id	sid	tid	token	lemma	pos
cana-6162	1	1	paper	paper	NOUN
cana-6162	1	2	title	title	NOUN
cana-6162	1	3	(	(	PUNCT
cana-6162	1	4	use	use	NOUN
cana-6162	1	5	style	style	NOUN
cana-6162	1	6	:	:	PUNCT
cana-6162	1	7	paper	paper	NOUN
cana-6162	1	8	title	title	NOUN
cana-6162	1	9	)	)	PUNCT
cana-6162	1	10	communications	communication	NOUN
cana-6162	1	11	on	on	ADP
cana-6162	1	12	applied	apply	VERB
cana-6162	1	13	nonlinear	nonlinear	ADJ
cana-6162	1	14	analysis	analysis	NOUN
cana-6162	1	15	issn	issn	NOUN
cana-6162	1	16	:	:	PUNCT
cana-6162	1	17	1074	1074	NUM
cana-6162	1	18	-	-	PUNCT
cana-6162	1	19	133x	133x	NUM
cana-6162	1	20	vol	vol	VERB
cana-6162	1	21	32	32	NUM
cana-6162	1	22	no	no	NOUN
cana-6162	1	23	.	.	PUNCT
cana-6162	2	1	10s	10	NOUN
cana-6162	2	2	(	(	PUNCT
cana-6162	2	3	2025	2025	NUM
cana-6162	2	4	)	)	PUNCT
cana-6162	2	5	3502	3502	NUM
cana-6162	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	2	7	a	a	DET
cana-6162	2	8	unified	unify	VERB
cana-6162	2	9	framework	framework	NOUN
cana-6162	2	10	for	for	ADP
cana-6162	2	11	high	high	ADJ
cana-6162	2	12	-	-	PUNCT
cana-6162	2	13	resolution	resolution	NOUN
cana-6162	2	14	text	text	NOUN
cana-6162	2	15	-	-	PUNCT
cana-6162	2	16	to	to	ADP
cana-6162	2	17	-	-	PUNCT
cana-6162	2	18	image	image	NOUN
cana-6162	2	19	generation	generation	NOUN
cana-6162	2	20	using	use	VERB
cana-6162	2	21	stable	stable	ADJ
cana-6162	2	22	diffusion	diffusion	NOUN
cana-6162	2	23	with	with	ADP
cana-6162	2	24	adaptive	adaptive	ADJ
cana-6162	2	25	upscaling	upscaling	NOUN
cana-6162	2	26	via	via	ADP
cana-6162	2	27	real	real	ADJ
cana-6162	2	28	-	-	PUNCT
cana-6162	2	29	esrgan	esrgan	NOUN
cana-6162	2	30	and	and	CCONJ
cana-6162	2	31	edsr	edsr	VERB
cana-6162	2	32	1st	1st	ADJ
cana-6162	2	33	shital.p.mohite	shital.p.mohite	PROPN
cana-6162	2	34	pillai	pillai	PROPN
cana-6162	2	35	hoc	hoc	X
cana-6162	2	36	college	college	NOUN
cana-6162	2	37	of	of	ADP
cana-6162	2	38	engineering	engineering	NOUN
cana-6162	2	39	and	and	CCONJ
cana-6162	2	40	technology	technology	NOUN
cana-6162	2	41	,	,	PUNCT
cana-6162	2	42	rasayani	rasayani	NOUN
cana-6162	2	43	,	,	PUNCT
cana-6162	2	44	university	university	NOUN
cana-6162	2	45	of	of	ADP
cana-6162	2	46	mumbai	mumbai	PROPN
cana-6162	2	47	mumbai	mumbai	PROPN
cana-6162	2	48	,	,	PUNCT
cana-6162	2	49	india	india	PROPN
cana-6162	2	50	2nd	2nd	PROPN
cana-6162	2	51	jagdish.w.bakal	jagdish.w.bakal	PROPN
cana-6162	2	52	pillai	pillai	PROPN
cana-6162	2	53	hoc	hoc	PROPN
cana-6162	2	54	college	college	NOUN
cana-6162	2	55	of	of	ADP
cana-6162	2	56	engineering	engineering	NOUN
cana-6162	2	57	and	and	CCONJ
cana-6162	2	58	technology	technology	NOUN
cana-6162	2	59	,	,	PUNCT
cana-6162	2	60	rasayani	rasayani	NOUN
cana-6162	2	61	,	,	PUNCT
cana-6162	2	62	university	university	NOUN
cana-6162	2	63	of	of	ADP
cana-6162	2	64	mumbai	mumbai	PROPN
cana-6162	2	65	mumbai	mumbai	PROPN
cana-6162	2	66	,	,	PUNCT
cana-6162	2	67	india	india	PROPN
cana-6162	2	68	3rd	3rd	PROPN
cana-6162	2	69	dr	dr	PROPN
cana-6162	2	70	.	.	PROPN
cana-6162	2	71	rajashree	rajashree	PROPN
cana-6162	2	72	gadhave	gadhave	PROPN
cana-6162	2	73	pillai	pillai	PROPN
cana-6162	2	74	hoc	hoc	PROPN
cana-6162	2	75	college	college	PROPN
cana-6162	2	76	of	of	ADP
cana-6162	2	77	engineering	engineering	NOUN
cana-6162	2	78	and	and	CCONJ
cana-6162	2	79	technology	technology	NOUN
cana-6162	2	80	,	,	PUNCT
cana-6162	2	81	rasayani	rasayani	NOUN
cana-6162	2	82	,	,	PUNCT
cana-6162	2	83	university	university	NOUN
cana-6162	2	84	of	of	ADP
cana-6162	2	85	mumbai	mumbai	PROPN
cana-6162	2	86	mumbai	mumbai	PROPN
cana-6162	2	87	,	,	PUNCT
cana-6162	2	88	india	india	PROPN
cana-6162	2	89	article	article	PROPN
cana-6162	2	90	history	history	NOUN
cana-6162	2	91	:	:	PUNCT
cana-6162	2	92	received	receive	VERB
cana-6162	2	93	:	:	PUNCT
cana-6162	2	94	06	06	NUM
cana-6162	2	95	-	-	SYM
cana-6162	2	96	08	08	NUM
cana-6162	2	97	-	-	PUNCT
cana-6162	2	98	2025	2025	NUM
cana-6162	2	99	revised	revise	VERB
cana-6162	2	100	:	:	PUNCT
cana-6162	2	101	27	27	NUM
cana-6162	2	102	-	-	SYM
cana-6162	2	103	09	09	NUM
cana-6162	2	104	-	-	PUNCT
cana-6162	2	105	2025	2025	NUM
cana-6162	2	106	accepted	accept	VERB
cana-6162	2	107	:	:	PUNCT
cana-6162	2	108	26	26	NUM
cana-6162	2	109	-	-	SYM
cana-6162	2	110	10	10	NUM
cana-6162	2	111	-	-	PUNCT
cana-6162	2	112	2025	2025	NUM
cana-6162	2	113	abstract	abstract	NOUN
cana-6162	2	114	:	:	PUNCT
cana-6162	2	115	text	text	NOUN
cana-6162	2	116	-	-	PUNCT
cana-6162	2	117	to	to	ADP
cana-6162	2	118	-	-	PUNCT
cana-6162	2	119	image	image	NOUN
cana-6162	2	120	generation	generation	NOUN
cana-6162	2	121	has	have	AUX
cana-6162	2	122	seen	see	VERB
cana-6162	2	123	tremendous	tremendous	ADJ
cana-6162	2	124	progress	progress	NOUN
cana-6162	2	125	with	with	ADP
cana-6162	2	126	diffusion	diffusion	NOUN
cana-6162	2	127	-	-	PUNCT
cana-6162	2	128	based	base	VERB
cana-6162	2	129	models	model	NOUN
cana-6162	2	130	like	like	ADP
cana-6162	2	131	stable	stable	ADJ
cana-6162	2	132	diffusion	diffusion	NOUN
cana-6162	2	133	,	,	PUNCT
cana-6162	2	134	but	but	CCONJ
cana-6162	2	135	their	their	PRON
cana-6162	2	136	native	native	ADJ
cana-6162	2	137	output	output	NOUN
cana-6162	2	138	resolutions	resolution	NOUN
cana-6162	2	139	often	often	ADV
cana-6162	2	140	fall	fall	VERB
cana-6162	2	141	short	short	ADJ
cana-6162	2	142	for	for	ADP
cana-6162	2	143	practical	practical	ADJ
cana-6162	2	144	applications	application	NOUN
cana-6162	2	145	.	.	PUNCT
cana-6162	3	1	to	to	PART
cana-6162	3	2	address	address	VERB
cana-6162	3	3	this	this	PRON
cana-6162	3	4	,	,	PUNCT
cana-6162	3	5	we	we	PRON
cana-6162	3	6	propose	propose	VERB
cana-6162	3	7	a	a	DET
cana-6162	3	8	unified	unified	ADJ
cana-6162	3	9	,	,	PUNCT
cana-6162	3	10	efficient	efficient	ADJ
cana-6162	3	11	,	,	PUNCT
cana-6162	3	12	and	and	CCONJ
cana-6162	3	13	modular	modular	ADJ
cana-6162	3	14	pipeline	pipeline	NOUN
cana-6162	3	15	,	,	PUNCT
cana-6162	3	16	generateand	generateand	NOUN
cana-6162	3	17	-	-	PUNCT
cana-6162	3	18	upscale	upscale	NOUN
cana-6162	3	19	-	-	PUNCT
cana-6162	3	20	image	image	NOUN
cana-6162	3	21	,	,	PUNCT
cana-6162	3	22	which	which	PRON
cana-6162	3	23	integrates	integrate	VERB
cana-6162	3	24	state	state	NOUN
cana-6162	3	25	-	-	PUNCT
cana-6162	3	26	of	of	ADP
cana-6162	3	27	-	-	PUNCT
cana-6162	3	28	the	the	DET
cana-6162	3	29	-	-	PUNCT
cana-6162	3	30	art	art	NOUN
cana-6162	3	31	image	image	NOUN
cana-6162	3	32	synthesis	synthesis	NOUN
cana-6162	3	33	and	and	CCONJ
cana-6162	3	34	adaptive	adaptive	ADJ
cana-6162	3	35	super	super	ADJ
cana-6162	3	36	-	-	ADJ
cana-6162	3	37	resolution	resolution	ADJ
cana-6162	3	38	techniques	technique	NOUN
cana-6162	3	39	.	.	PUNCT
cana-6162	4	1	the	the	DET
cana-6162	4	2	system	system	NOUN
cana-6162	4	3	produces	produce	VERB
cana-6162	4	4	base	base	NOUN
cana-6162	4	5	images	image	NOUN
cana-6162	4	6	from	from	ADP
cana-6162	4	7	text	text	NOUN
cana-6162	4	8	inputs	input	NOUN
cana-6162	4	9	with	with	ADP
cana-6162	4	10	stable	stable	ADJ
cana-6162	4	11	diffusion	diffusion	NOUN
cana-6162	4	12	and	and	CCONJ
cana-6162	4	13	can	can	AUX
cana-6162	4	14	upscale	upscale	VERB
cana-6162	4	15	them	they	PRON
cana-6162	4	16	with	with	ADP
cana-6162	4	17	edsr	edsr	NOUN
cana-6162	4	18	or	or	CCONJ
cana-6162	4	19	real	real	ADJ
cana-6162	4	20	-	-	PUNCT
cana-6162	4	21	esrgan	esrgan	NOUN
cana-6162	4	22	.	.	PUNCT
cana-6162	5	1	with	with	ADP
cana-6162	5	2	mixed	mixed	ADJ
cana-6162	5	3	-	-	PUNCT
cana-6162	5	4	precision	precision	NOUN
cana-6162	5	5	inference	inference	NOUN
cana-6162	5	6	,	,	PUNCT
cana-6162	5	7	we	we	PRON
cana-6162	5	8	enable	enable	VERB
cana-6162	5	9	both	both	PRON
cana-6162	5	10	cpu	cpu	NOUN
cana-6162	5	11	and	and	CCONJ
cana-6162	5	12	gpu	gpu	NOUN
cana-6162	5	13	execution	execution	NOUN
cana-6162	5	14	with	with	ADP
cana-6162	5	15	hardwareaware	hardwareaware	ADJ
cana-6162	5	16	optimisation	optimisation	NOUN
cana-6162	5	17	.	.	PUNCT
cana-6162	6	1	we	we	PRON
cana-6162	6	2	demonstrate	demonstrate	VERB
cana-6162	6	3	the	the	DET
cana-6162	6	4	superiority	superiority	NOUN
cana-6162	6	5	,	,	PUNCT
cana-6162	6	6	flexibility	flexibility	NOUN
cana-6162	6	7	,	,	PUNCT
cana-6162	6	8	and	and	CCONJ
cana-6162	6	9	efficacy	efficacy	NOUN
cana-6162	6	10	of	of	ADP
cana-6162	6	11	this	this	DET
cana-6162	6	12	pipeline	pipeline	NOUN
cana-6162	6	13	through	through	ADP
cana-6162	6	14	experimental	experimental	ADJ
cana-6162	6	15	analysis	analysis	NOUN
cana-6162	6	16	,	,	PUNCT
cana-6162	6	17	mathematical	mathematical	ADJ
cana-6162	6	18	modelling	modelling	NOUN
cana-6162	6	19	,	,	PUNCT
cana-6162	6	20	and	and	CCONJ
cana-6162	6	21	visual	visual	ADJ
cana-6162	6	22	comparisons	comparison	NOUN
cana-6162	6	23	keywords	keyword	NOUN
cana-6162	6	24	—	—	PUNCT
cana-6162	6	25	latent	latent	NOUN
cana-6162	6	26	diffusion	diffusion	NOUN
cana-6162	6	27	models	model	NOUN
cana-6162	6	28	,	,	PUNCT
cana-6162	6	29	super	super	NOUN
cana-6162	6	30	-	-	NOUN
cana-6162	6	31	resolution	resolution	NOUN
cana-6162	6	32	,	,	PUNCT
cana-6162	6	33	realesrgan	realesrgan	NOUN
cana-6162	6	34	,	,	PUNCT
cana-6162	6	35	edsr	edsr	NOUN
cana-6162	6	36	,	,	PUNCT
cana-6162	6	37	text	text	NOUN
cana-6162	6	38	-	-	PUNCT
cana-6162	6	39	to	to	ADP
cana-6162	6	40	-	-	PUNCT
cana-6162	6	41	image	image	NOUN
cana-6162	6	42	synthesis	synthesis	NOUN
cana-6162	6	43	,	,	PUNCT
cana-6162	6	44	stable	stable	ADJ
cana-6162	6	45	diffusion	diffusion	NOUN
cana-6162	6	46	,	,	PUNCT
cana-6162	6	47	image	image	NOUN
cana-6162	6	48	upscaling	upscale	VERB
cana-6162	6	49	introduction	introduction	NOUN
cana-6162	6	50	text	text	NOUN
cana-6162	6	51	-	-	PUNCT
cana-6162	6	52	to	to	ADP
cana-6162	6	53	-	-	PUNCT
cana-6162	6	54	image	image	NOUN
cana-6162	6	55	generation	generation	NOUN
cana-6162	6	56	is	be	AUX
cana-6162	6	57	a	a	DET
cana-6162	6	58	cross	cross	ADJ
cana-6162	6	59	-	-	ADJ
cana-6162	6	60	modal	modal	ADJ
cana-6162	6	61	task	task	NOUN
cana-6162	6	62	that	that	PRON
cana-6162	6	63	merges	merge	VERB
cana-6162	6	64	image	image	NOUN
cana-6162	6	65	creation	creation	NOUN
cana-6162	6	66	and	and	CCONJ
cana-6162	6	67	natural	natural	ADJ
cana-6162	6	68	language	language	NOUN
cana-6162	6	69	recognition	recognition	NOUN
cana-6162	6	70	.	.	PUNCT
cana-6162	7	1	with	with	ADP
cana-6162	7	2	the	the	DET
cana-6162	7	3	use	use	NOUN
cana-6162	7	4	of	of	ADP
cana-6162	7	5	generative	generative	ADJ
cana-6162	7	6	modelling	modelling	NOUN
cana-6162	7	7	strategies	strategy	NOUN
cana-6162	7	8	,	,	PUNCT
cana-6162	7	9	new	new	ADJ
cana-6162	7	10	models	model	NOUN
cana-6162	7	11	such	such	ADJ
cana-6162	7	12	as	as	ADP
cana-6162	7	13	dall•e	dall•e	PROPN
cana-6162	7	14	,	,	PUNCT
cana-6162	7	15	imagen	imagen	NOUN
cana-6162	7	16	,	,	PUNCT
cana-6162	7	17	and	and	CCONJ
cana-6162	7	18	stable	stable	ADJ
cana-6162	7	19	diffusion	diffusion	NOUN
cana-6162	7	20	have	have	AUX
cana-6162	7	21	made	make	VERB
cana-6162	7	22	great	great	ADJ
cana-6162	7	23	leaps	leap	NOUN
cana-6162	7	24	.	.	PUNCT
cana-6162	8	1	communications	communication	NOUN
cana-6162	8	2	on	on	ADP
cana-6162	8	3	applied	apply	VERB
cana-6162	8	4	nonlinear	nonlinear	ADJ
cana-6162	8	5	analysis	analysis	NOUN
cana-6162	8	6	issn	issn	NOUN
cana-6162	8	7	:	:	PUNCT
cana-6162	8	8	1074	1074	NUM
cana-6162	8	9	-	-	PUNCT
cana-6162	8	10	133x	133x	NUM
cana-6162	8	11	vol	vol	VERB
cana-6162	8	12	32	32	NUM
cana-6162	8	13	no	no	NOUN
cana-6162	8	14	.	.	PUNCT
cana-6162	9	1	10s	10	NOUN
cana-6162	9	2	(	(	PUNCT
cana-6162	9	3	2025	2025	NUM
cana-6162	9	4	)	)	PUNCT
cana-6162	9	5	3503	3503	NUM
cana-6162	9	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	9	7	despite	despite	SCONJ
cana-6162	9	8	these	these	DET
cana-6162	9	9	impressive	impressive	ADJ
cana-6162	9	10	semantic	semantic	ADJ
cana-6162	9	11	consistency	consistency	NOUN
cana-6162	9	12	levels	level	NOUN
cana-6162	9	13	,	,	PUNCT
cana-6162	9	14	their	their	PRON
cana-6162	9	15	resolution	resolution	NOUN
cana-6162	9	16	output	output	NOUN
cana-6162	9	17	is	be	AUX
cana-6162	9	18	limited	limited	ADJ
cana-6162	9	19	,	,	PUNCT
cana-6162	9	20	and	and	CCONJ
cana-6162	9	21	post	post	ADJ
cana-6162	9	22	-	-	ADJ
cana-6162	9	23	processing	processing	NOUN
cana-6162	9	24	is	be	AUX
cana-6162	9	25	often	often	ADV
cana-6162	9	26	required	require	VERB
cana-6162	9	27	to	to	PART
cana-6162	9	28	enhance	enhance	VERB
cana-6162	9	29	image	image	NOUN
cana-6162	9	30	quality	quality	NOUN
cana-6162	9	31	.	.	PUNCT
cana-6162	10	1	•	•	ADP
cana-6162	10	2	to	to	PART
cana-6162	10	3	circumvent	circumvent	VERB
cana-6162	10	4	this	this	DET
cana-6162	10	5	limit	limit	NOUN
cana-6162	10	6	,	,	PUNCT
cana-6162	10	7	we	we	PRON
cana-6162	10	8	introduce	introduce	VERB
cana-6162	10	9	the	the	DET
cana-6162	10	10	two	two	NUM
cana-6162	10	11	-	-	PUNCT
cana-6162	10	12	stage	stage	NOUN
cana-6162	10	13	text	text	NOUN
cana-6162	10	14	-	-	PUNCT
cana-6162	10	15	to	to	ADP
cana-6162	10	16	-	-	PUNCT
cana-6162	10	17	image	image	NOUN
cana-6162	10	18	generation	generation	NOUN
cana-6162	10	19	using	use	VERB
cana-6162	10	20	stable	stable	ADJ
cana-6162	10	21	diffusion	diffusion	NOUN
cana-6162	10	22	.	.	PUNCT
cana-6162	11	1	•	•	NUM
cana-6162	11	2	super	super	NOUN
cana-6162	11	3	-	-	NOUN
cana-6162	11	4	resolution	resolution	NOUN
cana-6162	11	5	through	through	ADP
cana-6162	11	6	either	either	CCONJ
cana-6162	11	7	real	real	ADJ
cana-6162	11	8	-	-	PUNCT
cana-6162	11	9	esrgan	esrgan	NOUN
cana-6162	11	10	or	or	CCONJ
cana-6162	11	11	edsr	edsr	NOUN
cana-6162	11	12	.	.	PUNCT
cana-6162	12	1	our	our	PRON
cana-6162	12	2	approach	approach	NOUN
cana-6162	12	3	integrates	integrate	VERB
cana-6162	12	4	model	model	NOUN
cana-6162	12	5	selection	selection	NOUN
cana-6162	12	6	and	and	CCONJ
cana-6162	12	7	device	device	NOUN
cana-6162	12	8	-	-	PUNCT
cana-6162	12	9	aware	aware	ADJ
cana-6162	12	10	optimization	optimization	NOUN
cana-6162	12	11	,	,	PUNCT
cana-6162	12	12	offering	offer	VERB
cana-6162	12	13	a	a	DET
cana-6162	12	14	userconfigurable	userconfigurable	ADJ
cana-6162	12	15	,	,	PUNCT
cana-6162	12	16	lightweight	lightweight	ADJ
cana-6162	12	17	,	,	PUNCT
cana-6162	12	18	and	and	CCONJ
cana-6162	12	19	scalable	scalable	ADJ
cana-6162	12	20	image	image	NOUN
cana-6162	12	21	synthesis	synthesis	NOUN
cana-6162	12	22	pipeline	pipeline	NOUN
cana-6162	12	23	.	.	PUNCT
cana-6162	13	1	the	the	DET
cana-6162	13	2	task	task	NOUN
cana-6162	13	3	of	of	ADP
cana-6162	13	4	text	text	NOUN
cana-6162	13	5	-	-	PUNCT
cana-6162	13	6	to	to	ADP
cana-6162	13	7	-	-	PUNCT
cana-6162	13	8	image	image	NOUN
cana-6162	13	9	synthesis	synthesis	NOUN
cana-6162	13	10	represents	represent	VERB
cana-6162	13	11	a	a	DET
cana-6162	13	12	fascinating	fascinating	ADJ
cana-6162	13	13	intersection	intersection	NOUN
cana-6162	13	14	of	of	ADP
cana-6162	13	15	natural	natural	ADJ
cana-6162	13	16	language	language	NOUN
cana-6162	13	17	understanding	understanding	NOUN
cana-6162	13	18	and	and	CCONJ
cana-6162	13	19	advanced	advanced	ADJ
cana-6162	13	20	image	image	NOUN
cana-6162	13	21	generation	generation	NOUN
cana-6162	13	22	methodologies	methodology	NOUN
cana-6162	13	23	.	.	PUNCT
cana-6162	14	1	recent	recent	ADJ
cana-6162	14	2	breakthroughs	breakthrough	NOUN
cana-6162	14	3	in	in	ADP
cana-6162	14	4	generative	generative	ADJ
cana-6162	14	5	modeling	modeling	NOUN
cana-6162	14	6	have	have	AUX
cana-6162	14	7	led	lead	VERB
cana-6162	14	8	to	to	ADP
cana-6162	14	9	the	the	DET
cana-6162	14	10	development	development	NOUN
cana-6162	14	11	of	of	ADP
cana-6162	14	12	powerful	powerful	ADJ
cana-6162	14	13	models	model	NOUN
cana-6162	14	14	like	like	ADP
cana-6162	14	15	dall•e	dall•e	PROPN
cana-6162	14	16	,	,	PUNCT
cana-6162	14	17	imagen	imagen	NOUN
cana-6162	14	18	,	,	PUNCT
cana-6162	14	19	and	and	CCONJ
cana-6162	14	20	stable	stable	ADJ
cana-6162	14	21	diffusion	diffusion	NOUN
cana-6162	14	22	,	,	PUNCT
cana-6162	14	23	which	which	PRON
cana-6162	14	24	have	have	AUX
cana-6162	14	25	demonstrated	demonstrate	VERB
cana-6162	14	26	remarkable	remarkable	ADJ
cana-6162	14	27	capabilities	capability	NOUN
cana-6162	14	28	in	in	ADP
cana-6162	14	29	translating	translate	VERB
cana-6162	14	30	textual	textual	ADJ
cana-6162	14	31	descriptions	description	NOUN
cana-6162	14	32	into	into	ADP
cana-6162	14	33	visually	visually	ADV
cana-6162	14	34	coherent	coherent	ADJ
cana-6162	14	35	images	image	NOUN
cana-6162	14	36	.	.	PUNCT
cana-6162	15	1	these	these	DET
cana-6162	15	2	models	model	NOUN
cana-6162	15	3	leverage	leverage	VERB
cana-6162	15	4	sophisticated	sophisticated	ADJ
cana-6162	15	5	deep	deep	ADJ
cana-6162	15	6	learning	learning	NOUN
cana-6162	15	7	architectures	architecture	NOUN
cana-6162	15	8	and	and	CCONJ
cana-6162	15	9	large	large	ADJ
cana-6162	15	10	-	-	PUNCT
cana-6162	15	11	scale	scale	NOUN
cana-6162	15	12	datasets	dataset	NOUN
cana-6162	15	13	to	to	PART
cana-6162	15	14	achieve	achieve	VERB
cana-6162	15	15	impressive	impressive	ADJ
cana-6162	15	16	semantic	semantic	ADJ
cana-6162	15	17	alignment	alignment	NOUN
cana-6162	15	18	between	between	ADP
cana-6162	15	19	the	the	DET
cana-6162	15	20	input	input	NOUN
cana-6162	15	21	text	text	NOUN
cana-6162	15	22	and	and	CCONJ
cana-6162	15	23	the	the	DET
cana-6162	15	24	generated	generate	VERB
cana-6162	15	25	output	output	NOUN
cana-6162	15	26	.	.	PUNCT
cana-6162	16	1	however	however	ADV
cana-6162	16	2	,	,	PUNCT
cana-6162	16	3	a	a	DET
cana-6162	16	4	common	common	ADJ
cana-6162	16	5	bottleneck	bottleneck	NOUN
cana-6162	16	6	in	in	ADP
cana-6162	16	7	these	these	DET
cana-6162	16	8	state	state	NOUN
cana-6162	16	9	-	-	PUNCT
cana-6162	16	10	of	of	ADP
cana-6162	16	11	-	-	PUNCT
cana-6162	16	12	the	the	DET
cana-6162	16	13	-	-	PUNCT
cana-6162	16	14	art	art	NOUN
cana-6162	16	15	models	model	NOUN
cana-6162	16	16	lies	lie	VERB
cana-6162	16	17	in	in	ADP
cana-6162	16	18	the	the	DET
cana-6162	16	19	inherent	inherent	ADJ
cana-6162	16	20	limitations	limitation	NOUN
cana-6162	16	21	of	of	ADP
cana-6162	16	22	their	their	PRON
cana-6162	16	23	native	native	ADJ
cana-6162	16	24	output	output	NOUN
cana-6162	16	25	resolution	resolution	NOUN
cana-6162	16	26	.	.	PUNCT
cana-6162	17	1	although	although	SCONJ
cana-6162	17	2	the	the	DET
cana-6162	17	3	generated	generate	VERB
cana-6162	17	4	images	image	NOUN
cana-6162	17	5	'	'	PART
cana-6162	17	6	semantic	semantic	ADJ
cana-6162	17	7	content	content	NOUN
cana-6162	17	8	frequently	frequently	ADV
cana-6162	17	9	demonstrates	demonstrate	VERB
cana-6162	17	10	a	a	DET
cana-6162	17	11	high	high	ADJ
cana-6162	17	12	degree	degree	NOUN
cana-6162	17	13	of	of	ADP
cana-6162	17	14	fidelity	fidelity	NOUN
cana-6162	17	15	to	to	ADP
cana-6162	17	16	the	the	DET
cana-6162	17	17	textual	textual	ADJ
cana-6162	17	18	prompts	prompt	NOUN
cana-6162	17	19	,	,	PUNCT
cana-6162	17	20	the	the	DET
cana-6162	17	21	spatial	spatial	ADJ
cana-6162	17	22	resolution	resolution	NOUN
cana-6162	17	23	in	in	ADP
cana-6162	17	24	many	many	ADJ
cana-6162	17	25	cases	case	NOUN
cana-6162	17	26	is	be	AUX
cana-6162	17	27	insufficient	insufficient	ADJ
cana-6162	17	28	to	to	PART
cana-6162	17	29	produce	produce	VERB
cana-6162	17	30	visually	visually	ADV
cana-6162	17	31	stunning	stunning	ADJ
cana-6162	17	32	images	image	NOUN
cana-6162	17	33	,	,	PUNCT
cana-6162	17	34	often	often	ADV
cana-6162	17	35	requiring	require	VERB
cana-6162	17	36	additional	additional	ADJ
cana-6162	17	37	post	post	ADJ
cana-6162	17	38	-	-	ADJ
cana-6162	17	39	processing	processing	ADJ
cana-6162	17	40	steps	step	NOUN
cana-6162	17	41	to	to	PART
cana-6162	17	42	improve	improve	VERB
cana-6162	17	43	image	image	NOUN
cana-6162	17	44	clarity	clarity	NOUN
cana-6162	17	45	and	and	CCONJ
cana-6162	17	46	overall	overall	ADJ
cana-6162	17	47	aesthetic	aesthetic	ADJ
cana-6162	17	48	appeal	appeal	NOUN
cana-6162	17	49	.	.	PUNCT
cana-6162	18	1	if	if	SCONJ
cana-6162	18	2	done	do	VERB
cana-6162	18	3	without	without	ADP
cana-6162	18	4	prudence	prudence	NOUN
cana-6162	18	5	,	,	PUNCT
cana-6162	18	6	this	this	DET
cana-6162	18	7	reliance	reliance	NOUN
cana-6162	18	8	on	on	ADP
cana-6162	18	9	post	post	ADJ
cana-6162	18	10	-	-	ADJ
cana-6162	18	11	processing	processing	NOUN
cana-6162	18	12	at	at	ADP
cana-6162	18	13	times	time	NOUN
cana-6162	18	14	results	result	NOUN
cana-6162	18	15	in	in	ADP
cana-6162	18	16	artefacts	artefact	NOUN
cana-6162	18	17	or	or	CCONJ
cana-6162	18	18	incoherencies	incoherency	NOUN
cana-6162	18	19	and	and	CCONJ
cana-6162	18	20	adds	add	VERB
cana-6162	18	21	computational	computational	ADJ
cana-6162	18	22	burden	burden	NOUN
cana-6162	18	23	.	.	PUNCT
cana-6162	19	1	overcoming	overcome	VERB
cana-6162	19	2	resolution	resolution	NOUN
cana-6162	19	3	challenges	challenge	VERB
cana-6162	19	4	a	a	DET
cana-6162	19	5	twophase	twophase	NOUN
cana-6162	19	6	solution	solution	NOUN
cana-6162	19	7	in	in	ADP
cana-6162	19	8	order	order	NOUN
cana-6162	19	9	to	to	PART
cana-6162	19	10	effectively	effectively	ADV
cana-6162	19	11	combat	combat	VERB
cana-6162	19	12	the	the	DET
cana-6162	19	13	aforementioned	aforementioned	ADJ
cana-6162	19	14	resolution	resolution	NOUN
cana-6162	19	15	limitations	limitation	NOUN
cana-6162	19	16	in	in	ADP
cana-6162	19	17	text	text	NOUN
cana-6162	19	18	-	-	PUNCT
cana-6162	19	19	to	to	ADP
cana-6162	19	20	-	-	PUNCT
cana-6162	19	21	image	image	NOUN
cana-6162	19	22	generation	generation	NOUN
cana-6162	19	23	,	,	PUNCT
cana-6162	19	24	we	we	PRON
cana-6162	19	25	introduce	introduce	VERB
cana-6162	19	26	a	a	DET
cana-6162	19	27	whole	whole	ADJ
cana-6162	19	28	new	new	ADJ
cana-6162	19	29	double	double	ADJ
cana-6162	19	30	-	-	PUNCT
cana-6162	19	31	stage	stage	NOUN
cana-6162	19	32	framework	framework	NOUN
cana-6162	19	33	that	that	PRON
cana-6162	19	34	produces	produce	VERB
cana-6162	19	35	high	high	ADJ
cana-6162	19	36	-	-	PUNCT
cana-6162	19	37	resolution	resolution	NOUN
cana-6162	19	38	images	image	NOUN
cana-6162	19	39	without	without	ADP
cana-6162	19	40	compromising	compromise	VERB
cana-6162	19	41	on	on	ADP
cana-6162	19	42	the	the	DET
cana-6162	19	43	semantic	semantic	ADJ
cana-6162	19	44	coherence	coherence	NOUN
cana-6162	19	45	obtained	obtain	VERB
cana-6162	19	46	by	by	ADP
cana-6162	19	47	models	model	NOUN
cana-6162	19	48	such	such	ADJ
cana-6162	19	49	as	as	ADP
cana-6162	19	50	stable	stable	ADJ
cana-6162	19	51	diffusion	diffusion	NOUN
cana-6162	19	52	.	.	PUNCT
cana-6162	20	1	our	our	PRON
cana-6162	20	2	method	method	NOUN
cana-6162	20	3	enables	enable	VERB
cana-6162	20	4	an	an	DET
cana-6162	20	5	even	even	ADV
cana-6162	20	6	more	more	ADV
cana-6162	20	7	efficient	efficient	ADJ
cana-6162	20	8	and	and	CCONJ
cana-6162	20	9	modular	modular	ADJ
cana-6162	20	10	pipeline	pipeline	NOUN
cana-6162	20	11	by	by	ADP
cana-6162	20	12	separating	separate	VERB
cana-6162	20	13	the	the	DET
cana-6162	20	14	first	first	ADJ
cana-6162	20	15	content	content	NOUN
cana-6162	20	16	creation	creation	NOUN
cana-6162	20	17	and	and	CCONJ
cana-6162	20	18	the	the	DET
cana-6162	20	19	following	follow	VERB
cana-6162	20	20	resolution	resolution	NOUN
cana-6162	20	21	improvement	improvement	NOUN
cana-6162	20	22	into	into	ADP
cana-6162	20	23	two	two	NUM
cana-6162	20	24	different	different	ADJ
cana-6162	20	25	processes	process	NOUN
cana-6162	20	26	.	.	PUNCT
cana-6162	21	1	our	our	PRON
cana-6162	21	2	architecture	architecture	NOUN
cana-6162	21	3	consists	consist	VERB
cana-6162	21	4	of	of	ADP
cana-6162	21	5	two	two	NUM
cana-6162	21	6	separate	separate	ADJ
cana-6162	21	7	but	but	CCONJ
cana-6162	21	8	independent	independent	ADJ
cana-6162	21	9	text	text	NOUN
cana-6162	21	10	-	-	PUNCT
cana-6162	21	11	to	to	ADP
cana-6162	21	12	-	-	PUNCT
cana-6162	21	13	image	image	NOUN
cana-6162	21	14	generation	generation	NOUN
cana-6162	21	15	via	via	ADP
cana-6162	21	16	stable	stable	ADJ
cana-6162	21	17	diffusion	diffusion	NOUN
cana-6162	21	18	the	the	DET
cana-6162	21	19	first	first	ADJ
cana-6162	21	20	part	part	NOUN
cana-6162	21	21	of	of	ADP
cana-6162	21	22	our	our	PRON
cana-6162	21	23	architecture	architecture	NOUN
cana-6162	21	24	employs	employ	VERB
cana-6162	21	25	the	the	DET
cana-6162	21	26	strength	strength	NOUN
cana-6162	21	27	of	of	ADP
cana-6162	21	28	stable	stable	ADJ
cana-6162	21	29	diffusions	diffusion	NOUN
cana-6162	21	30	to	to	PART
cana-6162	21	31	create	create	VERB
cana-6162	21	32	an	an	DET
cana-6162	21	33	image	image	NOUN
cana-6162	21	34	out	out	ADP
cana-6162	21	35	of	of	ADP
cana-6162	21	36	a	a	DET
cana-6162	21	37	text	text	NOUN
cana-6162	21	38	description	description	NOUN
cana-6162	21	39	.	.	PUNCT
cana-6162	22	1	with	with	ADP
cana-6162	22	2	its	its	PRON
cana-6162	22	3	strong	strong	ADJ
cana-6162	22	4	latent	latent	NOUN
cana-6162	22	5	diffusion	diffusion	NOUN
cana-6162	22	6	process	process	NOUN
cana-6162	22	7	,	,	PUNCT
cana-6162	22	8	stable	stable	ADJ
cana-6162	22	9	diffusion	diffusion	NOUN
cana-6162	22	10	excels	excel	NOUN
cana-6162	22	11	in	in	ADP
cana-6162	22	12	capturing	capture	VERB
cana-6162	22	13	the	the	DET
cana-6162	22	14	semantic	semantic	ADJ
cana-6162	22	15	meaning	meaning	NOUN
cana-6162	22	16	of	of	ADP
cana-6162	22	17	the	the	DET
cana-6162	22	18	input	input	NOUN
cana-6162	22	19	question	question	NOUN
cana-6162	22	20	and	and	CCONJ
cana-6162	22	21	translating	translate	VERB
cana-6162	22	22	it	it	PRON
cana-6162	22	23	into	into	ADP
cana-6162	22	24	a	a	DET
cana-6162	22	25	visual	visual	ADJ
cana-6162	22	26	form	form	NOUN
cana-6162	22	27	that	that	PRON
cana-6162	22	28	is	be	AUX
cana-6162	22	29	representative	representative	ADJ
cana-6162	22	30	.	.	PUNCT
cana-6162	23	1	semantic	semantic	ADJ
cana-6162	23	2	coherence	coherence	NOUN
cana-6162	23	3	and	and	CCONJ
cana-6162	23	4	the	the	DET
cana-6162	23	5	establishment	establishment	NOUN
cana-6162	23	6	of	of	ADP
cana-6162	23	7	the	the	DET
cana-6162	23	8	necessary	necessary	ADJ
cana-6162	23	9	visual	visual	ADJ
cana-6162	23	10	form	form	NOUN
cana-6162	23	11	of	of	ADP
cana-6162	23	12	the	the	DET
cana-6162	23	13	desired	desire	VERB
cana-6162	23	14	output	output	NOUN
cana-6162	23	15	are	be	AUX
cana-6162	23	16	the	the	DET
cana-6162	23	17	key	key	ADJ
cana-6162	23	18	goals	goal	NOUN
cana-6162	23	19	of	of	ADP
cana-6162	23	20	this	this	DET
cana-6162	23	21	step	step	NOUN
cana-6162	23	22	.	.	PUNCT
cana-6162	24	1	adaptive	adaptive	ADJ
cana-6162	24	2	super	super	ADJ
cana-6162	24	3	-	-	NOUN
cana-6162	24	4	resolution	resolution	NOUN
cana-6162	24	5	using	use	VERB
cana-6162	24	6	real	real	ADJ
cana-6162	24	7	-	-	PUNCT
cana-6162	24	8	esrgan	esrgan	NOUN
cana-6162	24	9	or	or	CCONJ
cana-6162	24	10	edsr	edsr	NOUN
cana-6162	24	11	upgrading	upgrade	VERB
cana-6162	24	12	the	the	DET
cana-6162	24	13	spatial	spatial	ADJ
cana-6162	24	14	resolution	resolution	NOUN
cana-6162	24	15	of	of	ADP
cana-6162	24	16	the	the	DET
cana-6162	24	17	image	image	NOUN
cana-6162	24	18	produced	produce	VERB
cana-6162	24	19	by	by	ADP
cana-6162	24	20	stable	stable	ADJ
cana-6162	24	21	diffusion	diffusion	NOUN
cana-6162	24	22	is	be	AUX
cana-6162	24	23	the	the	DET
cana-6162	24	24	second	second	ADJ
cana-6162	24	25	most	most	ADV
cana-6162	24	26	important	important	ADJ
cana-6162	24	27	step	step	NOUN
cana-6162	24	28	.	.	PUNCT
cana-6162	25	1	communications	communication	NOUN
cana-6162	25	2	on	on	ADP
cana-6162	25	3	applied	apply	VERB
cana-6162	25	4	nonlinear	nonlinear	ADJ
cana-6162	25	5	analysis	analysis	NOUN
cana-6162	25	6	issn	issn	NOUN
cana-6162	25	7	:	:	PUNCT
cana-6162	25	8	1074	1074	NUM
cana-6162	25	9	-	-	PUNCT
cana-6162	25	10	133x	133x	NUM
cana-6162	25	11	vol	vol	VERB
cana-6162	25	12	32	32	NUM
cana-6162	25	13	no	no	NOUN
cana-6162	25	14	.	.	PUNCT
cana-6162	26	1	10s	10	NOUN
cana-6162	26	2	(	(	PUNCT
cana-6162	26	3	2025	2025	NUM
cana-6162	26	4	)	)	PUNCT
cana-6162	26	5	3504	3504	NUM
cana-6162	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	26	7	•	•	NOUN
cana-6162	26	8	in	in	ADP
cana-6162	26	9	order	order	NOUN
cana-6162	26	10	to	to	PART
cana-6162	26	11	do	do	AUX
cana-6162	26	12	this	this	PRON
cana-6162	26	13	,	,	PUNCT
cana-6162	26	14	our	our	PRON
cana-6162	26	15	system	system	NOUN
cana-6162	26	16	utilizes	utilize	VERB
cana-6162	26	17	a	a	DET
cana-6162	26	18	number	number	NOUN
cana-6162	26	19	of	of	ADP
cana-6162	26	20	state	state	NOUN
cana-6162	26	21	-	-	PUNCT
cana-6162	26	22	of	of	ADP
cana-6162	26	23	-	-	PUNCT
cana-6162	26	24	the	the	DET
cana-6162	26	25	-	-	PUNCT
cana-6162	26	26	art	art	NOUN
cana-6162	26	27	single	single	ADJ
cana-6162	26	28	image	image	NOUN
cana-6162	26	29	super	super	NOUN
cana-6162	26	30	-	-	NOUN
cana-6162	26	31	resolution	resolution	ADJ
cana-6162	26	32	•	•	NOUN
cana-6162	26	33	(	(	PUNCT
cana-6162	26	34	sisr	sisr	NOUN
cana-6162	26	35	)	)	PUNCT
cana-6162	26	36	models	model	NOUN
cana-6162	26	37	,	,	PUNCT
cana-6162	26	38	namely	namely	ADV
cana-6162	26	39	edsr	edsr	NOUN
cana-6162	26	40	(	(	PUNCT
cana-6162	26	41	enhanced	enhance	VERB
cana-6162	26	42	deep	deep	ADJ
cana-6162	26	43	residual	residual	ADJ
cana-6162	26	44	networks	network	NOUN
cana-6162	26	45	for	for	ADP
cana-6162	26	46	single	single	ADJ
cana-6162	26	47	image	image	NOUN
cana-6162	26	48	)	)	PUNCT
cana-6162	26	49	and	and	CCONJ
cana-6162	26	50	real	real	ADJ
cana-6162	26	51	-	-	PUNCT
cana-6162	26	52	esrgan	esrgan	NOUN
cana-6162	26	53	•	•	NOUN
cana-6162	26	54	(	(	PUNCT
cana-6162	26	55	real	real	ADJ
cana-6162	26	56	-	-	PUNCT
cana-6162	26	57	world	world	NOUN
cana-6162	26	58	enhanced	enhance	VERB
cana-6162	26	59	super	super	ADJ
cana-6162	26	60	-	-	ADJ
cana-6162	26	61	resolution	resolution	ADJ
cana-6162	26	62	generative	generative	ADJ
cana-6162	26	63	adversarial	adversarial	ADJ
cana-6162	26	64	network	network	NOUN
cana-6162	26	65	)	)	PUNCT
cana-6162	26	66	.	.	PUNCT
cana-6162	27	1	other	other	ADJ
cana-6162	27	2	key	key	ADJ
cana-6162	27	3	features	feature	NOUN
cana-6162	27	4	in	in	ADP
cana-6162	27	5	addition	addition	NOUN
cana-6162	27	6	to	to	ADP
cana-6162	27	7	the	the	DET
cana-6162	27	8	underlying	underlying	ADJ
cana-6162	27	9	dual	dual	ADJ
cana-6162	27	10	-	-	PUNCT
cana-6162	27	11	stage	stage	NOUN
cana-6162	27	12	architecture	architecture	NOUN
cana-6162	27	13	,	,	PUNCT
cana-6162	27	14	our	our	PRON
cana-6162	27	15	system	system	NOUN
cana-6162	27	16	also	also	ADV
cana-6162	27	17	features	feature	VERB
cana-6162	27	18	a	a	DET
cana-6162	27	19	range	range	NOUN
cana-6162	27	20	of	of	ADP
cana-6162	27	21	key	key	ADJ
cana-6162	27	22	features	feature	NOUN
cana-6162	27	23	that	that	PRON
cana-6162	27	24	are	be	AUX
cana-6162	27	25	accountable	accountable	ADJ
cana-6162	27	26	for	for	ADP
cana-6162	27	27	its	its	PRON
cana-6162	27	28	usability	usability	NOUN
cana-6162	27	29	and	and	CCONJ
cana-6162	27	30	efficiency	efficiency	NOUN
cana-6162	27	31	.	.	PUNCT
cana-6162	28	1	we	we	PRON
cana-6162	28	2	employ	employ	VERB
cana-6162	28	3	an	an	DET
cana-6162	28	4	intelligent	intelligent	ADJ
cana-6162	28	5	model	model	NOUN
cana-6162	28	6	selection	selection	NOUN
cana-6162	28	7	mechanism	mechanism	NOUN
cana-6162	28	8	in	in	ADP
cana-6162	28	9	theory	theory	NOUN
cana-6162	28	10	allowing	allow	VERB
cana-6162	28	11	the	the	DET
cana-6162	28	12	system	system	NOUN
cana-6162	28	13	to	to	PART
cana-6162	28	14	automatically	automatically	ADV
cana-6162	28	15	or	or	CCONJ
cana-6162	28	16	semi	semi	ADV
cana-6162	28	17	-	-	ADJ
cana-6162	28	18	automatically	automatically	ADV
cana-6162	28	19	determine	determine	VERB
cana-6162	28	20	the	the	DET
cana-6162	28	21	best	good	ADJ
cana-6162	28	22	super	super	ADJ
cana-6162	28	23	-	-	ADJ
cana-6162	28	24	resolution	resolution	ADJ
cana-6162	28	25	model	model	NOUN
cana-6162	28	26	(	(	PUNCT
cana-6162	28	27	realesrgan	realesrgan	NOUN
cana-6162	28	28	or	or	CCONJ
cana-6162	28	29	edsr	edsr	NOUN
cana-6162	28	30	)	)	PUNCT
cana-6162	28	31	based	base	VERB
cana-6162	28	32	on	on	ADP
cana-6162	28	33	the	the	DET
cana-6162	28	34	factors	factor	NOUN
cana-6162	28	35	such	such	ADJ
cana-6162	28	36	as	as	ADP
cana-6162	28	37	the	the	DET
cana-6162	28	38	characteristics	characteristic	NOUN
cana-6162	28	39	of	of	ADP
cana-6162	28	40	the	the	DET
cana-6162	28	41	original	original	ADJ
cana-6162	28	42	lowresolution	lowresolution	NOUN
cana-6162	28	43	image	image	NOUN
cana-6162	28	44	or	or	CCONJ
cana-6162	28	45	user	user	NOUN
cana-6162	28	46	preferences	preference	NOUN
cana-6162	28	47	.	.	PUNCT
cana-6162	29	1	a.	a.	NOUN
cana-6162	29	2	the	the	DET
cana-6162	29	3	framework	framework	NOUN
cana-6162	29	4	is	be	AUX
cana-6162	29	5	furthermore	furthermore	ADV
cana-6162	29	6	device	device	NOUN
cana-6162	29	7	-	-	PUNCT
cana-6162	29	8	aware	aware	ADJ
cana-6162	29	9	optimized	optimize	VERB
cana-6162	29	10	.	.	PUNCT
cana-6162	30	1	this	this	PRON
cana-6162	30	2	means	mean	VERB
cana-6162	30	3	considering	consider	VERB
cana-6162	30	4	the	the	DET
cana-6162	30	5	available	available	ADJ
cana-6162	30	6	computational	computational	ADJ
cana-6162	30	7	resources	resource	NOUN
cana-6162	30	8	,	,	PUNCT
cana-6162	30	9	including	include	VERB
cana-6162	30	10	the	the	DET
cana-6162	30	11	presence	presence	NOUN
cana-6162	30	12	and	and	CCONJ
cana-6162	30	13	availability	availability	NOUN
cana-6162	30	14	of	of	ADP
cana-6162	30	15	gpus	gpu	NOUN
cana-6162	30	16	,	,	PUNCT
cana-6162	30	17	to	to	PART
cana-6162	30	18	maximize	maximize	VERB
cana-6162	30	19	the	the	DET
cana-6162	30	20	performance	performance	NOUN
cana-6162	30	21	of	of	ADP
cana-6162	30	22	every	every	DET
cana-6162	30	23	stage	stage	NOUN
cana-6162	30	24	of	of	ADP
cana-6162	30	25	the	the	DET
cana-6162	30	26	pipeline	pipeline	NOUN
cana-6162	30	27	.	.	PUNCT
cana-6162	31	1	by	by	ADP
cana-6162	31	2	having	have	VERB
cana-6162	31	3	an	an	DET
cana-6162	31	4	intelligent	intelligent	ADJ
cana-6162	31	5	manner	manner	NOUN
cana-6162	31	6	of	of	ADP
cana-6162	31	7	controlling	control	VERB
cana-6162	31	8	computational	computational	ADJ
cana-6162	31	9	resources	resource	NOUN
cana-6162	31	10	,	,	PUNCT
cana-6162	31	11	the	the	DET
cana-6162	31	12	system	system	NOUN
cana-6162	31	13	aims	aim	VERB
cana-6162	31	14	to	to	PART
cana-6162	31	15	provide	provide	VERB
cana-6162	31	16	a	a	DET
cana-6162	31	17	user	user	NOUN
cana-6162	31	18	-	-	PUNCT
cana-6162	31	19	controllable	controllable	ADJ
cana-6162	31	20	,	,	PUNCT
cana-6162	31	21	lightweight	lightweight	ADJ
cana-6162	31	22	,	,	PUNCT
cana-6162	31	23	and	and	CCONJ
cana-6162	31	24	scalable	scalable	ADJ
cana-6162	31	25	approach	approach	NOUN
cana-6162	31	26	to	to	ADP
cana-6162	31	27	synthesizing	synthesize	VERB
cana-6162	31	28	high	high	ADJ
cana-6162	31	29	-	-	PUNCT
cana-6162	31	30	resolution	resolution	NOUN
cana-6162	31	31	images	image	NOUN
cana-6162	31	32	from	from	ADP
cana-6162	31	33	text	text	NOUN
cana-6162	31	34	-	-	PUNCT
cana-6162	31	35	based	base	VERB
cana-6162	31	36	descriptions	description	NOUN
cana-6162	31	37	.	.	PUNCT
cana-6162	32	1	such	such	ADJ
cana-6162	32	2	versatility	versatility	NOUN
cana-6162	32	3	facilitates	facilitate	VERB
cana-6162	32	4	the	the	DET
cana-6162	32	5	architecture	architecture	NOUN
cana-6162	32	6	to	to	PART
cana-6162	32	7	be	be	AUX
cana-6162	32	8	deployed	deploy	VERB
cana-6162	32	9	and	and	CCONJ
cana-6162	32	10	utilized	utilize	VERB
cana-6162	32	11	effectively	effectively	ADV
cana-6162	32	12	under	under	ADP
cana-6162	32	13	diverse	diverse	ADJ
cana-6162	32	14	hardware	hardware	NOUN
cana-6162	32	15	environments	environment	NOUN
cana-6162	32	16	,	,	PUNCT
cana-6162	32	17	and	and	CCONJ
cana-6162	32	18	thus	thus	ADV
cana-6162	32	19	high	high	ADJ
cana-6162	32	20	-	-	PUNCT
cana-6162	32	21	quality	quality	NOUN
cana-6162	32	22	synthesis	synthesis	NOUN
cana-6162	32	23	of	of	ADP
cana-6162	32	24	text	text	NOUN
cana-6162	32	25	to	to	ADP
cana-6162	32	26	images	image	NOUN
cana-6162	32	27	becomes	become	VERB
cana-6162	32	28	increasingly	increasingly	ADV
cana-6162	32	29	accessible	accessible	ADJ
cana-6162	32	30	.	.	PUNCT
cana-6162	33	1	finally	finally	ADV
cana-6162	33	2	,	,	PUNCT
cana-6162	33	3	our	our	PRON
cana-6162	33	4	suggested	suggest	VERB
cana-6162	33	5	two	two	NUM
cana-6162	33	6	-	-	PUNCT
cana-6162	33	7	stage	stage	NOUN
cana-6162	33	8	framework	framework	NOUN
cana-6162	33	9	is	be	AUX
cana-6162	33	10	a	a	DET
cana-6162	33	11	strong	strong	ADJ
cana-6162	33	12	and	and	CCONJ
cana-6162	33	13	adaptive	adaptive	ADJ
cana-6162	33	14	solution	solution	NOUN
cana-6162	33	15	towards	towards	ADP
cana-6162	33	16	overcoming	overcome	VERB
cana-6162	33	17	the	the	DET
cana-6162	33	18	resolution	resolution	NOUN
cana-6162	33	19	barriers	barrier	NOUN
cana-6162	33	20	in	in	ADP
cana-6162	33	21	current	current	ADJ
cana-6162	33	22	text	text	NOUN
cana-6162	33	23	-	-	PUNCT
cana-6162	33	24	to	to	ADP
cana-6162	33	25	-	-	PUNCT
cana-6162	33	26	image	image	NOUN
cana-6162	33	27	generation	generation	NOUN
cana-6162	33	28	models	model	NOUN
cana-6162	33	29	.	.	PUNCT
cana-6162	34	1	by	by	ADP
cana-6162	34	2	integrating	integrate	VERB
cana-6162	34	3	the	the	DET
cana-6162	34	4	semantic	semantic	ADJ
cana-6162	34	5	generation	generation	NOUN
cana-6162	34	6	power	power	NOUN
cana-6162	34	7	of	of	ADP
cana-6162	34	8	stable	stable	ADJ
cana-6162	34	9	diffusion	diffusion	NOUN
cana-6162	34	10	with	with	ADP
cana-6162	34	11	the	the	DET
cana-6162	34	12	advanced	advanced	ADJ
cana-6162	34	13	super	super	ADJ
cana-6162	34	14	-	-	ADJ
cana-6162	34	15	resolution	resolution	ADJ
cana-6162	34	16	capabilities	capability	NOUN
cana-6162	34	17	of	of	ADP
cana-6162	34	18	real	real	ADJ
cana-6162	34	19	-	-	PUNCT
cana-6162	34	20	esrgan	esrgan	NOUN
cana-6162	34	21	and	and	CCONJ
cana-6162	34	22	edsr	edsr	NOUN
cana-6162	34	23	,	,	PUNCT
cana-6162	34	24	and	and	CCONJ
cana-6162	34	25	by	by	ADP
cana-6162	34	26	incorporating	incorporate	VERB
cana-6162	34	27	features	feature	NOUN
cana-6162	34	28	like	like	ADP
cana-6162	34	29	model	model	NOUN
cana-6162	34	30	selection	selection	NOUN
cana-6162	34	31	and	and	CCONJ
cana-6162	34	32	device	device	NOUN
cana-6162	34	33	-	-	PUNCT
cana-6162	34	34	aware	aware	ADJ
cana-6162	34	35	optimization	optimization	NOUN
cana-6162	34	36	,	,	PUNCT
cana-6162	34	37	we	we	PRON
cana-6162	34	38	aim	aim	VERB
cana-6162	34	39	to	to	PART
cana-6162	34	40	provide	provide	VERB
cana-6162	34	41	a	a	DET
cana-6162	34	42	user	user	NOUN
cana-6162	34	43	-	-	PUNCT
cana-6162	34	44	configurable	configurable	ADJ
cana-6162	34	45	,	,	PUNCT
cana-6162	34	46	lightweight	lightweight	ADJ
cana-6162	34	47	,	,	PUNCT
cana-6162	34	48	and	and	CCONJ
cana-6162	34	49	scalable	scalable	ADJ
cana-6162	34	50	pipeline	pipeline	NOUN
cana-6162	34	51	for	for	ADP
cana-6162	34	52	generating	generate	VERB
cana-6162	34	53	high	high	ADJ
cana-6162	34	54	-	-	PUNCT
cana-6162	34	55	resolution	resolution	NOUN
cana-6162	34	56	images	image	NOUN
cana-6162	34	57	from	from	ADP
cana-6162	34	58	textual	textual	ADJ
cana-6162	34	59	descriptions	description	NOUN
cana-6162	34	60	,	,	PUNCT
cana-6162	34	61	thereby	thereby	ADV
cana-6162	34	62	significantly	significantly	ADV
cana-6162	34	63	enhancing	enhance	VERB
cana-6162	34	64	the	the	DET
cana-6162	34	65	quality	quality	NOUN
cana-6162	34	66	and	and	CCONJ
cana-6162	34	67	utility	utility	NOUN
cana-6162	34	68	of	of	ADP
cana-6162	34	69	text	text	NOUN
cana-6162	34	70	-	-	PUNCT
cana-6162	34	71	to	to	ADP
cana-6162	34	72	-	-	PUNCT
cana-6162	34	73	image	image	NOUN
cana-6162	34	74	synthesis	synthesis	NOUN
cana-6162	34	75	technology	technology	NOUN
cana-6162	34	76	ii	ii	PROPN
cana-6162	34	77	.	.	PROPN
cana-6162	34	78	related	relate	VERB
cana-6162	34	79	work	work	NOUN
cana-6162	34	80	a.	a.	NOUN
cana-6162	34	81	text	text	NOUN
cana-6162	34	82	-	-	PUNCT
cana-6162	34	83	to	to	ADP
cana-6162	34	84	-	-	PUNCT
cana-6162	34	85	image	image	NOUN
cana-6162	34	86	generation	generation	NOUN
cana-6162	34	87	early	early	ADJ
cana-6162	34	88	work	work	NOUN
cana-6162	34	89	focused	focus	VERB
cana-6162	34	90	on	on	ADP
cana-6162	34	91	gans	gan	NOUN
cana-6162	34	92	such	such	ADJ
cana-6162	34	93	as	as	ADP
cana-6162	34	94	stackgan	stackgan	ADJ
cana-6162	34	95	and	and	CCONJ
cana-6162	34	96	attngan	attngan	VERB
cana-6162	34	97	.	.	PUNCT
cana-6162	35	1	more	more	ADJ
cana-6162	35	2	recent	recent	ADJ
cana-6162	35	3	efforts	effort	NOUN
cana-6162	35	4	have	have	AUX
cana-6162	35	5	moved	move	VERB
cana-6162	35	6	towards	towards	ADP
cana-6162	35	7	autoregressive	autoregressive	ADJ
cana-6162	35	8	and	and	CCONJ
cana-6162	35	9	diffusion	diffusion	NOUN
cana-6162	35	10	-	-	PUNCT
cana-6162	35	11	based	base	VERB
cana-6162	35	12	models	model	NOUN
cana-6162	35	13	,	,	PUNCT
cana-6162	35	14	including	include	VERB
cana-6162	35	15	:	:	PUNCT
cana-6162	35	16	●	●	PUNCT
cana-6162	35	17	dall·e	dall·e	PROPN
cana-6162	35	18	[	[	X
cana-6162	35	19	ramesh	ramesh	PROPN
cana-6162	35	20	et	et	PROPN
cana-6162	35	21	al	al	PROPN
cana-6162	35	22	.	.	PROPN
cana-6162	35	23	,	,	PUNCT
cana-6162	35	24	2021	2021	NUM
cana-6162	35	25	]	]	PUNCT
cana-6162	35	26	●	●	PUNCT
cana-6162	35	27	imagen	imagen	NOUN
cana-6162	35	28	[	[	X
cana-6162	35	29	saharia	saharia	X
cana-6162	35	30	et	et	NOUN
cana-6162	35	31	al	al	PROPN
cana-6162	35	32	.	.	PROPN
cana-6162	35	33	,	,	PUNCT
cana-6162	35	34	2022	2022	NUM
cana-6162	35	35	]	]	PUNCT
cana-6162	35	36	●	●	NUM
cana-6162	35	37	stable	stable	ADJ
cana-6162	35	38	diffusion	diffusion	NOUN
cana-6162	35	39	[	[	X
cana-6162	35	40	rombach	rombach	VERB
cana-6162	35	41	et	et	PROPN
cana-6162	35	42	al	al	PROPN
cana-6162	35	43	.	.	PROPN
cana-6162	35	44	,	,	PUNCT
cana-6162	35	45	2022	2022	NUM
cana-6162	35	46	]	]	PUNCT
cana-6162	35	47	communications	communication	NOUN
cana-6162	35	48	on	on	ADP
cana-6162	35	49	applied	apply	VERB
cana-6162	35	50	nonlinear	nonlinear	ADJ
cana-6162	35	51	analysis	analysis	NOUN
cana-6162	35	52	issn	issn	NOUN
cana-6162	35	53	:	:	PUNCT
cana-6162	35	54	1074	1074	NUM
cana-6162	35	55	-	-	PUNCT
cana-6162	35	56	133x	133x	NUM
cana-6162	35	57	vol	vol	VERB
cana-6162	35	58	32	32	NUM
cana-6162	35	59	no	no	NOUN
cana-6162	35	60	.	.	PUNCT
cana-6162	36	1	10s	10	NOUN
cana-6162	36	2	(	(	PUNCT
cana-6162	36	3	2025	2025	NUM
cana-6162	36	4	)	)	PUNCT
cana-6162	36	5	3505	3505	NUM
cana-6162	36	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	36	7	stable	stable	ADJ
cana-6162	36	8	diffusion	diffusion	NOUN
cana-6162	36	9	achieves	achieve	VERB
cana-6162	36	10	high	high	ADJ
cana-6162	36	11	-	-	PUNCT
cana-6162	36	12	quality	quality	NOUN
cana-6162	36	13	synthesis	synthesis	NOUN
cana-6162	36	14	using	use	VERB
cana-6162	36	15	a	a	DET
cana-6162	36	16	latent	latent	NOUN
cana-6162	36	17	diffusion	diffusion	NOUN
cana-6162	36	18	process	process	NOUN
cana-6162	36	19	and	and	CCONJ
cana-6162	36	20	clipbased	clipbase	VERB
cana-6162	36	21	text	text	NOUN
cana-6162	36	22	embeddings	embedding	NOUN
cana-6162	36	23	.	.	PUNCT
cana-6162	37	1	b.	b.	PROPN
cana-6162	37	2	image	image	PROPN
cana-6162	37	3	super	super	NOUN
cana-6162	37	4	-	-	NOUN
cana-6162	37	5	resolution	resolution	ADJ
cana-6162	37	6	two	two	NUM
cana-6162	37	7	popular	popular	ADJ
cana-6162	37	8	models	model	NOUN
cana-6162	37	9	for	for	ADP
cana-6162	37	10	super	super	ADJ
cana-6162	37	11	-	-	ADJ
cana-6162	37	12	resolution	resolution	NOUN
cana-6162	37	13	include	include	VERB
cana-6162	37	14	:	:	PUNCT
cana-6162	37	15	●	●	PUNCT
cana-6162	37	16	real	real	ADJ
cana-6162	37	17	-	-	PUNCT
cana-6162	37	18	esrgan	esrgan	NOUN
cana-6162	38	1	[	[	X
cana-6162	38	2	wang	wang	PROPN
cana-6162	38	3	et	et	PROPN
cana-6162	38	4	al	al	PROPN
cana-6162	38	5	.	.	PROPN
cana-6162	38	6	,	,	PUNCT
cana-6162	38	7	2021	2021	NUM
cana-6162	38	8	]	]	PUNCT
cana-6162	38	9	:	:	PUNCT
cana-6162	38	10	➢	➢	VERB
cana-6162	38	11	a	a	DET
cana-6162	38	12	gan	gan	NOUN
cana-6162	38	13	-	-	PUNCT
cana-6162	38	14	based	base	VERB
cana-6162	38	15	model	model	NOUN
cana-6162	38	16	with	with	ADP
cana-6162	38	17	perceptual	perceptual	ADJ
cana-6162	38	18	loss	loss	NOUN
cana-6162	38	19	and	and	CCONJ
cana-6162	38	20	real	real	ADJ
cana-6162	38	21	-	-	PUNCT
cana-6162	38	22	world	world	NOUN
cana-6162	38	23	degradation	degradation	NOUN
cana-6162	38	24	simulation	simulation	NOUN
cana-6162	38	25	.	.	PUNCT
cana-6162	39	1	➢	➢	PROPN
cana-6162	39	2	edsr	edsr	PROPN
cana-6162	40	1	[	[	X
cana-6162	40	2	lim	lim	PROPN
cana-6162	40	3	et	et	PROPN
cana-6162	40	4	al	al	PROPN
cana-6162	40	5	.	.	PROPN
cana-6162	40	6	,	,	PUNCT
cana-6162	40	7	2017	2017	NUM
cana-6162	40	8	]	]	PUNCT
cana-6162	40	9	:	:	PUNCT
cana-6162	40	10	a	a	DET
cana-6162	40	11	deep	deep	ADJ
cana-6162	40	12	cnn	cnn	NOUN
cana-6162	40	13	architecture	architecture	NOUN
cana-6162	40	14	optimized	optimize	VERB
cana-6162	40	15	with	with	ADP
cana-6162	40	16	residual	residual	ADJ
cana-6162	40	17	blocks	block	NOUN
cana-6162	40	18	and	and	CCONJ
cana-6162	40	19	l1	l1	PROPN
cana-6162	40	20	loss	loss	NOUN
cana-6162	40	21	.	.	PUNCT
cana-6162	41	1	both	both	DET
cana-6162	41	2	models	model	NOUN
cana-6162	41	3	have	have	AUX
cana-6162	41	4	demonstrated	demonstrate	VERB
cana-6162	41	5	strong	strong	ADJ
cana-6162	41	6	performance	performance	NOUN
cana-6162	41	7	but	but	CCONJ
cana-6162	41	8	cater	cater	NOUN
cana-6162	41	9	to	to	ADP
cana-6162	41	10	different	different	ADJ
cana-6162	41	11	use	use	NOUN
cana-6162	41	12	cases	case	NOUN
cana-6162	41	13	:	:	PUNCT
cana-6162	41	14	perceptual	perceptual	ADJ
cana-6162	41	15	enhancement	enhancement	NOUN
cana-6162	41	16	vs.	vs.	ADP
cana-6162	41	17	pixel	pixel	PROPN
cana-6162	41	18	fidelity	fidelity	PROPN
cana-6162	41	19	.	.	PUNCT
cana-6162	42	1	this	this	DET
cana-6162	42	2	section	section	NOUN
cana-6162	42	3	provides	provide	VERB
cana-6162	42	4	an	an	DET
cana-6162	42	5	overview	overview	NOUN
cana-6162	42	6	of	of	ADP
cana-6162	42	7	relevant	relevant	ADJ
cana-6162	42	8	prior	prior	ADJ
cana-6162	42	9	research	research	NOUN
cana-6162	42	10	in	in	ADP
cana-6162	42	11	two	two	NUM
cana-6162	42	12	key	key	ADJ
cana-6162	42	13	areas	area	NOUN
cana-6162	42	14	that	that	PRON
cana-6162	42	15	form	form	VERB
cana-6162	42	16	the	the	DET
cana-6162	42	17	foundation	foundation	NOUN
cana-6162	42	18	of	of	ADP
cana-6162	42	19	our	our	PRON
cana-6162	42	20	proposed	propose	VERB
cana-6162	42	21	unified	unified	ADJ
cana-6162	42	22	framework	framework	NOUN
cana-6162	42	23	:	:	PUNCT
cana-6162	42	24	text	text	NOUN
cana-6162	42	25	-	-	PUNCT
cana-6162	42	26	to	to	ADP
cana-6162	42	27	-	-	PUNCT
cana-6162	42	28	image	image	NOUN
cana-6162	42	29	generation	generation	NOUN
cana-6162	42	30	and	and	CCONJ
cana-6162	42	31	image	image	VERB
cana-6162	42	32	superresolution.2.1	superresolution.2.1	DET
cana-6162	42	33	text	text	NOUN
cana-6162	42	34	-	-	PUNCT
cana-6162	42	35	to	to	ADP
cana-6162	42	36	-	-	PUNCT
cana-6162	42	37	image	image	NOUN
cana-6162	42	38	generation	generation	NOUN
cana-6162	42	39	more	more	ADV
cana-6162	42	40	recent	recent	ADJ
cana-6162	42	41	advancements	advancement	NOUN
cana-6162	42	42	have	have	AUX
cana-6162	42	43	shifted	shift	VERB
cana-6162	42	44	towards	towards	ADP
cana-6162	42	45	autoregressive	autoregressive	ADJ
cana-6162	42	46	models	model	NOUN
cana-6162	42	47	and	and	CCONJ
cana-6162	42	48	,	,	PUNCT
cana-6162	42	49	notably	notably	ADV
cana-6162	42	50	,	,	PUNCT
cana-6162	42	51	diffusion	diffusion	NOUN
cana-6162	42	52	-	-	PUNCT
cana-6162	42	53	based	base	VERB
cana-6162	42	54	models	model	NOUN
cana-6162	42	55	,	,	PUNCT
cana-6162	42	56	which	which	PRON
cana-6162	42	57	have	have	AUX
cana-6162	42	58	shown	show	VERB
cana-6162	42	59	remarkable	remarkable	ADJ
cana-6162	42	60	capabilities	capability	NOUN
cana-6162	42	61	in	in	ADP
cana-6162	42	62	generating	generate	VERB
cana-6162	42	63	high	high	ADJ
cana-6162	42	64	-	-	PUNCT
cana-6162	42	65	fidelity	fidelity	NOUN
cana-6162	42	66	and	and	CCONJ
cana-6162	42	67	diverse	diverse	ADJ
cana-6162	42	68	images	image	NOUN
cana-6162	42	69	from	from	ADP
cana-6162	42	70	text	text	NOUN
cana-6162	42	71	prompts	prompt	NOUN
cana-6162	42	72	.	.	PUNCT
cana-6162	43	1	prominent	prominent	ADJ
cana-6162	43	2	examples	example	NOUN
cana-6162	43	3	of	of	ADP
cana-6162	43	4	these	these	DET
cana-6162	43	5	cutting	cut	VERB
cana-6162	43	6	-	-	PUNCT
cana-6162	43	7	edge	edge	NOUN
cana-6162	43	8	models	model	NOUN
cana-6162	43	9	include	include	VERB
cana-6162	43	10	:	:	PUNCT
cana-6162	43	11	●	●	PUNCT
cana-6162	43	12	dall·e	dall·e	PROPN
cana-6162	43	13	[	[	X
cana-6162	43	14	ramesh	ramesh	PROPN
cana-6162	43	15	et	et	PROPN
cana-6162	43	16	al	al	PROPN
cana-6162	43	17	.	.	PROPN
cana-6162	43	18	,	,	PUNCT
cana-6162	43	19	2021	2021	NUM
cana-6162	43	20	]	]	PUNCT
cana-6162	43	21	:	:	PUNCT
cana-6162	43	22	➢	➢	X
cana-6162	43	23	developed	develop	VERB
cana-6162	43	24	by	by	ADP
cana-6162	43	25	openai	openai	NOUN
cana-6162	43	26	,	,	PUNCT
cana-6162	43	27	dall·e	dall·e	PROPN
cana-6162	43	28	demonstrated	demonstrate	VERB
cana-6162	43	29	an	an	DET
cana-6162	43	30	unprecedented	unprecedented	ADJ
cana-6162	43	31	ability	ability	NOUN
cana-6162	43	32	to	to	PART
cana-6162	43	33	generate	generate	VERB
cana-6162	43	34	creative	creative	ADJ
cana-6162	43	35	and	and	CCONJ
cana-6162	43	36	often	often	ADV
cana-6162	43	37	surreal	surreal	ADJ
cana-6162	43	38	images	image	NOUN
cana-6162	43	39	from	from	ADP
cana-6162	43	40	natural	natural	ADJ
cana-6162	43	41	language	language	NOUN
cana-6162	43	42	descriptions	description	NOUN
cana-6162	43	43	.	.	PUNCT
cana-6162	44	1	➢	➢	VERB
cana-6162	45	1	it	it	PRON
cana-6162	45	2	utilized	utilize	VERB
cana-6162	45	3	a	a	DET
cana-6162	45	4	transformer	transformer	ADJ
cana-6162	45	5	architecture	architecture	NOUN
cana-6162	45	6	to	to	PART
cana-6162	45	7	model	model	VERB
cana-6162	45	8	the	the	DET
cana-6162	45	9	joint	joint	ADJ
cana-6162	45	10	distribution	distribution	NOUN
cana-6162	45	11	of	of	ADP
cana-6162	45	12	text	text	NOUN
cana-6162	45	13	and	and	CCONJ
cana-6162	45	14	image	image	NOUN
cana-6162	45	15	tokens	token	NOUN
cana-6162	45	16	,	,	PUNCT
cana-6162	45	17	enabling	enable	VERB
cana-6162	45	18	it	it	PRON
cana-6162	45	19	to	to	PART
cana-6162	45	20	understand	understand	VERB
cana-6162	45	21	complex	complex	ADJ
cana-6162	45	22	relationships	relationship	NOUN
cana-6162	45	23	between	between	ADP
cana-6162	45	24	objects	object	NOUN
cana-6162	45	25	and	and	CCONJ
cana-6162	45	26	their	their	PRON
cana-6162	45	27	attributes	attribute	NOUN
cana-6162	45	28	as	as	SCONJ
cana-6162	45	29	described	describe	VERB
cana-6162	45	30	in	in	ADP
cana-6162	45	31	the	the	DET
cana-6162	45	32	input	input	NOUN
cana-6162	45	33	text	text	NOUN
cana-6162	45	34	.	.	PUNCT
cana-6162	46	1	●	●	PUNCT
cana-6162	46	2	imagen	imagen	NOUN
cana-6162	47	1	[	[	X
cana-6162	47	2	saharia	saharia	X
cana-6162	47	3	et	et	NOUN
cana-6162	47	4	al	al	PROPN
cana-6162	47	5	.	.	PROPN
cana-6162	47	6	,	,	PUNCT
cana-6162	47	7	2022	2022	NUM
cana-6162	47	8	]	]	PUNCT
cana-6162	47	9	:	:	PUNCT
cana-6162	47	10	➢	➢	AUX
cana-6162	47	11	google	google	PROPN
cana-6162	47	12	research	research	PROPN
cana-6162	47	13	's	's	PART
cana-6162	47	14	imagen	imagen	NOUN
cana-6162	47	15	achieved	achieve	VERB
cana-6162	47	16	state	state	NOUN
cana-6162	47	17	-	-	PUNCT
cana-6162	47	18	of	of	ADP
cana-6162	47	19	-	-	PUNCT
cana-6162	47	20	the	the	DET
cana-6162	47	21	-	-	PUNCT
cana-6162	47	22	art	art	NOUN
cana-6162	47	23	results	result	NOUN
cana-6162	47	24	in	in	ADP
cana-6162	47	25	text	text	NOUN
cana-6162	47	26	-	-	PUNCT
cana-6162	47	27	to	to	ADP
cana-6162	47	28	-	-	PUNCT
cana-6162	47	29	image	image	NOUN
cana-6162	47	30	synthesis	synthesis	NOUN
cana-6162	47	31	by	by	ADP
cana-6162	47	32	leveraging	leverage	VERB
cana-6162	47	33	a	a	DET
cana-6162	47	34	large	large	ADJ
cana-6162	47	35	pre	pre	ADJ
cana-6162	47	36	-	-	ADJ
cana-6162	47	37	trained	train	VERB
cana-6162	47	38	language	language	NOUN
cana-6162	47	39	model	model	NOUN
cana-6162	47	40	to	to	PART
cana-6162	47	41	encode	encode	VERB
cana-6162	47	42	the	the	DET
cana-6162	47	43	input	input	NOUN
cana-6162	47	44	text	text	NOUN
cana-6162	47	45	and	and	CCONJ
cana-6162	47	46	a	a	DET
cana-6162	47	47	diffusion	diffusion	NOUN
cana-6162	47	48	model	model	NOUN
cana-6162	47	49	operating	operate	VERB
cana-6162	47	50	on	on	ADP
cana-6162	47	51	a	a	DET
cana-6162	47	52	64x64	64x64	NUM
cana-6162	47	53	image	image	NOUN
cana-6162	47	54	space	space	NOUN
cana-6162	47	55	,	,	PUNCT
cana-6162	47	56	followed	follow	VERB
cana-6162	47	57	by	by	ADP
cana-6162	47	58	a	a	DET
cana-6162	47	59	series	series	NOUN
cana-6162	47	60	of	of	ADP
cana-6162	47	61	super	super	ADJ
cana-6162	47	62	-	-	ADJ
cana-6162	47	63	resolution	resolution	ADJ
cana-6162	47	64	diffusion	diffusion	NOUN
cana-6162	47	65	models	model	NOUN
cana-6162	47	66	to	to	PART
cana-6162	47	67	upscale	upscale	VERB
cana-6162	47	68	the	the	DET
cana-6162	47	69	image	image	NOUN
cana-6162	47	70	to	to	ADP
cana-6162	47	71	high	high	ADJ
cana-6162	47	72	resolutions	resolution	NOUN
cana-6162	47	73	.	.	PUNCT
cana-6162	48	1	➢	➢	VERB
cana-6162	48	2	imagen	imagen	PROPN
cana-6162	48	3	highlighted	highlight	VERB
cana-6162	48	4	the	the	DET
cana-6162	48	5	importance	importance	NOUN
cana-6162	48	6	of	of	ADP
cana-6162	48	7	strong	strong	ADJ
cana-6162	48	8	text	text	NOUN
cana-6162	48	9	understanding	understanding	NOUN
cana-6162	48	10	for	for	ADP
cana-6162	48	11	generating	generate	VERB
cana-6162	48	12	semantically	semantically	ADV
cana-6162	48	13	accurate	accurate	ADJ
cana-6162	48	14	images	image	NOUN
cana-6162	48	15	.	.	PUNCT
cana-6162	49	1	●	●	PUNCT
cana-6162	49	2	stable	stable	ADJ
cana-6162	49	3	diffusion	diffusion	NOUN
cana-6162	49	4	[	[	X
cana-6162	49	5	rombach	rombach	VERB
cana-6162	49	6	et	et	PROPN
cana-6162	49	7	al	al	PROPN
cana-6162	49	8	.	.	PROPN
cana-6162	49	9	,	,	PUNCT
cana-6162	49	10	2022	2022	NUM
cana-6162	49	11	]	]	PUNCT
cana-6162	49	12	:	:	PUNCT
cana-6162	49	13	➢	➢	VERB
cana-6162	49	14	this	this	DET
cana-6162	49	15	latent	latent	NOUN
cana-6162	49	16	diffusion	diffusion	NOUN
cana-6162	49	17	model	model	NOUN
cana-6162	49	18	has	have	AUX
cana-6162	49	19	gained	gain	VERB
cana-6162	49	20	significant	significant	ADJ
cana-6162	49	21	popularity	popularity	NOUN
cana-6162	49	22	due	due	ADP
cana-6162	49	23	to	to	ADP
cana-6162	49	24	its	its	PRON
cana-6162	49	25	efficiency	efficiency	NOUN
cana-6162	49	26	and	and	CCONJ
cana-6162	49	27	ability	ability	NOUN
cana-6162	49	28	to	to	PART
cana-6162	49	29	generate	generate	VERB
cana-6162	49	30	high	high	ADJ
cana-6162	49	31	-	-	PUNCT
cana-6162	49	32	quality	quality	NOUN
cana-6162	49	33	images	image	NOUN
cana-6162	49	34	at	at	ADP
cana-6162	49	35	a	a	DET
cana-6162	49	36	relatively	relatively	ADV
cana-6162	49	37	low	low	ADJ
cana-6162	49	38	computational	computational	ADJ
cana-6162	49	39	cost	cost	NOUN
cana-6162	49	40	.	.	PUNCT
cana-6162	50	1	➢	➢	VERB
cana-6162	50	2	stable	stable	ADJ
cana-6162	50	3	diffusion	diffusion	NOUN
cana-6162	50	4	employs	employ	VERB
cana-6162	50	5	a	a	DET
cana-6162	50	6	variational	variational	ADJ
cana-6162	50	7	autoencoder	autoencoder	NOUN
cana-6162	50	8	(	(	PUNCT
cana-6162	50	9	vae	vae	PROPN
cana-6162	50	10	)	)	PUNCT
cana-6162	50	11	to	to	PART
cana-6162	50	12	map	map	VERB
cana-6162	50	13	highdimensional	highdimensional	ADJ
cana-6162	50	14	image	image	NOUN
cana-6162	50	15	data	datum	NOUN
cana-6162	50	16	to	to	ADP
cana-6162	50	17	a	a	DET
cana-6162	50	18	lower	lower	ADV
cana-6162	50	19	-	-	PUNCT
cana-6162	50	20	dimensional	dimensional	ADJ
cana-6162	50	21	latent	latent	NOUN
cana-6162	50	22	space	space	NOUN
cana-6162	50	23	,	,	PUNCT
cana-6162	50	24	where	where	SCONJ
cana-6162	50	25	the	the	DET
cana-6162	50	26	diffusion	diffusion	NOUN
cana-6162	50	27	process	process	NOUN
cana-6162	50	28	takes	take	VERB
cana-6162	50	29	place	place	NOUN
cana-6162	50	30	.	.	PUNCT
cana-6162	51	1	communications	communication	NOUN
cana-6162	51	2	on	on	ADP
cana-6162	51	3	applied	apply	VERB
cana-6162	51	4	nonlinear	nonlinear	ADJ
cana-6162	51	5	analysis	analysis	NOUN
cana-6162	51	6	issn	issn	NOUN
cana-6162	51	7	:	:	PUNCT
cana-6162	51	8	1074	1074	NUM
cana-6162	51	9	-	-	PUNCT
cana-6162	51	10	133x	133x	NUM
cana-6162	51	11	vol	vol	VERB
cana-6162	51	12	32	32	NUM
cana-6162	51	13	no	no	NOUN
cana-6162	51	14	.	.	PUNCT
cana-6162	52	1	10s	10	NOUN
cana-6162	52	2	(	(	PUNCT
cana-6162	52	3	2025	2025	NUM
cana-6162	52	4	)	)	PUNCT
cana-6162	52	5	3506	3506	NUM
cana-6162	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	52	7	➢	➢	VERB
cana-6162	52	8	this	this	DET
cana-6162	52	9	approach	approach	NOUN
cana-6162	52	10	reduces	reduce	VERB
cana-6162	52	11	the	the	DET
cana-6162	52	12	computational	computational	ADJ
cana-6162	52	13	demands	demand	NOUN
cana-6162	52	14	significantly	significantly	ADV
cana-6162	52	15	.	.	PUNCT
cana-6162	53	1	➢	➢	VERB
cana-6162	54	1	furthermore	furthermore	ADV
cana-6162	54	2	,	,	PUNCT
cana-6162	54	3	it	it	PRON
cana-6162	54	4	utilizes	utilize	VERB
cana-6162	54	5	clip	clip	NOUN
cana-6162	54	6	(	(	PUNCT
cana-6162	54	7	contrastive	contrastive	ADJ
cana-6162	54	8	language	language	NOUN
cana-6162	54	9	-	-	PUNCT
cana-6162	54	10	image	image	NOUN
cana-6162	54	11	pre	pre	ADJ
cana-6162	54	12	-	-	NOUN
cana-6162	54	13	training	training	ADJ
cana-6162	54	14	)	)	PUNCT
cana-6162	54	15	embeddings	embedding	NOUN
cana-6162	54	16	to	to	PART
cana-6162	54	17	effectively	effectively	ADV
cana-6162	54	18	capture	capture	VERB
cana-6162	54	19	the	the	DET
cana-6162	54	20	semantic	semantic	ADJ
cana-6162	54	21	information	information	NOUN
cana-6162	54	22	from	from	ADP
cana-6162	54	23	the	the	DET
cana-6162	54	24	input	input	NOUN
cana-6162	54	25	text	text	NOUN
cana-6162	54	26	and	and	CCONJ
cana-6162	54	27	guide	guide	VERB
cana-6162	54	28	the	the	DET
cana-6162	54	29	image	image	NOUN
cana-6162	54	30	generation	generation	NOUN
cana-6162	54	31	process	process	NOUN
cana-6162	54	32	.	.	PUNCT
cana-6162	55	1	➢	➢	VERB
cana-6162	55	2	the	the	DET
cana-6162	55	3	use	use	NOUN
cana-6162	55	4	of	of	ADP
cana-6162	55	5	clip	clip	NOUN
cana-6162	55	6	enables	enable	VERB
cana-6162	55	7	a	a	DET
cana-6162	55	8	strong	strong	ADJ
cana-6162	55	9	alignment	alignment	NOUN
cana-6162	55	10	between	between	ADP
cana-6162	55	11	the	the	DET
cana-6162	55	12	textual	textual	ADJ
cana-6162	55	13	description	description	NOUN
cana-6162	55	14	and	and	CCONJ
cana-6162	55	15	the	the	DET
cana-6162	55	16	generated	generate	VERB
cana-6162	55	17	visual	visual	ADJ
cana-6162	55	18	content	content	NOUN
cana-6162	55	19	.	.	PUNCT
cana-6162	56	1	stable	stable	ADJ
cana-6162	56	2	diffusion	diffusion	NOUN
cana-6162	56	3	's	's	PART
cana-6162	56	4	architecture	architecture	NOUN
cana-6162	56	5	,	,	PUNCT
cana-6162	56	6	based	base	VERB
cana-6162	56	7	on	on	ADP
cana-6162	56	8	a	a	DET
cana-6162	56	9	latent	latent	NOUN
cana-6162	56	10	diffusion	diffusion	NOUN
cana-6162	56	11	process	process	NOUN
cana-6162	56	12	conditioned	condition	VERB
cana-6162	56	13	on	on	ADP
cana-6162	56	14	clipbased	clipbase	VERB
cana-6162	56	15	text	text	NOUN
cana-6162	56	16	embeddings	embedding	NOUN
cana-6162	56	17	,	,	PUNCT
cana-6162	56	18	represents	represent	VERB
cana-6162	56	19	a	a	DET
cana-6162	56	20	significant	significant	ADJ
cana-6162	56	21	step	step	NOUN
cana-6162	56	22	forward	forward	ADV
cana-6162	56	23	in	in	ADP
cana-6162	56	24	achieving	achieve	VERB
cana-6162	56	25	a	a	DET
cana-6162	56	26	balance	balance	NOUN
cana-6162	56	27	between	between	ADP
cana-6162	56	28	image	image	NOUN
cana-6162	56	29	quality	quality	NOUN
cana-6162	56	30	,	,	PUNCT
cana-6162	56	31	generation	generation	NOUN
cana-6162	56	32	speed	speed	NOUN
cana-6162	56	33	,	,	PUNCT
cana-6162	56	34	and	and	CCONJ
cana-6162	56	35	accessibility	accessibility	NOUN
cana-6162	56	36	,	,	PUNCT
cana-6162	56	37	making	make	VERB
cana-6162	56	38	it	it	PRON
cana-6162	56	39	a	a	DET
cana-6162	56	40	widely	widely	ADV
cana-6162	56	41	adopted	adopt	VERB
cana-6162	56	42	model	model	NOUN
cana-6162	56	43	for	for	ADP
cana-6162	56	44	various	various	ADJ
cana-6162	56	45	text	text	NOUN
cana-6162	56	46	-	-	PUNCT
cana-6162	56	47	to	to	ADP
cana-6162	56	48	-	-	PUNCT
cana-6162	56	49	image	image	NOUN
cana-6162	56	50	synthesis	synthesis	NOUN
cana-6162	56	51	applications.2.2	applications.2.2	NOUN
cana-6162	56	52	image	image	NOUN
cana-6162	56	53	super	super	ADJ
cana-6162	56	54	-	-	ADJ
cana-6162	56	55	resolution	resolution	ADJ
cana-6162	56	56	image	image	NOUN
cana-6162	56	57	super	super	NOUN
cana-6162	56	58	-	-	NOUN
cana-6162	56	59	resolution	resolution	NOUN
cana-6162	56	60	(	(	PUNCT
cana-6162	56	61	sr	sr	PROPN
cana-6162	56	62	)	)	PUNCT
cana-6162	56	63	is	be	AUX
cana-6162	56	64	the	the	DET
cana-6162	56	65	task	task	NOUN
cana-6162	56	66	of	of	ADP
cana-6162	56	67	upscaling	upscale	VERB
cana-6162	56	68	low	low	ADJ
cana-6162	56	69	-	-	PUNCT
cana-6162	56	70	resolution	resolution	NOUN
cana-6162	56	71	images	image	NOUN
cana-6162	56	72	to	to	ADP
cana-6162	56	73	higher	high	ADJ
cana-6162	56	74	resolutions	resolution	NOUN
cana-6162	56	75	while	while	SCONJ
cana-6162	56	76	recovering	recover	VERB
cana-6162	56	77	lost	lose	VERB
cana-6162	56	78	details	detail	NOUN
cana-6162	56	79	and	and	CCONJ
cana-6162	56	80	enhancing	enhance	VERB
cana-6162	56	81	visual	visual	ADJ
cana-6162	56	82	quality	quality	NOUN
cana-6162	56	83	.	.	PUNCT
cana-6162	57	1	this	this	DET
cana-6162	57	2	region	region	NOUN
cana-6162	57	3	has	have	AUX
cana-6162	57	4	also	also	ADV
cana-6162	57	5	seen	see	VERB
cana-6162	57	6	significant	significant	ADJ
cana-6162	57	7	advances	advance	NOUN
cana-6162	57	8	,	,	PUNCT
cana-6162	57	9	and	and	CCONJ
cana-6162	57	10	recent	recent	ADJ
cana-6162	57	11	advances	advance	NOUN
cana-6162	57	12	have	have	AUX
cana-6162	57	13	been	be	AUX
cana-6162	57	14	driven	drive	VERB
cana-6162	57	15	by	by	ADP
cana-6162	57	16	the	the	DET
cana-6162	57	17	use	use	NOUN
cana-6162	57	18	of	of	ADP
cana-6162	57	19	deep	deep	ADJ
cana-6162	57	20	learning	learning	NOUN
cana-6162	57	21	methods	method	NOUN
cana-6162	57	22	.	.	PUNCT
cana-6162	58	1	two	two	NUM
cana-6162	58	2	of	of	ADP
cana-6162	58	3	the	the	DET
cana-6162	58	4	most	most	ADV
cana-6162	58	5	widely	widely	ADV
cana-6162	58	6	used	use	VERB
cana-6162	58	7	and	and	CCONJ
cana-6162	58	8	successful	successful	ADJ
cana-6162	58	9	models	model	NOUN
cana-6162	58	10	in	in	ADP
cana-6162	58	11	the	the	DET
cana-6162	58	12	area	area	NOUN
cana-6162	58	13	of	of	ADP
cana-6162	58	14	single	single	ADJ
cana-6162	58	15	-	-	PUNCT
cana-6162	58	16	image	image	NOUN
cana-6162	58	17	super	super	NOUN
cana-6162	58	18	-	-	NOUN
cana-6162	58	19	resolution	resolution	ADJ
cana-6162	58	20	(	(	PUNCT
cana-6162	58	21	sisr	sisr	NOUN
cana-6162	58	22	)	)	PUNCT
cana-6162	58	23	are	be	AUX
cana-6162	58	24	real	real	ADJ
cana-6162	58	25	-	-	PUNCT
cana-6162	58	26	esrgan	esrgan	NOUN
cana-6162	59	1	[	[	X
cana-6162	59	2	wang	wang	PROPN
cana-6162	59	3	et	et	PROPN
cana-6162	59	4	al	al	PROPN
cana-6162	59	5	,	,	PUNCT
cana-6162	59	6	2021	2021	NUM
cana-6162	59	7	]	]	PUNCT
cana-6162	59	8	real	real	ADJ
cana-6162	59	9	-	-	PUNCT
cana-6162	59	10	esrgan	esrgan	NOUN
cana-6162	59	11	(	(	PUNCT
cana-6162	59	12	enhanced	enhance	VERB
cana-6162	59	13	super	super	ADJ
cana-6162	59	14	-	-	ADJ
cana-6162	59	15	resolution	resolution	ADJ
cana-6162	59	16	generative	generative	ADJ
cana-6162	59	17	adversarial	adversarial	ADJ
cana-6162	59	18	network	network	NOUN
cana-6162	59	19	)	)	PUNCT
cana-6162	59	20	is	be	AUX
cana-6162	59	21	a	a	DET
cana-6162	59	22	ganbased	ganbase	VERB
cana-6162	59	23	model	model	NOUN
cana-6162	59	24	that	that	PRON
cana-6162	59	25	has	have	AUX
cana-6162	59	26	been	be	AUX
cana-6162	59	27	specifically	specifically	ADV
cana-6162	59	28	developed	develop	VERB
cana-6162	59	29	to	to	PART
cana-6162	59	30	solve	solve	VERB
cana-6162	59	31	the	the	DET
cana-6162	59	32	problems	problem	NOUN
cana-6162	59	33	of	of	ADP
cana-6162	59	34	real	real	ADJ
cana-6162	59	35	-	-	PUNCT
cana-6162	59	36	world	world	NOUN
cana-6162	59	37	image	image	NOUN
cana-6162	59	38	degradation	degradation	NOUN
cana-6162	59	39	.	.	PUNCT
cana-6162	60	1	as	as	SCONJ
cana-6162	60	2	compared	compare	VERB
cana-6162	60	3	to	to	ADP
cana-6162	60	4	previous	previous	ADJ
cana-6162	60	5	srgan	srgan	NOUN
cana-6162	60	6	models	model	NOUN
cana-6162	60	7	that	that	PRON
cana-6162	60	8	tended	tend	VERB
cana-6162	60	9	to	to	PART
cana-6162	60	10	produce	produce	VERB
cana-6162	60	11	realistic	realistic	ADJ
cana-6162	60	12	but	but	CCONJ
cana-6162	60	13	occasionally	occasionally	ADV
cana-6162	60	14	unrealistic	unrealistic	ADJ
cana-6162	60	15	textures	texture	NOUN
cana-6162	60	16	,	,	PUNCT
cana-6162	60	17	c.	c.	PROPN
cana-6162	60	18	real	real	ADJ
cana-6162	60	19	-	-	PUNCT
cana-6162	60	20	esrgan	esrgan	NOUN
cana-6162	60	21	features	feature	VERB
cana-6162	60	22	several	several	ADJ
cana-6162	60	23	important	important	ADJ
cana-6162	60	24	improvements	improvement	NOUN
cana-6162	60	25	.	.	PUNCT
cana-6162	61	1	it	it	PRON
cana-6162	61	2	utilizes	utilize	VERB
cana-6162	61	3	a	a	DET
cana-6162	61	4	perceptual	perceptual	ADJ
cana-6162	61	5	loss	loss	NOUN
cana-6162	61	6	function	function	NOUN
cana-6162	61	7	that	that	PRON
cana-6162	61	8	nudges	nudge	VERB
cana-6162	61	9	the	the	DET
cana-6162	61	10	high	high	ADJ
cana-6162	61	11	-	-	PUNCT
cana-6162	61	12	resolution	resolution	NOUN
cana-6162	61	13	images	image	NOUN
cana-6162	61	14	generated	generate	VERB
cana-6162	61	15	to	to	PART
cana-6162	61	16	be	be	AUX
cana-6162	61	17	perceptually	perceptually	ADV
cana-6162	61	18	close	close	ADJ
cana-6162	61	19	to	to	ADP
cana-6162	61	20	the	the	DET
cana-6162	61	21	ground	ground	NOUN
cana-6162	61	22	truth	truth	NOUN
cana-6162	61	23	and	and	CCONJ
cana-6162	61	24	concentrate	concentrate	VERB
cana-6162	61	25	on	on	ADP
cana-6162	61	26	realistic	realistic	ADJ
cana-6162	61	27	texture	texture	ADJ
cana-6162	61	28	generation	generation	NOUN
cana-6162	61	29	and	and	CCONJ
cana-6162	61	30	finer	fine	ADJ
cana-6162	61	31	details	detail	NOUN
cana-6162	61	32	.	.	PUNCT
cana-6162	62	1	in	in	ADP
cana-6162	62	2	addition	addition	NOUN
cana-6162	62	3	to	to	ADP
cana-6162	62	4	this	this	PRON
cana-6162	62	5	,	,	PUNCT
cana-6162	62	6	real	real	ADJ
cana-6162	62	7	-	-	PUNCT
cana-6162	62	8	esrgan	esrgan	NOUN
cana-6162	62	9	also	also	ADV
cana-6162	62	10	employs	employ	VERB
cana-6162	62	11	an	an	DET
cana-6162	62	12	advanced	advanced	ADJ
cana-6162	62	13	network	network	NOUN
cana-6162	62	14	structure	structure	NOUN
cana-6162	62	15	as	as	ADV
cana-6162	62	16	well	well	ADV
cana-6162	62	17	as	as	ADP
cana-6162	62	18	a	a	DET
cana-6162	62	19	realistic	realistic	ADJ
cana-6162	62	20	degradation	degradation	NOUN
cana-6162	62	21	modeling	modeling	NOUN
cana-6162	62	22	process	process	NOUN
cana-6162	62	23	to	to	PART
cana-6162	62	24	deal	deal	VERB
cana-6162	62	25	with	with	ADP
cana-6162	62	26	a	a	DET
cana-6162	62	27	variety	variety	NOUN
cana-6162	62	28	of	of	ADP
cana-6162	62	29	real	real	ADJ
cana-6162	62	30	-	-	PUNCT
cana-6162	62	31	world	world	NOUN
cana-6162	62	32	degradations	degradation	NOUN
cana-6162	62	33	that	that	PRON
cana-6162	62	34	are	be	AUX
cana-6162	62	35	most	most	ADV
cana-6162	62	36	often	often	ADV
cana-6162	62	37	found	find	VERB
cana-6162	62	38	within	within	ADP
cana-6162	62	39	captured	capture	VERB
cana-6162	62	40	images	image	NOUN
cana-6162	62	41	.	.	PUNCT
cana-6162	63	1	this	this	PRON
cana-6162	63	2	makes	make	VERB
cana-6162	63	3	it	it	PRON
cana-6162	63	4	highly	highly	ADV
cana-6162	63	5	suitable	suitable	ADJ
cana-6162	63	6	to	to	PART
cana-6162	63	7	use	use	VERB
cana-6162	63	8	in	in	ADP
cana-6162	63	9	improving	improve	VERB
cana-6162	63	10	the	the	DET
cana-6162	63	11	visual	visual	ADJ
cana-6162	63	12	quality	quality	NOUN
cana-6162	63	13	of	of	ADP
cana-6162	63	14	low	low	ADJ
cana-6162	63	15	-	-	PUNCT
cana-6162	63	16	resolution	resolution	NOUN
cana-6162	63	17	real	real	ADJ
cana-6162	63	18	-	-	PUNCT
cana-6162	63	19	world	world	NOUN
cana-6162	63	20	images	image	NOUN
cana-6162	63	21	.	.	PUNCT
cana-6162	64	1	edsr	edsr	PROPN
cana-6162	65	1	[	[	X
cana-6162	65	2	lim	lim	PROPN
cana-6162	65	3	et	et	PROPN
cana-6162	65	4	al	al	PROPN
cana-6162	65	5	,	,	PUNCT
cana-6162	65	6	2017	2017	NUM
cana-6162	65	7	]	]	PUNCT
cana-6162	65	8	edsr	edsr	NOUN
cana-6162	65	9	(	(	PUNCT
cana-6162	65	10	deep	deep	ADJ
cana-6162	65	11	residual	residual	ADJ
cana-6162	65	12	network	network	NOUN
cana-6162	65	13	enhanced	enhance	VERB
cana-6162	65	14	for	for	ADP
cana-6162	65	15	single	single	ADJ
cana-6162	65	16	image	image	NOUN
cana-6162	65	17	superresolution	superresolution	NOUN
cana-6162	65	18	)	)	PUNCT
cana-6162	65	19	is	be	AUX
cana-6162	65	20	a	a	DET
cana-6162	65	21	deep	deep	ADJ
cana-6162	65	22	convolutional	convolutional	ADJ
cana-6162	65	23	neural	neural	ADJ
cana-6162	65	24	network	network	NOUN
cana-6162	65	25	(	(	PUNCT
cana-6162	65	26	cnn	cnn	PROPN
cana-6162	65	27	)	)	PUNCT
cana-6162	65	28	model	model	NOUN
cana-6162	65	29	that	that	PRON
cana-6162	65	30	has	have	AUX
cana-6162	65	31	shown	show	VERB
cana-6162	65	32	outstanding	outstanding	ADJ
cana-6162	65	33	performance	performance	NOUN
cana-6162	65	34	in	in	ADP
cana-6162	65	35	pixel	pixel	PROPN
cana-6162	65	36	fidelity	fidelity	PROPN
cana-6162	65	37	.	.	PUNCT
cana-6162	66	1	it	it	PRON
cana-6162	66	2	utilizes	utilize	VERB
cana-6162	66	3	a	a	DET
cana-6162	66	4	high	high	ADJ
cana-6162	66	5	number	number	NOUN
cana-6162	66	6	of	of	ADP
cana-6162	66	7	residual	residual	ADJ
cana-6162	66	8	blocks	block	NOUN
cana-6162	66	9	,	,	PUNCT
cana-6162	66	10	eliminating	eliminate	VERB
cana-6162	66	11	redundant	redundant	ADJ
cana-6162	66	12	modules	module	NOUN
cana-6162	66	13	such	such	ADJ
cana-6162	66	14	as	as	ADP
cana-6162	66	15	batch	batch	NOUN
cana-6162	66	16	normalization	normalization	NOUN
cana-6162	66	17	layers	layer	NOUN
cana-6162	66	18	,	,	PUNCT
cana-6162	66	19	in	in	ADP
cana-6162	66	20	order	order	NOUN
cana-6162	66	21	to	to	PART
cana-6162	66	22	train	train	VERB
cana-6162	66	23	deeper	deep	ADJ
cana-6162	66	24	and	and	CCONJ
cana-6162	66	25	stronger	strong	ADJ
cana-6162	66	26	networks	network	NOUN
cana-6162	66	27	.	.	PUNCT
cana-6162	67	1	edsr	edsr	NOUN
cana-6162	67	2	is	be	AUX
cana-6162	67	3	trained	train	VERB
cana-6162	67	4	with	with	ADP
cana-6162	67	5	an	an	DET
cana-6162	67	6	l1	l1	PROPN
cana-6162	67	7	loss	loss	NOUN
cana-6162	67	8	(	(	PUNCT
cana-6162	67	9	mean	mean	ADJ
cana-6162	67	10	absolute	absolute	ADJ
cana-6162	67	11	error	error	NOUN
cana-6162	67	12	)	)	PUNCT
cana-6162	67	13	,	,	PUNCT
cana-6162	67	14	which	which	PRON
cana-6162	67	15	aims	aim	VERB
cana-6162	67	16	at	at	ADP
cana-6162	67	17	minimizing	minimize	VERB
cana-6162	67	18	the	the	DET
cana-6162	67	19	pixel	pixel	ADJ
cana-6162	67	20	-	-	ADJ
cana-6162	67	21	wise	wise	ADJ
cana-6162	67	22	error	error	NOUN
cana-6162	67	23	between	between	ADP
cana-6162	67	24	the	the	DET
cana-6162	67	25	created	create	VERB
cana-6162	67	26	high	high	ADJ
cana-6162	67	27	-	-	PUNCT
cana-6162	67	28	resolution	resolution	NOUN
cana-6162	67	29	image	image	NOUN
cana-6162	67	30	and	and	CCONJ
cana-6162	67	31	the	the	DET
cana-6162	67	32	ground	ground	NOUN
cana-6162	67	33	truth	truth	NOUN
cana-6162	67	34	.	.	PUNCT
cana-6162	68	1	such	such	DET
cana-6162	68	2	a	a	DET
cana-6162	68	3	loss	loss	NOUN
cana-6162	68	4	function	function	NOUN
cana-6162	68	5	has	have	VERB
cana-6162	68	6	a	a	DET
cana-6162	68	7	tendency	tendency	NOUN
cana-6162	68	8	to	to	PART
cana-6162	68	9	generate	generate	VERB
cana-6162	68	10	output	output	NOUN
cana-6162	68	11	less	less	ADV
cana-6162	68	12	likely	likely	ADJ
cana-6162	68	13	to	to	PART
cana-6162	68	14	contain	contain	VERB
cana-6162	68	15	artifacts	artifact	NOUN
cana-6162	68	16	and	and	CCONJ
cana-6162	68	17	with	with	ADP
cana-6162	68	18	greater	great	ADJ
cana-6162	68	19	psnr	psnr	NOUN
cana-6162	68	20	and	and	CCONJ
cana-6162	68	21	ssim	ssim	NOUN
cana-6162	68	22	scores	score	NOUN
cana-6162	68	23	,	,	PUNCT
cana-6162	68	24	meaning	mean	VERB
cana-6162	68	25	better	well	ADJ
cana-6162	68	26	pixel	pixel	ADJ
cana-6162	68	27	-	-	PUNCT
cana-6162	68	28	level	level	NOUN
cana-6162	68	29	accuracy	accuracy	NOUN
cana-6162	68	30	and	and	CCONJ
cana-6162	68	31	structural	structural	ADJ
cana-6162	68	32	similarity	similarity	NOUN
cana-6162	68	33	to	to	ADP
cana-6162	68	34	the	the	DET
cana-6162	68	35	original	original	ADJ
cana-6162	68	36	high	high	ADJ
cana-6162	68	37	-	-	PUNCT
cana-6162	68	38	resolution	resolution	NOUN
cana-6162	68	39	image	image	NOUN
cana-6162	68	40	.	.	PUNCT
cana-6162	69	1	real	real	ADJ
cana-6162	69	2	-	-	PUNCT
cana-6162	69	3	esrgan	esrgan	NOUN
cana-6162	69	4	and	and	CCONJ
cana-6162	69	5	edsr	edsr	NOUN
cana-6162	69	6	are	be	AUX
cana-6162	69	7	both	both	DET
cana-6162	69	8	state	state	NOUN
cana-6162	69	9	-	-	PUNCT
cana-6162	69	10	of	of	ADP
cana-6162	69	11	-	-	PUNCT
cana-6162	69	12	the	the	DET
cana-6162	69	13	-	-	PUNCT
cana-6162	69	14	art	art	NOUN
cana-6162	69	15	image	image	NOUN
cana-6162	69	16	super	super	ADJ
cana-6162	69	17	-	-	ADJ
cana-6162	69	18	resolution	resolution	ADJ
cana-6162	69	19	methods	method	NOUN
cana-6162	69	20	,	,	PUNCT
cana-6162	69	21	but	but	CCONJ
cana-6162	69	22	they	they	PRON
cana-6162	69	23	serve	serve	VERB
cana-6162	69	24	slightly	slightly	ADV
cana-6162	69	25	different	different	ADJ
cana-6162	69	26	purposes	purpose	NOUN
cana-6162	69	27	.	.	PUNCT
cana-6162	70	1	real	real	ADJ
cana-6162	70	2	-	-	PUNCT
cana-6162	70	3	esrgan	esrgan	NOUN
cana-6162	70	4	is	be	AUX
cana-6162	70	5	particularly	particularly	ADV
cana-6162	70	6	good	good	ADJ
cana-6162	70	7	at	at	ADP
cana-6162	70	8	perceptual	perceptual	ADJ
cana-6162	70	9	improvement	improvement	NOUN
cana-6162	70	10	,	,	PUNCT
cana-6162	70	11	creating	create	VERB
cana-6162	70	12	visually	visually	ADV
cana-6162	70	13	pleasing	pleasing	ADJ
cana-6162	70	14	high	high	ADJ
cana-6162	70	15	-	-	PUNCT
cana-6162	70	16	resolution	resolution	NOUN
cana-6162	70	17	communications	communication	NOUN
cana-6162	70	18	on	on	ADP
cana-6162	70	19	applied	apply	VERB
cana-6162	70	20	nonlinear	nonlinear	ADJ
cana-6162	70	21	analysis	analysis	NOUN
cana-6162	70	22	issn	issn	NOUN
cana-6162	70	23	:	:	PUNCT
cana-6162	70	24	1074	1074	NUM
cana-6162	70	25	-	-	PUNCT
cana-6162	70	26	133x	133x	NUM
cana-6162	70	27	vol	vol	VERB
cana-6162	70	28	32	32	NUM
cana-6162	70	29	no	no	NOUN
cana-6162	70	30	.	.	PUNCT
cana-6162	71	1	10s	10	NOUN
cana-6162	71	2	(	(	PUNCT
cana-6162	71	3	2025	2025	NUM
cana-6162	71	4	)	)	PUNCT
cana-6162	71	5	3507	3507	NUM
cana-6162	72	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	72	2	images	image	NOUN
cana-6162	72	3	with	with	ADP
cana-6162	72	4	realistic	realistic	ADJ
cana-6162	72	5	textures	texture	NOUN
cana-6162	72	6	even	even	ADV
cana-6162	72	7	if	if	SCONJ
cana-6162	72	8	it	it	PRON
cana-6162	72	9	sometimes	sometimes	ADV
cana-6162	72	10	slightly	slightly	ADV
cana-6162	72	11	differs	differ	VERB
cana-6162	72	12	from	from	ADP
cana-6162	72	13	the	the	DET
cana-6162	72	14	actual	actual	ADJ
cana-6162	72	15	pixel	pixel	ADJ
cana-6162	72	16	values	value	NOUN
cana-6162	72	17	of	of	ADP
cana-6162	72	18	the	the	DET
cana-6162	72	19	ground	ground	NOUN
cana-6162	72	20	truth	truth	NOUN
cana-6162	72	21	.	.	PUNCT
cana-6162	73	1	in	in	ADP
cana-6162	73	2	contrast	contrast	NOUN
cana-6162	73	3	,	,	PUNCT
cana-6162	73	4	edsr	edsr	NOUN
cana-6162	73	5	focuses	focus	VERB
cana-6162	73	6	on	on	ADP
cana-6162	73	7	pixel	pixel	PROPN
cana-6162	73	8	fidelity	fidelity	PROPN
cana-6162	73	9	,	,	PUNCT
cana-6162	73	10	and	and	CCONJ
cana-6162	73	11	it	it	PRON
cana-6162	73	12	tries	try	VERB
cana-6162	73	13	to	to	PART
cana-6162	73	14	reconstruct	reconstruct	VERB
cana-6162	73	15	the	the	DET
cana-6162	73	16	high	high	ADJ
cana-6162	73	17	-	-	PUNCT
cana-6162	73	18	resolution	resolution	NOUN
cana-6162	73	19	image	image	NOUN
cana-6162	73	20	with	with	ADP
cana-6162	73	21	high	high	ADJ
cana-6162	73	22	accuracy	accuracy	NOUN
cana-6162	73	23	both	both	PRON
cana-6162	73	24	in	in	ADP
cana-6162	73	25	individual	individual	ADJ
cana-6162	73	26	pixel	pixel	NOUN
cana-6162	73	27	values	value	NOUN
cana-6162	73	28	and	and	CCONJ
cana-6162	73	29	in	in	ADP
cana-6162	73	30	structure	structure	NOUN
cana-6162	73	31	consistency	consistency	NOUN
cana-6162	73	32	,	,	PUNCT
cana-6162	73	33	which	which	PRON
cana-6162	73	34	tends	tend	VERB
cana-6162	73	35	to	to	PART
cana-6162	73	36	cause	cause	VERB
cana-6162	73	37	smoother	smooth	ADJ
cana-6162	73	38	textures	texture	NOUN
cana-6162	73	39	.	.	PUNCT
cana-6162	74	1	the	the	DET
cana-6162	74	2	selection	selection	NOUN
cana-6162	74	3	among	among	ADP
cana-6162	74	4	these	these	DET
cana-6162	74	5	models	model	NOUN
cana-6162	74	6	(	(	PUNCT
cana-6162	74	7	or	or	CCONJ
cana-6162	74	8	other	other	ADJ
cana-6162	74	9	models	model	NOUN
cana-6162	74	10	)	)	PUNCT
cana-6162	74	11	usually	usually	ADV
cana-6162	74	12	relies	rely	VERB
cana-6162	74	13	on	on	ADP
cana-6162	74	14	the	the	DET
cana-6162	74	15	particular	particular	ADJ
cana-6162	74	16	application	application	NOUN
cana-6162	74	17	and	and	CCONJ
cana-6162	74	18	the	the	DET
cana-6162	74	19	balance	balance	NOUN
cana-6162	74	20	desired	desire	VERB
cana-6162	74	21	between	between	ADP
cana-6162	74	22	perceptual	perceptual	ADJ
cana-6162	74	23	quality	quality	NOUN
cana-6162	74	24	and	and	CCONJ
cana-6162	74	25	pixel	pixel	PROPN
cana-6162	74	26	accuracy	accuracy	NOUN
cana-6162	74	27	.	.	PUNCT
cana-6162	75	1	iii	iii	X
cana-6162	75	2	.	.	PUNCT
cana-6162	75	3	algorithm	algorithm	NOUN
cana-6162	75	4	description	description	NOUN
cana-6162	75	5	generate	generate	NOUN
cana-6162	75	6	-	-	PUNCT
cana-6162	75	7	and	and	CCONJ
cana-6162	75	8	-	-	PUNCT
cana-6162	75	9	upscale	upscale	NOUN
cana-6162	75	10	-	-	PUNCT
cana-6162	75	11	image(prompt	image(prompt	PROPN
cana-6162	75	12	,	,	PUNCT
cana-6162	75	13	use_real_esrgan	use_real_esrgan	ADJ
cana-6162	75	14	):	):	PUNCT
cana-6162	75	15	if	if	SCONJ
cana-6162	75	16	cuda	cuda	NOUN
cana-6162	75	17	-	-	PUNCT
cana-6162	75	18	available	available	ADJ
cana-6162	75	19	(	(	PUNCT
cana-6162	75	20	):	):	PUNCT
cana-6162	75	21	device	device	NOUN
cana-6162	75	22	←	←	NOUN
cana-6162	75	23	"	"	PUNCT
cana-6162	75	24	cuda	cuda	NOUN
cana-6162	75	25	"	"	PUNCT
cana-6162	75	26	dtype	dtype	NOUN
cana-6162	75	27	←	←	PROPN
cana-6162	75	28	float16	float16	PROPN
cana-6162	75	29	else	else	ADV
cana-6162	75	30	:	:	PUNCT
cana-6162	75	31	device	device	NOUN
cana-6162	75	32	←	←	PROPN
cana-6162	75	33	"	"	PUNCT
cana-6162	75	34	cpu	cpu	ADJ
cana-6162	75	35	"	"	PUNCT
cana-6162	75	36	dtype	dtype	NOUN
cana-6162	75	37	←	←	PROPN
cana-6162	75	38	float32	float32	PROPN
cana-6162	75	39	pipe	pipe	PROPN
cana-6162	75	40	←	←	PROPN
cana-6162	75	41	load	load	NOUN
cana-6162	75	42	-	-	PUNCT
cana-6162	75	43	stable	stable	ADJ
cana-6162	75	44	-	-	PUNCT
cana-6162	75	45	diffusion("runwayml	diffusion("runwayml	ADJ
cana-6162	75	46	/	/	SYM
cana-6162	75	47	stable	stable	ADJ
cana-6162	75	48	-	-	PUNCT
cana-6162	75	49	diffusion	diffusion	NOUN
cana-6162	75	50	-	-	PUNCT
cana-6162	75	51	v1	v1	NOUN
cana-6162	75	52	-	-	PUNCT
cana-6162	75	53	5	5	NUM
cana-6162	75	54	"	"	PUNCT
cana-6162	75	55	,	,	PUNCT
cana-6162	75	56	dtype	dtype	NOUN
cana-6162	75	57	)	)	PUNCT
cana-6162	75	58	pipe	pipe	NOUN
cana-6162	75	59	←	←	PROPN
cana-6162	75	60	move	move	VERB
cana-6162	75	61	-	-	PUNCT
cana-6162	75	62	to	to	ADP
cana-6162	75	63	-	-	PUNCT
cana-6162	75	64	device(pipe	device(pipe	NOUN
cana-6162	75	65	,	,	PUNCT
cana-6162	75	66	device	device	NOUN
cana-6162	75	67	)	)	PUNCT
cana-6162	75	68	image	image	NOUN
cana-6162	75	69	←	←	NOUN
cana-6162	75	70	generate	generate	NOUN
cana-6162	75	71	-	-	PUNCT
cana-6162	75	72	image(pipe	image(pipe	NOUN
cana-6162	75	73	,	,	PUNCT
cana-6162	75	74	prompt	prompt	NOUN
cana-6162	75	75	,	,	PUNCT
cana-6162	75	76	30	30	NUM
cana-6162	75	77	)	)	PUNCT
cana-6162	75	78	save	save	NOUN
cana-6162	75	79	-	-	PUNCT
cana-6162	75	80	image(image	image(image	NOUN
cana-6162	75	81	,	,	PUNCT
cana-6162	75	82	"	"	PUNCT
cana-6162	75	83	generated_image.png	generated_image.png	NOUN
cana-6162	75	84	"	"	PUNCT
cana-6162	75	85	)	)	PUNCT
cana-6162	75	86	if	if	SCONJ
cana-6162	75	87	use_real_esrgan	use_real_esrgan	ADJ
cana-6162	75	88	:	:	PUNCT
cana-6162	75	89	model	model	PROPN
cana-6162	75	90	←	←	PROPN
cana-6162	75	91	init	init	VERB
cana-6162	75	92	-	-	PROPN
cana-6162	75	93	real	real	ADJ
cana-6162	75	94	-	-	PUNCT
cana-6162	75	95	esrgan(device	esrgan(device	NOUN
cana-6162	75	96	,	,	PUNCT
cana-6162	75	97	scale=4	scale=4	NUM
cana-6162	75	98	)	)	PUNCT
cana-6162	75	99	img	img	PROPN
cana-6162	75	100	←	←	PROPN
cana-6162	75	101	load	load	NOUN
cana-6162	75	102	-	-	PUNCT
cana-6162	75	103	image("generated_image.png	image("generated_image.png	NOUN
cana-6162	75	104	"	"	PUNCT
cana-6162	75	105	)	)	PUNCT
cana-6162	75	106	upscaled	upscaled	ADJ
cana-6162	75	107	←	←	PROPN
cana-6162	75	108	real	real	ADJ
cana-6162	75	109	-	-	PUNCT
cana-6162	75	110	esrgan	esrgan	NOUN
cana-6162	75	111	-	-	PUNCT
cana-6162	75	112	predict(model	predict(model	NOUN
cana-6162	75	113	,	,	PUNCT
cana-6162	75	114	img	img	NOUN
cana-6162	75	115	)	)	PUNCT
cana-6162	75	116	save	save	NOUN
cana-6162	75	117	-	-	PUNCT
cana-6162	75	118	image(upscaled	image(upscale	VERB
cana-6162	75	119	,	,	PUNCT
cana-6162	75	120	"	"	PUNCT
cana-6162	75	121	upscaled_image.png	upscaled_image.png	NOUN
cana-6162	75	122	"	"	PUNCT
cana-6162	75	123	)	)	PUNCT
cana-6162	75	124	else	else	ADV
cana-6162	75	125	:	:	PUNCT
cana-6162	75	126	model	model	PROPN
cana-6162	75	127	←	←	PROPN
cana-6162	75	128	load	load	PROPN
cana-6162	75	129	-	-	PUNCT
cana-6162	75	130	edsr	edsr	NOUN
cana-6162	75	131	-	-	PUNCT
cana-6162	75	132	model	model	NOUN
cana-6162	75	133	(	(	PUNCT
cana-6162	75	134	)	)	PUNCT
cana-6162	75	135	set	set	NOUN
cana-6162	75	136	-	-	PUNCT
cana-6162	75	137	model	model	NOUN
cana-6162	75	138	-	-	PUNCT
cana-6162	75	139	eval(model	eval(model	PROPN
cana-6162	75	140	)	)	PUNCT
cana-6162	75	141	img	img	PROPN
cana-6162	75	142	←	←	PROPN
cana-6162	75	143	load	load	NOUN
cana-6162	75	144	-	-	PUNCT
cana-6162	75	145	image("generated_image.png	image("generated_image.png	NOUN
cana-6162	75	146	"	"	PUNCT
cana-6162	75	147	)	)	PUNCT
cana-6162	75	148	input_tensor	input_tensor	PROPN
cana-6162	75	149	←	←	PROPN
cana-6162	75	150	to	to	PART
cana-6162	75	151	-	-	PUNCT
cana-6162	75	152	tensor(img	tensor(img	NOUN
cana-6162	75	153	)	)	PUNCT
cana-6162	75	154	input_tensor	input_tensor	PROPN
cana-6162	75	155	←	←	PROPN
cana-6162	75	156	unsqueeze(input_tensor	unsqueeze(input_tensor	PROPN
cana-6162	75	157	)	)	PUNCT
cana-6162	75	158	output	output	NOUN
cana-6162	75	159	←	←	PROPN
cana-6162	75	160	model	model	PROPN
cana-6162	75	161	-	-	PUNCT
cana-6162	75	162	forward(model	forward(model	PROPN
cana-6162	75	163	,	,	PUNCT
cana-6162	75	164	input_tensor	input_tensor	NOUN
cana-6162	75	165	)	)	PUNCT
cana-6162	75	166	output_image	output_image	NOUN
cana-6162	75	167	←	←	PROPN
cana-6162	75	168	to	to	PART
cana-6162	75	169	-	-	PUNCT
cana-6162	75	170	pil(clamp(output	pil(clamp(output	NOUN
cana-6162	75	171	)	)	PUNCT
cana-6162	75	172	)	)	PUNCT
cana-6162	75	173	save	save	NOUN
cana-6162	75	174	-	-	PUNCT
cana-6162	75	175	image(output_image	image(output_image	NOUN
cana-6162	75	176	,	,	PUNCT
cana-6162	75	177	"	"	PUNCT
cana-6162	75	178	edsr_upscaled.png	edsr_upscaled.png	NOUN
cana-6162	75	179	"	"	PUNCT
cana-6162	75	180	)	)	PUNCT
cana-6162	75	181	iv	iv	NOUN
cana-6162	75	182	.	.	PUNCT
cana-6162	75	183	experiments	experiment	NOUN
cana-6162	75	184	and	and	CCONJ
cana-6162	75	185	results	result	VERB
cana-6162	75	186	a.	a.	NOUN
cana-6162	75	187	setup	setup	NOUN
cana-6162	75	188	all	all	DET
cana-6162	75	189	experiments	experiment	NOUN
cana-6162	75	190	were	be	AUX
cana-6162	75	191	conducted	conduct	VERB
cana-6162	75	192	in	in	ADP
cana-6162	75	193	a	a	DET
cana-6162	75	194	cloud	cloud	NOUN
cana-6162	75	195	-	-	PUNCT
cana-6162	75	196	based	base	VERB
cana-6162	75	197	environment	environment	NOUN
cana-6162	75	198	using	use	VERB
cana-6162	75	199	google	google	PROPN
cana-6162	75	200	colab	colab	PROPN
cana-6162	75	201	,	,	PUNCT
cana-6162	75	202	which	which	PRON
cana-6162	75	203	provided	provide	VERB
cana-6162	75	204	access	access	NOUN
cana-6162	75	205	to	to	ADP
cana-6162	75	206	an	an	DET
cana-6162	75	207	nvidia	nvidia	PROPN
cana-6162	75	208	tesla	tesla	PROPN
cana-6162	75	209	t4	t4	PROPN
cana-6162	75	210	gpu	gpu	PROPN
cana-6162	75	211	with	with	ADP
cana-6162	75	212	16	16	NUM
cana-6162	75	213	gb	gb	NOUN
cana-6162	75	214	vram	vram	NOUN
cana-6162	75	215	and	and	CCONJ
cana-6162	75	216	a	a	DET
cana-6162	75	217	virtual	virtual	ADJ
cana-6162	75	218	cpu	cpu	NOUN
cana-6162	75	219	.	.	PUNCT
cana-6162	76	1	this	this	DET
cana-6162	76	2	setup	setup	NOUN
cana-6162	76	3	ensured	ensure	VERB
cana-6162	76	4	sufficient	sufficient	ADJ
cana-6162	76	5	computational	computational	ADJ
cana-6162	76	6	power	power	NOUN
cana-6162	76	7	for	for	ADP
cana-6162	76	8	training	training	NOUN
cana-6162	76	9	and	and	CCONJ
cana-6162	76	10	evaluating	evaluate	VERB
cana-6162	76	11	the	the	DET
cana-6162	76	12	models	model	NOUN
cana-6162	76	13	communications	communication	NOUN
cana-6162	76	14	on	on	ADP
cana-6162	76	15	applied	apply	VERB
cana-6162	76	16	nonlinear	nonlinear	ADJ
cana-6162	76	17	analysis	analysis	NOUN
cana-6162	76	18	issn	issn	NOUN
cana-6162	76	19	:	:	PUNCT
cana-6162	76	20	1074	1074	NUM
cana-6162	76	21	-	-	PUNCT
cana-6162	76	22	133x	133x	NUM
cana-6162	76	23	vol	vol	VERB
cana-6162	76	24	32	32	NUM
cana-6162	76	25	no	no	NOUN
cana-6162	76	26	.	.	PUNCT
cana-6162	77	1	10s	10	NOUN
cana-6162	77	2	(	(	PUNCT
cana-6162	77	3	2025	2025	NUM
cana-6162	77	4	)	)	PUNCT
cana-6162	77	5	3508	3508	NUM
cana-6162	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	77	7	efficiently	efficiently	ADV
cana-6162	77	8	.	.	PUNCT
cana-6162	78	1	the	the	DET
cana-6162	78	2	implementation	implementation	NOUN
cana-6162	78	3	leverages	leverage	VERB
cana-6162	78	4	pytorch	pytorch	NOUN
cana-6162	78	5	as	as	ADP
cana-6162	78	6	the	the	DET
cana-6162	78	7	primary	primary	ADJ
cana-6162	78	8	deep	deep	ADJ
cana-6162	78	9	learning	learning	NOUN
cana-6162	78	10	framework	framework	NOUN
cana-6162	78	11	,	,	PUNCT
cana-6162	78	12	along	along	ADP
cana-6162	78	13	with	with	ADP
cana-6162	78	14	the	the	DET
cana-6162	78	15	hugging	hugging	ADJ
cana-6162	78	16	face	face	NOUN
cana-6162	78	17	diffusers	diffuser	VERB
cana-6162	78	18	library	library	NOUN
cana-6162	78	19	for	for	ADP
cana-6162	78	20	latent	latent	NOUN
cana-6162	78	21	diffusion	diffusion	NOUN
cana-6162	78	22	-	-	PUNCT
cana-6162	78	23	based	base	VERB
cana-6162	78	24	text	text	NOUN
cana-6162	78	25	-	-	PUNCT
cana-6162	78	26	to	to	ADP
cana-6162	78	27	-	-	PUNCT
cana-6162	78	28	image	image	NOUN
cana-6162	78	29	generation	generation	NOUN
cana-6162	78	30	.	.	PUNCT
cana-6162	79	1	for	for	ADP
cana-6162	79	2	super	super	NOUN
cana-6162	79	3	-	-	NOUN
cana-6162	79	4	resolution	resolution	NOUN
cana-6162	79	5	,	,	PUNCT
cana-6162	79	6	the	the	DET
cana-6162	79	7	real	real	ADJ
cana-6162	79	8	-	-	PUNCT
cana-6162	79	9	esrgan	esrgan	NOUN
cana-6162	79	10	library	library	NOUN
cana-6162	79	11	is	be	AUX
cana-6162	79	12	employed	employ	VERB
cana-6162	79	13	,	,	PUNCT
cana-6162	79	14	and	and	CCONJ
cana-6162	79	15	torchvision	torchvision	NOUN
cana-6162	79	16	utilities	utility	NOUN
cana-6162	79	17	are	be	AUX
cana-6162	79	18	used	use	VERB
cana-6162	79	19	for	for	ADP
cana-6162	79	20	preprocessing	preprocessing	NOUN
cana-6162	79	21	and	and	CCONJ
cana-6162	79	22	visualization	visualization	NOUN
cana-6162	79	23	.	.	PUNCT
cana-6162	80	1	b.	b.	PROPN
cana-6162	80	2	metrics	metric	NOUN
cana-6162	80	3	both	both	CCONJ
cana-6162	80	4	the	the	DET
cana-6162	80	5	peak	peak	NOUN
cana-6162	80	6	signal	signal	NOUN
cana-6162	80	7	-	-	PUNCT
cana-6162	80	8	to	to	ADP
cana-6162	80	9	-	-	PUNCT
cana-6162	80	10	noise	noise	NOUN
cana-6162	80	11	ratio	ratio	NOUN
cana-6162	80	12	(	(	PUNCT
cana-6162	80	13	psnr	psnr	NOUN
cana-6162	80	14	)	)	PUNCT
cana-6162	80	15	and	and	CCONJ
cana-6162	80	16	the	the	DET
cana-6162	80	17	structural	structural	ADJ
cana-6162	80	18	similarity	similarity	NOUN
cana-6162	80	19	index	index	NOUN
cana-6162	80	20	measure	measure	NOUN
cana-6162	80	21	(	(	PUNCT
cana-6162	80	22	ssim	ssim	NOUN
cana-6162	80	23	)	)	PUNCT
cana-6162	80	24	are	be	AUX
cana-6162	80	25	used	use	VERB
cana-6162	80	26	as	as	ADP
cana-6162	80	27	quantitative	quantitative	ADJ
cana-6162	80	28	metrics	metric	NOUN
cana-6162	80	29	to	to	PART
cana-6162	80	30	assess	assess	VERB
cana-6162	80	31	the	the	DET
cana-6162	80	32	visual	visual	ADJ
cana-6162	80	33	fidelity	fidelity	NOUN
cana-6162	80	34	of	of	ADP
cana-6162	80	35	the	the	DET
cana-6162	80	36	produced	produce	VERB
cana-6162	80	37	images	image	NOUN
cana-6162	80	38	.	.	PUNCT
cana-6162	81	1	the	the	DET
cana-6162	81	2	logarithmic	logarithmic	ADJ
cana-6162	81	3	ratio	ratio	NOUN
cana-6162	81	4	between	between	ADP
cana-6162	81	5	the	the	DET
cana-6162	81	6	maximum	maximum	ADJ
cana-6162	81	7	possible	possible	ADJ
cana-6162	81	8	signal	signal	NOUN
cana-6162	81	9	power	power	NOUN
cana-6162	81	10	and	and	CCONJ
cana-6162	81	11	the	the	DET
cana-6162	81	12	power	power	NOUN
cana-6162	81	13	of	of	ADP
cana-6162	81	14	corrupting	corrupt	VERB
cana-6162	81	15	noise	noise	NOUN
cana-6162	81	16	is	be	AUX
cana-6162	81	17	used	use	VERB
cana-6162	81	18	by	by	ADP
cana-6162	81	19	psnr	psnr	NOUN
cana-6162	81	20	to	to	PART
cana-6162	81	21	evaluate	evaluate	VERB
cana-6162	81	22	the	the	DET
cana-6162	81	23	quality	quality	NOUN
cana-6162	81	24	of	of	ADP
cana-6162	81	25	pixel	pixel	NOUN
cana-6162	81	26	-	-	PUNCT
cana-6162	81	27	by	by	ADP
cana-6162	81	28	-	-	PUNCT
cana-6162	81	29	pixel	pixel	NOUN
cana-6162	81	30	reconstruction	reconstruction	NOUN
cana-6162	81	31	.	.	PUNCT
cana-6162	82	1	in	in	ADP
cana-6162	82	2	contrast	contrast	NOUN
cana-6162	82	3	,	,	PUNCT
cana-6162	82	4	ssim	ssim	NOUN
cana-6162	82	5	assesses	assess	VERB
cana-6162	82	6	the	the	DET
cana-6162	82	7	structural	structural	ADJ
cana-6162	82	8	information	information	NOUN
cana-6162	82	9	,	,	PUNCT
cana-6162	82	10	contrast	contrast	NOUN
cana-6162	82	11	,	,	PUNCT
cana-6162	82	12	and	and	CCONJ
cana-6162	82	13	luminance	luminance	NOUN
cana-6162	82	14	of	of	ADP
cana-6162	82	15	the	the	DET
cana-6162	82	16	generated	generate	VERB
cana-6162	82	17	and	and	CCONJ
cana-6162	82	18	reference	reference	NOUN
cana-6162	82	19	images	image	NOUN
cana-6162	82	20	to	to	PART
cana-6162	82	21	detect	detect	VERB
cana-6162	82	22	perceptual	perceptual	ADJ
cana-6162	82	23	similarity	similarity	NOUN
cana-6162	82	24	.	.	PUNCT
cana-6162	83	1	a	a	DET
cana-6162	83	2	user	user	NOUN
cana-6162	83	3	preference	preference	NOUN
cana-6162	83	4	score	score	NOUN
cana-6162	83	5	,	,	PUNCT
cana-6162	83	6	ranging	range	VERB
cana-6162	83	7	from	from	ADP
cana-6162	83	8	1	1	NUM
cana-6162	83	9	to	to	ADP
cana-6162	83	10	10	10	NUM
cana-6162	83	11	,	,	PUNCT
cana-6162	83	12	is	be	AUX
cana-6162	83	13	also	also	ADV
cana-6162	83	14	documented	document	VERB
cana-6162	83	15	in	in	ADP
cana-6162	83	16	addition	addition	NOUN
cana-6162	83	17	to	to	ADP
cana-6162	83	18	objective	objective	ADJ
cana-6162	83	19	measurements	measurement	NOUN
cana-6162	83	20	.	.	PUNCT
cana-6162	84	1	human	human	ADJ
cana-6162	84	2	evaluators	evaluator	NOUN
cana-6162	84	3	'	'	PART
cana-6162	84	4	ratings	rating	NOUN
cana-6162	84	5	of	of	ADP
cana-6162	84	6	the	the	DET
cana-6162	84	7	generated	generate	VERB
cana-6162	84	8	images	image	NOUN
cana-6162	84	9	'	'	PART
cana-6162	84	10	aesthetic	aesthetic	ADJ
cana-6162	84	11	appeal	appeal	NOUN
cana-6162	84	12	and	and	CCONJ
cana-6162	84	13	perceptual	perceptual	ADJ
cana-6162	84	14	quality	quality	NOUN
cana-6162	84	15	are	be	AUX
cana-6162	84	16	reflected	reflect	VERB
cana-6162	84	17	in	in	ADP
cana-6162	84	18	this	this	DET
cana-6162	84	19	subjective	subjective	ADJ
cana-6162	84	20	metric	metric	NOUN
cana-6162	84	21	,	,	PUNCT
cana-6162	84	22	which	which	PRON
cana-6162	84	23	offers	offer	VERB
cana-6162	84	24	insight	insight	NOUN
cana-6162	84	25	into	into	ADP
cana-6162	84	26	visual	visual	ADJ
cana-6162	84	27	satisfaction	satisfaction	NOUN
cana-6162	84	28	and	and	CCONJ
cana-6162	84	29	practical	practical	ADJ
cana-6162	84	30	usability	usability	NOUN
cana-6162	84	31	.	.	PUNCT
cana-6162	85	1	c.	c.	NOUN
cana-6162	85	2	interpretation	interpretation	NOUN
cana-6162	85	3	and	and	CCONJ
cana-6162	85	4	use	use	VERB
cana-6162	85	5	case	case	NOUN
cana-6162	85	6	suitability	suitability	NOUN
cana-6162	85	7	•	•	ADP
cana-6162	85	8	the	the	DET
cana-6162	85	9	comparative	comparative	ADJ
cana-6162	85	10	analysis	analysis	NOUN
cana-6162	85	11	highlights	highlight	NOUN
cana-6162	85	12	that	that	SCONJ
cana-6162	85	13	real	real	ADJ
cana-6162	85	14	-	-	PUNCT
cana-6162	85	15	esrgan	esrgan	NOUN
cana-6162	85	16	excels	excel	NOUN
cana-6162	85	17	in	in	ADP
cana-6162	85	18	delivering	deliver	VERB
cana-6162	85	19	superior	superior	ADJ
cana-6162	85	20	perceptual	perceptual	ADJ
cana-6162	85	21	quality	quality	NOUN
cana-6162	85	22	,	,	PUNCT
cana-6162	85	23	making	make	VERB
cana-6162	85	24	it	it	PRON
cana-6162	85	25	particularly	particularly	ADV
cana-6162	85	26	well	well	ADV
cana-6162	85	27	-	-	PUNCT
cana-6162	85	28	suited	suit	VERB
cana-6162	85	29	for	for	ADP
cana-6162	85	30	applications	application	NOUN
cana-6162	85	31	involving	involve	VERB
cana-6162	85	32	artistic	artistic	ADJ
cana-6162	85	33	images	image	NOUN
cana-6162	85	34	,	,	PUNCT
cana-6162	85	35	photographs	photograph	NOUN
cana-6162	85	36	,	,	PUNCT
cana-6162	85	37	and	and	CCONJ
cana-6162	85	38	natural	natural	ADJ
cana-6162	85	39	scenes	scene	NOUN
cana-6162	85	40	where	where	SCONJ
cana-6162	85	41	visual	visual	ADJ
cana-6162	85	42	appeal	appeal	NOUN
cana-6162	85	43	and	and	CCONJ
cana-6162	85	44	realism	realism	NOUN
cana-6162	85	45	are	be	AUX
cana-6162	85	46	paramount	paramount	ADJ
cana-6162	85	47	.	.	PUNCT
cana-6162	86	1	•	•	ADP
cana-6162	86	2	in	in	ADP
cana-6162	86	3	contrast	contrast	NOUN
cana-6162	86	4	,	,	PUNCT
cana-6162	86	5	edsr	edsr	NOUN
cana-6162	86	6	demonstrates	demonstrate	VERB
cana-6162	86	7	stronger	strong	ADJ
cana-6162	86	8	numerical	numerical	ADJ
cana-6162	86	9	accuracy	accuracy	NOUN
cana-6162	86	10	,	,	PUNCT
cana-6162	86	11	as	as	SCONJ
cana-6162	86	12	evidenced	evidence	VERB
cana-6162	86	13	by	by	ADP
cana-6162	86	14	its	its	PRON
cana-6162	86	15	higher	high	ADJ
cana-6162	86	16	psnr	psnr	NOUN
cana-6162	86	17	,	,	PUNCT
cana-6162	86	18	making	make	VERB
cana-6162	86	19	it	it	PRON
cana-6162	86	20	a	a	DET
cana-6162	86	21	better	well	ADJ
cana-6162	86	22	choice	choice	NOUN
cana-6162	86	23	for	for	ADP
cana-6162	86	24	domains	domain	NOUN
cana-6162	86	25	such	such	ADJ
cana-6162	86	26	as	as	ADP
cana-6162	86	27	technical	technical	ADJ
cana-6162	86	28	illustrations	illustration	NOUN
cana-6162	86	29	,	,	PUNCT
cana-6162	86	30	diagrams	diagram	NOUN
cana-6162	86	31	,	,	PUNCT
cana-6162	86	32	or	or	CCONJ
cana-6162	86	33	medical	medical	ADJ
cana-6162	86	34	imaging	imaging	NOUN
cana-6162	86	35	,	,	PUNCT
cana-6162	86	36	where	where	SCONJ
cana-6162	86	37	precise	precise	ADJ
cana-6162	86	38	structural	structural	ADJ
cana-6162	86	39	fidelity	fidelity	NOUN
cana-6162	86	40	is	be	AUX
cana-6162	86	41	critical	critical	ADJ
cana-6162	86	42	.	.	PUNCT
cana-6162	87	1	•	•	NUM
cana-6162	87	2	when	when	SCONJ
cana-6162	87	3	combined	combine	VERB
cana-6162	87	4	in	in	ADP
cana-6162	87	5	a	a	DET
cana-6162	87	6	pipeline	pipeline	NOUN
cana-6162	87	7	with	with	ADP
cana-6162	87	8	stable	stable	ADJ
cana-6162	87	9	diffusion	diffusion	NOUN
cana-6162	87	10	for	for	ADP
cana-6162	87	11	text	text	NOUN
cana-6162	87	12	-	-	PUNCT
cana-6162	87	13	to	to	ADP
cana-6162	87	14	-	-	PUNCT
cana-6162	87	15	image	image	NOUN
cana-6162	87	16	generation	generation	NOUN
cana-6162	87	17	followed	follow	VERB
cana-6162	87	18	by	by	ADP
cana-6162	87	19	real	real	ADJ
cana-6162	87	20	-	-	PUNCT
cana-6162	87	21	esrgan	esrgan	NOUN
cana-6162	87	22	for	for	ADP
cana-6162	87	23	super	super	NOUN
cana-6162	87	24	-	-	NOUN
cana-6162	87	25	resolution	resolution	NOUN
cana-6162	87	26	,	,	PUNCT
cana-6162	87	27	the	the	DET
cana-6162	87	28	system	system	NOUN
cana-6162	87	29	achieves	achieve	VERB
cana-6162	87	30	the	the	DET
cana-6162	87	31	highest	high	ADJ
cana-6162	87	32	human	human	ADJ
cana-6162	87	33	preference	preference	NOUN
cana-6162	87	34	scores	score	NOUN
cana-6162	87	35	,	,	PUNCT
cana-6162	87	36	indicating	indicate	VERB
cana-6162	87	37	that	that	SCONJ
cana-6162	87	38	this	this	DET
cana-6162	87	39	configuration	configuration	NOUN
cana-6162	87	40	best	well	ADV
cana-6162	87	41	aligns	align	VERB
cana-6162	87	42	with	with	ADP
cana-6162	87	43	subjective	subjective	ADJ
cana-6162	87	44	perceptions	perception	NOUN
cana-6162	87	45	of	of	ADP
cana-6162	87	46	visual	visual	ADJ
cana-6162	87	47	quality	quality	NOUN
cana-6162	87	48	.	.	PUNCT
cana-6162	88	1	•	•	NOUN
cana-6162	88	2	this	this	DET
cana-6162	88	3	synergy	synergy	NOUN
cana-6162	88	4	leverages	leverage	VERB
cana-6162	88	5	the	the	DET
cana-6162	88	6	strengths	strength	NOUN
cana-6162	88	7	of	of	ADP
cana-6162	88	8	both	both	CCONJ
cana-6162	88	9	generative	generative	ADJ
cana-6162	88	10	creativity	creativity	NOUN
cana-6162	88	11	and	and	CCONJ
cana-6162	88	12	perceptual	perceptual	ADJ
cana-6162	88	13	enhancement	enhancement	NOUN
cana-6162	88	14	,	,	PUNCT
cana-6162	88	15	resulting	result	VERB
cana-6162	88	16	in	in	ADP
cana-6162	88	17	outputs	output	NOUN
cana-6162	88	18	that	that	PRON
cana-6162	88	19	are	be	AUX
cana-6162	88	20	both	both	PRON
cana-6162	88	21	semantically	semantically	ADV
cana-6162	88	22	rich	rich	ADJ
cana-6162	88	23	and	and	CCONJ
cana-6162	88	24	aesthetically	aesthetically	ADV
cana-6162	88	25	pleasing	pleasing	ADJ
cana-6162	88	26	.	.	PUNCT
cana-6162	89	1	v.	v.	ADP
cana-6162	89	2	mathematical	mathematical	ADJ
cana-6162	89	3	equation	equation	NOUN
cana-6162	89	4	communications	communication	NOUN
cana-6162	89	5	on	on	ADP
cana-6162	89	6	applied	apply	VERB
cana-6162	89	7	nonlinear	nonlinear	ADJ
cana-6162	89	8	analysis	analysis	NOUN
cana-6162	89	9	issn	issn	NOUN
cana-6162	89	10	:	:	PUNCT
cana-6162	89	11	1074	1074	NUM
cana-6162	89	12	-	-	PUNCT
cana-6162	89	13	133x	133x	NUM
cana-6162	89	14	vol	vol	VERB
cana-6162	89	15	32	32	NUM
cana-6162	89	16	no	no	NOUN
cana-6162	89	17	.	.	PUNCT
cana-6162	89	18	10s	10	NOUN
cana-6162	89	19	(	(	PUNCT
cana-6162	89	20	2025	2025	NUM
cana-6162	89	21	)	)	PUNCT
cana-6162	89	22	3509	3509	NUM
cana-6162	89	23	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-6162	89	24	time	time	NOUN
cana-6162	89	25	step	step	NOUN
cana-6162	89	26	beta	beta	ADJ
cana-6162	89	27	1−beta	1−beta	NUM
cana-6162	89	28	square	square	ADJ
cana-6162	89	29	beta	beta	NOUN
cana-6162	89	30	forward	forward	NOUN
cana-6162	89	31	diffusion	diffusion	NOUN
cana-6162	89	32	step	step	NOUN
cana-6162	89	33	1	1	NUM
cana-6162	90	1	0.01	0.01	NUM
cana-6162	90	2	0.9949	0.9949	NUM
cana-6162	90	3	0.1	0.1	NUM
cana-6162	90	4	1.0449	1.0449	NUM
cana-6162	90	5	2	2	NUM
cana-6162	90	6	0.05	0.05	NUM
cana-6162	90	7	0.9747	0.9747	NUM
cana-6162	90	8	0.2236	0.2236	NUM
cana-6162	90	9	1.0865	1.0865	NUM
cana-6162	90	10	3	3	NUM
cana-6162	90	11	0.10	0.10	NUM
cana-6162	90	12	0.9487	0.9487	NUM
cana-6162	90	13	0.3162	0.3162	NUM
cana-6162	90	14	1.1068	1.1068	NUM
cana-6162	90	15	4	4	NUM
cana-6162	90	16	0.20	0.20	NUM
cana-6162	90	17	0.8944	0.8944	NUM
cana-6162	90	18	0.4472	0.4472	NUM
cana-6162	90	19	1.1180	1.1180	NUM
cana-6162	90	20	5	5	NUM
cana-6162	90	21	0.30	0.30	NUM
cana-6162	90	22	0.8366	0.8366	NUM
cana-6162	90	23	0.5477	0.5477	NUM
cana-6162	90	24	1.1105	1.1105	NUM
cana-6162	90	25	communications	communication	NOUN
cana-6162	90	26	on	on	ADP
cana-6162	90	27	applied	apply	VERB
cana-6162	90	28	nonlinear	nonlinear	ADJ
cana-6162	90	29	analysis	analysis	NOUN
cana-6162	90	30	issn	issn	NOUN
cana-6162	90	31	:	:	PUNCT
cana-6162	90	32	1074	1074	NUM
cana-6162	90	33	-	-	PUNCT
cana-6162	90	34	133x	133x	NUM
cana-6162	90	35	vol	vol	VERB
cana-6162	90	36	32	32	NUM
cana-6162	90	37	no	no	NOUN
cana-6162	90	38	.	.	PUNCT
cana-6162	91	1	10s	10	NOUN
cana-6162	91	2	(	(	PUNCT
cana-6162	91	3	2025	2025	NUM
cana-6162	91	4	)	)	PUNCT
cana-6162	91	5	3510	3510	NUM
cana-6162	91	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	91	7	vi	vi	PROPN
cana-6162	91	8	.	.	PROPN
cana-6162	91	9	results	result	VERB
cana-6162	91	10	text	text	NOUN
cana-6162	91	11	=	=	PUNCT
cana-6162	91	12	pink	pink	ADJ
cana-6162	91	13	lotus	lotus	NOUN
cana-6162	91	14	in	in	ADP
cana-6162	91	15	garden	garden	PROPN
cana-6162	91	16	.	.	PUNCT
cana-6162	92	1	fig	fig	NOUN
cana-6162	92	2	1	1	NUM
cana-6162	92	3	generated	generate	VERB
cana-6162	92	4	image	image	NOUN
cana-6162	92	5	:	:	PUNCT
cana-6162	92	6	fig	fig	NOUN
cana-6162	92	7	2	2	NUM
cana-6162	92	8	upscale_realesrgan	upscale_realesrgan	PROPN
cana-6162	92	9	:	:	PUNCT
cana-6162	92	10	fig	fig	NOUN
cana-6162	92	11	3	3	NUM
cana-6162	92	12	upscaled_4k	upscaled_4k	NOUN
cana-6162	92	13	:	:	PUNCT
cana-6162	92	14	communications	communication	NOUN
cana-6162	92	15	on	on	ADP
cana-6162	92	16	applied	apply	VERB
cana-6162	92	17	nonlinear	nonlinear	ADJ
cana-6162	92	18	analysis	analysis	NOUN
cana-6162	92	19	issn	issn	NOUN
cana-6162	92	20	:	:	PUNCT
cana-6162	92	21	1074	1074	NUM
cana-6162	92	22	-	-	PUNCT
cana-6162	92	23	133x	133x	NUM
cana-6162	92	24	vol	vol	VERB
cana-6162	92	25	32	32	NUM
cana-6162	92	26	no	no	NOUN
cana-6162	92	27	.	.	PUNCT
cana-6162	93	1	10s	10	NOUN
cana-6162	93	2	(	(	PUNCT
cana-6162	93	3	2025	2025	NUM
cana-6162	93	4	)	)	PUNCT
cana-6162	93	5	3511	3511	NUM
cana-6162	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	93	7	fig	fig	NOUN
cana-6162	93	8	4	4	NUM
cana-6162	93	9	upscaled_8k	upscaled_8k	NOUN
cana-6162	93	10	:	:	PUNCT
cana-6162	93	11	vii	vii	PROPN
cana-6162	93	12	.	.	PROPN
cana-6162	93	13	conclusion	conclusion	NOUN
cana-6162	93	14	we	we	PRON
cana-6162	93	15	presented	present	VERB
cana-6162	93	16	a	a	DET
cana-6162	93	17	novel	novel	ADJ
cana-6162	93	18	and	and	CCONJ
cana-6162	93	19	unified	unified	ADJ
cana-6162	93	20	framework	framework	NOUN
cana-6162	93	21	that	that	PRON
cana-6162	93	22	combines	combine	VERB
cana-6162	93	23	state	state	NOUN
cana-6162	93	24	-	-	PUNCT
cana-6162	93	25	of	of	ADP
cana-6162	93	26	-	-	PUNCT
cana-6162	93	27	the	the	DET
cana-6162	93	28	-	-	PUNCT
cana-6162	93	29	art	art	NOUN
cana-6162	93	30	text	text	NOUN
cana-6162	93	31	-	-	PUNCT
cana-6162	93	32	to	to	ADP
cana-6162	93	33	-	-	PUNCT
cana-6162	93	34	image	image	NOUN
cana-6162	93	35	synthesis	synthesis	NOUN
cana-6162	93	36	and	and	CCONJ
cana-6162	93	37	super	super	NOUN
cana-6162	93	38	-	-	NOUN
cana-6162	93	39	resolution	resolution	NOUN
cana-6162	93	40	.	.	PUNCT
cana-6162	94	1	our	our	PRON
cana-6162	94	2	pipeline	pipeline	NOUN
cana-6162	94	3	is	be	AUX
cana-6162	94	4	flexible	flexible	ADJ
cana-6162	94	5	,	,	PUNCT
cana-6162	94	6	hardware	hardware	NOUN
cana-6162	94	7	-	-	PUNCT
cana-6162	94	8	aware	aware	ADJ
cana-6162	94	9	,	,	PUNCT
cana-6162	94	10	and	and	CCONJ
cana-6162	94	11	modular	modular	ADJ
cana-6162	94	12	.	.	PUNCT
cana-6162	95	1	future	future	ADJ
cana-6162	95	2	work	work	NOUN
cana-6162	95	3	includes	include	VERB
cana-6162	95	4	incorporating	incorporate	VERB
cana-6162	95	5	lightweight	lightweight	ADJ
cana-6162	95	6	upscale	upscale	NOUN
cana-6162	95	7	like	like	ADP
cana-6162	95	8	swinir	swinir	NOUN
cana-6162	95	9	,	,	PUNCT
cana-6162	95	10	support	support	NOUN
cana-6162	95	11	for	for	ADP
cana-6162	95	12	variable	variable	ADJ
cana-6162	95	13	resolution	resolution	NOUN
cana-6162	95	14	output	output	NOUN
cana-6162	95	15	,	,	PUNCT
cana-6162	95	16	and	and	CCONJ
cana-6162	95	17	edge	edge	NOUN
cana-6162	95	18	-	-	PUNCT
cana-6162	95	19	device	device	NOUN
cana-6162	95	20	deployment	deployment	NOUN
cana-6162	95	21	.	.	PUNCT
cana-6162	96	1	the	the	DET
cana-6162	96	2	proposed	propose	VERB
cana-6162	96	3	system	system	NOUN
cana-6162	96	4	,	,	PUNCT
cana-6162	96	5	based	base	VERB
cana-6162	96	6	on	on	ADP
cana-6162	96	7	stable	stable	ADJ
cana-6162	96	8	diffusion	diffusion	NOUN
cana-6162	96	9	,	,	PUNCT
cana-6162	96	10	has	have	VERB
cana-6162	96	11	several	several	ADJ
cana-6162	96	12	limitations	limitation	NOUN
cana-6162	96	13	affecting	affect	VERB
cana-6162	96	14	its	its	PRON
cana-6162	96	15	performance	performance	NOUN
cana-6162	96	16	and	and	CCONJ
cana-6162	96	17	usability	usability	NOUN
cana-6162	96	18	.	.	PUNCT
cana-6162	97	1	it	it	PRON
cana-6162	97	2	requires	require	VERB
cana-6162	97	3	powerful	powerful	ADJ
cana-6162	97	4	gpus	gpu	NOUN
cana-6162	97	5	,	,	PUNCT
cana-6162	97	6	making	make	VERB
cana-6162	97	7	it	it	PRON
cana-6162	97	8	hardware	hardware	NOUN
cana-6162	97	9	-	-	PUNCT
cana-6162	97	10	dependent	dependent	ADJ
cana-6162	97	11	,	,	PUNCT
cana-6162	97	12	and	and	CCONJ
cana-6162	97	13	its	its	PRON
cana-6162	97	14	output	output	NOUN
cana-6162	97	15	quality	quality	NOUN
cana-6162	97	16	is	be	AUX
cana-6162	97	17	highly	highly	ADV
cana-6162	97	18	sensitive	sensitive	ADJ
cana-6162	97	19	to	to	PART
cana-6162	97	20	prompt	prompt	VERB
cana-6162	97	21	phrasing	phrasing	NOUN
cana-6162	97	22	.	.	PUNCT
cana-6162	98	1	the	the	DET
cana-6162	98	2	system	system	NOUN
cana-6162	98	3	lacks	lack	VERB
cana-6162	98	4	fine	fine	ADJ
cana-6162	98	5	control	control	NOUN
cana-6162	98	6	over	over	ADP
cana-6162	98	7	specific	specific	ADJ
cana-6162	98	8	image	image	NOUN
cana-6162	98	9	attributes	attribute	VERB
cana-6162	98	10	like	like	ADP
cana-6162	98	11	colors	color	NOUN
cana-6162	98	12	,	,	PUNCT
cana-6162	98	13	object	object	VERB
cana-6162	98	14	positions	position	NOUN
cana-6162	98	15	,	,	PUNCT
cana-6162	98	16	and	and	CCONJ
cana-6162	98	17	backgrounds	background	NOUN
cana-6162	98	18	,	,	PUNCT
cana-6162	98	19	and	and	CCONJ
cana-6162	98	20	it	it	PRON
cana-6162	98	21	does	do	AUX
cana-6162	98	22	not	not	PART
cana-6162	98	23	support	support	VERB
cana-6162	98	24	real	real	ADJ
cana-6162	98	25	-	-	PUNCT
cana-6162	98	26	time	time	NOUN
cana-6162	98	27	generation	generation	NOUN
cana-6162	98	28	,	,	PUNCT
cana-6162	98	29	especially	especially	ADV
cana-6162	98	30	without	without	ADP
cana-6162	98	31	cuda	cuda	NOUN
cana-6162	98	32	.	.	PUNCT
cana-6162	99	1	additionally	additionally	ADV
cana-6162	99	2	,	,	PUNCT
cana-6162	99	3	there	there	PRON
cana-6162	99	4	are	be	VERB
cana-6162	99	5	no	no	DET
cana-6162	99	6	integrated	integrate	VERB
cana-6162	99	7	post	post	ADJ
cana-6162	99	8	-	-	ADJ
cana-6162	99	9	editing	editing	ADJ
cana-6162	99	10	tools	tool	NOUN
cana-6162	99	11	such	such	ADJ
cana-6162	99	12	as	as	ADP
cana-6162	99	13	upscaling	upscale	VERB
cana-6162	99	14	or	or	CCONJ
cana-6162	99	15	inpainting	inpainting	ADJ
cana-6162	99	16	,	,	PUNCT
cana-6162	99	17	and	and	CCONJ
cana-6162	99	18	it	it	PRON
cana-6162	99	19	has	have	AUX
cana-6162	99	20	limited	limit	VERB
cana-6162	99	21	content	content	NOUN
cana-6162	99	22	filtering	filtering	NOUN
cana-6162	99	23	,	,	PUNCT
cana-6162	99	24	posing	pose	VERB
cana-6162	99	25	risks	risk	NOUN
cana-6162	99	26	of	of	ADP
cana-6162	99	27	generating	generate	VERB
cana-6162	99	28	inappropriate	inappropriate	ADJ
cana-6162	99	29	outputs	output	NOUN
cana-6162	99	30	.	.	PUNCT
cana-6162	100	1	the	the	DET
cana-6162	100	2	system	system	NOUN
cana-6162	100	3	also	also	ADV
cana-6162	100	4	supports	support	VERB
cana-6162	100	5	only	only	ADV
cana-6162	100	6	english	english	ADJ
cana-6162	100	7	prompts	prompt	NOUN
cana-6162	100	8	and	and	CCONJ
cana-6162	100	9	does	do	AUX
cana-6162	100	10	not	not	PART
cana-6162	100	11	offer	offer	VERB
cana-6162	100	12	image	image	NOUN
cana-6162	100	13	-	-	PUNCT
cana-6162	100	14	to	to	ADP
cana-6162	100	15	-	-	PUNCT
cana-6162	100	16	image	image	NOUN
cana-6162	100	17	or	or	CCONJ
cana-6162	100	18	style	style	NOUN
cana-6162	100	19	transfer	transfer	NOUN
cana-6162	100	20	capabilities	capability	NOUN
cana-6162	100	21	.	.	PUNCT
cana-6162	101	1	references	reference	NOUN
cana-6162	101	2	[	[	X
cana-6162	101	3	1	1	NUM
cana-6162	101	4	]	]	X
cana-6162	101	5	sun	sun	NOUN
cana-6162	101	6	,	,	PUNCT
cana-6162	101	7	h.	h.	PROPN
cana-6162	101	8	(	(	PUNCT
cana-6162	101	9	2023	2023	NUM
cana-6162	101	10	)	)	PUNCT
cana-6162	101	11	.	.	PUNCT
cana-6162	102	1	fine	fine	ADV
cana-6162	102	2	-	-	PUNCT
cana-6162	102	3	grained	grain	VERB
cana-6162	102	4	cross	cross	ADJ
cana-6162	102	5	-	-	ADJ
cana-6162	102	6	model	model	ADJ
cana-6162	102	7	fusion	fusion	NOUN
cana-6162	102	8	based	base	VERB
cana-6162	102	9	refinement	refinement	NOUN
cana-6162	102	10	for	for	ADP
cana-6162	102	11	text	text	NOUN
cana-6162	102	12	to	to	ADP
cana-6162	102	13	image	image	NOUN
cana-6162	102	14	synthesis	synthesis	NOUN
cana-6162	102	15	.	.	PUNCT
cana-6162	103	1	published	publish	VERB
cana-6162	103	2	on	on	ADP
cana-6162	103	3	november	november	PROPN
cana-6162	103	4	6	6	NUM
cana-6162	103	5	,	,	PUNCT
cana-6162	103	6	2023	2023	NUM
cana-6162	103	7	.	.	PUNCT
cana-6162	104	1	[	[	X
cana-6162	104	2	2	2	NUM
cana-6162	104	3	]	]	PUNCT
cana-6162	104	4	shin	shin	NOUN
cana-6162	104	5	,	,	PUNCT
cana-6162	104	6	j.	j.	PROPN
cana-6162	104	7	(	(	PUNCT
cana-6162	104	8	2024	2024	NUM
cana-6162	104	9	)	)	PUNCT
cana-6162	104	10	.	.	PUNCT
cana-6162	105	1	ga	ga	PROPN
cana-6162	105	2	cnet	cnet	PROPN
cana-6162	105	3	-	-	PUNCT
cana-6162	105	4	text	text	NOUN
cana-6162	105	5	-	-	PUNCT
cana-6162	105	6	to	to	ADP
cana-6162	105	7	-	-	PUNCT
cana-6162	105	8	image	image	NOUN
cana-6162	105	9	synthesis	synthesis	NOUN
cana-6162	105	10	with	with	ADP
cana-6162	105	11	attention	attention	NOUN
cana-6162	105	12	mechanisms	mechanism	NOUN
cana-6162	105	13	and	and	CCONJ
cana-6162	105	14	contrastive	contrastive	ADJ
cana-6162	105	15	learning	learning	NOUN
cana-6162	105	16	.	.	PUNCT
cana-6162	106	1	published	publish	VERB
cana-6162	106	2	on	on	ADP
cana-6162	106	3	january	january	PROPN
cana-6162	106	4	22	22	NUM
cana-6162	106	5	,	,	PUNCT
cana-6162	106	6	2024	2024	NUM
cana-6162	106	7	.	.	PUNCT
cana-6162	107	1	[	[	X
cana-6162	107	2	3	3	NUM
cana-6162	107	3	]	]	X
cana-6162	107	4	habib	habib	NOUN
cana-6162	107	5	,	,	PUNCT
cana-6162	107	6	m.	m.	NOUN
cana-6162	107	7	a.	a.	NOUN
cana-6162	107	8	(	(	PUNCT
cana-6162	107	9	2024	2024	NUM
cana-6162	107	10	)	)	PUNCT
cana-6162	107	11	.	.	PUNCT
cana-6162	108	1	gacnet	gacnet	NOUN
cana-6162	108	2	-	-	PUNCT
cana-6162	108	3	text	text	NOUN
cana-6162	108	4	-	-	PUNCT
cana-6162	108	5	to	to	ADP
cana-6162	108	6	-	-	PUNCT
cana-6162	108	7	image	image	NOUN
cana-6162	108	8	synthesis	synthesis	NOUN
cana-6162	108	9	with	with	ADP
cana-6162	108	10	generative	generative	ADJ
cana-6162	108	11	model	model	NOUN
cana-6162	108	12	using	use	VERB
cana-6162	108	13	attention	attention	NOUN
cana-6162	108	14	mechanisms	mechanism	NOUN
cana-6162	108	15	.	.	PUNCT
cana-6162	109	1	published	publish	VERB
cana-6162	109	2	on	on	ADP
cana-6162	109	3	january	january	PROPN
cana-6162	109	4	22	22	NUM
cana-6162	109	5	,	,	PUNCT
cana-6162	109	6	2024	2024	NUM
cana-6162	109	7	.	.	PUNCT
cana-6162	110	1	[	[	X
cana-6162	110	2	4	4	NUM
cana-6162	110	3	]	]	X
cana-6162	110	4	alhabeb	alhabeb	PROPN
cana-6162	110	5	,	,	PUNCT
cana-6162	110	6	s.	s.	PROPN
cana-6162	110	7	k.	k.	PROPN
cana-6162	110	8	(	(	PUNCT
cana-6162	110	9	2024	2024	NUM
cana-6162	110	10	)	)	PUNCT
cana-6162	110	11	.	.	PUNCT
cana-6162	111	1	text	text	NOUN
cana-6162	111	2	to	to	PART
cana-6162	111	3	image	image	NOUN
cana-6162	111	4	synthesis	synthesis	NOUN
cana-6162	111	5	with	with	ADP
cana-6162	111	6	generative	generative	ADJ
cana-6162	111	7	models	model	NOUN
cana-6162	111	8	:	:	PUNCT
cana-6162	111	9	methods	method	NOUN
cana-6162	111	10	,	,	PUNCT
cana-6162	111	11	datasets	dataset	NOUN
cana-6162	111	12	,	,	PUNCT
cana-6162	111	13	performance	performance	NOUN
cana-6162	111	14	metrics	metric	NOUN
cana-6162	111	15	,	,	PUNCT
cana-6162	111	16	challenges	challenge	NOUN
cana-6162	111	17	,	,	PUNCT
cana-6162	111	18	and	and	CCONJ
cana-6162	111	19	future	future	ADJ
cana-6162	111	20	directions	direction	NOUN
cana-6162	111	21	.	.	PUNCT
cana-6162	112	1	published	publish	VERB
cana-6162	112	2	on	on	ADP
cana-6162	112	3	february	february	PROPN
cana-6162	112	4	20	20	NUM
cana-6162	112	5	,	,	PUNCT
cana-6162	112	6	2024	2024	NUM
cana-6162	112	7	.	.	PUNCT
cana-6162	113	1	communications	communication	NOUN
cana-6162	113	2	on	on	ADP
cana-6162	113	3	applied	apply	VERB
cana-6162	113	4	nonlinear	nonlinear	ADJ
cana-6162	113	5	analysis	analysis	NOUN
cana-6162	113	6	issn	issn	NOUN
cana-6162	113	7	:	:	PUNCT
cana-6162	113	8	1074	1074	NUM
cana-6162	113	9	-	-	PUNCT
cana-6162	113	10	133x	133x	NUM
cana-6162	113	11	vol	vol	VERB
cana-6162	113	12	32	32	NUM
cana-6162	113	13	no	no	NOUN
cana-6162	113	14	.	.	PUNCT
cana-6162	114	1	10s	10	NOUN
cana-6162	114	2	(	(	PUNCT
cana-6162	114	3	2025	2025	NUM
cana-6162	114	4	)	)	PUNCT
cana-6162	114	5	3512	3512	NUM
cana-6162	114	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6162	115	1	[	[	X
cana-6162	115	2	5	5	NUM
cana-6162	115	3	]	]	X
cana-6162	115	4	kim	kim	PROPN
cana-6162	115	5	,	,	PUNCT
cana-6162	115	6	h.	h.	PROPN
cana-6162	115	7	(	(	PUNCT
cana-6162	115	8	2024	2024	NUM
cana-6162	115	9	)	)	PUNCT
cana-6162	115	10	.	.	PUNCT
cana-6162	116	1	a	a	DET
cana-6162	116	2	novel	novel	ADJ
cana-6162	116	3	scheme	scheme	NOUN
cana-6162	116	4	for	for	ADP
cana-6162	116	5	generating	generate	VERB
cana-6162	116	6	context	context	NOUN
cana-6162	116	7	-	-	PUNCT
cana-6162	116	8	aware	aware	ADJ
cana-6162	116	9	images	image	NOUN
cana-6162	116	10	using	use	VERB
cana-6162	116	11	generative	generative	ADJ
cana-6162	116	12	artificial	artificial	ADJ
cana-6162	116	13	intelligence	intelligence	NOUN
cana-6162	116	14	.	.	PUNCT
cana-6162	117	1	published	publish	VERB
cana-6162	117	2	on	on	ADP
cana-6162	117	3	march	march	PROPN
cana-6162	117	4	4	4	NUM
cana-6162	117	5	,	,	PUNCT
cana-6162	117	6	2024	2024	NUM
cana-6162	117	7	.	.	PUNCT
cana-6162	118	1	[	[	X
cana-6162	118	2	6	6	NUM
cana-6162	118	3	]	]	SYM
cana-6162	118	4	li	li	PROPN
cana-6162	118	5	,	,	PUNCT
cana-6162	118	6	w.	w.	PROPN
cana-6162	118	7	(	(	PUNCT
cana-6162	118	8	2024	2024	NUM
cana-6162	118	9	)	)	PUNCT
cana-6162	118	10	.	.	PUNCT
cana-6162	119	1	mgan	mgan	PROPN
cana-6162	119	2	:	:	PUNCT
cana-6162	119	3	multi	multi	ADJ
cana-6162	119	4	-	-	NOUN
cana-6162	119	5	attribute	attribute	NOUN
cana-6162	119	6	learning	learning	NOUN
cana-6162	119	7	for	for	ADP
cana-6162	119	8	text	text	NOUN
cana-6162	119	9	-	-	PUNCT
cana-6162	119	10	to	to	ADP
cana-6162	119	11	-	-	PUNCT
cana-6162	119	12	image	image	NOUN
cana-6162	119	13	synthesis	synthesis	NOUN
cana-6162	119	14	.	.	PUNCT
cana-6162	120	1	published	publish	VERB
cana-6162	120	2	on	on	ADP
cana-6162	120	3	july	july	PROPN
cana-6162	120	4	16,2024	16,2024	NUM
cana-6162	120	5	.	.	PUNCT
cana-6162	121	1	[	[	X
cana-6162	121	2	7	7	NUM
cana-6162	121	3	]	]	X
cana-6162	121	4	gadhave	gadhave	PROPN
cana-6162	121	5	,	,	PUNCT
cana-6162	121	6	r.	r.	PROPN
cana-6162	121	7	,	,	PUNCT
cana-6162	121	8	sedamkar	sedamkar	PROPN
cana-6162	121	9	,	,	PUNCT
cana-6162	121	10	r.r	r.r	PROPN
cana-6162	121	11	.	.	PROPN
cana-6162	121	12	(	(	PUNCT
cana-6162	121	13	2022	2022	NUM
cana-6162	121	14	)	)	PUNCT
cana-6162	121	15	.	.	PUNCT
cana-6162	122	1	automated	automate	VERB
cana-6162	122	2	classification	classification	NOUN
cana-6162	122	3	ohyperspectral	ohyperspectral	ADJ
cana-6162	122	4	image	image	NOUN
cana-6162	122	5	using	use	VERB
cana-6162	122	6	supervised	supervised	ADJ
cana-6162	122	7	machine	machine	NOUN
cana-6162	122	8	learning	learning	NOUN
cana-6162	122	9	approach	approach	NOUN
cana-6162	122	10	.	.	PUNCT
cana-6162	123	1	in	in	ADP
cana-6162	123	2	:	:	PUNCT
cana-6162	123	3	unhelker	unhelker	PROPN
cana-6162	123	4	,	,	PUNCT
cana-6162	123	5	b.	b.	PROPN
cana-6162	123	6	,	,	PUNCT
cana-6162	123	7	pandey	pandey	PROPN
cana-6162	123	8	,	,	PUNCT
cana-6162	123	9	h.m	h.m	PROPN
cana-6162	123	10	.	.	PROPN
cana-6162	123	11	,	,	PUNCT
cana-6162	123	12	raj	raj	PROPN
cana-6162	123	13	,	,	PUNCT
cana-6162	123	14	g.	g.	PROPN
cana-6162	123	15	(	(	PUNCT
cana-6162	123	16	eds	eds	PROPN
cana-6162	123	17	)	)	PUNCT
cana-6162	123	18	applications	application	NOUN
cana-6162	123	19	of	of	ADP
cana-6162	123	20	artificial	artificial	ADJ
cana-6162	123	21	intelligence	intelligence	NOUN
cana-6162	123	22	and	and	CCONJ
cana-6162	123	23	machine	machine	NOUN
cana-6162	123	24	learning	learning	NOUN
cana-6162	123	25	.	.	PUNCT
cana-6162	124	1	lecture	lecture	NOUN
cana-6162	124	2	notes	note	NOUN
cana-6162	124	3	in	in	ADP
cana-6162	124	4	electrical	electrical	ADJ
cana-6162	124	5	engineering	engineering	NOUN
cana-6162	124	6	,	,	PUNCT
cana-6162	124	7	vol	vol	NOUN
cana-6162	124	8	925	925	NUM
cana-6162	124	9	.	.	PUNCT
cana-6162	124	10	springer	springer	NOUN
cana-6162	124	11	,	,	PUNCT
cana-6162	124	12	singapore	singapore	PROPN
cana-6162	124	13	.	.	PUNCT
cana-6162	125	1	https://doi.org/10.1007/978-98119-4831-2_6	https://doi.org/10.1007/978-98119-4831-2_6	PROPN
cana-6162	126	1	[	[	X
cana-6162	126	2	8	8	NUM
cana-6162	126	3	]	]	PUNCT
cana-6162	126	4	r.	r.	PROPN
cana-6162	126	5	gadhave	gadhave	PROPN
cana-6162	126	6	,	,	PUNCT
cana-6162	126	7	d.	d.	PROPN
cana-6162	126	8	anilkumar	anilkumar	PROPN
cana-6162	126	9	,	,	PUNCT
cana-6162	126	10	r.	r.	PROPN
cana-6162	126	11	khot	khot	PROPN
cana-6162	126	12	and	and	CCONJ
cana-6162	126	13	d.	d.	PROPN
cana-6162	126	14	gupta	gupta	PROPN
cana-6162	126	15	,	,	PUNCT
cana-6162	126	16	"	"	PUNCT
cana-6162	126	17	predatorsense	predatorsense	ADJ
cana-6162	126	18	-	-	PUNCT
cana-6162	126	19	wildlife	wildlife	NOUN
cana-6162	126	20	detection	detection	NOUN
cana-6162	126	21	system	system	NOUN
cana-6162	126	22	,	,	PUNCT
cana-6162	126	23	"	"	PUNCT
cana-6162	126	24	2024	2024	NUM
cana-6162	126	25	8th	8th	ADJ
cana-6162	126	26	international	international	ADJ
cana-6162	126	27	conference	conference	NOUN
cana-6162	126	28	on	on	ADP
cana-6162	126	29	computing	computing	NOUN
cana-6162	126	30	,	,	PUNCT
cana-6162	126	31	communication	communication	NOUN
cana-6162	126	32	,	,	PUNCT
cana-6162	126	33	control	control	NOUN
cana-6162	126	34	and	and	CCONJ
cana-6162	126	35	automation	automation	NOUN
cana-6162	126	36	(	(	PUNCT
cana-6162	126	37	iccubea	iccubea	NOUN
cana-6162	126	38	)	)	PUNCT
cana-6162	126	39	,	,	PUNCT
cana-6162	126	40	pune	pune	NOUN
cana-6162	126	41	,	,	PUNCT
cana-6162	126	42	india	india	PROPN
cana-6162	126	43	,	,	PUNCT
cana-6162	126	44	2024	2024	NUM
cana-6162	126	45	,	,	PUNCT
cana-6162	126	46	pp	pp	ADJ
cana-6162	126	47	.	.	PUNCT
cana-6162	126	48	1	1	NUM
cana-6162	126	49	-	-	SYM
cana-6162	126	50	4	4	NUM
cana-6162	126	51	,	,	PUNCT
cana-6162	126	52	doi	doi	NOUN
cana-6162	126	53	:	:	PUNCT
cana-6162	126	54	10.1109	10.1109	NUM
cana-6162	126	55	/	/	SYM
cana-6162	126	56	iccubea61740.2024.10774639	iccubea61740.2024.10774639	PROPN
cana-6162	126	57	.	.	PUNCT
cana-6162	127	1	https://doi.org/10.1007/978-981-19-4831-2_6	https://doi.org/10.1007/978-981-19-4831-2_6	PROPN
cana-6162	127	2	https://doi.org/10.1007/978-981-19-4831-2_6	https://doi.org/10.1007/978-981-19-4831-2_6	PROPN