	,	,	PUNCT
cana-3281	201	36	into	into	ADP
cana-3281	201	37	fully	fully	ADV
cana-3281	201	38	realized	realize	VERB
cana-3281	201	39	and	and	CCONJ
cana-3281	201	40	realistic	realistic	ADJ
cana-3281	201	41	images	image	NOUN
cana-3281	201	42	.	.	PUNCT
cana-3281	202	1	this	this	DET
cana-3281	202	2	translation	translation	NOUN
cana-3281	202	3	process	process	NOUN
cana-3281	202	4	captures	capture	VERB
cana-3281	202	5	the	the	DET
cana-3281	202	6	key	key	ADJ
cana-3281	202	7	features	feature	NOUN
cana-3281	202	8	and	and	CCONJ
cana-3281	202	9	characteristics	characteristic	NOUN
cana-3281	202	10	of	of	ADP
cana-3281	202	11	the	the	DET
cana-3281	202	12	sketches	sketch	NOUN
cana-3281	202	13	,	,	PUNCT
cana-3281	202	14	converting	convert	VERB
cana-3281	202	15	them	they	PRON
cana-3281	202	16	into	into	ADP
cana-3281	202	17	detailed	detailed	ADJ
cana-3281	202	18	and	and	CCONJ
cana-3281	202	19	visually	visually	ADV
cana-3281	202	20	appealing	appealing	ADJ
cana-3281	202	21	images	image	NOUN
cana-3281	202	22	.	.	PUNCT
cana-3281	203	1	these	these	DET
cana-3281	203	2	details	detail	NOUN
cana-3281	203	3	may	may	AUX
cana-3281	203	4	include	include	VERB
cana-3281	203	5	decorative	decorative	ADJ
cana-3281	203	6	elements	element	NOUN
cana-3281	203	7	,	,	PUNCT
cana-3281	203	8	surface	surface	NOUN
cana-3281	203	9	textures	texture	NOUN
cana-3281	203	10	,	,	PUNCT
cana-3281	203	11	or	or	CCONJ
cana-3281	203	12	subtle	subtle	ADJ
cana-3281	203	13	material	material	NOUN
cana-3281	203	14	variations	variation	NOUN
cana-3281	203	15	.	.	PUNCT
cana-3281	204	1	by	by	ADP
cana-3281	204	2	accurately	accurately	ADV
cana-3281	204	3	reproducing	reproduce	VERB
cana-3281	204	4	these	these	DET
cana-3281	204	5	features	feature	NOUN
cana-3281	204	6	,	,	PUNCT
cana-3281	204	7	the	the	DET
cana-3281	204	8	generated	generate	VERB
cana-3281	204	9	images	image	NOUN
cana-3281	204	10	maintain	maintain	VERB
cana-3281	204	11	a	a	DET
cana-3281	204	12	high	high	ADJ
cana-3281	204	13	level	level	NOUN
cana-3281	204	14	of	of	ADP
cana-3281	204	15	fidelity	fidelity	NOUN
cana-3281	204	16	to	to	ADP
cana-3281	204	17	the	the	DET
cana-3281	204	18	original	original	ADJ
cana-3281	204	19	sketches	sketch	NOUN
cana-3281	204	20	.	.	PUNCT
cana-3281	205	1	to	to	PART
cana-3281	205	2	categorize	categorize	VERB
cana-3281	205	3	the	the	DET
cana-3281	205	4	input	input	NOUN
cana-3281	205	5	data	datum	NOUN
cana-3281	205	6	,	,	PUNCT
cana-3281	205	7	we	we	PRON
cana-3281	205	8	initially	initially	ADV
cana-3281	205	9	used	use	VERB
cana-3281	205	10	machine	machine	NOUN
cana-3281	205	11	learning	learning	NOUN
cana-3281	205	12	models	model	NOUN
cana-3281	205	13	such	such	ADJ
cana-3281	205	14	as	as	ADP
cana-3281	205	15	resnet	resnet	NOUN
cana-3281	205	16	and	and	CCONJ
cana-3281	205	17	lstm	lstm	NOUN
cana-3281	205	18	to	to	PART
cana-3281	205	19	classify	classify	VERB
cana-3281	205	20	images	image	NOUN
cana-3281	205	21	based	base	VERB
cana-3281	205	22	on	on	ADP
cana-3281	205	23	datasets	dataset	NOUN
cana-3281	205	24	like	like	ADP
cana-3281	205	25	cityscapes	cityscape	NOUN
cana-3281	205	26	,	,	PUNCT
cana-3281	205	27	maps	map	NOUN
cana-3281	205	28	,	,	PUNCT
cana-3281	205	29	edges2shoes	edges2shoe	NOUN
cana-3281	205	30	,	,	PUNCT
cana-3281	205	31	and	and	CCONJ
cana-3281	205	32	facades	facade	NOUN
cana-3281	205	33	.	.	PUNCT
cana-3281	206	1	we	we	PRON
cana-3281	206	2	leveraged	leverage	VERB
cana-3281	206	3	cnns	cnn	NOUN
cana-3281	206	4	as	as	ADP
cana-3281	206	5	feature	feature	NOUN
cana-3281	206	6	extractors	extractor	NOUN
cana-3281	206	7	,	,	PUNCT
cana-3281	206	8	while	while	SCONJ
cana-3281	206	9	lstms	lstms	ADJ
cana-3281	206	10	were	be	AUX
cana-3281	206	11	innovatively	innovatively	ADV
cana-3281	206	12	applied	apply	VERB
cana-3281	206	13	to	to	PART
cana-3281	206	14	process	process	VERB
cana-3281	206	15	image	image	NOUN
cana-3281	206	16	pixels	pixel	NOUN
cana-3281	206	17	as	as	ADP
cana-3281	206	18	sequences	sequence	NOUN
cana-3281	206	19	,	,	PUNCT
cana-3281	206	20	allowing	allow	VERB
cana-3281	206	21	for	for	ADP
cana-3281	206	22	classification	classification	NOUN
cana-3281	206	23	of	of	ADP
cana-3281	206	24	sequential	sequential	ADJ
cana-3281	206	25	data	datum	NOUN
cana-3281	206	26	.	.	PUNCT
cana-3281	207	1	for	for	ADP
cana-3281	207	2	the	the	DET
cana-3281	207	3	translation	translation	NOUN
cana-3281	207	4	process	process	NOUN
cana-3281	207	5	,	,	PUNCT
cana-3281	207	6	we	we	PRON
cana-3281	207	7	employed	employ	VERB
cana-3281	207	8	adversarial	adversarial	ADJ
cana-3281	207	9	training	training	NOUN
cana-3281	207	10	with	with	ADP
cana-3281	207	11	pix2pix	pix2pix	PROPN
cana-3281	207	12	.	.	PUNCT
cana-3281	208	1	the	the	DET
cana-3281	208	2	modified	modify	VERB
cana-3281	208	3	u	u	ADJ
cana-3281	208	4	-	-	ADJ
cana-3281	208	5	net	net	ADJ
cana-3281	208	6	model	model	NOUN
cana-3281	208	7	is	be	AUX
cana-3281	208	8	designed	design	VERB
cana-3281	208	9	to	to	PART
cana-3281	208	10	map	map	VERB
cana-3281	208	11	input	input	NOUN
cana-3281	208	12	sketches	sketch	NOUN
cana-3281	208	13	to	to	ADP
cana-3281	208	14	corresponding	correspond	VERB
cana-3281	208	15	realistic	realistic	ADJ
cana-3281	208	16	images	image	NOUN
cana-3281	208	17	.	.	PUNCT
cana-3281	209	1	it	it	PRON
cana-3281	209	2	consists	consist	VERB
cana-3281	209	3	of	of	ADP
cana-3281	209	4	an	an	DET
cana-3281	209	5	encoder	encoder	NOUN
cana-3281	209	6	,	,	PUNCT
cana-3281	209	7	which	which	PRON
cana-3281	209	8	is	be	AUX
cana-3281	209	9	made	make	VERB
cana-3281	209	10	up	up	ADP
cana-3281	209	11	of	of	ADP
cana-3281	209	12	stacks	stack	NOUN
cana-3281	209	13	of	of	ADP
cana-3281	209	14	convolutional	convolutional	ADJ
cana-3281	209	15	layers	layer	NOUN
cana-3281	209	16	with	with	ADP
cana-3281	209	17	batch	batch	NOUN
cana-3281	209	18	normalization	normalization	NOUN
cana-3281	209	19	and	and	CCONJ
cana-3281	209	20	leaky	leaky	ADJ
cana-3281	209	21	relu	relu	NOUN
cana-3281	209	22	activation	activation	NOUN
cana-3281	209	23	for	for	ADP
cana-3281	209	24	feature	feature	NOUN
cana-3281	209	25	extraction	extraction	NOUN
cana-3281	209	26	,	,	PUNCT
cana-3281	209	27	and	and	CCONJ
cana-3281	209	28	a	a	DET
cana-3281	209	29	decoder	decoder	NOUN
cana-3281	209	30	,	,	PUNCT
cana-3281	209	31	which	which	PRON
cana-3281	209	32	includes	include	VERB
cana-3281	209	33	stacks	stack	NOUN
cana-3281	209	34	of	of	ADP
cana-3281	209	35	transposed	transpose	VERB
cana-3281	209	36	convolutional	convolutional	ADJ
cana-3281	209	37	layers	layer	NOUN
cana-3281	209	38	with	with	ADP
cana-3281	209	39	batch	batch	NOUN
cana-3281	209	40	normalization	normalization	NOUN
cana-3281	209	41	and	and	CCONJ
cana-3281	209	42	relu	relu	NOUN
cana-3281	209	43	activation	activation	NOUN
cana-3281	209	44	for	for	ADP
cana-3281	209	45	reconstructing	reconstruct	VERB
cana-3281	209	46	the	the	DET
cana-3281	209	47	output	output	NOUN
cana-3281	209	48	image	image	NOUN
cana-3281	209	49	.	.	PUNCT
cana-3281	210	1	this	this	DET
cana-3281	210	2	setup	setup	NOUN
cana-3281	210	3	ensures	ensure	VERB
cana-3281	210	4	that	that	SCONJ
cana-3281	210	5	the	the	DET
cana-3281	210	6	generated	generate	VERB
cana-3281	210	7	images	image	NOUN
cana-3281	210	8	closely	closely	ADV
cana-3281	210	9	resemble	resemble	VERB
cana-3281	210	10	real	real	ADJ
cana-3281	210	11	facade	facade	NOUN
cana-3281	210	12	designs	design	NOUN
cana-3281	210	13	,	,	PUNCT
cana-3281	210	14	promoting	promote	VERB
cana-3281	210	15	creative	creative	ADJ
cana-3281	210	16	exploration	exploration	NOUN
cana-3281	210	17	and	and	CCONJ
cana-3281	210	18	enabling	enable	VERB
cana-3281	210	19	rapid	rapid	ADJ
cana-3281	210	20	prototyping	prototyping	NOUN
cana-3281	210	21	in	in	ADP
cana-3281	210	22	architectural	architectural	ADJ
cana-3281	210	23	design	design	NOUN
cana-3281	210	24	.	.	PUNCT
cana-3281	211	1	the	the	DET
cana-3281	211	2	model	model	NOUN
cana-3281	211	3	plays	play	VERB
cana-3281	211	4	a	a	DET
cana-3281	211	5	crucial	crucial	ADJ
cana-3281	211	6	role	role	NOUN
cana-3281	211	7	in	in	ADP
cana-3281	211	8	bridging	bridge	VERB
cana-3281	211	9	the	the	DET
cana-3281	211	10	gap	gap	NOUN
cana-3281	211	11	between	between	ADP
cana-3281	211	12	conceptual	conceptual	ADJ
cana-3281	211	13	sketches	sketch	NOUN
cana-3281	211	14	and	and	CCONJ
cana-3281	211	15	concrete	concrete	ADJ
cana-3281	211	16	architectural	architectural	ADJ
cana-3281	211	17	representations	representation	NOUN
cana-3281	211	18	,	,	PUNCT
cana-3281	211	19	aiding	aid	VERB
cana-3281	211	20	in	in	ADP
cana-3281	211	21	decisionmaking	decisionmake	VERB
cana-3281	211	22	and	and	CCONJ
cana-3281	211	23	enhancing	enhance	VERB
cana-3281	211	24	creativity	creativity	NOUN
cana-3281	211	25	throughout	throughout	ADP
cana-3281	211	26	the	the	DET
cana-3281	211	27	design	design	NOUN
cana-3281	211	28	process	process	NOUN
cana-3281	211	29	.	.	PUNCT
cana-3281	212	1	for	for	ADP
cana-3281	212	2	evaluating	evaluate	VERB
cana-3281	212	3	semantic	semantic	ADJ
cana-3281	212	4	segmentation	segmentation	NOUN
cana-3281	212	5	across	across	ADP
cana-3281	212	6	all	all	DET
cana-3281	212	7	the	the	DET
cana-3281	212	8	datasets	dataset	NOUN
cana-3281	212	9	considered	consider	VERB
cana-3281	212	10	,	,	PUNCT
cana-3281	212	11	the	the	DET
cana-3281	212	12	following	follow	VERB
cana-3281	212	13	metrics	metric	NOUN
cana-3281	212	14	are	be	AUX
cana-3281	212	15	used	use	VERB
cana-3281	212	16	are	be	AUX
cana-3281	212	17	:	:	PUNCT
cana-3281	212	18	class	class	NOUN
cana-3281	212	19	miou	miou	NOUN
cana-3281	212	20	(	(	PUNCT
cana-3281	212	21	mean	mean	VERB
cana-3281	212	22	intersection	intersection	NOUN
cana-3281	212	23	over	over	ADP
cana-3281	212	24	union	union	NOUN
cana-3281	212	25	):	):	PUNCT
cana-3281	212	26	this	this	DET
cana-3281	212	27	metric	metric	ADJ
cana-3281	212	28	evaluates	evaluate	VERB
cana-3281	212	29	the	the	DET
cana-3281	212	30	performance	performance	NOUN
cana-3281	212	31	of	of	ADP
cana-3281	212	32	the	the	DET
cana-3281	212	33	segmentation	segmentation	NOUN
cana-3281	212	34	algorithm	algorithm	NOUN
cana-3281	212	35	by	by	ADP
cana-3281	212	36	computing	compute	VERB
cana-3281	212	37	the	the	DET
cana-3281	212	38	ratio	ratio	NOUN
cana-3281	212	39	of	of	ADP
cana-3281	212	40	the	the	DET
cana-3281	212	41	intersection	intersection	NOUN
cana-3281	212	42	to	to	ADP
cana-3281	212	43	the	the	DET
cana-3281	212	44	union	union	NOUN
cana-3281	212	45	between	between	ADP
cana-3281	212	46	the	the	DET
cana-3281	212	47	predicted	predict	VERB
cana-3281	212	48	segmentation	segmentation	NOUN
cana-3281	212	49	and	and	CCONJ
cana-3281	212	50	the	the	DET
cana-3281	212	51	ground	ground	NOUN
cana-3281	212	52	truth	truth	NOUN
cana-3281	212	53	for	for	ADP
cana-3281	212	54	each	each	DET
cana-3281	212	55	class	class	NOUN
cana-3281	212	56	.	.	PUNCT
cana-3281	213	1	the	the	DET
cana-3281	213	2	overall	overall	ADJ
cana-3281	213	3	performance	performance	NOUN
cana-3281	213	4	is	be	AUX
cana-3281	213	5	reported	report	VERB
cana-3281	213	6	as	as	ADP
cana-3281	213	7	the	the	DET
cana-3281	213	8	average	average	NOUN
cana-3281	213	9	of	of	ADP
cana-3281	213	10	the	the	DET
cana-3281	213	11	mious	mious	ADJ
cana-3281	213	12	across	across	ADP
cana-3281	213	13	all	all	DET
cana-3281	213	14	classes	class	NOUN
cana-3281	213	15	.	.	PUNCT
cana-3281	214	1	table	table	NOUN
cana-3281	214	2	ii	ii	PROPN
cana-3281	214	3	:	:	PUNCT
cana-3281	214	4	performance	performance	NOUN
cana-3281	214	5	metrics	metric	NOUN
cana-3281	214	6	for	for	ADP
cana-3281	214	7	different	different	ADJ
cana-3281	214	8	loss	loss	NOUN
cana-3281	214	9	functions	function	NOUN
cana-3281	214	10	loss	loss	NOUN
cana-3281	214	11	type	type	NOUN
cana-3281	214	12	per	per	ADP
cana-3281	214	13	-	-	PUNCT
cana-3281	214	14	pixel	pixel	NOUN
cana-3281	214	15	acc	acc	PROPN
cana-3281	214	16	.	.	PROPN
cana-3281	214	17	per	per	ADP
cana-3281	214	18	-	-	PUNCT
cana-3281	214	19	class	class	NOUN
cana-3281	214	20	acc	acc	PROPN
cana-3281	214	21	.	.	PUNCT
cana-3281	214	22	class	class	PROPN
cana-3281	214	23	iou	iou	PROPN
cana-3281	214	24	l1	l1	PROPN
cana-3281	214	25	0.41	0.41	NUM
cana-3281	214	26	0.14	0.14	NUM
cana-3281	214	27	0.12	0.12	NUM
cana-3281	214	28	gan	gan	NOUN
cana-3281	214	29	0.23	0.23	NUM
cana-3281	214	30	0.06	0.06	NUM
cana-3281	214	31	0.02	0.02	NUM
cana-3281	214	32	cgan	cgan	VERB
cana-3281	214	33	0.56	0.56	NUM
cana-3281	214	34	0.21	0.21	NUM
cana-3281	214	35	0.15	0.15	NUM
cana-3281	214	36	l1+gan	l1+gan	NOUN
cana-3281	214	37	0.64	0.64	NUM
cana-3281	214	38	0.21	0.21	NUM
cana-3281	214	39	0.14	0.14	NUM
cana-3281	214	40	l1+cgan	l1+cgan	VERB
cana-3281	214	41	0.67	0.67	NUM
cana-3281	214	42	0.23	0.23	NUM
cana-3281	214	43	0.16	0.16	NUM
cana-3281	214	44	communications	communication	NOUN
cana-3281	214	45	on	on	ADP
cana-3281	214	46	applied	apply	VERB
cana-3281	214	47	nonlinear	nonlinear	ADJ
cana-3281	214	48	analysis	analysis	NOUN
cana-3281	214	49	issn	issn	NOUN
cana-3281	214	50	:	:	PUNCT
cana-3281	214	51	1074	1074	NUM
cana-3281	214	52	-	-	PUNCT
cana-3281	214	53	133x	133x	NUM
cana-3281	214	54	vol	vol	NOUN
cana-3281	214	55	32	32	NUM
cana-3281	214	56	no	no	NOUN
cana-3281	214	57	.	.	PUNCT
cana-3281	215	1	6s	6s	NUM
cana-3281	215	2	(	(	PUNCT
cana-3281	215	3	2025	2025	NUM
cana-3281	215	4	)	)	PUNCT
cana-3281	215	5	145	145	NUM
cana-3281	215	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3281	215	7	ground	ground	NOUN
cana-3281	215	8	truth	truth	NOUN
cana-3281	215	9	0.80	0.80	NUM
cana-3281	215	10	0.26	0.26	NUM
cana-3281	215	11	0.20	0.20	NUM
cana-3281	215	12	table	table	NOUN
cana-3281	215	13	ii	ii	NOUN
cana-3281	215	14	represents	represent	VERB
cana-3281	215	15	average	average	ADJ
cana-3281	215	16	fcn	fcn	NOUN
cana-3281	215	17	-	-	PUNCT
cana-3281	215	18	scores	score	NOUN
cana-3281	215	19	for	for	ADP
cana-3281	215	20	different	different	ADJ
cana-3281	215	21	losses	loss	NOUN
cana-3281	215	22	,	,	PUNCT
cana-3281	215	23	evaluated	evaluate	VERB
cana-3281	215	24	on	on	ADP
cana-3281	215	25	cityscapes	cityscape	NOUN
cana-3281	215	26	,	,	PUNCT
cana-3281	215	27	facades	facade	NOUN
cana-3281	215	28	,	,	PUNCT
cana-3281	215	29	maps	map	NOUN
cana-3281	215	30	and	and	CCONJ
cana-3281	215	31	edges2shoes	edges2shoe	VERB
cana-3281	215	32	labels	label	NOUN
cana-3281	215	33	to	to	ADP
cana-3281	215	34	photos	photo	NOUN
cana-3281	215	35	.	.	PUNCT
cana-3281	216	1	table	table	NOUN
cana-3281	216	2	iii	iii	PROPN
cana-3281	216	3	:	:	PUNCT
cana-3281	216	4	comparison	comparison	NOUN
cana-3281	216	5	of	of	ADP
cana-3281	216	6	performance	performance	NOUN
cana-3281	216	7	metrics	metric	NOUN
cana-3281	216	8	across	across	ADP
cana-3281	216	9	different	different	ADJ
cana-3281	216	10	architectures	architecture	NOUN
cana-3281	216	11	and	and	CCONJ
cana-3281	216	12	loss	loss	NOUN
cana-3281	216	13	functions	function	NOUN
cana-3281	216	14	table	table	NOUN
cana-3281	216	15	iii	iii	NOUN
cana-3281	216	16	displays	display	VERB
cana-3281	216	17	the	the	DET
cana-3281	216	18	average	average	ADJ
cana-3281	216	19	fcn	fcn	NOUN
cana-3281	216	20	scores	score	NOUN
cana-3281	216	21	for	for	ADP
cana-3281	216	22	various	various	ADJ
cana-3281	216	23	generator	generator	NOUN
cana-3281	216	24	architectures	architecture	NOUN
cana-3281	216	25	(	(	PUNCT
cana-3281	216	26	and	and	CCONJ
cana-3281	216	27	objectives	objective	NOUN
cana-3281	216	28	)	)	PUNCT
cana-3281	216	29	assessed	assess	VERB
cana-3281	216	30	on	on	ADP
cana-3281	216	31	datasets	dataset	NOUN
cana-3281	216	32	such	such	ADJ
cana-3281	216	33	as	as	ADP
cana-3281	216	34	cityscapes	cityscape	NOUN
cana-3281	216	35	,	,	PUNCT
cana-3281	216	36	maps	map	NOUN
cana-3281	216	37	,	,	PUNCT
cana-3281	216	38	edges2shoes	edges2shoe	NOUN
cana-3281	216	39	,	,	PUNCT
cana-3281	216	40	and	and	CCONJ
cana-3281	216	41	facades	facade	NOUN
cana-3281	216	42	labels	label	NOUN
cana-3281	216	43	to	to	ADP
cana-3281	216	44	photos	photo	NOUN
cana-3281	216	45	.	.	PUNCT
cana-3281	217	1	the	the	DET
cana-3281	217	2	u	u	NOUN
cana-3281	217	3	-	-	NOUN
cana-3281	217	4	net	net	ADJ
cana-3281	217	5	(	(	PUNCT
cana-3281	217	6	l1cgan	l1cgan	PROPN
cana-3281	217	7	)	)	PUNCT
cana-3281	217	8	scores	score	NOUN
cana-3281	217	9	differ	differ	VERB
cana-3281	217	10	from	from	ADP
cana-3281	217	11	those	those	PRON
cana-3281	217	12	in	in	ADP
cana-3281	217	13	other	other	ADJ
cana-3281	217	14	tables	table	NOUN
cana-3281	217	15	due	due	ADP
cana-3281	217	16	to	to	ADP
cana-3281	217	17	the	the	DET
cana-3281	217	18	batch	batch	NOUN
cana-3281	217	19	size	size	NOUN
cana-3281	217	20	being	be	AUX
cana-3281	217	21	10	10	NUM
cana-3281	217	22	in	in	ADP
cana-3281	217	23	this	this	DET
cana-3281	217	24	experiment	experiment	NOUN
cana-3281	217	25	,	,	PUNCT
cana-3281	217	26	while	while	SCONJ
cana-3281	217	27	it	it	PRON
cana-3281	217	28	was	be	AUX
cana-3281	217	29	1	1	NUM
cana-3281	217	30	in	in	ADP
cana-3281	217	31	the	the	DET
cana-3281	217	32	others	other	NOUN
cana-3281	217	33	,	,	PUNCT
cana-3281	217	34	along	along	ADP
cana-3281	217	35	with	with	ADP
cana-3281	217	36	random	random	ADJ
cana-3281	217	37	variations	variation	NOUN
cana-3281	217	38	in	in	ADP
cana-3281	217	39	different	different	ADJ
cana-3281	217	40	training	training	NOUN
cana-3281	217	41	runs	run	NOUN
cana-3281	217	42	.	.	PUNCT
cana-3281	218	1	table	table	NOUN
cana-3281	218	2	iv	iv	NUM
cana-3281	218	3	shows	show	VERB
cana-3281	218	4	the	the	DET
cana-3281	218	5	average	average	ADJ
cana-3281	218	6	fcn	fcn	NOUN
cana-3281	218	7	scores	score	NOUN
cana-3281	218	8	for	for	ADP
cana-3281	218	9	different	different	ADJ
cana-3281	218	10	discriminator	discriminator	NOUN
cana-3281	218	11	receptive	receptive	ADJ
cana-3281	218	12	field	field	NOUN
cana-3281	218	13	sizes	size	NOUN
cana-3281	218	14	,	,	PUNCT
cana-3281	218	15	evaluated	evaluate	VERB
cana-3281	218	16	on	on	ADP
cana-3281	218	17	cityscapes	cityscape	NOUN
cana-3281	218	18	,	,	PUNCT
cana-3281	218	19	maps	map	NOUN
cana-3281	218	20	,	,	PUNCT
cana-3281	218	21	edges2shoes	edges2shoe	NOUN
cana-3281	218	22	,	,	PUNCT
cana-3281	218	23	and	and	CCONJ
cana-3281	218	24	facades	facade	NOUN
cana-3281	218	25	labels→photos	labels→photo	NOUN
cana-3281	218	26	.	.	PUNCT
cana-3281	219	1	it	it	PRON
cana-3281	219	2	is	be	AUX
cana-3281	219	3	important	important	ADJ
cana-3281	219	4	to	to	PART
cana-3281	219	5	note	note	VERB
cana-3281	219	6	that	that	SCONJ
cana-3281	219	7	the	the	DET
cana-3281	219	8	input	input	NOUN
cana-3281	219	9	images	image	NOUN
cana-3281	219	10	are	be	AUX
cana-3281	219	11	considered	consider	VERB
cana-3281	219	12	to	to	PART
cana-3281	219	13	be	be	AUX
cana-3281	219	14	256	256	NUM
cana-3281	219	15	×	×	NOUN
cana-3281	219	16	256	256	NUM
cana-3281	219	17	pixels	pixel	NOUN
cana-3281	219	18	,	,	PUNCT
cana-3281	219	19	and	and	CCONJ
cana-3281	219	20	any	any	DET
cana-3281	219	21	pixels	pixel	NOUN
cana-3281	219	22	beyond	beyond	ADP
cana-3281	219	23	this	this	DET
cana-3281	219	24	size	size	NOUN
cana-3281	219	25	are	be	AUX
cana-3281	219	26	assigned	assign	VERB
cana-3281	219	27	a	a	DET
cana-3281	219	28	value	value	NOUN
cana-3281	219	29	of	of	ADP
cana-3281	219	30	zero	zero	NUM
cana-3281	219	31	.	.	PUNCT
cana-3281	220	1	table	table	NOUN
cana-3281	220	2	iv	iv	X
cana-3281	220	3	:	:	PUNCT
cana-3281	220	4	influence	influence	NOUN
cana-3281	220	5	of	of	ADP
cana-3281	220	6	discriminator	discriminator	NOUN
cana-3281	220	7	receptive	receptive	ADJ
cana-3281	220	8	field	field	NOUN
cana-3281	220	9	size	size	NOUN
cana-3281	220	10	on	on	ADP
cana-3281	220	11	performance	performance	NOUN
cana-3281	220	12	metrics	metric	NOUN
cana-3281	220	13	communications	communication	NOUN
cana-3281	220	14	on	on	ADP
cana-3281	220	15	applied	apply	VERB
cana-3281	220	16	nonlinear	nonlinear	ADJ
cana-3281	220	17	analysis	analysis	NOUN
cana-3281	220	18	issn	issn	NOUN
cana-3281	220	19	:	:	PUNCT
cana-3281	220	20	1074	1074	NUM
cana-3281	220	21	-	-	PUNCT
cana-3281	220	22	133x	133x	NUM
cana-3281	220	23	vol	vol	NOUN
cana-3281	220	24	32	32	NUM
cana-3281	220	25	no	no	NOUN
cana-3281	220	26	.	.	PUNCT
cana-3281	221	1	6s	6s	NUM
cana-3281	221	2	(	(	PUNCT
cana-3281	221	3	2025	2025	NUM
cana-3281	221	4	)	)	PUNCT
cana-3281	221	5	146	146	NUM
cana-3281	221	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	221	7	fig	fig	NOUN
cana-3281	221	8	.	.	PUNCT
cana-3281	222	1	5	5	NUM
cana-3281	222	2	:	:	PUNCT
cana-3281	222	3	transformation	transformation	NOUN
cana-3281	222	4	of	of	ADP
cana-3281	222	5	building	build	VERB
cana-3281	222	6	sketches	sketch	NOUN
cana-3281	222	7	to	to	ADP
cana-3281	222	8	photorealistic	photorealistic	ADJ
cana-3281	222	9	renderings	rendering	NOUN
cana-3281	222	10	figure	figure	VERB
cana-3281	222	11	5	5	NUM
cana-3281	222	12	presents	present	NOUN
cana-3281	222	13	five	five	NUM
cana-3281	222	14	sets	set	NOUN
cana-3281	222	15	of	of	ADP
cana-3281	222	16	images	image	NOUN
cana-3281	222	17	,	,	PUNCT
cana-3281	222	18	where	where	SCONJ
cana-3281	222	19	each	each	DET
cana-3281	222	20	set	set	NOUN
cana-3281	222	21	includes	include	VERB
cana-3281	222	22	three	three	NUM
cana-3281	222	23	images	image	NOUN
cana-3281	222	24	.	.	PUNCT
cana-3281	223	1	the	the	DET
cana-3281	223	2	first	first	ADJ
cana-3281	223	3	image	image	NOUN
cana-3281	223	4	in	in	ADP
cana-3281	223	5	each	each	DET
cana-3281	223	6	set	set	NOUN
cana-3281	223	7	,	,	PUNCT
cana-3281	223	8	titled	title	VERB
cana-3281	223	9	"	"	PUNCT
cana-3281	223	10	input	input	NOUN
cana-3281	223	11	image	image	NOUN
cana-3281	223	12	,	,	PUNCT
cana-3281	223	13	"	"	PUNCT
cana-3281	223	14	is	be	AUX
cana-3281	223	15	a	a	DET
cana-3281	223	16	sketch	sketch	NOUN
cana-3281	223	17	of	of	ADP
cana-3281	223	18	a	a	DET
cana-3281	223	19	building	building	NOUN
cana-3281	223	20	or	or	CCONJ
cana-3281	223	21	structure	structure	NOUN
cana-3281	223	22	.	.	PUNCT
cana-3281	224	1	the	the	DET
cana-3281	224	2	second	second	ADJ
cana-3281	224	3	,	,	PUNCT
cana-3281	224	4	labeled	label	VERB
cana-3281	224	5	"	"	PUNCT
cana-3281	224	6	real	real	ADJ
cana-3281	224	7	(	(	PUNCT
cana-3281	224	8	ground	ground	NOUN
cana-3281	224	9	truth	truth	NOUN
cana-3281	224	10	)	)	PUNCT
cana-3281	224	11	,	,	PUNCT
cana-3281	224	12	"	"	PUNCT
cana-3281	224	13	is	be	AUX
cana-3281	224	14	the	the	DET
cana-3281	224	15	corresponding	corresponding	ADJ
cana-3281	224	16	real	real	ADJ
cana-3281	224	17	-	-	PUNCT
cana-3281	224	18	world	world	NOUN
cana-3281	224	19	photograph	photograph	NOUN
cana-3281	224	20	of	of	ADP
cana-3281	224	21	the	the	DET
cana-3281	224	22	building	building	NOUN
cana-3281	224	23	.	.	PUNCT
cana-3281	225	1	the	the	DET
cana-3281	225	2	third	third	ADJ
cana-3281	225	3	image	image	NOUN
cana-3281	225	4	,	,	PUNCT
cana-3281	225	5	titled	title	VERB
cana-3281	225	6	"	"	PUNCT
cana-3281	225	7	generated	generate	VERB
cana-3281	225	8	image	image	NOUN
cana-3281	225	9	(	(	PUNCT
cana-3281	225	10	fake	fake	ADJ
cana-3281	225	11	)	)	PUNCT
cana-3281	225	12	,	,	PUNCT
cana-3281	225	13	"	"	PUNCT
cana-3281	225	14	is	be	AUX
cana-3281	225	15	the	the	DET
cana-3281	225	16	output	output	NOUN
cana-3281	225	17	produced	produce	VERB
cana-3281	225	18	by	by	ADP
cana-3281	225	19	our	our	PRON
cana-3281	225	20	generator	generator	NOUN
cana-3281	225	21	,	,	PUNCT
cana-3281	225	22	closely	closely	ADV
cana-3281	225	23	mimicking	mimic	VERB
cana-3281	225	24	the	the	DET
cana-3281	225	25	appearance	appearance	NOUN
cana-3281	225	26	of	of	ADP
cana-3281	225	27	the	the	DET
cana-3281	225	28	real	real	ADJ
cana-3281	225	29	image	image	NOUN
cana-3281	225	30	.	.	PUNCT
cana-3281	226	1	upon	upon	SCONJ
cana-3281	226	2	comparing	compare	VERB
cana-3281	226	3	the	the	DET
cana-3281	226	4	generated	generate	VERB
cana-3281	226	5	images	image	NOUN
cana-3281	226	6	to	to	ADP
cana-3281	226	7	their	their	PRON
cana-3281	226	8	real	real	ADJ
cana-3281	226	9	-	-	PUNCT
cana-3281	226	10	world	world	NOUN
cana-3281	226	11	counterparts	counterpart	NOUN
cana-3281	226	12	,	,	PUNCT
cana-3281	226	13	the	the	DET
cana-3281	226	14	model	model	NOUN
cana-3281	226	15	shows	show	VERB
cana-3281	226	16	a	a	DET
cana-3281	226	17	strong	strong	ADJ
cana-3281	226	18	ability	ability	NOUN
cana-3281	226	19	to	to	PART
cana-3281	226	20	preserve	preserve	VERB
cana-3281	226	21	important	important	ADJ
cana-3281	226	22	structural	structural	ADJ
cana-3281	226	23	elements	element	NOUN
cana-3281	226	24	and	and	CCONJ
cana-3281	226	25	overall	overall	ADJ
cana-3281	226	26	visual	visual	ADJ
cana-3281	226	27	features	feature	NOUN
cana-3281	226	28	.	.	PUNCT
cana-3281	227	1	the	the	DET
cana-3281	227	2	generated	generate	VERB
cana-3281	227	3	images	image	NOUN
cana-3281	227	4	maintain	maintain	VERB
cana-3281	227	5	a	a	DET
cana-3281	227	6	high	high	ADJ
cana-3281	227	7	level	level	NOUN
cana-3281	227	8	of	of	ADP
cana-3281	227	9	accuracy	accuracy	NOUN
cana-3281	227	10	,	,	PUNCT
cana-3281	227	11	ranging	range	VERB
cana-3281	227	12	between	between	ADP
cana-3281	227	13	90	90	NUM
cana-3281	227	14	-	-	SYM
cana-3281	227	15	92	92	NUM
cana-3281	227	16	%	%	NOUN
cana-3281	227	17	,	,	PUNCT
cana-3281	227	18	in	in	ADP
cana-3281	227	19	reflecting	reflect	VERB
cana-3281	227	20	the	the	DET
cana-3281	227	21	original	original	ADJ
cana-3281	227	22	design	design	NOUN
cana-3281	227	23	concepts	concept	NOUN
cana-3281	227	24	.	.	PUNCT
cana-3281	228	1	this	this	DET
cana-3281	228	2	accuracy	accuracy	NOUN
cana-3281	228	3	is	be	AUX
cana-3281	228	4	measured	measure	VERB
cana-3281	228	5	using	use	VERB
cana-3281	228	6	two	two	NUM
cana-3281	228	7	key	key	ADJ
cana-3281	228	8	loss	loss	NOUN
cana-3281	228	9	functions	function	NOUN
cana-3281	228	10	:	:	PUNCT
cana-3281	228	11	binary	binary	PROPN
cana-3281	228	12	cross	cross	PROPN
cana-3281	228	13	entropy	entropy	PROPN
cana-3281	228	14	(	(	PUNCT
cana-3281	228	15	gan	gan	NOUN
cana-3281	228	16	loss	loss	NOUN
cana-3281	228	17	)	)	PUNCT
cana-3281	228	18	,	,	PUNCT
cana-3281	228	19	which	which	PRON
cana-3281	228	20	evaluates	evaluate	VERB
cana-3281	228	21	the	the	DET
cana-3281	228	22	divergence	divergence	NOUN
cana-3281	228	23	between	between	ADP
cana-3281	228	24	the	the	DET
cana-3281	228	25	generated	generate	VERB
cana-3281	228	26	and	and	CCONJ
cana-3281	228	27	real	real	ADJ
cana-3281	228	28	images	image	NOUN
cana-3281	228	29	,	,	PUNCT
cana-3281	228	30	and	and	CCONJ
cana-3281	228	31	mean	mean	VERB
cana-3281	228	32	absolute	absolute	ADJ
cana-3281	228	33	error	error	NOUN
cana-3281	228	34	,	,	PUNCT
cana-3281	228	35	which	which	PRON
cana-3281	228	36	calculates	calculate	VERB
cana-3281	228	37	the	the	DET
cana-3281	228	38	pixel	pixel	ADJ
cana-3281	228	39	-	-	PUNCT
cana-3281	228	40	level	level	NOUN
cana-3281	228	41	differences	difference	NOUN
cana-3281	228	42	between	between	ADP
cana-3281	228	43	the	the	DET
cana-3281	228	44	generated	generate	VERB
cana-3281	228	45	output	output	NOUN
cana-3281	228	46	and	and	CCONJ
cana-3281	228	47	the	the	DET
cana-3281	228	48	real	real	ADJ
cana-3281	228	49	target	target	NOUN
cana-3281	228	50	image	image	NOUN
cana-3281	228	51	.	.	PUNCT
cana-3281	229	1	these	these	DET
cana-3281	229	2	metrics	metric	NOUN
cana-3281	229	3	showcase	showcase	VERB
cana-3281	229	4	the	the	DET
cana-3281	229	5	model	model	NOUN
cana-3281	229	6	’s	’s	PART
cana-3281	229	7	ability	ability	NOUN
cana-3281	229	8	to	to	PART
cana-3281	229	9	effectively	effectively	ADV
cana-3281	229	10	capture	capture	VERB
cana-3281	229	11	the	the	DET
cana-3281	229	12	essence	essence	NOUN
cana-3281	229	13	of	of	ADP
cana-3281	229	14	the	the	DET
cana-3281	229	15	input	input	NOUN
cana-3281	229	16	sketches	sketch	NOUN
cana-3281	229	17	,	,	PUNCT
cana-3281	229	18	replicating	replicate	VERB
cana-3281	229	19	fine	fine	ADJ
cana-3281	229	20	details	detail	NOUN
cana-3281	229	21	such	such	ADJ
cana-3281	229	22	as	as	ADP
cana-3281	229	23	the	the	DET
cana-3281	229	24	texture	texture	NOUN
cana-3281	229	25	,	,	PUNCT
cana-3281	229	26	layout	layout	NOUN
cana-3281	229	27	,	,	PUNCT
cana-3281	229	28	and	and	CCONJ
cana-3281	229	29	material	material	NOUN
cana-3281	229	30	properties	property	NOUN
cana-3281	229	31	.	.	PUNCT
cana-3281	230	1	the	the	DET
cana-3281	230	2	model	model	NOUN
cana-3281	230	3	’s	’s	PART
cana-3281	230	4	strong	strong	ADJ
cana-3281	230	5	performance	performance	NOUN
cana-3281	230	6	makes	make	VERB
cana-3281	230	7	it	it	PRON
cana-3281	230	8	a	a	DET
cana-3281	230	9	reliable	reliable	ADJ
cana-3281	230	10	tool	tool	NOUN
cana-3281	230	11	for	for	ADP
cana-3281	230	12	architectural	architectural	ADJ
cana-3281	230	13	visualization	visualization	NOUN
cana-3281	230	14	,	,	PUNCT
cana-3281	230	15	empowering	empower	VERB
cana-3281	230	16	designers	designer	NOUN
cana-3281	230	17	with	with	ADP
cana-3281	230	18	rapid	rapid	ADJ
cana-3281	230	19	prototyping	prototyping	NOUN
cana-3281	230	20	capabilities	capability	NOUN
cana-3281	230	21	and	and	CCONJ
cana-3281	230	22	ensuring	ensure	VERB
cana-3281	230	23	that	that	SCONJ
cana-3281	230	24	their	their	PRON
cana-3281	230	25	conceptual	conceptual	ADJ
cana-3281	230	26	sketches	sketch	NOUN
cana-3281	230	27	are	be	AUX
cana-3281	230	28	accurately	accurately	ADV
cana-3281	230	29	transformed	transform	VERB
cana-3281	230	30	into	into	ADP
cana-3281	230	31	high	high	ADJ
cana-3281	230	32	-	-	PUNCT
cana-3281	230	33	quality	quality	NOUN
cana-3281	230	34	images	image	NOUN
cana-3281	230	35	.	.	PUNCT
cana-3281	231	1	fig	fig	NOUN
cana-3281	231	2	.	.	PUNCT
cana-3281	232	1	6	6	NUM
cana-3281	232	2	:	:	PUNCT
cana-3281	232	3	comparative	comparative	ADJ
cana-3281	232	4	analysis	analysis	NOUN
cana-3281	232	5	of	of	ADP
cana-3281	232	6	pixel	pixel	ADJ
cana-3281	232	7	discrepancies	discrepancy	NOUN
cana-3281	232	8	–	–	PUNCT
cana-3281	232	9	1	1	NUM
cana-3281	232	10	communications	communication	NOUN
cana-3281	232	11	on	on	ADP
cana-3281	232	12	applied	apply	VERB
cana-3281	232	13	nonlinear	nonlinear	ADJ
cana-3281	232	14	analysis	analysis	NOUN
cana-3281	232	15	issn	issn	NOUN
cana-3281	232	16	:	:	PUNCT
cana-3281	232	17	1074	1074	NUM
cana-3281	232	18	-	-	PUNCT
cana-3281	232	19	133x	133x	NUM
cana-3281	232	20	vol	vol	NOUN
cana-3281	232	21	32	32	NUM
cana-3281	232	22	no	no	NOUN
cana-3281	232	23	.	.	PUNCT
cana-3281	233	1	6s	6s	NUM
cana-3281	233	2	(	(	PUNCT
cana-3281	233	3	2025	2025	NUM
cana-3281	233	4	)	)	PUNCT
cana-3281	233	5	147	147	NUM
cana-3281	233	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	233	7	in	in	ADP
cana-3281	233	8	figures	figure	NOUN
cana-3281	233	9	6	6	NUM
cana-3281	233	10	and	and	CCONJ
cana-3281	233	11	7	7	NUM
cana-3281	233	12	,	,	PUNCT
cana-3281	233	13	the	the	DET
cana-3281	233	14	distinctions	distinction	NOUN
cana-3281	233	15	between	between	ADP
cana-3281	233	16	the	the	DET
cana-3281	233	17	real	real	ADJ
cana-3281	233	18	images	image	NOUN
cana-3281	233	19	and	and	CCONJ
cana-3281	233	20	the	the	DET
cana-3281	233	21	generated	generate	VERB
cana-3281	233	22	ones	one	NOUN
cana-3281	233	23	are	be	AUX
cana-3281	233	24	further	far	ADV
cana-3281	233	25	highlighted	highlight	VERB
cana-3281	233	26	.	.	PUNCT
cana-3281	234	1	the	the	DET
cana-3281	234	2	generator	generator	NOUN
cana-3281	234	3	's	's	PART
cana-3281	234	4	output	output	NOUN
cana-3281	234	5	is	be	AUX
cana-3281	234	6	influenced	influence	VERB
cana-3281	234	7	by	by	ADP
cana-3281	234	8	various	various	ADJ
cana-3281	234	9	factors	factor	NOUN
cana-3281	234	10	such	such	ADJ
cana-3281	234	11	as	as	ADP
cana-3281	234	12	the	the	DET
cana-3281	234	13	texture	texture	NOUN
cana-3281	234	14	of	of	ADP
cana-3281	234	15	surfaces	surface	NOUN
cana-3281	234	16	,	,	PUNCT
cana-3281	234	17	object	object	VERB
cana-3281	234	18	density	density	NOUN
cana-3281	234	19	,	,	PUNCT
cana-3281	234	20	edge	edge	NOUN
cana-3281	234	21	sharpness	sharpness	NOUN
cana-3281	234	22	,	,	PUNCT
cana-3281	234	23	resolution	resolution	NOUN
cana-3281	234	24	,	,	PUNCT
cana-3281	234	25	and	and	CCONJ
cana-3281	234	26	the	the	DET
cana-3281	234	27	overall	overall	ADJ
cana-3281	234	28	quality	quality	NOUN
cana-3281	234	29	of	of	ADP
cana-3281	234	30	the	the	DET
cana-3281	234	31	input	input	NOUN
cana-3281	234	32	image	image	NOUN
cana-3281	234	33	.	.	PUNCT
cana-3281	235	1	while	while	SCONJ
cana-3281	235	2	the	the	DET
cana-3281	235	3	generated	generate	VERB
cana-3281	235	4	images	image	NOUN
cana-3281	235	5	closely	closely	ADV
cana-3281	235	6	resemble	resemble	VERB
cana-3281	235	7	the	the	DET
cana-3281	235	8	real	real	ADJ
cana-3281	235	9	ones	one	NOUN
cana-3281	235	10	,	,	PUNCT
cana-3281	235	11	minor	minor	ADJ
cana-3281	235	12	differences	difference	NOUN
cana-3281	235	13	,	,	PUNCT
cana-3281	235	14	such	such	ADJ
cana-3281	235	15	as	as	ADP
cana-3281	235	16	the	the	DET
cana-3281	235	17	level	level	NOUN
cana-3281	235	18	of	of	ADP
cana-3281	235	19	detail	detail	NOUN
cana-3281	235	20	and	and	CCONJ
cana-3281	235	21	sharpness	sharpness	NOUN
cana-3281	235	22	of	of	ADP
cana-3281	235	23	edges	edge	NOUN
cana-3281	235	24	,	,	PUNCT
cana-3281	235	25	may	may	AUX
cana-3281	235	26	still	still	ADV
cana-3281	235	27	be	be	AUX
cana-3281	235	28	apparent	apparent	ADJ
cana-3281	235	29	.	.	PUNCT
cana-3281	236	1	for	for	ADP
cana-3281	236	2	example	example	NOUN
cana-3281	236	3	,	,	PUNCT
cana-3281	236	4	in	in	ADP
cana-3281	236	5	certain	certain	ADJ
cana-3281	236	6	cases	case	NOUN
cana-3281	236	7	,	,	PUNCT
cana-3281	236	8	fine	fine	ADJ
cana-3281	236	9	details	detail	NOUN
cana-3281	236	10	like	like	ADP
cana-3281	236	11	window	window	NOUN
cana-3281	236	12	frames	frame	NOUN
cana-3281	236	13	or	or	CCONJ
cana-3281	236	14	decorative	decorative	ADJ
cana-3281	236	15	elements	element	NOUN
cana-3281	236	16	may	may	AUX
cana-3281	236	17	not	not	PART
cana-3281	236	18	be	be	AUX
cana-3281	236	19	as	as	ADV
cana-3281	236	20	sharp	sharp	ADJ
cana-3281	236	21	in	in	ADP
cana-3281	236	22	the	the	DET
cana-3281	236	23	generated	generate	VERB
cana-3281	236	24	image	image	NOUN
cana-3281	236	25	as	as	ADP
cana-3281	236	26	in	in	ADP
cana-3281	236	27	the	the	DET
cana-3281	236	28	real	real	ADJ
cana-3281	236	29	photograph	photograph	NOUN
cana-3281	236	30	,	,	PUNCT
cana-3281	236	31	though	though	SCONJ
cana-3281	236	32	the	the	DET
cana-3281	236	33	overall	overall	ADJ
cana-3281	236	34	structural	structural	ADJ
cana-3281	236	35	resemblance	resemblance	NOUN
cana-3281	236	36	remains	remain	VERB
cana-3281	236	37	impressive	impressive	ADJ
cana-3281	236	38	.	.	PUNCT
cana-3281	237	1	to	to	PART
cana-3281	237	2	enhance	enhance	VERB
cana-3281	237	3	the	the	DET
cana-3281	237	4	generated	generate	VERB
cana-3281	237	5	images	image	NOUN
cana-3281	237	6	further	far	ADV
cana-3281	237	7	,	,	PUNCT
cana-3281	237	8	esrgan	esrgan	X
cana-3281	237	9	(	(	PUNCT
cana-3281	237	10	enhanced	enhance	VERB
cana-3281	237	11	super	super	ADJ
cana-3281	237	12	-	-	ADJ
cana-3281	237	13	resolution	resolution	ADJ
cana-3281	237	14	gan	gan	NOUN
cana-3281	237	15	)	)	PUNCT
cana-3281	237	16	is	be	AUX
cana-3281	237	17	applied	apply	VERB
cana-3281	237	18	as	as	ADP
cana-3281	237	19	a	a	DET
cana-3281	237	20	post	post	ADJ
cana-3281	237	21	-	-	ADJ
cana-3281	237	22	processing	processing	ADJ
cana-3281	237	23	step	step	NOUN
cana-3281	237	24	.	.	PUNCT
cana-3281	238	1	this	this	DET
cana-3281	238	2	addition	addition	NOUN
cana-3281	238	3	significantly	significantly	ADV
cana-3281	238	4	improves	improve	VERB
cana-3281	238	5	image	image	NOUN
cana-3281	238	6	quality	quality	NOUN
cana-3281	238	7	,	,	PUNCT
cana-3281	238	8	increasing	increase	VERB
cana-3281	238	9	sharpness	sharpness	NOUN
cana-3281	238	10	,	,	PUNCT
cana-3281	238	11	enhancing	enhance	VERB
cana-3281	238	12	texture	texture	ADJ
cana-3281	238	13	details	detail	NOUN
cana-3281	238	14	,	,	PUNCT
cana-3281	238	15	and	and	CCONJ
cana-3281	238	16	making	make	VERB
cana-3281	238	17	the	the	DET
cana-3281	238	18	images	image	NOUN
cana-3281	238	19	more	more	ADV
cana-3281	238	20	realistic	realistic	ADJ
cana-3281	238	21	.	.	PUNCT
cana-3281	239	1	the	the	DET
cana-3281	239	2	improvement	improvement	NOUN
cana-3281	239	3	in	in	ADP
cana-3281	239	4	visual	visual	ADJ
cana-3281	239	5	fidelity	fidelity	NOUN
cana-3281	239	6	is	be	AUX
cana-3281	239	7	notable	notable	ADJ
cana-3281	239	8	,	,	PUNCT
cana-3281	239	9	with	with	ADP
cana-3281	239	10	clearer	clear	ADJ
cana-3281	239	11	edges	edge	NOUN
cana-3281	239	12	,	,	PUNCT
cana-3281	239	13	refined	refined	ADJ
cana-3281	239	14	textures	texture	NOUN
cana-3281	239	15	,	,	PUNCT
cana-3281	239	16	and	and	CCONJ
cana-3281	239	17	overall	overall	ADJ
cana-3281	239	18	better	well	ADJ
cana-3281	239	19	clarity	clarity	NOUN
cana-3281	239	20	.	.	PUNCT
cana-3281	240	1	the	the	DET
cana-3281	240	2	increase	increase	NOUN
cana-3281	240	3	in	in	ADP
cana-3281	240	4	resolution	resolution	NOUN
cana-3281	240	5	,	,	PUNCT
cana-3281	240	6	due	due	ADJ
cana-3281	240	7	to	to	PART
cana-3281	240	8	esrgan	esrgan	VERB
cana-3281	240	9	,	,	PUNCT
cana-3281	240	10	ensures	ensure	VERB
cana-3281	240	11	that	that	SCONJ
cana-3281	240	12	the	the	DET
cana-3281	240	13	images	image	NOUN
cana-3281	240	14	meet	meet	VERB
cana-3281	240	15	higher	high	ADJ
cana-3281	240	16	quality	quality	NOUN
cana-3281	240	17	standards	standard	NOUN
cana-3281	240	18	,	,	PUNCT
cana-3281	240	19	making	make	VERB
cana-3281	240	20	them	they	PRON
cana-3281	240	21	suitable	suitable	ADJ
cana-3281	240	22	for	for	ADP
cana-3281	240	23	a	a	DET
cana-3281	240	24	variety	variety	NOUN
cana-3281	240	25	of	of	ADP
cana-3281	240	26	architectural	architectural	ADJ
cana-3281	240	27	and	and	CCONJ
cana-3281	240	28	design	design	NOUN
cana-3281	240	29	applications	application	NOUN
cana-3281	240	30	where	where	SCONJ
cana-3281	240	31	visual	visual	ADJ
cana-3281	240	32	clarity	clarity	NOUN
cana-3281	240	33	is	be	AUX
cana-3281	240	34	paramount	paramount	ADJ
cana-3281	240	35	.	.	PUNCT
cana-3281	241	1	moreover	moreover	ADV
cana-3281	241	2	,	,	PUNCT
cana-3281	241	3	esrgan	esrgan	VERB
cana-3281	241	4	ensures	ensure	VERB
cana-3281	241	5	compatibility	compatibility	NOUN
cana-3281	241	6	with	with	ADP
cana-3281	241	7	multiple	multiple	ADJ
cana-3281	241	8	formats	format	NOUN
cana-3281	241	9	,	,	PUNCT
cana-3281	241	10	allowing	allow	VERB
cana-3281	241	11	seamless	seamless	ADJ
cana-3281	241	12	integration	integration	NOUN
cana-3281	241	13	of	of	ADP
cana-3281	241	14	the	the	DET
cana-3281	241	15	generated	generate	VERB
cana-3281	241	16	images	image	NOUN
cana-3281	241	17	into	into	ADP
cana-3281	241	18	existing	exist	VERB
cana-3281	241	19	architectural	architectural	ADJ
cana-3281	241	20	workflows	workflow	NOUN
cana-3281	241	21	.	.	PUNCT
cana-3281	242	1	as	as	ADP
cana-3281	242	2	a	a	DET
cana-3281	242	3	result	result	NOUN
cana-3281	242	4	of	of	ADP
cana-3281	242	5	esrgan	esrgan	NOUN
cana-3281	242	6	's	's	PART
cana-3281	242	7	enhancements	enhancement	NOUN
cana-3281	242	8	,	,	PUNCT
cana-3281	242	9	the	the	DET
cana-3281	242	10	overall	overall	ADJ
cana-3281	242	11	accuracy	accuracy	NOUN
cana-3281	242	12	of	of	ADP
cana-3281	242	13	the	the	DET
cana-3281	242	14	generated	generate	VERB
cana-3281	242	15	images	image	NOUN
cana-3281	242	16	increases	increase	NOUN
cana-3281	242	17	,	,	PUNCT
cana-3281	242	18	ranging	range	VERB
cana-3281	242	19	from	from	ADP
cana-3281	242	20	94	94	NUM
cana-3281	242	21	-	-	SYM
cana-3281	242	22	97	97	NUM
cana-3281	242	23	%	%	NOUN
cana-3281	242	24	.	.	PUNCT
cana-3281	243	1	this	this	DET
cana-3281	243	2	significant	significant	ADJ
cana-3281	243	3	improvement	improvement	NOUN
cana-3281	243	4	reflects	reflect	VERB
cana-3281	243	5	the	the	DET
cana-3281	243	6	model	model	NOUN
cana-3281	243	7	’s	’s	PART
cana-3281	243	8	ability	ability	NOUN
cana-3281	243	9	to	to	PART
cana-3281	243	10	refine	refine	VERB
cana-3281	243	11	and	and	CCONJ
cana-3281	243	12	enhance	enhance	VERB
cana-3281	243	13	key	key	ADJ
cana-3281	243	14	architectural	architectural	ADJ
cana-3281	243	15	details	detail	NOUN
cana-3281	243	16	,	,	PUNCT
cana-3281	243	17	achieving	achieve	VERB
cana-3281	243	18	even	even	ADV
cana-3281	243	19	closer	close	ADJ
cana-3281	243	20	alignment	alignment	NOUN
cana-3281	243	21	with	with	ADP
cana-3281	243	22	the	the	DET
cana-3281	243	23	original	original	ADJ
cana-3281	243	24	designs	design	NOUN
cana-3281	243	25	represented	represent	VERB
cana-3281	243	26	in	in	ADP
cana-3281	243	27	the	the	DET
cana-3281	243	28	input	input	NOUN
cana-3281	243	29	sketches	sketch	NOUN
cana-3281	243	30	.	.	PUNCT
cana-3281	244	1	the	the	DET
cana-3281	244	2	higher	high	ADJ
cana-3281	244	3	resolution	resolution	NOUN
cana-3281	244	4	and	and	CCONJ
cana-3281	244	5	enhanced	enhance	VERB
cana-3281	244	6	quality	quality	NOUN
cana-3281	244	7	make	make	VERB
cana-3281	244	8	these	these	DET
cana-3281	244	9	images	image	NOUN
cana-3281	244	10	ideal	ideal	ADJ
cana-3281	244	11	for	for	ADP
cana-3281	244	12	use	use	NOUN
cana-3281	244	13	in	in	ADP
cana-3281	244	14	client	client	NOUN
cana-3281	244	15	presentations	presentation	NOUN
cana-3281	244	16	,	,	PUNCT
cana-3281	244	17	design	design	NOUN
cana-3281	244	18	explorations	exploration	NOUN
cana-3281	244	19	,	,	PUNCT
cana-3281	244	20	and	and	CCONJ
cana-3281	244	21	architectural	architectural	ADJ
cana-3281	244	22	documentation	documentation	NOUN
cana-3281	244	23	.	.	PUNCT
cana-3281	245	1	ultimately	ultimately	ADV
cana-3281	245	2	,	,	PUNCT
cana-3281	245	3	the	the	DET
cana-3281	245	4	model	model	NOUN
cana-3281	245	5	,	,	PUNCT
cana-3281	245	6	combined	combine	VERB
cana-3281	245	7	with	with	ADP
cana-3281	245	8	esrgan	esrgan	NOUN
cana-3281	245	9	’s	’s	PART
cana-3281	245	10	post	post	ADJ
cana-3281	245	11	-	-	ADJ
cana-3281	245	12	processing	processing	ADJ
cana-3281	245	13	capabilities	capability	NOUN
cana-3281	245	14	,	,	PUNCT
cana-3281	245	15	offers	offer	VERB
cana-3281	245	16	a	a	DET
cana-3281	245	17	powerful	powerful	ADJ
cana-3281	245	18	solution	solution	NOUN
cana-3281	245	19	for	for	ADP
cana-3281	245	20	translating	translate	VERB
cana-3281	245	21	conceptual	conceptual	ADJ
cana-3281	245	22	sketches	sketch	NOUN
cana-3281	245	23	into	into	ADP
cana-3281	245	24	highly	highly	ADV
cana-3281	245	25	realistic	realistic	ADJ
cana-3281	245	26	,	,	PUNCT
cana-3281	245	27	detailed	detailed	ADJ
cana-3281	245	28	images	image	NOUN
cana-3281	245	29	that	that	PRON
cana-3281	245	30	closely	closely	ADV
cana-3281	245	31	resemble	resemble	VERB
cana-3281	245	32	real	real	ADJ
cana-3281	245	33	-	-	PUNCT
cana-3281	245	34	world	world	NOUN
cana-3281	245	35	structures	structure	NOUN
cana-3281	245	36	fig	fig	NOUN
cana-3281	245	37	.	.	PUNCT
cana-3281	246	1	7	7	NUM
cana-3281	246	2	:	:	PUNCT
cana-3281	246	3	comparative	comparative	ADJ
cana-3281	246	4	analysis	analysis	NOUN
cana-3281	246	5	of	of	ADP
cana-3281	246	6	pixel	pixel	ADJ
cana-3281	246	7	discrepancies	discrepancy	NOUN
cana-3281	246	8	2	2	NUM
cana-3281	246	9	communications	communication	NOUN
cana-3281	246	10	on	on	ADP
cana-3281	246	11	applied	apply	VERB
cana-3281	246	12	nonlinear	nonlinear	ADJ
cana-3281	246	13	analysis	analysis	NOUN
cana-3281	246	14	issn	issn	NOUN
cana-3281	246	15	:	:	PUNCT
cana-3281	246	16	1074	1074	NUM
cana-3281	246	17	-	-	PUNCT
cana-3281	246	18	133x	133x	NUM
cana-3281	246	19	vol	vol	NOUN
cana-3281	246	20	32	32	NUM
cana-3281	246	21	no	no	NOUN
cana-3281	246	22	.	.	PUNCT
cana-3281	247	1	6s	6s	NUM
cana-3281	247	2	(	(	PUNCT
cana-3281	247	3	2025	2025	NUM
cana-3281	247	4	)	)	PUNCT
cana-3281	247	5	148	148	NUM
cana-3281	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	247	7	fig	fig	NOUN
cana-3281	247	8	.	.	PUNCT
cana-3281	248	1	8	8	NUM
cana-3281	248	2	:	:	PUNCT
cana-3281	248	3	esrgan	esrgan	VERB
cana-3281	248	4	image	image	NOUN
cana-3281	248	5	enhnacement	enhnacement	NOUN
cana-3281	248	6	figure	figure	NOUN
cana-3281	248	7	8	8	NUM
cana-3281	248	8	shows	show	VERB
cana-3281	248	9	the	the	DET
cana-3281	248	10	significant	significant	ADJ
cana-3281	248	11	enhancement	enhancement	NOUN
cana-3281	248	12	in	in	ADP
cana-3281	248	13	resolution	resolution	NOUN
cana-3281	248	14	of	of	ADP
cana-3281	248	15	input	input	NOUN
cana-3281	248	16	image	image	NOUN
cana-3281	248	17	when	when	SCONJ
cana-3281	248	18	passed	pass	VERB
cana-3281	248	19	through	through	ADP
cana-3281	248	20	esrgan	esrgan	NOUN
cana-3281	248	21	.	.	PUNCT
cana-3281	249	1	comparison	comparison	NOUN
cana-3281	249	2	v.	v.	ADP
cana-3281	249	3	limitations	limitation	NOUN
cana-3281	249	4	and	and	CCONJ
cana-3281	249	5	future	future	ADJ
cana-3281	249	6	scope	scope	NOUN
cana-3281	249	7	although	although	SCONJ
cana-3281	249	8	hierarchical	hierarchical	ADJ
cana-3281	249	9	gans	gan	NOUN
cana-3281	249	10	have	have	AUX
cana-3281	249	11	made	make	VERB
cana-3281	249	12	significant	significant	ADJ
cana-3281	249	13	strides	stride	NOUN
cana-3281	249	14	in	in	ADP
cana-3281	249	15	generating	generate	VERB
cana-3281	249	16	images	image	NOUN
cana-3281	249	17	from	from	ADP
cana-3281	249	18	sketches	sketch	NOUN
cana-3281	249	19	,	,	PUNCT
cana-3281	249	20	they	they	PRON
cana-3281	249	21	still	still	ADV
cana-3281	249	22	present	present	VERB
cana-3281	249	23	several	several	ADJ
cana-3281	249	24	challenges	challenge	NOUN
cana-3281	249	25	:	:	PUNCT
cana-3281	249	26	1	1	X
cana-3281	249	27	.	.	X
cana-3281	249	28	data	datum	NOUN
cana-3281	249	29	dependency	dependency	NOUN
cana-3281	249	30	:	:	PUNCT
cana-3281	249	31	the	the	DET
cana-3281	249	32	effectiveness	effectiveness	NOUN
cana-3281	249	33	of	of	ADP
cana-3281	249	34	gan	gan	PROPN
cana-3281	249	35	models	model	NOUN
cana-3281	249	36	heavily	heavily	ADV
cana-3281	249	37	relies	rely	VERB
cana-3281	249	38	on	on	ADP
cana-3281	249	39	the	the	DET
cana-3281	249	40	volume	volume	NOUN
cana-3281	249	41	and	and	CCONJ
cana-3281	249	42	quality	quality	NOUN
cana-3281	249	43	of	of	ADP
cana-3281	249	44	the	the	DET
cana-3281	249	45	training	training	NOUN
cana-3281	249	46	data	datum	NOUN
cana-3281	249	47	.	.	PUNCT
cana-3281	250	1	insufficient	insufficient	ADJ
cana-3281	250	2	or	or	CCONJ
cana-3281	250	3	skewed	skewed	ADJ
cana-3281	250	4	datasets	dataset	NOUN
cana-3281	250	5	can	can	AUX
cana-3281	250	6	reduce	reduce	VERB
cana-3281	250	7	the	the	DET
cana-3281	250	8	accuracy	accuracy	NOUN
cana-3281	250	9	and	and	CCONJ
cana-3281	250	10	generalization	generalization	NOUN
cana-3281	250	11	of	of	ADP
cana-3281	250	12	the	the	DET
cana-3281	250	13	generated	generate	VERB
cana-3281	250	14	images	image	NOUN
cana-3281	250	15	,	,	PUNCT
cana-3281	250	16	especially	especially	ADV
cana-3281	250	17	in	in	ADP
cana-3281	250	18	categories	category	NOUN
cana-3281	250	19	with	with	ADP
cana-3281	250	20	limited	limited	ADJ
cana-3281	250	21	representation	representation	NOUN
cana-3281	250	22	.	.	PUNCT
cana-3281	251	1	2	2	X
cana-3281	251	2	.	.	X
cana-3281	251	3	computational	computational	ADJ
cana-3281	251	4	resources	resource	NOUN
cana-3281	251	5	:	:	PUNCT
cana-3281	251	6	utilizing	utilize	VERB
cana-3281	251	7	multiple	multiple	ADJ
cana-3281	251	8	gan	gan	PROPN
cana-3281	251	9	architectures	architecture	NOUN
cana-3281	251	10	,	,	PUNCT
cana-3281	251	11	such	such	ADJ
cana-3281	251	12	as	as	ADP
cana-3281	251	13	stylegan	stylegan	NOUN
cana-3281	251	14	and	and	CCONJ
cana-3281	251	15	esrgan	esrgan	NOUN
cana-3281	251	16	,	,	PUNCT
cana-3281	251	17	involves	involve	VERB
cana-3281	251	18	substantial	substantial	ADJ
cana-3281	251	19	computational	computational	ADJ
cana-3281	251	20	demands	demand	NOUN
cana-3281	251	21	.	.	PUNCT
cana-3281	252	1	high	high	ADJ
cana-3281	252	2	gpu	gpu	NOUN
cana-3281	252	3	requirements	requirement	NOUN
cana-3281	252	4	for	for	ADP
cana-3281	252	5	both	both	DET
cana-3281	252	6	training	training	NOUN
cana-3281	252	7	and	and	CCONJ
cana-3281	252	8	inference	inference	NOUN
cana-3281	252	9	pose	pose	VERB
cana-3281	252	10	a	a	DET
cana-3281	252	11	barrier	barrier	NOUN
cana-3281	252	12	,	,	PUNCT
cana-3281	252	13	making	make	VERB
cana-3281	252	14	it	it	PRON
cana-3281	252	15	difficult	difficult	ADJ
cana-3281	252	16	for	for	SCONJ
cana-3281	252	17	all	all	DET
cana-3281	252	18	researchers	researcher	NOUN
cana-3281	252	19	and	and	CCONJ
cana-3281	252	20	practitioners	practitioner	NOUN
cana-3281	252	21	to	to	PART
cana-3281	252	22	access	access	VERB
cana-3281	252	23	the	the	DET
cana-3281	252	24	necessary	necessary	ADJ
cana-3281	252	25	resources	resource	NOUN
cana-3281	252	26	3	3	NUM
cana-3281	252	27	.	.	PUNCT
cana-3281	252	28	model	model	NOUN
cana-3281	252	29	stability	stability	NOUN
cana-3281	252	30	:	:	PUNCT
cana-3281	252	31	gans	gan	NOUN
cana-3281	252	32	are	be	AUX
cana-3281	252	33	known	know	VERB
cana-3281	252	34	for	for	ADP
cana-3281	252	35	their	their	PRON
cana-3281	252	36	instability	instability	NOUN
cana-3281	252	37	during	during	ADP
cana-3281	252	38	training	training	NOUN
cana-3281	252	39	,	,	PUNCT
cana-3281	252	40	especially	especially	ADV
cana-3281	252	41	when	when	SCONJ
cana-3281	252	42	combining	combine	VERB
cana-3281	252	43	different	different	ADJ
cana-3281	252	44	architectures	architecture	NOUN
cana-3281	252	45	like	like	ADP
cana-3281	252	46	pix2pix	pix2pix	NOUN
cana-3281	252	47	and	and	CCONJ
cana-3281	252	48	stylegan	stylegan	NOUN
cana-3281	252	49	.	.	PUNCT
cana-3281	253	1	challenges	challenge	NOUN
cana-3281	253	2	such	such	ADJ
cana-3281	253	3	as	as	ADP
cana-3281	253	4	mode	mode	NOUN
cana-3281	253	5	collapse	collapse	NOUN
cana-3281	253	6	and	and	CCONJ
cana-3281	253	7	failure	failure	NOUN
cana-3281	253	8	to	to	PART
cana-3281	253	9	converge	converge	VERB
cana-3281	253	10	can	can	AUX
cana-3281	253	11	arise	arise	VERB
cana-3281	253	12	,	,	PUNCT
cana-3281	253	13	resulting	result	VERB
cana-3281	253	14	in	in	ADP
cana-3281	253	15	inconsistent	inconsistent	ADJ
cana-3281	253	16	output	output	NOUN
cana-3281	253	17	quality	quality	NOUN
cana-3281	253	18	and	and	CCONJ
cana-3281	253	19	subpar	subpar	ADJ
cana-3281	253	20	performance	performance	NOUN
cana-3281	253	21	.	.	PUNCT
cana-3281	254	1	4	4	X
cana-3281	254	2	.	.	X
cana-3281	254	3	realism	realism	NOUN
cana-3281	254	4	vs.	vs.	ADP
cana-3281	254	5	diversity	diversity	NOUN
cana-3281	254	6	:	:	PUNCT
cana-3281	254	7	although	although	SCONJ
cana-3281	254	8	the	the	DET
cana-3281	254	9	integrated	integrate	VERB
cana-3281	254	10	system	system	NOUN
cana-3281	254	11	aims	aim	VERB
cana-3281	254	12	to	to	PART
cana-3281	254	13	improve	improve	VERB
cana-3281	254	14	the	the	DET
cana-3281	254	15	realism	realism	NOUN
cana-3281	254	16	of	of	ADP
cana-3281	254	17	generated	generate	VERB
cana-3281	254	18	images	image	NOUN
cana-3281	254	19	,	,	PUNCT
cana-3281	254	20	balancing	balance	VERB
cana-3281	254	21	realism	realism	NOUN
cana-3281	254	22	with	with	ADP
cana-3281	254	23	diversity	diversity	NOUN
cana-3281	254	24	is	be	AUX
cana-3281	254	25	still	still	ADV
cana-3281	254	26	a	a	DET
cana-3281	254	27	significant	significant	ADJ
cana-3281	254	28	challenge	challenge	NOUN
cana-3281	254	29	.	.	PUNCT
cana-3281	255	1	the	the	DET
cana-3281	255	2	models	model	NOUN
cana-3281	255	3	may	may	AUX
cana-3281	255	4	tend	tend	VERB
cana-3281	255	5	to	to	PART
cana-3281	255	6	favor	favor	VERB
cana-3281	255	7	generating	generate	VERB
cana-3281	255	8	more	more	ADV
cana-3281	255	9	common	common	ADJ
cana-3281	255	10	image	image	NOUN
cana-3281	255	11	types	type	NOUN
cana-3281	255	12	,	,	PUNCT
cana-3281	255	13	which	which	PRON
cana-3281	255	14	could	could	AUX
cana-3281	255	15	reduce	reduce	VERB
cana-3281	255	16	the	the	DET
cana-3281	255	17	overall	overall	ADJ
cana-3281	255	18	variety	variety	NOUN
cana-3281	255	19	of	of	ADP
cana-3281	255	20	outputs	output	NOUN
cana-3281	255	21	.	.	PUNCT
cana-3281	256	1	vi	vi	X
cana-3281	256	2	.	.	PROPN
cana-3281	256	3	conclusion	conclusion	NOUN
cana-3281	256	4	this	this	DET
cana-3281	256	5	research	research	NOUN
cana-3281	256	6	introduces	introduce	VERB
cana-3281	256	7	an	an	DET
cana-3281	256	8	innovative	innovative	ADJ
cana-3281	256	9	method	method	NOUN
cana-3281	256	10	for	for	ADP
cana-3281	256	11	generating	generate	VERB
cana-3281	256	12	high	high	ADJ
cana-3281	256	13	-	-	PUNCT
cana-3281	256	14	resolution	resolution	NOUN
cana-3281	256	15	,	,	PUNCT
cana-3281	256	16	photorealistic	photorealistic	ADJ
cana-3281	256	17	images	image	NOUN
cana-3281	256	18	from	from	ADP
cana-3281	256	19	sketches	sketch	NOUN
cana-3281	256	20	through	through	ADP
cana-3281	256	21	a	a	DET
cana-3281	256	22	multi	multi	ADJ
cana-3281	256	23	-	-	ADJ
cana-3281	256	24	gan	gan	ADJ
cana-3281	256	25	architecture	architecture	NOUN
cana-3281	256	26	.	.	PUNCT
cana-3281	257	1	by	by	ADP
cana-3281	257	2	incorporating	incorporate	VERB
cana-3281	257	3	stylegan	stylegan	NOUN
cana-3281	257	4	for	for	ADP
cana-3281	257	5	initial	initial	ADJ
cana-3281	257	6	image	image	NOUN
cana-3281	257	7	creation	creation	NOUN
cana-3281	257	8	,	,	PUNCT
cana-3281	257	9	pix2pix	pix2pix	PROPN
cana-3281	257	10	gan	gan	NOUN
cana-3281	257	11	for	for	ADP
cana-3281	257	12	refinement	refinement	NOUN
cana-3281	257	13	,	,	PUNCT
cana-3281	257	14	and	and	CCONJ
cana-3281	257	15	esrgan	esrgan	VERB
cana-3281	257	16	for	for	ADP
cana-3281	257	17	super	super	ADJ
cana-3281	257	18	-	-	ADJ
cana-3281	257	19	resolution	resolution	ADJ
cana-3281	257	20	enhancement	enhancement	NOUN
cana-3281	257	21	,	,	PUNCT
cana-3281	257	22	we	we	PRON
cana-3281	257	23	have	have	AUX
cana-3281	257	24	established	establish	VERB
cana-3281	257	25	a	a	DET
cana-3281	257	26	system	system	NOUN
cana-3281	257	27	that	that	PRON
cana-3281	257	28	effectively	effectively	ADV
cana-3281	257	29	transforms	transform	VERB
cana-3281	257	30	simple	simple	ADJ
cana-3281	257	31	sketches	sketch	NOUN
cana-3281	257	32	into	into	ADP
cana-3281	257	33	intricate	intricate	ADJ
cana-3281	257	34	images	image	NOUN
cana-3281	257	35	with	with	ADP
cana-3281	257	36	exceptional	exceptional	ADJ
cana-3281	257	37	fidelity	fidelity	NOUN
cana-3281	257	38	.	.	PUNCT
cana-3281	258	1	additionally	additionally	ADV
cana-3281	258	2	,	,	PUNCT
cana-3281	258	3	employing	employ	VERB
cana-3281	258	4	a	a	DET
cana-3281	258	5	multi	multi	ADJ
cana-3281	258	6	-	-	ADJ
cana-3281	258	7	class	class	ADJ
cana-3281	258	8	cnn	cnn	NOUN
cana-3281	258	9	for	for	ADP
cana-3281	258	10	preliminary	preliminary	ADJ
cana-3281	258	11	image	image	NOUN
cana-3281	258	12	categorization	categorization	NOUN
cana-3281	258	13	enhances	enhance	VERB
cana-3281	258	14	the	the	DET
cana-3281	258	15	model	model	NOUN
cana-3281	258	16	’s	’s	PART
cana-3281	258	17	applicability	applicability	NOUN
cana-3281	258	18	across	across	ADP
cana-3281	258	19	various	various	ADJ
cana-3281	258	20	domains	domain	NOUN
cana-3281	258	21	,	,	PUNCT
cana-3281	258	22	including	include	VERB
cana-3281	258	23	architecture	architecture	NOUN
cana-3281	258	24	and	and	CCONJ
cana-3281	258	25	fashion	fashion	NOUN
cana-3281	258	26	.	.	PUNCT
cana-3281	259	1	communications	communication	NOUN
cana-3281	259	2	on	on	ADP
cana-3281	259	3	applied	apply	VERB
cana-3281	259	4	nonlinear	nonlinear	ADJ
cana-3281	259	5	analysis	analysis	NOUN
cana-3281	259	6	issn	issn	NOUN
cana-3281	259	7	:	:	PUNCT
cana-3281	259	8	1074	1074	NUM
cana-3281	259	9	-	-	PUNCT
cana-3281	259	10	133x	133x	NUM
cana-3281	259	11	vol	vol	NOUN
cana-3281	259	12	32	32	NUM
cana-3281	259	13	no	no	NOUN
cana-3281	259	14	.	.	PUNCT
cana-3281	260	1	6s	6s	NUM
cana-3281	260	2	(	(	PUNCT
cana-3281	260	3	2025	2025	NUM
cana-3281	260	4	)	)	PUNCT
cana-3281	260	5	149	149	NUM
cana-3281	260	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	260	7	our	our	PRON
cana-3281	260	8	results	result	NOUN
cana-3281	260	9	indicate	indicate	VERB
cana-3281	260	10	considerable	considerable	ADJ
cana-3281	260	11	advancements	advancement	NOUN
cana-3281	260	12	in	in	ADP
cana-3281	260	13	per	per	ADP
cana-3281	260	14	-	-	PUNCT
cana-3281	260	15	pixel	pixel	NOUN
cana-3281	260	16	accuracy	accuracy	NOUN
cana-3281	260	17	,	,	PUNCT
cana-3281	260	18	per	per	ADP
cana-3281	260	19	-	-	PUNCT
cana-3281	260	20	class	class	NOUN
cana-3281	260	21	accuracy	accuracy	NOUN
cana-3281	260	22	,	,	PUNCT
cana-3281	260	23	and	and	CCONJ
cana-3281	260	24	class	class	NOUN
cana-3281	260	25	intersection	intersection	NOUN
cana-3281	260	26	over	over	ADP
cana-3281	260	27	union	union	NOUN
cana-3281	260	28	(	(	PUNCT
cana-3281	260	29	iou	iou	NOUN
cana-3281	260	30	)	)	PUNCT
cana-3281	260	31	compared	compare	VERB
cana-3281	260	32	to	to	ADP
cana-3281	260	33	traditional	traditional	ADJ
cana-3281	260	34	single	single	ADJ
cana-3281	260	35	-	-	PUNCT
cana-3281	260	36	gan	gin	VERB
cana-3281	260	37	approaches	approach	NOUN
cana-3281	260	38	.	.	PUNCT
cana-3281	261	1	the	the	DET
cana-3281	261	2	capability	capability	NOUN
cana-3281	261	3	to	to	PART
cana-3281	261	4	produce	produce	VERB
cana-3281	261	5	detailed	detailed	ADJ
cana-3281	261	6	,	,	PUNCT
cana-3281	261	7	high	high	ADJ
cana-3281	261	8	-	-	PUNCT
cana-3281	261	9	quality	quality	NOUN
cana-3281	261	10	images	image	NOUN
cana-3281	261	11	from	from	ADP
cana-3281	261	12	basic	basic	ADJ
cana-3281	261	13	sketches	sketch	NOUN
cana-3281	261	14	opens	open	VERB
cana-3281	261	15	up	up	ADP
cana-3281	261	16	promising	promise	VERB
cana-3281	261	17	opportunities	opportunity	NOUN
cana-3281	261	18	in	in	ADP
cana-3281	261	19	design	design	NOUN
cana-3281	261	20	,	,	PUNCT
cana-3281	261	21	art	art	NOUN
cana-3281	261	22	,	,	PUNCT
cana-3281	261	23	and	and	CCONJ
cana-3281	261	24	visual	visual	ADJ
cana-3281	261	25	communication	communication	NOUN
cana-3281	261	26	.	.	PUNCT
cana-3281	262	1	looking	look	VERB
cana-3281	262	2	ahead	ahead	ADV
cana-3281	262	3	,	,	PUNCT
cana-3281	262	4	future	future	ADJ
cana-3281	262	5	research	research	NOUN
cana-3281	262	6	will	will	AUX
cana-3281	262	7	aim	aim	VERB
cana-3281	262	8	to	to	PART
cana-3281	262	9	tackle	tackle	VERB
cana-3281	262	10	the	the	DET
cana-3281	262	11	identified	identify	VERB
cana-3281	262	12	limitations	limitation	NOUN
cana-3281	262	13	by	by	ADP
cana-3281	262	14	investigating	investigate	VERB
cana-3281	262	15	more	more	ADV
cana-3281	262	16	efficient	efficient	ADJ
cana-3281	262	17	model	model	NOUN
cana-3281	262	18	architectures	architecture	NOUN
cana-3281	262	19	,	,	PUNCT
cana-3281	262	20	enhancing	enhance	VERB
cana-3281	262	21	the	the	DET
cana-3281	262	22	stability	stability	NOUN
cana-3281	262	23	of	of	ADP
cana-3281	262	24	gan	gan	ADJ
cana-3281	262	25	training	training	NOUN
cana-3281	262	26	,	,	PUNCT
cana-3281	262	27	and	and	CCONJ
cana-3281	262	28	increasing	increase	VERB
cana-3281	262	29	the	the	DET
cana-3281	262	30	diversity	diversity	NOUN
cana-3281	262	31	of	of	ADP
cana-3281	262	32	generated	generate	VERB
cana-3281	262	33	images	image	NOUN
cana-3281	262	34	.	.	PUNCT
cana-3281	263	1	furthermore	furthermore	ADV
cana-3281	263	2	,	,	PUNCT
cana-3281	263	3	the	the	DET
cana-3281	263	4	creation	creation	NOUN
cana-3281	263	5	of	of	ADP
cana-3281	263	6	more	more	ADV
cana-3281	263	7	sophisticated	sophisticated	ADJ
cana-3281	263	8	evaluation	evaluation	NOUN
cana-3281	263	9	metrics	metric	NOUN
cana-3281	263	10	that	that	PRON
cana-3281	263	11	can	can	AUX
cana-3281	263	12	effectively	effectively	ADV
cana-3281	263	13	assess	assess	VERB
cana-3281	263	14	the	the	DET
cana-3281	263	15	artistic	artistic	ADJ
cana-3281	263	16	and	and	CCONJ
cana-3281	263	17	perceptual	perceptual	ADJ
cana-3281	263	18	qualities	quality	NOUN
cana-3281	263	19	of	of	ADP
cana-3281	263	20	the	the	DET
cana-3281	263	21	generated	generate	VERB
cana-3281	263	22	images	image	NOUN
cana-3281	263	23	will	will	AUX
cana-3281	263	24	be	be	AUX
cana-3281	263	25	essential	essential	ADJ
cana-3281	263	26	for	for	ADP
cana-3281	263	27	advancing	advance	VERB
cana-3281	263	28	the	the	DET
cana-3281	263	29	field	field	NOUN
cana-3281	263	30	of	of	ADP
cana-3281	263	31	aidriven	aidriven	ADJ
cana-3281	263	32	image	image	NOUN
cana-3281	263	33	synthesis	synthesis	NOUN
cana-3281	263	34	.	.	PUNCT
cana-3281	264	1	this	this	DET
cana-3281	264	2	study	study	NOUN
cana-3281	264	3	highlights	highlight	VERB
cana-3281	264	4	the	the	DET
cana-3281	264	5	significant	significant	ADJ
cana-3281	264	6	potential	potential	NOUN
cana-3281	264	7	of	of	ADP
cana-3281	264	8	advanced	advanced	ADJ
cana-3281	264	9	generative	generative	ADJ
cana-3281	264	10	models	model	NOUN
cana-3281	264	11	in	in	ADP
cana-3281	264	12	creative	creative	ADJ
cana-3281	264	13	and	and	CCONJ
cana-3281	264	14	design	design	NOUN
cana-3281	264	15	applications	application	NOUN
cana-3281	264	16	and	and	CCONJ
cana-3281	264	17	lays	lay	VERB
cana-3281	264	18	the	the	DET
cana-3281	264	19	groundwork	groundwork	NOUN
cana-3281	264	20	for	for	ADP
cana-3281	264	21	future	future	ADJ
cana-3281	264	22	innovations	innovation	NOUN
cana-3281	264	23	in	in	ADP
cana-3281	264	24	automated	automate	VERB
cana-3281	264	25	image	image	NOUN
cana-3281	264	26	generation	generation	NOUN
cana-3281	264	27	.	.	PUNCT
cana-3281	265	1	references	reference	NOUN
cana-3281	265	2	[	[	X
cana-3281	265	3	1	1	NUM
cana-3281	265	4	]	]	X
cana-3281	265	5	vaswani	vaswani	NOUN
cana-3281	265	6	,	,	PUNCT
cana-3281	265	7	a.	a.	NOUN
cana-3281	265	8	,	,	PUNCT
cana-3281	265	9	shazeer	shazeer	NOUN
cana-3281	265	10	,	,	PUNCT
cana-3281	265	11	n.	n.	NOUN
cana-3281	265	12	,	,	PUNCT
cana-3281	265	13	parmar	parmar	PROPN
cana-3281	265	14	,	,	PUNCT
cana-3281	265	15	n.	n.	NOUN
cana-3281	265	16	,	,	PUNCT
cana-3281	265	17	uszkoreit	uszkoreit	PROPN
cana-3281	265	18	,	,	PUNCT
cana-3281	265	19	j.	j.	PROPN
cana-3281	265	20	,	,	PUNCT
cana-3281	265	21	jones	jones	PROPN
cana-3281	265	22	,	,	PUNCT
cana-3281	265	23	l.	l.	PROPN
cana-3281	265	24	,	,	PUNCT
cana-3281	265	25	gomez	gomez	PROPN
cana-3281	265	26	and	and	CCONJ
cana-3281	265	27	polosukhin	polosukhin	PROPN
cana-3281	265	28	,	,	PUNCT
cana-3281	265	29	i.	i.	NOUN
cana-3281	265	30	(	(	PUNCT
cana-3281	265	31	2017	2017	NUM
cana-3281	265	32	)	)	PUNCT
cana-3281	265	33	.	.	PUNCT
cana-3281	266	1	attention	attention	NOUN
cana-3281	266	2	is	be	AUX
cana-3281	266	3	all	all	PRON
cana-3281	266	4	you	you	PRON
cana-3281	266	5	need	need	VERB
cana-3281	266	6	.	.	PUNCT
cana-3281	267	1	in	in	ADP
cana-3281	267	2	advances	advance	NOUN
cana-3281	267	3	in	in	ADP
cana-3281	267	4	neural	neural	ADJ
cana-3281	267	5	information	information	NOUN
cana-3281	267	6	processing	processing	NOUN
cana-3281	267	7	systems	system	NOUN
cana-3281	267	8	,	,	PUNCT
cana-3281	267	9	30	30	NUM
cana-3281	267	10	,	,	PUNCT
cana-3281	267	11	5998	5998	NUM
cana-3281	267	12	-	-	SYM
cana-3281	267	13	6008	6008	NUM
cana-3281	267	14	.	.	PUNCT
cana-3281	268	1	[	[	X
cana-3281	268	2	2	2	NUM
cana-3281	268	3	]	]	X
cana-3281	268	4	zhang	zhang	PROPN
cana-3281	268	5	,	,	PUNCT
cana-3281	268	6	h.	h.	PROPN
cana-3281	268	7	,	,	PUNCT
cana-3281	268	8	wang	wang	PROPN
cana-3281	268	9	,	,	PUNCT
cana-3281	268	10	y.	y.	PROPN
cana-3281	268	11	and	and	CCONJ
cana-3281	268	12	zhang	zhang	PROPN
cana-3281	268	13	,	,	PUNCT
cana-3281	268	14	j.	j.	PROPN
cana-3281	268	15	(	(	PUNCT
cana-3281	268	16	2023	2023	NUM
cana-3281	268	17	)	)	PUNCT
cana-3281	268	18	.	.	PUNCT
cana-3281	269	1	a	a	DET
cana-3281	269	2	taxonomy	taxonomy	NOUN
cana-3281	269	3	and	and	CCONJ
cana-3281	269	4	review	review	NOUN
cana-3281	269	5	of	of	ADP
cana-3281	269	6	generative	generative	ADJ
cana-3281	269	7	adversarial	adversarial	ADJ
cana-3281	269	8	networks	network	NOUN
cana-3281	269	9	for	for	ADP
cana-3281	269	10	image	image	NOUN
cana-3281	269	11	synthesis	synthesis	NOUN
cana-3281	269	12	.	.	PUNCT
cana-3281	270	1	acm	acm	NOUN
cana-3281	270	2	transactions	transaction	NOUN
cana-3281	270	3	on	on	ADP
cana-3281	270	4	graphics	graphic	NOUN
cana-3281	270	5	(	(	PUNCT
cana-3281	270	6	tog	tog	PROPN
cana-3281	270	7	)	)	PUNCT
cana-3281	270	8	,	,	PUNCT
cana-3281	270	9	42(2	42(2	PROPN
cana-3281	270	10	)	)	PUNCT
cana-3281	270	11	,	,	PUNCT
cana-3281	270	12	1	1	NUM
cana-3281	270	13	-	-	SYM
cana-3281	270	14	25	25	NUM
cana-3281	270	15	.	.	PUNCT
cana-3281	271	1	[	[	X
cana-3281	271	2	3	3	NUM
cana-3281	271	3	]	]	X
cana-3281	271	4	huang	huang	PROPN
cana-3281	271	5	,	,	PUNCT
cana-3281	271	6	zhao	zhao	PROPN
cana-3281	271	7	and	and	CCONJ
cana-3281	271	8	wang	wang	PROPN
cana-3281	271	9	,	,	PUNCT
cana-3281	271	10	x.	x.	NOUN
cana-3281	271	11	(	(	PUNCT
cana-3281	271	12	2022	2022	NUM
cana-3281	271	13	)	)	PUNCT
cana-3281	271	14	.	.	PUNCT
cana-3281	272	1	stacked	stack	VERB
cana-3281	272	2	generative	generative	ADJ
cana-3281	272	3	adversarial	adversarial	ADJ
cana-3281	272	4	networks	network	NOUN
cana-3281	272	5	for	for	ADP
cana-3281	272	6	high	high	ADJ
cana-3281	272	7	-	-	PUNCT
cana-3281	272	8	quality	quality	NOUN
cana-3281	272	9	image	image	NOUN
cana-3281	272	10	generation	generation	NOUN
cana-3281	272	11	.	.	PUNCT
cana-3281	273	1	ieee	ieee	NOUN
cana-3281	273	2	transactions	transaction	NOUN
cana-3281	273	3	on	on	ADP
cana-3281	273	4	neural	neural	ADJ
cana-3281	273	5	networks	network	NOUN
cana-3281	273	6	and	and	CCONJ
cana-3281	273	7	learning	learning	NOUN
cana-3281	273	8	systems	system	NOUN
cana-3281	273	9	,	,	PUNCT
cana-3281	273	10	33(1	33(1	NUM
cana-3281	273	11	)	)	PUNCT
cana-3281	273	12	,	,	PUNCT
cana-3281	273	13	34	34	NUM
cana-3281	273	14	-	-	SYM
cana-3281	273	15	47	47	NUM
cana-3281	273	16	.	.	PUNCT
cana-3281	274	1	[	[	X
cana-3281	274	2	4	4	NUM
cana-3281	274	3	]	]	X
cana-3281	274	4	wang	wang	PROPN
cana-3281	274	5	,	,	PUNCT
cana-3281	274	6	s.	s.	PROPN
cana-3281	274	7	,	,	PUNCT
cana-3281	274	8	liu	liu	PROPN
cana-3281	274	9	,	,	PUNCT
cana-3281	274	10	m.	m.	NOUN
cana-3281	274	11	,	,	PUNCT
cana-3281	274	12	and	and	CCONJ
cana-3281	274	13	tuzel	tuzel	ADJ
cana-3281	274	14	,	,	PUNCT
cana-3281	274	15	o.	o.	NOUN
cana-3281	274	16	(	(	PUNCT
cana-3281	274	17	2021	2021	NUM
cana-3281	274	18	)	)	PUNCT
cana-3281	274	19	.	.	PUNCT
cana-3281	275	1	gan	gan	PROPN
cana-3281	275	2	sketching	sketching	NOUN
cana-3281	275	3	:	:	PUNCT
cana-3281	275	4	modifying	modify	VERB
cana-3281	275	5	gan	gin	VERB
cana-3281	275	6	weights	weight	NOUN
cana-3281	275	7	using	use	VERB
cana-3281	275	8	user	user	NOUN
cana-3281	275	9	sketches	sketch	NOUN
cana-3281	275	10	for	for	ADP
cana-3281	275	11	realistic	realistic	ADJ
cana-3281	275	12	image	image	NOUN
cana-3281	275	13	generation	generation	NOUN
cana-3281	275	14	.	.	PUNCT
cana-3281	276	1	ieee	ieee	NOUN
cana-3281	276	2	transactions	transaction	NOUN
cana-3281	276	3	on	on	ADP
cana-3281	276	4	image	image	NOUN
cana-3281	276	5	processing	processing	NOUN
cana-3281	276	6	,	,	PUNCT
cana-3281	276	7	30	30	NUM
cana-3281	276	8	,	,	PUNCT
cana-3281	276	9	5186	5186	NUM
cana-3281	276	10	-	-	SYM
cana-3281	276	11	5199	5199	NUM
cana-3281	276	12	.	.	PUNCT
cana-3281	277	1	[	[	X
cana-3281	277	2	5	5	NUM
cana-3281	277	3	]	]	X
cana-3281	277	4	liu	liu	PROPN
cana-3281	277	5	,	,	PUNCT
cana-3281	277	6	m.	m.	NOUN
cana-3281	277	7	,	,	PUNCT
cana-3281	277	8	and	and	CCONJ
cana-3281	277	9	tuzel	tuzel	ADJ
cana-3281	277	10	,	,	PUNCT
cana-3281	277	11	o.	o.	PROPN
cana-3281	277	12	(	(	PUNCT
cana-3281	277	13	2016	2016	NUM
cana-3281	277	14	)	)	PUNCT
cana-3281	277	15	.	.	PUNCT
cana-3281	278	1	coupled	couple	VERB
cana-3281	278	2	generative	generative	ADJ
cana-3281	278	3	adversarial	adversarial	ADJ
cana-3281	278	4	networks	network	NOUN
cana-3281	278	5	.	.	PUNCT
cana-3281	279	1	in	in	ADP
cana-3281	279	2	proceedings	proceeding	NOUN
cana-3281	279	3	of	of	ADP
cana-3281	279	4	the	the	DET
cana-3281	279	5	ieee	ieee	NOUN
cana-3281	279	6	conference	conference	NOUN
cana-3281	279	7	on	on	ADP
cana-3281	279	8	computer	computer	NOUN
cana-3281	279	9	vision	vision	NOUN
cana-3281	279	10	and	and	CCONJ
cana-3281	279	11	pattern	pattern	NOUN
cana-3281	279	12	recognition	recognition	NOUN
cana-3281	279	13	,	,	PUNCT
cana-3281	279	14	2725	2725	NUM
cana-3281	279	15	-	-	SYM
cana-3281	279	16	2733	2733	NUM
cana-3281	279	17	.	.	PUNCT
cana-3281	280	1	[	[	X
cana-3281	280	2	6	6	NUM
cana-3281	280	3	]	]	X
cana-3281	280	4	zhang	zhang	PROPN
cana-3281	280	5	,	,	PUNCT
cana-3281	280	6	h.	h.	PROPN
cana-3281	280	7	,	,	PUNCT
cana-3281	280	8	and	and	CCONJ
cana-3281	280	9	zhang	zhang	PROPN
cana-3281	280	10	,	,	PUNCT
cana-3281	280	11	j.	j.	PROPN
cana-3281	280	12	(	(	PUNCT
cana-3281	280	13	2022	2022	NUM
cana-3281	280	14	)	)	PUNCT
cana-3281	280	15	.	.	PUNCT
cana-3281	281	1	id	id	NOUN
cana-3281	281	2	-	-	PUNCT
cana-3281	281	3	cgan	cgan	ADJ
cana-3281	281	4	:	:	PUNCT
cana-3281	281	5	improved	improve	VERB
cana-3281	281	6	conditional	conditional	ADJ
cana-3281	281	7	generative	generative	ADJ
cana-3281	281	8	adversarial	adversarial	ADJ
cana-3281	281	9	networks	network	NOUN
cana-3281	281	10	for	for	ADP
cana-3281	281	11	rain	rain	NOUN
cana-3281	281	12	removal	removal	NOUN
cana-3281	281	13	and	and	CCONJ
cana-3281	281	14	object	object	VERB
cana-3281	281	15	detection	detection	NOUN
cana-3281	281	16	in	in	ADP
cana-3281	281	17	rainy	rainy	ADJ
cana-3281	281	18	images	image	NOUN
cana-3281	281	19	.	.	PUNCT
cana-3281	282	1	ieee	ieee	NOUN
cana-3281	282	2	transactions	transaction	NOUN
cana-3281	282	3	on	on	ADP
cana-3281	282	4	image	image	NOUN
cana-3281	282	5	processing	processing	NOUN
cana-3281	282	6	,	,	PUNCT
cana-3281	282	7	31	31	NUM
cana-3281	282	8	,	,	PUNCT
cana-3281	282	9	2269	2269	NUM
cana-3281	282	10	-	-	SYM
cana-3281	282	11	2282	2282	NUM
cana-3281	282	12	.	.	PUNCT
cana-3281	283	1	[	[	X
cana-3281	283	2	7	7	NUM
cana-3281	283	3	]	]	X
cana-3281	283	4	iglesias	iglesias	PROPN
cana-3281	283	5	,	,	PUNCT
cana-3281	283	6	g.	g.	PROPN
cana-3281	283	7	,	,	PUNCT
cana-3281	283	8	talavera	talavera	PROPN
cana-3281	283	9	,	,	PUNCT
cana-3281	283	10	e.	e.	PROPN
cana-3281	283	11	,	,	PUNCT
cana-3281	283	12	and	and	CCONJ
cana-3281	283	13	ferna´ndez	ferna´ndez	NOUN
cana-3281	283	14	-	-	PUNCT
cana-3281	283	15	caballero	caballero	PROPN
cana-3281	283	16	,	,	PUNCT
cana-3281	283	17	a.	a.	NOUN
cana-3281	283	18	(	(	PUNCT
cana-3281	283	19	2022	2022	NUM
cana-3281	283	20	)	)	PUNCT
cana-3281	283	21	.	.	PUNCT
cana-3281	284	1	recent	recent	ADJ
cana-3281	284	2	advancements	advancement	NOUN
cana-3281	284	3	in	in	ADP
cana-3281	284	4	generative	generative	ADJ
cana-3281	284	5	adversarial	adversarial	ADJ
cana-3281	284	6	networks	network	NOUN
cana-3281	284	7	for	for	ADP
cana-3281	284	8	computer	computer	NOUN
cana-3281	284	9	vision	vision	NOUN
cana-3281	284	10	:	:	PUNCT
cana-3281	284	11	a	a	DET
cana-3281	284	12	survey	survey	NOUN
cana-3281	284	13	.	.	PUNCT
cana-3281	285	1	ieee	ieee	NOUN
cana-3281	285	2	transactions	transaction	NOUN
cana-3281	285	3	on	on	ADP
cana-3281	285	4	systems	system	NOUN
cana-3281	285	5	,	,	PUNCT
cana-3281	285	6	man	man	NOUN
cana-3281	285	7	,	,	PUNCT
cana-3281	285	8	and	and	CCONJ
cana-3281	285	9	cybernetics	cybernetic	NOUN
cana-3281	285	10	:	:	PUNCT
cana-3281	285	11	systems	system	NOUN
cana-3281	285	12	,	,	PUNCT
cana-3281	285	13	52(1	52(1	NOUN
cana-3281	285	14	)	)	PUNCT
cana-3281	285	15	,	,	PUNCT
cana-3281	285	16	115	115	NUM
cana-3281	285	17	.	.	PUNCT
cana-3281	286	1	[	[	X
cana-3281	286	2	8	8	NUM
cana-3281	286	3	]	]	X
cana-3281	286	4	goodfellow	goodfellow	PROPN
cana-3281	286	5	,	,	PUNCT
cana-3281	286	6	i.	i.	NOUN
cana-3281	286	7	,	,	PUNCT
cana-3281	286	8	pouget	pouget	NOUN
cana-3281	286	9	-	-	PUNCT
cana-3281	286	10	abadie	abadie	ADJ
cana-3281	286	11	,	,	PUNCT
cana-3281	286	12	j.	j.	PROPN
cana-3281	286	13	,	,	PUNCT
cana-3281	286	14	mirza	mirza	PROPN
cana-3281	286	15	,	,	PUNCT
cana-3281	286	16	m.	m.	NOUN
cana-3281	286	17	,	,	PUNCT
cana-3281	286	18	xu	xu	PROPN
cana-3281	286	19	,	,	PUNCT
cana-3281	286	20	b.	b.	PROPN
cana-3281	286	21	,	,	PUNCT
cana-3281	286	22	warde	warde	PROPN
cana-3281	286	23	-	-	PUNCT
cana-3281	286	24	farley	farley	PROPN
cana-3281	286	25	,	,	PUNCT
cana-3281	286	26	d.	d.	PROPN
cana-3281	286	27	,	,	PUNCT
cana-3281	286	28	ozair	ozair	PROPN
cana-3281	286	29	,	,	PUNCT
cana-3281	286	30	s.	s.	PROPN
cana-3281	286	31	,	,	PUNCT
cana-3281	286	32	...	...	PUNCT
cana-3281	286	33	and	and	CCONJ
cana-3281	286	34	bengio	bengio	NOUN
cana-3281	286	35	,	,	PUNCT
cana-3281	286	36	y.	y.	PROPN
cana-3281	286	37	(	(	PUNCT
cana-3281	286	38	2014	2014	NUM
cana-3281	286	39	)	)	PUNCT
cana-3281	286	40	.	.	PUNCT
cana-3281	287	1	generative	generative	ADJ
cana-3281	287	2	adversarial	adversarial	ADJ
cana-3281	287	3	nets	net	NOUN
cana-3281	287	4	.	.	PUNCT
cana-3281	288	1	in	in	ADP
cana-3281	288	2	advances	advance	NOUN
cana-3281	288	3	in	in	ADP
cana-3281	288	4	neural	neural	ADJ
cana-3281	288	5	information	information	NOUN
cana-3281	288	6	processing	processing	NOUN
cana-3281	288	7	systems	system	NOUN
cana-3281	288	8	,	,	PUNCT
cana-3281	288	9	2672	2672	NUM
cana-3281	288	10	-	-	SYM
cana-3281	288	11	2680	2680	NUM
cana-3281	288	12	.	.	PUNCT
cana-3281	289	1	[	[	X
cana-3281	289	2	9	9	NUM
cana-3281	289	3	]	]	X
cana-3281	289	4	ha	ha	INTJ
cana-3281	289	5	,	,	PUNCT
cana-3281	289	6	j.	j.	PROPN
cana-3281	289	7	,	,	PUNCT
cana-3281	289	8	liu	liu	PROPN
cana-3281	289	9	,	,	PUNCT
cana-3281	289	10	m.	m.	NOUN
cana-3281	289	11	,	,	PUNCT
cana-3281	289	12	and	and	CCONJ
cana-3281	289	13	tuzel	tuzel	ADJ
cana-3281	289	14	,	,	PUNCT
cana-3281	289	15	o.	o.	NOUN
cana-3281	289	16	(	(	PUNCT
cana-3281	289	17	2021	2021	NUM
cana-3281	289	18	)	)	PUNCT
cana-3281	289	19	.	.	PUNCT
cana-3281	290	1	multi	multi	ADJ
cana-3281	290	2	-	-	ADJ
cana-3281	290	3	domain	domain	ADJ
cana-3281	290	4	generative	generative	ADJ
cana-3281	290	5	adversarial	adversarial	ADJ
cana-3281	290	6	networks	network	NOUN
cana-3281	290	7	for	for	ADP
cana-3281	290	8	image	image	NOUN
cana-3281	290	9	translation	translation	NOUN
cana-3281	290	10	.	.	PUNCT
cana-3281	291	1	ieee	ieee	NOUN
cana-3281	291	2	transactions	transaction	NOUN
cana-3281	291	3	on	on	ADP
cana-3281	291	4	neural	neural	ADJ
cana-3281	291	5	networks	network	NOUN
cana-3281	291	6	and	and	CCONJ
cana-3281	291	7	learning	learning	NOUN
cana-3281	291	8	systems	system	NOUN
cana-3281	291	9	,	,	PUNCT
cana-3281	291	10	32(12	32(12	NUM
cana-3281	291	11	)	)	PUNCT
cana-3281	291	12	,	,	PUNCT
cana-3281	291	13	5155	5155	NUM
cana-3281	291	14	-	-	SYM
cana-3281	291	15	5169	5169	NUM
cana-3281	291	16	.	.	PUNCT
cana-3281	292	1	[	[	X
cana-3281	292	2	10	10	NUM
cana-3281	292	3	]	]	X
cana-3281	292	4	lai	lai	PROPN
cana-3281	292	5	,	,	PUNCT
cana-3281	292	6	y.	y.	PROPN
cana-3281	292	7	,	,	PUNCT
cana-3281	292	8	wang	wang	PROPN
cana-3281	292	9	,	,	PUNCT
cana-3281	292	10	y.	y.	PROPN
cana-3281	292	11	,	,	PUNCT
cana-3281	292	12	and	and	CCONJ
cana-3281	292	13	qi	qi	PROPN
cana-3281	292	14	,	,	PUNCT
cana-3281	292	15	c.	c.	PROPN
cana-3281	292	16	r.	r.	PROPN
cana-3281	292	17	(	(	PUNCT
cana-3281	292	18	2018	2018	NUM
cana-3281	292	19	)	)	PUNCT
cana-3281	292	20	.	.	PUNCT
cana-3281	293	1	cartoongan	cartoongan	PROPN
cana-3281	293	2	:	:	PUNCT
cana-3281	293	3	transforming	transform	VERB
cana-3281	293	4	real	real	ADJ
cana-3281	293	5	-	-	PUNCT
cana-3281	293	6	world	world	NOUN
cana-3281	293	7	scene	scene	NOUN
cana-3281	293	8	photos	photo	NOUN
cana-3281	293	9	into	into	ADP
cana-3281	293	10	captivating	captivating	ADJ
cana-3281	293	11	cartoon	cartoon	NOUN
cana-3281	293	12	-	-	PUNCT
cana-3281	293	13	style	style	NOUN
cana-3281	293	14	images	image	NOUN
cana-3281	293	15	.	.	PUNCT
cana-3281	294	1	in	in	ADP
cana-3281	294	2	proceedings	proceeding	NOUN
cana-3281	294	3	of	of	ADP
cana-3281	294	4	the	the	DET
cana-3281	294	5	ieee	ieee	NOUN
cana-3281	294	6	conference	conference	NOUN
cana-3281	294	7	on	on	ADP
cana-3281	294	8	computer	computer	NOUN
cana-3281	294	9	vision	vision	NOUN
cana-3281	294	10	and	and	CCONJ
cana-3281	294	11	pattern	pattern	NOUN
cana-3281	294	12	recognition	recognition	NOUN
cana-3281	294	13	,	,	PUNCT
cana-3281	294	14	62966304	62966304	NUM
cana-3281	294	15	.	.	PUNCT
cana-3281	295	1	[	[	X
cana-3281	295	2	11	11	NUM
cana-3281	295	3	]	]	SYM
cana-3281	295	4	isola	isola	PROPN
cana-3281	295	5	,	,	PUNCT
cana-3281	295	6	p.	p.	PROPN
cana-3281	295	7	,	,	PUNCT
cana-3281	295	8	zhu	zhu	PROPN
cana-3281	295	9	,	,	PUNCT
cana-3281	295	10	j.	j.	PROPN
cana-3281	295	11	y.	y.	PROPN
cana-3281	295	12	,	,	PUNCT
cana-3281	295	13	zhou	zhou	PROPN
cana-3281	295	14	,	,	PUNCT
cana-3281	295	15	t.	t.	PROPN
cana-3281	295	16	,	,	PUNCT
cana-3281	295	17	and	and	CCONJ
cana-3281	295	18	efros	efros	PROPN
cana-3281	295	19	,	,	PUNCT
cana-3281	295	20	a.	a.	NOUN
cana-3281	295	21	a.	a.	PROPN
cana-3281	295	22	(	(	PUNCT
cana-3281	295	23	2016	2016	NUM
cana-3281	295	24	)	)	PUNCT
cana-3281	295	25	.	.	PUNCT
cana-3281	296	1	image	image	NOUN
cana-3281	296	2	-	-	PUNCT
cana-3281	296	3	to	to	ADP
cana-3281	296	4	-	-	PUNCT
cana-3281	296	5	image	image	NOUN
cana-3281	296	6	translation	translation	NOUN
cana-3281	296	7	with	with	ADP
cana-3281	296	8	conditional	conditional	ADJ
cana-3281	296	9	adversarial	adversarial	ADJ
cana-3281	296	10	networks	network	NOUN
cana-3281	296	11	.	.	PUNCT
cana-3281	297	1	in	in	ADP
cana-3281	297	2	proceedings	proceeding	NOUN
cana-3281	297	3	of	of	ADP
cana-3281	297	4	the	the	DET
cana-3281	297	5	ieee	ieee	NOUN
cana-3281	297	6	conference	conference	NOUN
cana-3281	297	7	on	on	ADP
cana-3281	297	8	computer	computer	NOUN
cana-3281	297	9	vision	vision	NOUN
cana-3281	297	10	and	and	CCONJ
cana-3281	297	11	pattern	pattern	NOUN
cana-3281	297	12	recognition	recognition	NOUN
cana-3281	297	13	,	,	PUNCT
cana-3281	297	14	59675976	59675976	NUM
cana-3281	297	15	.	.	PUNCT
cana-3281	298	1	[	[	X
cana-3281	298	2	12	12	NUM
cana-3281	298	3	]	]	X
cana-3281	298	4	liu	liu	PROPN
cana-3281	298	5	,	,	PUNCT
cana-3281	298	6	m.	m.	NOUN
cana-3281	298	7	,	,	PUNCT
cana-3281	298	8	wang	wang	PROPN
cana-3281	298	9	,	,	PUNCT
cana-3281	298	10	y.	y.	PROPN
cana-3281	298	11	,	,	PUNCT
cana-3281	298	12	and	and	CCONJ
cana-3281	298	13	tuzel	tuzel	ADJ
cana-3281	298	14	,	,	PUNCT
cana-3281	298	15	o.	o.	NOUN
cana-3281	298	16	(	(	PUNCT
cana-3281	298	17	2017	2017	NUM
cana-3281	298	18	)	)	PUNCT
cana-3281	298	19	.	.	PUNCT
cana-3281	299	1	sketch	sketch	VERB
cana-3281	299	2	-	-	PUNCT
cana-3281	299	3	to	to	ADP
cana-3281	299	4	-	-	PUNCT
cana-3281	299	5	image	image	NOUN
cana-3281	299	6	:	:	PUNCT
cana-3281	299	7	realistic	realistic	ADJ
cana-3281	299	8	facial	facial	ADJ
cana-3281	299	9	image	image	NOUN
cana-3281	299	10	generation	generation	NOUN
cana-3281	299	11	from	from	ADP
cana-3281	299	12	sketches	sketch	NOUN
cana-3281	299	13	.	.	PUNCT
cana-3281	300	1	in	in	ADP
cana-3281	300	2	proceedings	proceeding	NOUN
cana-3281	300	3	of	of	ADP
cana-3281	300	4	the	the	DET
cana-3281	300	5	ieee	ieee	NOUN
cana-3281	300	6	conference	conference	NOUN
cana-3281	300	7	on	on	ADP
cana-3281	300	8	computer	computer	NOUN
cana-3281	300	9	vision	vision	NOUN
cana-3281	300	10	and	and	CCONJ
cana-3281	300	11	pattern	pattern	NOUN
cana-3281	300	12	recognition	recognition	NOUN
cana-3281	300	13	,	,	PUNCT
cana-3281	300	14	2661	2661	NUM
cana-3281	300	15	-	-	SYM
cana-3281	300	16	2669	2669	NUM
cana-3281	300	17	.	.	PUNCT
cana-3281	301	1	[	[	X
cana-3281	301	2	13	13	NUM
cana-3281	301	3	]	]	SYM
cana-3281	301	4	dhore	dhore	NOUN
cana-3281	301	5	,	,	PUNCT
cana-3281	301	6	m.l	m.l	PROPN
cana-3281	301	7	.	.	PROPN
cana-3281	301	8	,	,	PUNCT
cana-3281	301	9	ratnaparkhi	ratnaparkhi	PROPN
cana-3281	301	10	,	,	PUNCT
cana-3281	301	11	s.	s.	PROPN
cana-3281	301	12	,	,	PUNCT
cana-3281	301	13	sasne	sasne	PROPN
cana-3281	301	14	,	,	PUNCT
cana-3281	301	15	r.	r.	PROPN
cana-3281	301	16	,	,	PUNCT
cana-3281	301	17	surase	surase	NOUN
cana-3281	301	18	,	,	PUNCT
cana-3281	301	19	o.	o.	NOUN
cana-3281	301	20	and	and	CCONJ
cana-3281	301	21	chandak	chandak	PROPN
cana-3281	301	22	,	,	PUNCT
cana-3281	301	23	r.	r.	PROPN
cana-3281	301	24	,	,	PUNCT
cana-3281	301	25	2023	2023	NUM
cana-3281	301	26	,	,	PUNCT
cana-3281	301	27	august	august	PROPN
cana-3281	301	28	.	.	PUNCT
cana-3281	302	1	next	next	ADJ
cana-3281	302	2	generation	generation	NOUN
cana-3281	302	3	social	social	ADJ
cana-3281	302	4	media	medium	NOUN
cana-3281	302	5	platform	platform	NOUN
cana-3281	302	6	to	to	PART
cana-3281	302	7	move	move	VERB
cana-3281	302	8	from	from	ADP
cana-3281	302	9	centralization	centralization	NOUN
cana-3281	302	10	to	to	ADP
cana-3281	302	11	decentralization	decentralization	NOUN
cana-3281	302	12	of	of	ADP
cana-3281	302	13	data	datum	NOUN
cana-3281	302	14	.	.	PUNCT
cana-3281	303	1	in	in	ADP
cana-3281	303	2	2023	2023	NUM
cana-3281	303	3	7th	7th	ADJ
cana-3281	303	4	international	international	ADJ
cana-3281	303	5	conference	conference	NOUN
cana-3281	303	6	on	on	ADP
cana-3281	303	7	computing	computing	NOUN
cana-3281	303	8	,	,	PUNCT
cana-3281	303	9	communication	communication	NOUN
cana-3281	303	10	,	,	PUNCT
cana-3281	303	11	control	control	NOUN
cana-3281	303	12	and	and	CCONJ
cana-3281	303	13	automation	automation	NOUN
cana-3281	303	14	(	(	PUNCT
cana-3281	303	15	iccubea	iccubea	NOUN
cana-3281	303	16	)	)	PUNCT
cana-3281	303	17	(	(	PUNCT
cana-3281	303	18	pp	pp	X
cana-3281	303	19	.	.	PUNCT
cana-3281	304	1	1	1	NUM
cana-3281	304	2	-	-	SYM
cana-3281	304	3	6	6	NUM
cana-3281	304	4	)	)	PUNCT
cana-3281	304	5	.	.	PUNCT
cana-3281	305	1	ieee	ieee	NOUN
cana-3281	305	2	.	.	PUNCT
cana-3281	306	1	[	[	X
cana-3281	306	2	14	14	NUM
cana-3281	306	3	]	]	X
cana-3281	306	4	xing	xing	PROPN
cana-3281	306	5	,	,	PUNCT
cana-3281	306	6	y.	y.	PROPN
cana-3281	306	7	,	,	PUNCT
cana-3281	306	8	wang	wang	PROPN
cana-3281	306	9	,	,	PUNCT
cana-3281	306	10	y.	y.	PROPN
cana-3281	306	11	,	,	PUNCT
cana-3281	306	12	and	and	CCONJ
cana-3281	306	13	qi	qi	PROPN
cana-3281	306	14	,	,	PUNCT
cana-3281	306	15	c.	c.	PROPN
cana-3281	306	16	r.	r.	PROPN
cana-3281	306	17	(	(	PUNCT
cana-3281	306	18	2019	2019	NUM
cana-3281	306	19	)	)	PUNCT
cana-3281	306	20	.	.	PUNCT
cana-3281	307	1	scgan	scgan	VERB
cana-3281	307	2	:	:	PUNCT
cana-3281	307	3	sketch	sketch	NOUN
cana-3281	307	4	-	-	PUNCT
cana-3281	307	5	based	base	VERB
cana-3281	307	6	cartoon	cartoon	NOUN
cana-3281	307	7	image	image	NOUN
cana-3281	307	8	generation	generation	NOUN
cana-3281	307	9	using	use	VERB
cana-3281	307	10	conditional	conditional	ADJ
cana-3281	307	11	gans	gan	NOUN
cana-3281	307	12	.	.	PUNCT
cana-3281	308	1	in	in	ADP
cana-3281	308	2	proceedings	proceeding	NOUN
cana-3281	308	3	of	of	ADP
cana-3281	308	4	the	the	DET
cana-3281	308	5	ieee	ieee	NOUN
cana-3281	308	6	conference	conference	NOUN
cana-3281	308	7	on	on	ADP
cana-3281	308	8	computer	computer	NOUN
cana-3281	308	9	vision	vision	NOUN
cana-3281	308	10	and	and	CCONJ
cana-3281	308	11	pattern	pattern	NOUN
cana-3281	308	12	recognition	recognition	NOUN
cana-3281	308	13	,	,	PUNCT
cana-3281	308	14	1128	1128	NUM
cana-3281	308	15	-	-	SYM
cana-3281	308	16	1137	1137	NUM
cana-3281	308	17	.	.	PUNCT
cana-3281	309	1	[	[	X
cana-3281	309	2	15	15	NUM
cana-3281	309	3	]	]	X
cana-3281	309	4	liu	liu	PROPN
cana-3281	309	5	,	,	PUNCT
cana-3281	309	6	m.	m.	NOUN
cana-3281	309	7	,	,	PUNCT
cana-3281	309	8	and	and	CCONJ
cana-3281	309	9	tuzel	tuzel	ADJ
cana-3281	309	10	,	,	PUNCT
cana-3281	309	11	o.	o.	NOUN
cana-3281	309	12	(	(	PUNCT
cana-3281	309	13	2019	2019	NUM
cana-3281	309	14	)	)	PUNCT
cana-3281	309	15	.	.	PUNCT
cana-3281	310	1	feature	feature	NOUN
cana-3281	310	2	matching	match	VERB
cana-3281	310	3	loss	loss	NOUN
cana-3281	310	4	for	for	ADP
cana-3281	310	5	sketch	sketch	NOUN
cana-3281	310	6	-	-	PUNCT
cana-3281	310	7	to	to	ADP
cana-3281	310	8	-	-	PUNCT
cana-3281	310	9	image	image	NOUN
cana-3281	310	10	generation	generation	NOUN
cana-3281	310	11	.	.	PUNCT
cana-3281	311	1	in	in	ADP
cana-3281	311	2	proceedings	proceeding	NOUN
cana-3281	311	3	of	of	ADP
cana-3281	311	4	the	the	DET
cana-3281	311	5	ieee	ieee	NOUN
cana-3281	311	6	conference	conference	NOUN
cana-3281	311	7	on	on	ADP
cana-3281	311	8	computer	computer	NOUN
cana-3281	311	9	vision	vision	NOUN
cana-3281	311	10	and	and	CCONJ
cana-3281	311	11	pattern	pattern	NOUN
cana-3281	311	12	recognition	recognition	NOUN
cana-3281	311	13	,	,	PUNCT
cana-3281	311	14	6767	6767	NUM
cana-3281	311	15	-	-	SYM
cana-3281	311	16	6775	6775	NUM
cana-3281	311	17	.	.	PUNCT
cana-3281	312	1	communications	communication	NOUN
cana-3281	312	2	on	on	ADP
cana-3281	312	3	applied	apply	VERB
cana-3281	312	4	nonlinear	nonlinear	ADJ
cana-3281	312	5	analysis	analysis	NOUN
cana-3281	312	6	issn	issn	NOUN
cana-3281	312	7	:	:	PUNCT
cana-3281	312	8	1074	1074	NUM
cana-3281	312	9	-	-	PUNCT
cana-3281	312	10	133x	133x	NUM
cana-3281	312	11	vol	vol	NOUN
cana-3281	312	12	32	32	NUM
cana-3281	312	13	no	no	NOUN
cana-3281	312	14	.	.	PUNCT
cana-3281	313	1	6s	6s	NUM
cana-3281	313	2	(	(	PUNCT
cana-3281	313	3	2025	2025	NUM
cana-3281	313	4	)	)	PUNCT
cana-3281	313	5	150	150	NUM
cana-3281	313	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3281	314	1	[	[	X
cana-3281	314	2	16	16	NUM
cana-3281	314	3	]	]	X
cana-3281	314	4	yu	yu	PROPN
cana-3281	314	5	,	,	PUNCT
cana-3281	314	6	t.	t.	PROPN
cana-3281	314	7	,	,	PUNCT
cana-3281	314	8	wang	wang	PROPN
cana-3281	314	9	,	,	PUNCT
cana-3281	314	10	y.	y.	PROPN
cana-3281	314	11	,	,	PUNCT
cana-3281	314	12	and	and	CCONJ
cana-3281	314	13	qi	qi	PROPN
cana-3281	314	14	,	,	PUNCT
cana-3281	314	15	c.	c.	PROPN
cana-3281	314	16	r.	r.	PROPN
cana-3281	314	17	(	(	PUNCT
cana-3281	314	18	2020	2020	NUM
cana-3281	314	19	)	)	PUNCT
cana-3281	314	20	.	.	PUNCT
cana-3281	315	1	attention	attention	NOUN
cana-3281	315	2	mechanism	mechanism	NOUN
cana-3281	315	3	for	for	ADP
cana-3281	315	4	sketchto	sketchto	NOUN
cana-3281	315	5	-	-	PUNCT
cana-3281	315	6	image	image	NOUN
cana-3281	315	7	generation	generation	NOUN
cana-3281	315	8	.	.	PUNCT
cana-3281	316	1	in	in	ADP
cana-3281	316	2	proceedings	proceeding	NOUN
cana-3281	316	3	of	of	ADP
cana-3281	316	4	the	the	DET
cana-3281	316	5	ieee	ieee	NOUN
cana-3281	316	6	conference	conference	NOUN
cana-3281	316	7	on	on	ADP
cana-3281	316	8	computer	computer	NOUN
cana-3281	316	9	vision	vision	NOUN
cana-3281	316	10	and	and	CCONJ
cana-3281	316	11	pattern	pattern	NOUN
cana-3281	316	12	recognition	recognition	NOUN
cana-3281	316	13	,	,	PUNCT
cana-3281	316	14	10051	10051	NUM
cana-3281	316	15	-	-	SYM
cana-3281	316	16	10060	10060	NUM
cana-3281	316	17	.	.	PUNCT
cana-3281	317	1	[	[	X
cana-3281	317	2	17	17	NUM
cana-3281	317	3	]	]	X
cana-3281	317	4	janokar	janokar	NOUN
cana-3281	317	5	,	,	PUNCT
cana-3281	317	6	s.	s.	PROPN
cana-3281	317	7	,	,	PUNCT
cana-3281	317	8	ratnaparkhi	ratnaparkhi	PROPN
cana-3281	317	9	,	,	PUNCT
cana-3281	317	10	s.	s.	PROPN
cana-3281	317	11	,	,	PUNCT
cana-3281	317	12	rathi	rathi	PROPN
cana-3281	317	13	,	,	PUNCT
cana-3281	317	14	m.	m.	NOUN
cana-3281	317	15	and	and	CCONJ
cana-3281	317	16	rathod	rathod	PROPN
cana-3281	317	17	,	,	PUNCT
cana-3281	317	18	a.	a.	NOUN
cana-3281	317	19	,	,	PUNCT
cana-3281	317	20	2023	2023	NUM
cana-3281	317	21	.	.	PUNCT
cana-3281	318	1	textto	textto	ADJ
cana-3281	318	2	-	-	PUNCT
cana-3281	318	3	speech	speech	NOUN
cana-3281	318	4	and	and	CCONJ
cana-3281	318	5	speech	speech	NOUN
cana-3281	318	6	-	-	PUNCT
cana-3281	318	7	to	to	ADP
cana-3281	318	8	-	-	PUNCT
cana-3281	318	9	text	text	NOUN
cana-3281	318	10	converter	converter	NOUN
cana-3281	318	11	—	—	PUNCT
cana-3281	318	12	voice	voice	NOUN
cana-3281	318	13	assistant	assistant	NOUN
cana-3281	318	14	.	.	PUNCT
cana-3281	319	1	in	in	ADP
cana-3281	319	2	inventive	inventive	ADJ
cana-3281	319	3	systems	system	NOUN
cana-3281	319	4	and	and	CCONJ
cana-3281	319	5	control	control	NOUN
cana-3281	319	6	:	:	PUNCT
cana-3281	319	7	proceedings	proceeding	NOUN
cana-3281	319	8	of	of	ADP
cana-3281	319	9	icisc	icisc	NOUN
cana-3281	319	10	2023	2023	NUM
cana-3281	319	11	(	(	PUNCT
cana-3281	319	12	pp	pp	ADJ
cana-3281	319	13	.	.	PUNCT
cana-3281	320	1	653	653	NUM
cana-3281	320	2	-	-	PUNCT
cana-3281	320	3	664	664	NUM
cana-3281	320	4	)	)	PUNCT
cana-3281	320	5	.	.	PUNCT
cana-3281	321	1	singapore	singapore	PROPN
cana-3281	321	2	:	:	PUNCT
cana-3281	321	3	springer	springer	NOUN
cana-3281	321	4	nature	nature	PROPN
cana-3281	321	5	singapore	singapore	PROPN
cana-3281	321	6	.	.	PUNCT
cana-3281	322	1	[	[	X
cana-3281	322	2	18	18	NUM
cana-3281	322	3	]	]	X
cana-3281	322	4	huang	huang	PROPN
cana-3281	322	5	,	,	PUNCT
cana-3281	322	6	s.	s.	PROPN
cana-3281	322	7	,	,	PUNCT
cana-3281	322	8	zhao	zhao	PROPN
cana-3281	322	9	,	,	PUNCT
cana-3281	322	10	j.	j.	PROPN
cana-3281	322	11	,	,	PUNCT
cana-3281	322	12	and	and	CCONJ
cana-3281	322	13	wang	wang	PROPN
cana-3281	322	14	,	,	PUNCT
cana-3281	322	15	x.	x.	NOUN
cana-3281	322	16	(	(	PUNCT
cana-3281	322	17	2021	2021	NUM
cana-3281	322	18	)	)	PUNCT
cana-3281	322	19	.	.	PUNCT
cana-3281	323	1	hierarchical	hierarchical	ADJ
cana-3281	323	2	progressive	progressive	ADJ
cana-3281	323	3	growing	growing	NOUN
cana-3281	323	4	of	of	ADP
cana-3281	323	5	gans	gan	NOUN
cana-3281	323	6	for	for	ADP
cana-3281	323	7	sketch	sketch	NOUN
cana-3281	323	8	-	-	PUNCT
cana-3281	323	9	to	to	ADP
cana-3281	323	10	-	-	PUNCT
cana-3281	323	11	image	image	NOUN
cana-3281	323	12	generation	generation	NOUN
cana-3281	323	13	.	.	PUNCT
cana-3281	324	1	in	in	ADP
cana-3281	324	2	proceedings	proceeding	NOUN
cana-3281	324	3	of	of	ADP
cana-3281	324	4	the	the	DET
cana-3281	324	5	ieee	ieee	NOUN
cana-3281	324	6	conference	conference	NOUN
cana-3281	324	7	on	on	ADP
cana-3281	324	8	computer	computer	NOUN
cana-3281	324	9	vision	vision	NOUN
cana-3281	324	10	and	and	CCONJ
cana-3281	324	11	pattern	pattern	NOUN
cana-3281	324	12	recognition	recognition	NOUN
cana-3281	324	13	,	,	PUNCT
cana-3281	324	14	12021211	12021211	NUM
cana-3281	324	15	.	.	PUNCT
cana-3281	325	1	[	[	X
cana-3281	325	2	19	19	NUM
cana-3281	325	3	]	]	X
cana-3281	325	4	liu	liu	PROPN
cana-3281	325	5	,	,	PUNCT
cana-3281	325	6	m.	m.	NOUN
cana-3281	325	7	,	,	PUNCT
cana-3281	325	8	and	and	CCONJ
cana-3281	325	9	tuzel	tuzel	ADJ
cana-3281	325	10	,	,	PUNCT
cana-3281	325	11	o.	o.	NOUN
cana-3281	325	12	(	(	PUNCT
cana-3281	325	13	2021	2021	NUM
cana-3281	325	14	)	)	PUNCT
cana-3281	325	15	.	.	PUNCT
cana-3281	326	1	sketch	sketch	NOUN
cana-3281	326	2	-	-	PUNCT
cana-3281	326	3	to	to	ADP
cana-3281	326	4	-	-	PUNCT
cana-3281	326	5	image	image	NOUN
cana-3281	326	6	generation	generation	NOUN
cana-3281	326	7	by	by	ADP
cana-3281	326	8	learning	learn	VERB
cana-3281	326	9	image	image	NOUN
cana-3281	326	10	priors	prior	NOUN
cana-3281	326	11	and	and	CCONJ
cana-3281	326	12	sketch	sketch	ADJ
cana-3281	326	13	encodings	encoding	NOUN
cana-3281	326	14	.	.	PUNCT
cana-3281	327	1	in	in	ADP
cana-3281	327	2	proceedings	proceeding	NOUN
cana-3281	327	3	of	of	ADP
cana-3281	327	4	the	the	DET
cana-3281	327	5	ieee	ieee	NOUN
cana-3281	327	6	conference	conference	NOUN
cana-3281	327	7	on	on	ADP
cana-3281	327	8	computer	computer	NOUN
cana-3281	327	9	vision	vision	NOUN
cana-3281	327	10	and	and	CCONJ
cana-3281	327	11	pattern	pattern	NOUN
cana-3281	327	12	recognition	recognition	NOUN
cana-3281	327	13	,	,	PUNCT
cana-3281	327	14	1212	1212	NUM
cana-3281	327	15	-	-	SYM
cana-3281	327	16	1221	1221	NUM
cana-3281	327	17	.	.	PUNCT
cana-3281	328	1	[	[	X
cana-3281	328	2	20	20	NUM
cana-3281	328	3	]	]	SYM
cana-3281	328	4	bharadwaj	bharadwaj	PROPN
cana-3281	328	5	,	,	PUNCT
cana-3281	328	6	r.	r.	PROPN
cana-3281	328	7	,	,	PUNCT
cana-3281	328	8	ratnaparkhi	ratnaparkhi	PROPN
cana-3281	328	9	,	,	PUNCT
cana-3281	328	10	s.	s.	PROPN
cana-3281	328	11	,	,	PUNCT
cana-3281	328	12	rajpurohit	rajpurohit	PROPN
cana-3281	328	13	,	,	PUNCT
cana-3281	328	14	r.	r.	PROPN
cana-3281	328	15	,	,	PUNCT
cana-3281	328	16	rahate	rahate	ADJ
cana-3281	328	17	,	,	PUNCT
cana-3281	328	18	k.	k.	PROPN
cana-3281	328	19	,	,	PUNCT
cana-3281	328	20	pandita	pandita	PROPN
cana-3281	328	21	,	,	PUNCT
cana-3281	328	22	r.	r.	PROPN
cana-3281	328	23	and	and	CCONJ
cana-3281	328	24	thosar	thosar	PROPN
cana-3281	328	25	,	,	PUNCT
cana-3281	328	26	s.	s.	PROPN
cana-3281	328	27	,	,	PUNCT
cana-3281	328	28	2023	2023	NUM
cana-3281	328	29	,	,	PUNCT
cana-3281	328	30	november	november	PROPN
cana-3281	328	31	.	.	PUNCT
cana-3281	329	1	deepfake	deepfake	NOUN
cana-3281	329	2	detection	detection	NOUN
cana-3281	329	3	for	for	ADP
cana-3281	329	4	preventing	prevent	VERB
cana-3281	329	5	audio	audio	ADJ
cana-3281	329	6	and	and	CCONJ
cana-3281	329	7	video	video	NOUN
cana-3281	329	8	frauds	fraud	NOUN
cana-3281	329	9	using	use	VERB
cana-3281	329	10	advanced	advanced	ADJ
cana-3281	329	11	deep	deep	ADJ
cana-3281	329	12	learning	learning	NOUN
cana-3281	329	13	techniques	technique	NOUN
cana-3281	329	14	.	.	PUNCT
cana-3281	330	1	in	in	ADP
cana-3281	330	2	2023	2023	NUM
cana-3281	330	3	international	international	ADJ
cana-3281	330	4	conference	conference	NOUN
cana-3281	330	5	on	on	ADP
cana-3281	330	6	integrated	integrate	VERB
cana-3281	330	7	intelligence	intelligence	NOUN
cana-3281	330	8	and	and	CCONJ
cana-3281	330	9	communication	communication	NOUN
cana-3281	330	10	systems	system	NOUN
cana-3281	330	11	(	(	PUNCT
cana-3281	330	12	iciics	iciic	NOUN
cana-3281	330	13	)	)	PUNCT
cana-3281	330	14	(	(	PUNCT
cana-3281	330	15	pp	pp	X
cana-3281	330	16	.	.	PUNCT
cana-3281	331	1	1	1	NUM
cana-3281	331	2	-	-	SYM
cana-3281	331	3	7	7	NUM
cana-3281	331	4	)	)	PUNCT
cana-3281	331	5	.	.	PUNCT
cana-3281	332	1	ieee	ieee	PROPN
cana-3281	332	2	.	.	PUNCT