id	sid	tid	token	lemma	pos
fcis-9451	1	1	frontiers	frontier	NOUN
fcis-9451	1	2	in	in	ADP
fcis-9451	1	3	computing	computing	NOUN
fcis-9451	1	4	and	and	CCONJ
fcis-9451	1	5	intelligent	intelligent	ADJ
fcis-9451	1	6	systems	system	NOUN
fcis-9451	1	7	issn	issn	VERB
fcis-9451	1	8	:	:	PUNCT
fcis-9451	1	9	2832	2832	NUM
fcis-9451	1	10	-	-	SYM
fcis-9451	1	11	6024	6024	NUM
fcis-9451	1	12	|	|	NOUN
fcis-9451	1	13	vol	vol	NOUN
fcis-9451	1	14	.	.	PROPN
fcis-9451	2	1	4	4	NUM
fcis-9451	2	2	,	,	PUNCT
fcis-9451	2	3	no	no	INTJ
fcis-9451	2	4	.	.	NOUN
fcis-9451	2	5	1	1	NUM
fcis-9451	2	6	,	,	PUNCT
fcis-9451	2	7	2023	2023	NUM
fcis-9451	2	8	60	60	NUM
fcis-9451	2	9	research	research	NOUN
fcis-9451	2	10	on	on	ADP
fcis-9451	2	11	sketching	sketch	VERB
fcis-9451	2	12	face	face	NOUN
fcis-9451	2	13	headshot	headshot	NOUN
fcis-9451	2	14	generation	generation	NOUN
fcis-9451	2	15	based	base	VERB
fcis-9451	2	16	on	on	ADP
fcis-9451	2	17	improved	improved	ADJ
fcis-9451	2	18	cyclegan	cyclegan	PROPN
fcis-9451	2	19	zhen	zhen	PROPN
fcis-9451	2	20	liao	liao	PROPN
fcis-9451	2	21	,	,	PUNCT
fcis-9451	2	22	guojun	guojun	PROPN
fcis-9451	2	23	lin	lin	PROPN
fcis-9451	2	24	*	*	PROPN
fcis-9451	2	25	school	school	NOUN
fcis-9451	2	26	of	of	ADP
fcis-9451	2	27	automation	automation	NOUN
fcis-9451	2	28	and	and	CCONJ
fcis-9451	2	29	information	information	NOUN
fcis-9451	2	30	engineering	engineering	NOUN
fcis-9451	2	31	,	,	PUNCT
fcis-9451	2	32	sichuan	sichuan	PROPN
fcis-9451	2	33	university	university	PROPN
fcis-9451	2	34	of	of	ADP
fcis-9451	2	35	science	science	PROPN
fcis-9451	2	36	&	&	CCONJ
fcis-9451	2	37	engineering	engineering	PROPN
fcis-9451	2	38	,	,	PUNCT
fcis-9451	2	39	yibin	yibin	PROPN
fcis-9451	2	40	,	,	PUNCT
fcis-9451	2	41	sichuan	sichuan	PROPN
fcis-9451	2	42	644000	644000	NUM
fcis-9451	2	43	,	,	PUNCT
fcis-9451	2	44	china	china	PROPN
fcis-9451	2	45	*	*	PUNCT
fcis-9451	2	46	corresponding	correspond	VERB
fcis-9451	2	47	author	author	NOUN
fcis-9451	2	48	:	:	PUNCT
fcis-9451	2	49	guojun	guojun	PROPN
fcis-9451	2	50	lin	lin	PROPN
fcis-9451	2	51	(	(	PUNCT
fcis-9451	2	52	email	email	NOUN
fcis-9451	2	53	:	:	PUNCT
fcis-9451	2	54	386988463@qq.com	386988463@qq.com	NUM
fcis-9451	2	55	)	)	PUNCT
fcis-9451	2	56	abstract	abstract	NOUN
fcis-9451	2	57	:	:	PUNCT
fcis-9451	2	58	at	at	ADP
fcis-9451	2	59	present	present	ADJ
fcis-9451	2	60	,	,	PUNCT
fcis-9451	2	61	sketch	sketch	ADJ
fcis-9451	2	62	heads	head	NOUN
fcis-9451	2	63	generated	generate	VERB
fcis-9451	2	64	from	from	ADP
fcis-9451	2	65	realistic	realistic	ADJ
fcis-9451	2	66	heads	head	NOUN
fcis-9451	2	67	still	still	ADV
fcis-9451	2	68	has	have	VERB
fcis-9451	2	69	problems	problem	NOUN
fcis-9451	2	70	such	such	ADJ
fcis-9451	2	71	as	as	ADP
fcis-9451	2	72	blurred	blurred	ADJ
fcis-9451	2	73	contours	contours	NOUN
fcis-9451	2	74	and	and	CCONJ
fcis-9451	2	75	missing	missing	ADJ
fcis-9451	2	76	textures	texture	NOUN
fcis-9451	2	77	.	.	PUNCT
fcis-9451	3	1	for	for	ADP
fcis-9451	3	2	this	this	DET
fcis-9451	3	3	reason	reason	NOUN
fcis-9451	3	4	,	,	PUNCT
fcis-9451	3	5	this	this	DET
fcis-9451	3	6	work	work	NOUN
fcis-9451	3	7	proposes	propose	VERB
fcis-9451	3	8	a	a	DET
fcis-9451	3	9	sketch	sketch	ADJ
fcis-9451	3	10	head	head	NOUN
fcis-9451	3	11	generation	generation	NOUN
fcis-9451	3	12	method	method	NOUN
fcis-9451	3	13	based	base	VERB
fcis-9451	3	14	on	on	ADP
fcis-9451	3	15	cyclegan	cyclegan	NOUN
fcis-9451	3	16	.	.	PUNCT
fcis-9451	4	1	firstly	firstly	ADV
fcis-9451	4	2	,	,	PUNCT
fcis-9451	4	3	the	the	DET
fcis-9451	4	4	self	self	NOUN
fcis-9451	4	5	-	-	PUNCT
fcis-9451	4	6	attention	attention	NOUN
fcis-9451	4	7	mechanism	mechanism	NOUN
fcis-9451	4	8	(	(	PUNCT
fcis-9451	4	9	squeeze	squeeze	NOUN
fcis-9451	4	10	-	-	PUNCT
fcis-9451	4	11	and	and	CCONJ
fcis-9451	4	12	-	-	PUNCT
fcis-9451	4	13	excitation	excitation	NOUN
fcis-9451	4	14	networks	network	NOUN
fcis-9451	4	15	(	(	PUNCT
fcis-9451	4	16	senet	senet	NOUN
fcis-9451	4	17	)	)	PUNCT
fcis-9451	4	18	module	module	NOUN
fcis-9451	4	19	is	be	AUX
fcis-9451	4	20	added	add	VERB
fcis-9451	4	21	to	to	ADP
fcis-9451	4	22	the	the	DET
fcis-9451	4	23	unet	unet	NOUN
fcis-9451	4	24	self	self	NOUN
fcis-9451	4	25	-	-	PUNCT
fcis-9451	4	26	encoder	encoder	NOUN
fcis-9451	4	27	;	;	PUNCT
fcis-9451	4	28	secondly	secondly	ADV
fcis-9451	4	29	,	,	PUNCT
fcis-9451	4	30	the	the	DET
fcis-9451	4	31	base	base	NOUN
fcis-9451	4	32	model	model	NOUN
fcis-9451	4	33	is	be	AUX
fcis-9451	4	34	transformed	transform	VERB
fcis-9451	4	35	into	into	ADP
fcis-9451	4	36	a	a	DET
fcis-9451	4	37	supervised	supervised	ADJ
fcis-9451	4	38	learning	learning	NOUN
fcis-9451	4	39	model	model	NOUN
fcis-9451	4	40	so	so	SCONJ
fcis-9451	4	41	as	as	SCONJ
fcis-9451	4	42	to	to	PART
fcis-9451	4	43	add	add	VERB
fcis-9451	4	44	constraints	constraint	NOUN
fcis-9451	4	45	on	on	ADP
fcis-9451	4	46	the	the	DET
fcis-9451	4	47	generated	generate	VERB
fcis-9451	4	48	avatars	avatar	NOUN
fcis-9451	4	49	and	and	CCONJ
fcis-9451	4	50	the	the	DET
fcis-9451	4	51	real	real	ADJ
fcis-9451	4	52	avatars	avatar	NOUN
fcis-9451	4	53	.	.	PUNCT
fcis-9451	5	1	the	the	DET
fcis-9451	5	2	experimental	experimental	ADJ
fcis-9451	5	3	results	result	NOUN
fcis-9451	5	4	show	show	VERB
fcis-9451	5	5	that	that	SCONJ
fcis-9451	5	6	the	the	DET
fcis-9451	5	7	sketched	sketched	NOUN
fcis-9451	5	8	avatar	avatar	NOUN
fcis-9451	5	9	generated	generate	VERB
fcis-9451	5	10	by	by	ADP
fcis-9451	5	11	the	the	DET
fcis-9451	5	12	method	method	NOUN
fcis-9451	5	13	in	in	ADP
fcis-9451	5	14	this	this	DET
fcis-9451	5	15	paper	paper	NOUN
fcis-9451	5	16	has	have	VERB
fcis-9451	5	17	a	a	DET
fcis-9451	5	18	better	well	ADJ
fcis-9451	5	19	visual	visual	ADJ
fcis-9451	5	20	effect	effect	NOUN
fcis-9451	5	21	on	on	ADP
fcis-9451	5	22	the	the	DET
fcis-9451	5	23	cuhk	cuhk	PROPN
fcis-9451	5	24	student	student	NOUN
fcis-9451	5	25	test	test	NOUN
fcis-9451	5	26	set	set	VERB
fcis-9451	5	27	with	with	ADP
fcis-9451	5	28	a	a	DET
fcis-9451	5	29	0.0274	0.0274	NUM
fcis-9451	5	30	improvement	improvement	NOUN
fcis-9451	5	31	in	in	ADP
fcis-9451	5	32	ssim	ssim	NOUN
fcis-9451	5	33	value	value	NOUN
fcis-9451	5	34	than	than	ADP
fcis-9451	5	35	the	the	DET
fcis-9451	5	36	sketched	sketched	NOUN
fcis-9451	5	37	avatar	avatar	NOUN
fcis-9451	5	38	generated	generate	VERB
fcis-9451	5	39	by	by	ADP
fcis-9451	5	40	the	the	DET
fcis-9451	5	41	base	base	NOUN
fcis-9451	5	42	model	model	NOUN
fcis-9451	5	43	.	.	PUNCT
fcis-9451	6	1	keywords	keyword	NOUN
fcis-9451	6	2	:	:	PUNCT
fcis-9451	6	3	feature	feature	NOUN
fcis-9451	6	4	extraction	extraction	NOUN
fcis-9451	6	5	;	;	PUNCT
fcis-9451	6	6	unet	unet	NOUN
fcis-9451	6	7	self	self	NOUN
fcis-9451	6	8	-	-	PUNCT
fcis-9451	6	9	encoder	encoder	NOUN
fcis-9451	6	10	;	;	PUNCT
fcis-9451	6	11	sketch	sketch	ADJ
fcis-9451	6	12	head	head	NOUN
fcis-9451	6	13	;	;	PUNCT
fcis-9451	6	14	supervised	supervised	ADJ
fcis-9451	6	15	learning	learning	NOUN
fcis-9451	6	16	;	;	PUNCT
fcis-9451	6	17	cyclegan	cyclegan	NOUN
fcis-9451	6	18	.	.	PUNCT
fcis-9451	7	1	1	1	X
fcis-9451	7	2	.	.	X
fcis-9451	7	3	introduction	introduction	NOUN
fcis-9451	7	4	sketch	sketch	NOUN
fcis-9451	7	5	avatar	avatar	NOUN
fcis-9451	7	6	generation	generation	NOUN
fcis-9451	7	7	is	be	AUX
fcis-9451	7	8	to	to	PART
fcis-9451	7	9	generate	generate	VERB
fcis-9451	7	10	a	a	DET
fcis-9451	7	11	corresponding	correspond	VERB
fcis-9451	7	12	sketch	sketch	NOUN
fcis-9451	7	13	avatar	avatar	NOUN
fcis-9451	7	14	given	give	VERB
fcis-9451	7	15	a	a	DET
fcis-9451	7	16	real	real	ADJ
fcis-9451	7	17	avatar	avatar	NOUN
fcis-9451	7	18	.	.	PUNCT
fcis-9451	8	1	with	with	ADP
fcis-9451	8	2	the	the	DET
fcis-9451	8	3	rapid	rapid	ADJ
fcis-9451	8	4	development	development	NOUN
fcis-9451	8	5	of	of	ADP
fcis-9451	8	6	image	image	NOUN
fcis-9451	8	7	generation	generation	NOUN
fcis-9451	8	8	technology	technology	NOUN
fcis-9451	8	9	,	,	PUNCT
fcis-9451	8	10	sketch	sketch	ADJ
fcis-9451	8	11	avatars	avatar	NOUN
fcis-9451	8	12	have	have	AUX
fcis-9451	8	13	been	be	AUX
fcis-9451	8	14	widely	widely	ADV
fcis-9451	8	15	used	use	VERB
fcis-9451	8	16	in	in	ADP
fcis-9451	8	17	the	the	DET
fcis-9451	8	18	field	field	NOUN
fcis-9451	8	19	of	of	ADP
fcis-9451	8	20	digital	digital	ADJ
fcis-9451	8	21	entertainment	entertainment	NOUN
fcis-9451	8	22	.	.	PUNCT
fcis-9451	9	1	sketched	sketched	PROPN
fcis-9451	9	2	avatars	avatar	NOUN
fcis-9451	9	3	are	be	AUX
fcis-9451	9	4	used	use	VERB
fcis-9451	9	5	as	as	SCONJ
fcis-9451	9	6	personal	personal	ADJ
fcis-9451	9	7	avatar	avatar	ADJ
fcis-9451	9	8	profiles	profile	NOUN
fcis-9451	9	9	are	be	AUX
fcis-9451	9	10	favored	favor	VERB
fcis-9451	9	11	by	by	ADP
fcis-9451	9	12	more	more	ADJ
fcis-9451	9	13	and	and	CCONJ
fcis-9451	9	14	more	more	ADJ
fcis-9451	9	15	internet	internet	NOUN
fcis-9451	9	16	users	user	NOUN
fcis-9451	9	17	;	;	PUNCT
fcis-9451	9	18	various	various	ADJ
fcis-9451	9	19	social	social	ADJ
fcis-9451	9	20	networking	network	VERB
fcis-9451	9	21	software	software	NOUN
fcis-9451	9	22	that	that	PRON
fcis-9451	9	23	converts	convert	VERB
fcis-9451	9	24	real	real	ADJ
fcis-9451	9	25	avatars	avatar	NOUN
fcis-9451	9	26	into	into	ADP
fcis-9451	9	27	sketch	sketch	ADJ
fcis-9451	9	28	style	style	NOUN
fcis-9451	9	29	are	be	AUX
fcis-9451	9	30	also	also	ADV
fcis-9451	9	31	welcomed	welcome	VERB
fcis-9451	9	32	by	by	ADP
fcis-9451	9	33	the	the	DET
fcis-9451	9	34	majority	majority	NOUN
fcis-9451	9	35	of	of	ADP
fcis-9451	9	36	internet	internet	NOUN
fcis-9451	9	37	users	user	NOUN
fcis-9451	9	38	.	.	PUNCT
fcis-9451	10	1	at	at	ADP
fcis-9451	10	2	present	present	ADJ
fcis-9451	10	3	,	,	PUNCT
fcis-9451	10	4	there	there	PRON
fcis-9451	10	5	are	be	VERB
fcis-9451	10	6	two	two	NUM
fcis-9451	10	7	main	main	ADJ
fcis-9451	10	8	approaches	approach	NOUN
fcis-9451	10	9	for	for	ADP
fcis-9451	10	10	sketch	sketch	ADJ
fcis-9451	10	11	avatar	avatar	ADJ
fcis-9451	10	12	generation	generation	NOUN
fcis-9451	10	13	,	,	PUNCT
fcis-9451	10	14	which	which	PRON
fcis-9451	10	15	are	be	AUX
fcis-9451	10	16	model	model	NOUN
fcis-9451	10	17	-	-	PUNCT
fcis-9451	10	18	driven	drive	VERB
fcis-9451	10	19	approach	approach	NOUN
fcis-9451	10	20	and	and	CCONJ
fcis-9451	10	21	data	data	NOUN
fcis-9451	10	22	-	-	PUNCT
fcis-9451	10	23	driven	drive	VERB
fcis-9451	10	24	approach	approach	NOUN
fcis-9451	10	25	.	.	PUNCT
fcis-9451	11	1	the	the	DET
fcis-9451	11	2	model	model	NOUN
fcis-9451	11	3	-	-	PUNCT
fcis-9451	11	4	driven	drive	VERB
fcis-9451	11	5	methods	method	NOUN
fcis-9451	11	6	are	be	AUX
fcis-9451	11	7	mainly	mainly	ADV
fcis-9451	11	8	based	base	VERB
fcis-9451	11	9	on	on	ADP
fcis-9451	11	10	bayesian	bayesian	NOUN
fcis-9451	11	11	learning	learn	VERB
fcis-9451	11	12	[	[	X
fcis-9451	11	13	1	1	NUM
fcis-9451	11	14	]	]	PUNCT
fcis-9451	11	15	and	and	CCONJ
fcis-9451	11	16	multivariate	multivariate	VERB
fcis-9451	11	17	output	output	NOUN
fcis-9451	11	18	regression	regression	NOUN
fcis-9451	11	19	methods	method	NOUN
fcis-9451	11	20	[	[	X
fcis-9451	11	21	2	2	NUM
fcis-9451	11	22	]	]	PUNCT
fcis-9451	11	23	.	.	PUNCT
fcis-9451	12	1	wang	wang	PROPN
fcis-9451	12	2	and	and	CCONJ
fcis-9451	12	3	tang	tang	PROPN
fcis-9451	13	1	[	[	X
fcis-9451	13	2	3	3	X
fcis-9451	13	3	]	]	PUNCT
fcis-9451	13	4	proposed	propose	VERB
fcis-9451	13	5	a	a	DET
fcis-9451	13	6	data	data	NOUN
fcis-9451	13	7	-	-	PUNCT
fcis-9451	13	8	driven	drive	VERB
fcis-9451	13	9	approach	approach	NOUN
fcis-9451	13	10	.	.	PUNCT
fcis-9451	14	1	the	the	DET
fcis-9451	14	2	method	method	NOUN
fcis-9451	14	3	is	be	AUX
fcis-9451	14	4	a	a	DET
fcis-9451	14	5	markov	markov	NOUN
fcis-9451	14	6	random	random	ADJ
fcis-9451	14	7	field	field	NOUN
fcis-9451	14	8	model	model	NOUN
fcis-9451	14	9	based	base	VERB
fcis-9451	14	10	on	on	ADP
fcis-9451	14	11	probabilistic	probabilistic	ADJ
fcis-9451	14	12	graphs	graph	NOUN
fcis-9451	14	13	and	and	CCONJ
fcis-9451	14	14	a	a	DET
fcis-9451	14	15	local	local	ADJ
fcis-9451	14	16	linear	linear	NOUN
fcis-9451	14	17	embedding	embed	VERB
fcis-9451	14	18	[	[	X
fcis-9451	14	19	4	4	NUM
fcis-9451	14	20	]	]	ADJ
fcis-9451	14	21	synthesis	synthesis	NOUN
fcis-9451	14	22	method	method	NOUN
fcis-9451	14	23	based	base	VERB
fcis-9451	14	24	on	on	ADP
fcis-9451	14	25	subspace	subspace	NOUN
fcis-9451	14	26	learning	learning	PROPN
fcis-9451	14	27	.	.	PUNCT
fcis-9451	15	1	the	the	DET
fcis-9451	15	2	sketched	sketched	ADJ
fcis-9451	15	3	head	head	NOUN
fcis-9451	15	4	generated	generate	VERB
fcis-9451	15	5	by	by	ADP
fcis-9451	15	6	the	the	DET
fcis-9451	15	7	model	model	NOUN
fcis-9451	15	8	-	-	PUNCT
fcis-9451	15	9	driven	drive	VERB
fcis-9451	15	10	approach	approach	NOUN
fcis-9451	15	11	and	and	CCONJ
fcis-9451	15	12	the	the	DET
fcis-9451	15	13	datadriven	datadriven	ADJ
fcis-9451	15	14	approach	approach	NOUN
fcis-9451	15	15	can	can	AUX
fcis-9451	15	16	not	not	PART
fcis-9451	15	17	capture	capture	VERB
fcis-9451	15	18	the	the	DET
fcis-9451	15	19	head	head	NOUN
fcis-9451	15	20	detail	detail	NOUN
fcis-9451	15	21	information	information	NOUN
fcis-9451	15	22	well	well	ADV
fcis-9451	15	23	compared	compare	VERB
fcis-9451	15	24	with	with	ADP
fcis-9451	15	25	the	the	DET
fcis-9451	15	26	artist	artist	NOUN
fcis-9451	15	27	's	's	PART
fcis-9451	15	28	hand	hand	NOUN
fcis-9451	15	29	-	-	PUNCT
fcis-9451	15	30	drawn	draw	VERB
fcis-9451	15	31	one	one	NOUN
fcis-9451	15	32	,	,	PUNCT
fcis-9451	15	33	making	make	VERB
fcis-9451	15	34	the	the	DET
fcis-9451	15	35	generated	generate	VERB
fcis-9451	15	36	sketched	sketched	NOUN
fcis-9451	15	37	head	head	NOUN
fcis-9451	15	38	not	not	PART
fcis-9451	15	39	similar	similar	ADJ
fcis-9451	15	40	enough	enough	ADV
fcis-9451	15	41	to	to	ADP
fcis-9451	15	42	the	the	DET
fcis-9451	15	43	real	real	ADJ
fcis-9451	15	44	one	one	NOUN
fcis-9451	15	45	,	,	PUNCT
fcis-9451	15	46	while	while	SCONJ
fcis-9451	15	47	the	the	DET
fcis-9451	15	48	generated	generate	VERB
fcis-9451	15	49	sketched	sketched	ADJ
fcis-9451	15	50	head	head	NOUN
fcis-9451	15	51	is	be	AUX
fcis-9451	15	52	excessively	excessively	ADV
fcis-9451	15	53	smooth	smooth	ADJ
fcis-9451	15	54	lacking	lack	VERB
fcis-9451	15	55	the	the	DET
fcis-9451	15	56	sketch	sketch	ADJ
fcis-9451	15	57	art	art	NOUN
fcis-9451	15	58	style	style	NOUN
fcis-9451	15	59	[	[	X
fcis-9451	15	60	5	5	NUM
fcis-9451	15	61	]	]	PUNCT
fcis-9451	15	62	.	.	PUNCT
fcis-9451	16	1	in	in	ADP
fcis-9451	16	2	2014	2014	NUM
fcis-9451	16	3	,	,	PUNCT
fcis-9451	16	4	goodfellow	goodfellow	PROPN
fcis-9451	16	5	et	et	PROPN
fcis-9451	16	6	al	al	PROPN
fcis-9451	17	1	[	[	X
fcis-9451	17	2	6	6	NUM
fcis-9451	17	3	]	]	PUNCT
fcis-9451	17	4	proposed	propose	VERB
fcis-9451	17	5	generative	generative	ADJ
fcis-9451	17	6	adversarial	adversarial	ADJ
fcis-9451	17	7	network	network	NOUN
fcis-9451	17	8	(	(	PUNCT
fcis-9451	17	9	gan	gan	PROPN
fcis-9451	17	10	)	)	PUNCT
fcis-9451	17	11	,	,	PUNCT
fcis-9451	17	12	which	which	PRON
fcis-9451	17	13	has	have	AUX
fcis-9451	17	14	achieved	achieve	VERB
fcis-9451	17	15	great	great	ADJ
fcis-9451	17	16	success	success	NOUN
fcis-9451	17	17	in	in	ADP
fcis-9451	17	18	the	the	DET
fcis-9451	17	19	field	field	NOUN
fcis-9451	17	20	of	of	ADP
fcis-9451	17	21	image	image	NOUN
fcis-9451	17	22	generation	generation	NOUN
fcis-9451	17	23	due	due	ADP
fcis-9451	17	24	to	to	ADP
fcis-9451	17	25	its	its	PRON
fcis-9451	17	26	powerful	powerful	ADJ
fcis-9451	17	27	generative	generative	ADJ
fcis-9451	17	28	power	power	NOUN
fcis-9451	17	29	and	and	CCONJ
fcis-9451	17	30	also	also	ADV
fcis-9451	17	31	one	one	NUM
fcis-9451	17	32	of	of	ADP
fcis-9451	17	33	the	the	DET
fcis-9451	17	34	most	most	ADV
fcis-9451	17	35	rapidly	rapidly	ADV
fcis-9451	17	36	developing	develop	VERB
fcis-9451	17	37	directions	direction	NOUN
fcis-9451	17	38	of	of	ADP
fcis-9451	17	39	deep	deep	ADJ
fcis-9451	17	40	neural	neural	ADJ
fcis-9451	17	41	networks[7].gan	networks[7].gan	PROPN
fcis-9451	17	42	and	and	CCONJ
fcis-9451	17	43	its	its	PRON
fcis-9451	17	44	variants	variant	NOUN
fcis-9451	17	45	have	have	AUX
fcis-9451	17	46	achieved	achieve	VERB
fcis-9451	17	47	good	good	ADJ
fcis-9451	17	48	results	result	NOUN
fcis-9451	17	49	in	in	ADP
fcis-9451	17	50	image	image	NOUN
fcis-9451	17	51	generation[8	generation[8	NOUN
fcis-9451	17	52	]	]	PUNCT
fcis-9451	17	53	and	and	CCONJ
fcis-9451	17	54	other	other	ADJ
fcis-9451	17	55	fields	field	NOUN
fcis-9451	17	56	have	have	AUX
fcis-9451	17	57	achieved	achieve	VERB
fcis-9451	17	58	good	good	ADJ
fcis-9451	17	59	results	result	NOUN
fcis-9451	17	60	and	and	CCONJ
fcis-9451	17	61	compensate	compensate	VERB
fcis-9451	17	62	the	the	DET
fcis-9451	17	63	shortcomings	shortcoming	NOUN
fcis-9451	17	64	of	of	ADP
fcis-9451	17	65	traditional	traditional	ADJ
fcis-9451	17	66	methods	method	NOUN
fcis-9451	17	67	.pix2pix[9	.pix2pix[9	PUNCT
fcis-9451	17	68	]	]	PUNCT
fcis-9451	17	69	has	have	AUX
fcis-9451	17	70	achieved	achieve	VERB
fcis-9451	17	71	good	good	ADJ
fcis-9451	17	72	results	result	NOUN
fcis-9451	17	73	in	in	ADP
fcis-9451	17	74	the	the	DET
fcis-9451	17	75	field	field	NOUN
fcis-9451	17	76	of	of	ADP
fcis-9451	17	77	image	image	NOUN
fcis-9451	17	78	generation	generation	NOUN
fcis-9451	17	79	,	,	PUNCT
fcis-9451	17	80	but	but	CCONJ
fcis-9451	17	81	the	the	DET
fcis-9451	17	82	images	image	NOUN
fcis-9451	17	83	generated	generate	VERB
fcis-9451	17	84	by	by	ADP
fcis-9451	17	85	pix2pix	pix2pix	PROPN
fcis-9451	17	86	tend	tend	VERB
fcis-9451	17	87	to	to	PART
fcis-9451	17	88	be	be	AUX
fcis-9451	17	89	blurred	blur	VERB
fcis-9451	17	90	.	.	PUNCT
fcis-9451	18	1	the	the	DET
fcis-9451	18	2	reason	reason	NOUN
fcis-9451	18	3	is	be	AUX
fcis-9451	18	4	that	that	SCONJ
fcis-9451	18	5	pix2pix	pix2pix	PROPN
fcis-9451	18	6	is	be	AUX
fcis-9451	18	7	a	a	DET
fcis-9451	18	8	single	single	ADJ
fcis-9451	18	9	network	network	NOUN
fcis-9451	18	10	conversion	conversion	NOUN
fcis-9451	18	11	structure	structure	NOUN
fcis-9451	18	12	,	,	PUNCT
fcis-9451	18	13	which	which	PRON
fcis-9451	18	14	can	can	AUX
fcis-9451	18	15	not	not	PART
fcis-9451	18	16	guarantee	guarantee	VERB
fcis-9451	18	17	the	the	DET
fcis-9451	18	18	structural	structural	ADJ
fcis-9451	18	19	consistency	consistency	NOUN
fcis-9451	18	20	of	of	ADP
fcis-9451	18	21	images	image	NOUN
fcis-9451	18	22	before	before	ADV
fcis-9451	18	23	and	and	CCONJ
fcis-9451	18	24	after	after	ADP
fcis-9451	18	25	conversion	conversion	NOUN
fcis-9451	18	26	.	.	PUNCT
fcis-9451	19	1	cyclegan	cyclegan	PROPN
fcis-9451	19	2	is	be	AUX
fcis-9451	19	3	a	a	DET
fcis-9451	19	4	novel	novel	ADJ
fcis-9451	19	5	generative	generative	ADJ
fcis-9451	19	6	adversarial	adversarial	ADJ
fcis-9451	19	7	network	network	NOUN
fcis-9451	19	8	model	model	NOUN
fcis-9451	19	9	proposed	propose	VERB
fcis-9451	19	10	by	by	ADP
fcis-9451	19	11	zhu	zhu	PROPN
fcis-9451	19	12	et	et	PROPN
fcis-9451	19	13	al	al	PROPN
fcis-9451	20	1	[	[	X
fcis-9451	20	2	10	10	NUM
fcis-9451	20	3	]	]	PUNCT
fcis-9451	20	4	,	,	PUNCT
fcis-9451	20	5	which	which	PRON
fcis-9451	20	6	contains	contain	VERB
fcis-9451	20	7	a	a	DET
fcis-9451	20	8	cyclic	cyclic	ADJ
fcis-9451	20	9	reconstruction	reconstruction	NOUN
fcis-9451	20	10	process	process	NOUN
fcis-9451	20	11	of	of	ADP
fcis-9451	20	12	two	two	NUM
fcis-9451	20	13	generative	generative	ADJ
fcis-9451	20	14	adversarial	adversarial	ADJ
fcis-9451	20	15	networks	network	NOUN
fcis-9451	20	16	.	.	PUNCT
fcis-9451	21	1	compared	compare	VERB
fcis-9451	21	2	with	with	ADP
fcis-9451	21	3	other	other	ADJ
fcis-9451	21	4	models	model	NOUN
fcis-9451	21	5	,	,	PUNCT
fcis-9451	21	6	cyclegan	cyclegan	PROPN
fcis-9451	21	7	can	can	AUX
fcis-9451	21	8	map	map	VERB
fcis-9451	21	9	images	image	NOUN
fcis-9451	21	10	from	from	ADP
fcis-9451	21	11	one	one	NUM
fcis-9451	21	12	domain	domain	NOUN
fcis-9451	21	13	to	to	ADP
fcis-9451	21	14	another	another	PRON
fcis-9451	21	15	and	and	CCONJ
fcis-9451	21	16	then	then	ADV
fcis-9451	21	17	map	map	VERB
fcis-9451	21	18	the	the	DET
fcis-9451	21	19	synthesized	synthesize	VERB
fcis-9451	21	20	images	image	NOUN
fcis-9451	21	21	back	back	ADV
fcis-9451	21	22	.	.	PUNCT
fcis-9451	22	1	this	this	DET
fcis-9451	22	2	dual	dual	ADJ
fcis-9451	22	3	mapping	mapping	NOUN
fcis-9451	22	4	structure	structure	NOUN
fcis-9451	22	5	of	of	ADP
fcis-9451	22	6	the	the	DET
fcis-9451	22	7	network	network	NOUN
fcis-9451	22	8	maintains	maintain	VERB
fcis-9451	22	9	the	the	DET
fcis-9451	22	10	structure	structure	NOUN
fcis-9451	22	11	of	of	ADP
fcis-9451	22	12	the	the	DET
fcis-9451	22	13	generated	generate	VERB
fcis-9451	22	14	images	image	NOUN
fcis-9451	22	15	well	well	ADV
fcis-9451	22	16	.	.	PUNCT
fcis-9451	23	1	cyclegan	cyclegan	PROPN
fcis-9451	23	2	is	be	AUX
fcis-9451	23	3	an	an	DET
fcis-9451	23	4	unsupervised	unsupervised	ADJ
fcis-9451	23	5	learning	learning	NOUN
fcis-9451	23	6	model	model	NOUN
fcis-9451	23	7	that	that	PRON
fcis-9451	23	8	uses	use	VERB
fcis-9451	23	9	cyclic	cyclic	ADJ
fcis-9451	23	10	consistency	consistency	NOUN
fcis-9451	23	11	loss	loss	NOUN
fcis-9451	23	12	to	to	PART
fcis-9451	23	13	constrain	constrain	VERB
fcis-9451	23	14	the	the	DET
fcis-9451	23	15	correlation	correlation	NOUN
fcis-9451	23	16	between	between	ADP
fcis-9451	23	17	the	the	DET
fcis-9451	23	18	generated	generate	VERB
fcis-9451	23	19	and	and	CCONJ
fcis-9451	23	20	input	input	NOUN
fcis-9451	23	21	images	image	NOUN
fcis-9451	23	22	.	.	PUNCT
fcis-9451	24	1	the	the	DET
fcis-9451	24	2	literature	literature	NOUN
fcis-9451	24	3	[	[	X
fcis-9451	24	4	11	11	NUM
fcis-9451	24	5	]	]	PUNCT
fcis-9451	24	6	mentions	mention	VERB
fcis-9451	24	7	that	that	SCONJ
fcis-9451	24	8	using	use	VERB
fcis-9451	24	9	cyclic	cyclic	ADJ
fcis-9451	24	10	consistency	consistency	NOUN
fcis-9451	24	11	loss	loss	NOUN
fcis-9451	24	12	,	,	PUNCT
fcis-9451	24	13	the	the	DET
fcis-9451	24	14	generated	generate	VERB
fcis-9451	24	15	images	image	NOUN
fcis-9451	24	16	have	have	VERB
fcis-9451	24	17	the	the	DET
fcis-9451	24	18	problem	problem	NOUN
fcis-9451	24	19	of	of	ADP
fcis-9451	24	20	feature	feature	NOUN
fcis-9451	24	21	hiding	hide	VERB
fcis-9451	24	22	.	.	PUNCT
fcis-9451	25	1	unet	unet	NOUN
fcis-9451	26	1	[	[	X
fcis-9451	26	2	12	12	NUM
fcis-9451	26	3	]	]	X
fcis-9451	26	4	self	self	NOUN
fcis-9451	26	5	-	-	PUNCT
fcis-9451	26	6	encoder	encoder	NOUN
fcis-9451	26	7	consists	consist	VERB
fcis-9451	26	8	of	of	ADP
fcis-9451	26	9	an	an	DET
fcis-9451	26	10	encoder	encoder	NOUN
fcis-9451	26	11	and	and	CCONJ
fcis-9451	26	12	a	a	DET
fcis-9451	26	13	decoder	decoder	NOUN
fcis-9451	26	14	,	,	PUNCT
fcis-9451	26	15	and	and	CCONJ
fcis-9451	26	16	the	the	DET
fcis-9451	26	17	hopping	hop	VERB
fcis-9451	26	18	layer	layer	NOUN
fcis-9451	26	19	connection	connection	NOUN
fcis-9451	26	20	between	between	ADP
fcis-9451	26	21	the	the	DET
fcis-9451	26	22	same	same	ADJ
fcis-9451	26	23	layer	layer	NOUN
fcis-9451	26	24	in	in	ADP
fcis-9451	26	25	the	the	DET
fcis-9451	26	26	encoder	encoder	NOUN
fcis-9451	26	27	and	and	CCONJ
fcis-9451	26	28	decoder	decoder	NOUN
fcis-9451	26	29	can	can	AUX
fcis-9451	26	30	greatly	greatly	ADV
fcis-9451	26	31	improve	improve	VERB
fcis-9451	26	32	the	the	DET
fcis-9451	26	33	quality	quality	NOUN
fcis-9451	26	34	of	of	ADP
fcis-9451	26	35	the	the	DET
fcis-9451	26	36	generated	generate	VERB
fcis-9451	26	37	images	image	NOUN
fcis-9451	26	38	.	.	PUNCT
fcis-9451	27	1	therefore	therefore	ADV
fcis-9451	27	2	,	,	PUNCT
fcis-9451	27	3	in	in	ADP
fcis-9451	27	4	this	this	DET
fcis-9451	27	5	paper	paper	NOUN
fcis-9451	27	6	,	,	PUNCT
fcis-9451	27	7	we	we	PRON
fcis-9451	27	8	propose	propose	VERB
fcis-9451	27	9	a	a	DET
fcis-9451	27	10	sketch	sketch	ADJ
fcis-9451	27	11	head	head	NOUN
fcis-9451	27	12	generation	generation	NOUN
fcis-9451	27	13	method	method	NOUN
fcis-9451	27	14	based	base	VERB
fcis-9451	27	15	on	on	ADP
fcis-9451	27	16	cyclegan	cyclegan	NOUN
fcis-9451	27	17	and	and	CCONJ
fcis-9451	27	18	unet	unet	NOUN
fcis-9451	27	19	selfencoder	selfencoder	NOUN
fcis-9451	27	20	.	.	PUNCT
fcis-9451	28	1	firstly	firstly	ADV
fcis-9451	28	2	,	,	PUNCT
fcis-9451	28	3	a	a	DET
fcis-9451	28	4	self	self	NOUN
fcis-9451	28	5	-	-	PUNCT
fcis-9451	28	6	attentive	attentive	ADJ
fcis-9451	28	7	mechanism	mechanism	NOUN
fcis-9451	28	8	(	(	PUNCT
fcis-9451	28	9	squeeze	squeeze	NOUN
fcis-9451	28	10	-	-	PUNCT
fcis-9451	28	11	andexcitation	andexcitation	NOUN
fcis-9451	28	12	networks	network	NOUN
fcis-9451	28	13	(	(	PUNCT
fcis-9451	28	14	senet	senet	NOUN
fcis-9451	28	15	)	)	PUNCT
fcis-9451	29	1	[	[	X
fcis-9451	29	2	13	13	NUM
fcis-9451	29	3	]	]	PUNCT
fcis-9451	29	4	module	module	NOUN
fcis-9451	29	5	is	be	AUX
fcis-9451	29	6	embedded	embed	VERB
fcis-9451	29	7	in	in	ADP
fcis-9451	29	8	the	the	DET
fcis-9451	29	9	unet	unet	NOUN
fcis-9451	29	10	self	self	NOUN
fcis-9451	29	11	-	-	PUNCT
fcis-9451	29	12	encoder	encoder	NOUN
fcis-9451	29	13	to	to	PART
fcis-9451	29	14	improve	improve	VERB
fcis-9451	29	15	the	the	DET
fcis-9451	29	16	model	model	NOUN
fcis-9451	29	17	's	's	PART
fcis-9451	29	18	ability	ability	NOUN
fcis-9451	29	19	to	to	PART
fcis-9451	29	20	extract	extract	VERB
fcis-9451	29	21	features	feature	NOUN
fcis-9451	29	22	.	.	PUNCT
fcis-9451	30	1	secondly	secondly	ADV
fcis-9451	30	2	,	,	PUNCT
fcis-9451	30	3	the	the	DET
fcis-9451	30	4	model	model	NOUN
fcis-9451	30	5	is	be	AUX
fcis-9451	30	6	converted	convert	VERB
fcis-9451	30	7	to	to	ADP
fcis-9451	30	8	a	a	DET
fcis-9451	30	9	supervised	supervised	ADJ
fcis-9451	30	10	learning	learning	NOUN
fcis-9451	30	11	model	model	NOUN
fcis-9451	30	12	so	so	SCONJ
fcis-9451	30	13	as	as	SCONJ
fcis-9451	30	14	to	to	PART
fcis-9451	30	15	add	add	VERB
fcis-9451	30	16	l1	l1	PROPN
fcis-9451	30	17	constraints	constraint	NOUN
fcis-9451	30	18	on	on	ADP
fcis-9451	30	19	the	the	DET
fcis-9451	30	20	generated	generate	VERB
fcis-9451	30	21	avatars	avatar	NOUN
fcis-9451	30	22	and	and	CCONJ
fcis-9451	30	23	the	the	DET
fcis-9451	30	24	real	real	ADJ
fcis-9451	30	25	avatars	avatar	NOUN
fcis-9451	30	26	.	.	PUNCT
fcis-9451	31	1	2	2	X
fcis-9451	31	2	.	.	X
fcis-9451	31	3	organization	organization	NOUN
fcis-9451	31	4	of	of	ADP
fcis-9451	31	5	the	the	DET
fcis-9451	31	6	text	text	NOUN
fcis-9451	31	7	2.1	2.1	NUM
fcis-9451	31	8	.	.	PUNCT
fcis-9451	32	1	overall	overall	ADJ
fcis-9451	32	2	network	network	NOUN
fcis-9451	32	3	framework	framework	NOUN
fcis-9451	32	4	diagram	diagram	NOUN
fcis-9451	32	5	figure	figure	NOUN
fcis-9451	32	6	1	1	NUM
fcis-9451	32	7	.	.	PUNCT
fcis-9451	33	1	the	the	DET
fcis-9451	33	2	overall	overall	ADJ
fcis-9451	33	3	network	network	NOUN
fcis-9451	33	4	framework	framework	NOUN
fcis-9451	33	5	the	the	DET
fcis-9451	33	6	overall	overall	ADJ
fcis-9451	33	7	network	network	NOUN
fcis-9451	33	8	framework	framework	NOUN
fcis-9451	33	9	of	of	ADP
fcis-9451	33	10	the	the	DET
fcis-9451	33	11	model	model	NOUN
fcis-9451	33	12	is	be	AUX
fcis-9451	33	13	shown	show	VERB
fcis-9451	33	14	in	in	ADP
fcis-9451	33	15	fig	fig	NOUN
fcis-9451	33	16	.	.	PUNCT
fcis-9451	34	1	1	1	X
fcis-9451	34	2	.	.	X
fcis-9451	34	3	for	for	ADP
fcis-9451	34	4	the	the	DET
fcis-9451	34	5	purpose	purpose	NOUN
fcis-9451	34	6	of	of	ADP
fcis-9451	34	7	later	later	ADJ
fcis-9451	34	8	description	description	NOUN
fcis-9451	34	9	,	,	PUNCT
fcis-9451	34	10	the	the	DET
fcis-9451	34	11	set	set	NOUN
fcis-9451	34	12	of	of	ADP
fcis-9451	34	13	realistic	realistic	ADJ
fcis-9451	34	14	61	61	NUM
fcis-9451	34	15	avatars	avatar	NOUN
fcis-9451	34	16	is	be	AUX
fcis-9451	34	17	set	set	VERB
fcis-9451	34	18	as	as	SCONJ
fcis-9451	34	19	x	x	X
fcis-9451	34	20	domain	domain	NOUN
fcis-9451	34	21	and	and	CCONJ
fcis-9451	34	22	the	the	DET
fcis-9451	34	23	set	set	NOUN
fcis-9451	34	24	of	of	ADP
fcis-9451	34	25	sketched	sketched	ADJ
fcis-9451	34	26	avatars	avatar	NOUN
fcis-9451	34	27	is	be	AUX
fcis-9451	34	28	set	set	VERB
fcis-9451	34	29	as	as	ADP
fcis-9451	34	30	y	y	PROPN
fcis-9451	34	31	domain	domain	NOUN
fcis-9451	34	32	.	.	PUNCT
fcis-9451	35	1	let	let	VERB
fcis-9451	35	2	the	the	DET
fcis-9451	35	3	distribution	distribution	NOUN
fcis-9451	35	4	satisfied	satisfy	VERB
fcis-9451	35	5	by	by	ADP
fcis-9451	35	6	the	the	DET
fcis-9451	35	7	face	face	NOUN
fcis-9451	35	8	avatars	avatar	NOUN
fcis-9451	35	9	in	in	ADP
fcis-9451	35	10	domain	domain	NOUN
fcis-9451	35	11	x	x	PART
fcis-9451	35	12	be	be	AUX
fcis-9451	35	13	p(x	p(x	VERB
fcis-9451	35	14	)	)	PUNCT
fcis-9451	35	15	and	and	CCONJ
fcis-9451	35	16	the	the	DET
fcis-9451	35	17	distribution	distribution	NOUN
fcis-9451	35	18	satisfied	satisfy	VERB
fcis-9451	35	19	by	by	ADP
fcis-9451	35	20	the	the	DET
fcis-9451	35	21	face	face	NOUN
fcis-9451	35	22	avatars	avatar	NOUN
fcis-9451	35	23	in	in	ADP
fcis-9451	35	24	domain	domain	NOUN
fcis-9451	36	1	y	y	PROPN
fcis-9451	36	2	be	be	AUX
fcis-9451	36	3	q(y	q(y	NOUN
fcis-9451	36	4	)	)	PUNCT
fcis-9451	36	5	.	.	PUNCT
fcis-9451	37	1	the	the	DET
fcis-9451	37	2	whole	whole	ADJ
fcis-9451	37	3	network	network	NOUN
fcis-9451	37	4	consists	consist	VERB
fcis-9451	37	5	of	of	ADP
fcis-9451	37	6	two	two	NUM
fcis-9451	37	7	generators	generator	NOUN
fcis-9451	37	8	and	and	CCONJ
fcis-9451	37	9	two	two	NUM
fcis-9451	37	10	discriminators	discriminator	NOUN
fcis-9451	37	11	.	.	PUNCT
fcis-9451	38	1	the	the	DET
fcis-9451	38	2	generator	generator	NOUN
fcis-9451	38	3	g	g	PROPN
fcis-9451	38	4	represents	represent	VERB
fcis-9451	38	5	the	the	DET
fcis-9451	38	6	mapping	mapping	NOUN
fcis-9451	38	7	of	of	ADP
fcis-9451	38	8	x	x	ADJ
fcis-9451	38	9	-	-	NOUN
fcis-9451	38	10	domain	domain	ADJ
fcis-9451	38	11	image	image	NOUN
fcis-9451	38	12	to	to	ADP
fcis-9451	38	13	ydomain	ydomain	NOUN
fcis-9451	38	14	image	image	NOUN
fcis-9451	38	15	,	,	PUNCT
fcis-9451	38	16	and	and	CCONJ
fcis-9451	38	17	the	the	DET
fcis-9451	38	18	generator	generator	NOUN
fcis-9451	38	19	f	f	PROPN
fcis-9451	38	20	represents	represent	VERB
fcis-9451	38	21	the	the	DET
fcis-9451	38	22	mapping	mapping	NOUN
fcis-9451	38	23	of	of	ADP
fcis-9451	38	24	y	y	NOUN
fcis-9451	38	25	-	-	PUNCT
fcis-9451	38	26	domain	domain	NOUN
fcis-9451	38	27	image	image	NOUN
fcis-9451	38	28	to	to	ADP
fcis-9451	38	29	x	x	NOUN
fcis-9451	38	30	-	-	NOUN
fcis-9451	38	31	domain	domain	ADJ
fcis-9451	38	32	image	image	NOUN
fcis-9451	38	33	.	.	PUNCT
fcis-9451	39	1	dx	dx	PROPN
fcis-9451	39	2	discriminator	discriminator	PROPN
fcis-9451	39	3	discriminates	discriminate	VERB
fcis-9451	39	4	the	the	DET
fcis-9451	39	5	real	real	ADJ
fcis-9451	39	6	image	image	NOUN
fcis-9451	39	7	from	from	ADP
fcis-9451	39	8	x	x	NOUN
fcis-9451	39	9	-	-	NOUN
fcis-9451	39	10	domain	domain	NOUN
fcis-9451	39	11	and	and	CCONJ
fcis-9451	39	12	the	the	DET
fcis-9451	39	13	transformed	transform	VERB
fcis-9451	39	14	image	image	NOUN
fcis-9451	39	15	f(y	f(y	NOUN
fcis-9451	39	16	)	)	PUNCT
fcis-9451	39	17	;	;	PUNCT
fcis-9451	39	18	dy	dy	NOUN
fcis-9451	39	19	discriminator	discriminator	NOUN
fcis-9451	39	20	discriminates	discriminate	VERB
fcis-9451	39	21	the	the	DET
fcis-9451	39	22	real	real	ADJ
fcis-9451	39	23	image	image	NOUN
fcis-9451	39	24	from	from	ADP
fcis-9451	39	25	y	y	NOUN
fcis-9451	39	26	-	-	PUNCT
fcis-9451	39	27	domain	domain	NOUN
fcis-9451	39	28	and	and	CCONJ
fcis-9451	39	29	the	the	DET
fcis-9451	39	30	transformed	transform	VERB
fcis-9451	39	31	image	image	NOUN
fcis-9451	39	32	g(x	g(x	NOUN
fcis-9451	39	33	)	)	PUNCT
fcis-9451	39	34	.	.	PUNCT
fcis-9451	40	1	the	the	DET
fcis-9451	40	2	conversion	conversion	NOUN
fcis-9451	40	3	process	process	NOUN
fcis-9451	40	4	of	of	ADP
fcis-9451	40	5	the	the	DET
fcis-9451	40	6	image	image	NOUN
fcis-9451	40	7	from	from	ADP
fcis-9451	40	8	x	x	PUNCT
fcis-9451	40	9	domain	domain	NOUN
fcis-9451	40	10	image	image	NOUN
fcis-9451	40	11	to	to	ADP
fcis-9451	40	12	y	y	PROPN
fcis-9451	40	13	domain	domain	NOUN
fcis-9451	40	14	image	image	NOUN
fcis-9451	40	15	is	be	AUX
fcis-9451	40	16	explained	explain	VERB
fcis-9451	40	17	as	as	ADP
fcis-9451	40	18	an	an	DET
fcis-9451	40	19	example	example	NOUN
fcis-9451	40	20	.	.	PUNCT
fcis-9451	41	1	a	a	DET
fcis-9451	41	2	cyclic	cyclic	ADJ
fcis-9451	41	3	consistency	consistency	NOUN
fcis-9451	41	4	loss	loss	NOUN
fcis-9451	41	5	is	be	AUX
fcis-9451	41	6	introduced	introduce	VERB
fcis-9451	41	7	for	for	ADP
fcis-9451	41	8	the	the	DET
fcis-9451	41	9	image	image	NOUN
fcis-9451	41	10	x	x	PUNCT
fcis-9451	41	11	in	in	ADP
fcis-9451	41	12	the	the	DET
fcis-9451	41	13	x	x	X
fcis-9451	41	14	domain	domain	NOUN
fcis-9451	41	15	to	to	PART
fcis-9451	41	16	ensure	ensure	VERB
fcis-9451	41	17	that	that	SCONJ
fcis-9451	41	18	it	it	PRON
fcis-9451	41	19	can	can	AUX
fcis-9451	41	20	remain	remain	VERB
fcis-9451	41	21	relevant	relevant	ADJ
fcis-9451	41	22	to	to	ADP
fcis-9451	41	23	x	x	PUNCT
fcis-9451	41	24	after	after	ADP
fcis-9451	41	25	conversion	conversion	NOUN
fcis-9451	41	26	to	to	ADP
fcis-9451	41	27	the	the	DET
fcis-9451	41	28	y	y	PROPN
fcis-9451	41	29	domain	domain	NOUN
fcis-9451	41	30	.	.	PUNCT
fcis-9451	42	1	firstly	firstly	ADV
fcis-9451	42	2	,	,	PUNCT
fcis-9451	42	3	the	the	DET
fcis-9451	42	4	image	image	NOUN
fcis-9451	42	5	is	be	AUX
fcis-9451	42	6	converted	convert	VERB
fcis-9451	42	7	from	from	ADP
fcis-9451	42	8	the	the	DET
fcis-9451	42	9	x	x	PROPN
fcis-9451	42	10	domain	domain	NOUN
fcis-9451	42	11	to	to	ADP
fcis-9451	42	12	the	the	DET
fcis-9451	42	13	y	y	PROPN
fcis-9451	42	14	domain	domain	NOUN
fcis-9451	42	15	by	by	ADP
fcis-9451	42	16	the	the	DET
fcis-9451	42	17	generator	generator	NOUN
fcis-9451	42	18	g	g	PROPN
fcis-9451	42	19	,	,	PUNCT
fcis-9451	42	20	i.e.	i.e.	X
fcis-9451	42	21	,	,	PUNCT
fcis-9451	42	22	the	the	DET
fcis-9451	42	23	image	image	NOUN
fcis-9451	42	24	x	x	PUNCT
fcis-9451	42	25	is	be	AUX
fcis-9451	42	26	converted	convert	VERB
fcis-9451	42	27	to	to	ADP
fcis-9451	42	28	g(x	g(x	NOUN
fcis-9451	42	29	)	)	PUNCT
fcis-9451	42	30	.	.	PUNCT
fcis-9451	43	1	then	then	ADV
fcis-9451	43	2	,	,	PUNCT
fcis-9451	43	3	the	the	DET
fcis-9451	43	4	image	image	NOUN
fcis-9451	43	5	g(x	g(x	NOUN
fcis-9451	43	6	)	)	PUNCT
fcis-9451	43	7	converted	convert	VERB
fcis-9451	43	8	to	to	ADP
fcis-9451	43	9	the	the	DET
fcis-9451	43	10	y	y	PROPN
fcis-9451	43	11	domain	domain	NOUN
fcis-9451	43	12	is	be	AUX
fcis-9451	43	13	converted	convert	VERB
fcis-9451	43	14	back	back	ADV
fcis-9451	43	15	to	to	ADP
fcis-9451	43	16	the	the	DET
fcis-9451	43	17	x	x	X
fcis-9451	43	18	domain	domain	NOUN
fcis-9451	43	19	by	by	ADP
fcis-9451	43	20	the	the	DET
fcis-9451	43	21	generator	generator	NOUN
fcis-9451	43	22	f	f	PROPN
fcis-9451	43	23	,	,	PUNCT
fcis-9451	43	24	i.e.	i.e.	X
fcis-9451	43	25	,	,	PUNCT
fcis-9451	43	26	the	the	DET
fcis-9451	43	27	image	image	NOUN
fcis-9451	43	28	g(x	g(x	NOUN
fcis-9451	43	29	)	)	PUNCT
fcis-9451	43	30	is	be	AUX
fcis-9451	43	31	converted	convert	VERB
fcis-9451	43	32	to	to	ADP
fcis-9451	43	33	f(g(x	f(g(x	NOUN
fcis-9451	43	34	)	)	PUNCT
fcis-9451	43	35	)	)	PUNCT
fcis-9451	43	36	by	by	ADP
fcis-9451	43	37	the	the	DET
fcis-9451	43	38	generator	generator	PROPN
fcis-9451	43	39	f.	f.	PROPN
fcis-9451	43	40	for	for	ADP
fcis-9451	43	41	image	image	NOUN
fcis-9451	43	42	x	x	NOUN
fcis-9451	43	43	,	,	PUNCT
fcis-9451	43	44	f(g(x	f(g(x	NOUN
fcis-9451	43	45	)	)	PUNCT
fcis-9451	43	46	)	)	PUNCT
fcis-9451	44	1	≈	≈	PROPN
fcis-9451	44	2	x	x	PUNCT
fcis-9451	44	3	should	should	AUX
fcis-9451	44	4	be	be	AUX
fcis-9451	44	5	satisfied	satisfied	ADJ
fcis-9451	44	6	after	after	ADP
fcis-9451	44	7	two	two	NUM
fcis-9451	44	8	conversions	conversion	NOUN
fcis-9451	44	9	.	.	PUNCT
fcis-9451	45	1	2.2	2.2	NUM
fcis-9451	45	2	.	.	PUNCT
fcis-9451	46	1	embedding	embed	VERB
fcis-9451	46	2	senet	senet	NOUN
fcis-9451	46	3	module	module	NOUN
fcis-9451	46	4	in	in	ADP
fcis-9451	46	5	unet	unet	NOUN
fcis-9451	46	6	selfcoding	selfcode	VERB
fcis-9451	46	7	figure	figure	NOUN
fcis-9451	46	8	2	2	NUM
fcis-9451	46	9	.	.	PUNCT
fcis-9451	46	10	embedded	embed	VERB
fcis-9451	46	11	senet	senet	NOUN
fcis-9451	46	12	module	module	NOUN
fcis-9451	46	13	in	in	ADP
fcis-9451	46	14	unet	unet	NOUN
fcis-9451	46	15	self	self	NOUN
fcis-9451	46	16	-	-	PUNCT
fcis-9451	46	17	coding	code	VERB
fcis-9451	46	18	the	the	DET
fcis-9451	46	19	network	network	NOUN
fcis-9451	46	20	structure	structure	NOUN
fcis-9451	46	21	of	of	ADP
fcis-9451	46	22	embedding	embed	VERB
fcis-9451	46	23	senet	senet	NOUN
fcis-9451	46	24	module	module	NOUN
fcis-9451	46	25	in	in	ADP
fcis-9451	46	26	unet	unet	NOUN
fcis-9451	46	27	self	self	NOUN
fcis-9451	46	28	-	-	PUNCT
fcis-9451	46	29	coding	coding	NOUN
fcis-9451	46	30	is	be	AUX
fcis-9451	46	31	shown	show	VERB
fcis-9451	46	32	in	in	ADP
fcis-9451	46	33	fig	fig	NOUN
fcis-9451	46	34	.	.	PUNCT
fcis-9451	47	1	2	2	X
fcis-9451	47	2	.	.	X
fcis-9451	47	3	unet	unet	NOUN
fcis-9451	47	4	self	self	NOUN
fcis-9451	47	5	-	-	PUNCT
fcis-9451	47	6	coding	code	VERB
fcis-9451	47	7	compressively	compressively	ADV
fcis-9451	47	8	encodes	encode	VERB
fcis-9451	47	9	the	the	DET
fcis-9451	47	10	input	input	NOUN
fcis-9451	47	11	image	image	NOUN
fcis-9451	47	12	,	,	PUNCT
fcis-9451	47	13	and	and	CCONJ
fcis-9451	47	14	the	the	DET
fcis-9451	47	15	feature	feature	NOUN
fcis-9451	47	16	map	map	NOUN
fcis-9451	47	17	decreases	decrease	VERB
fcis-9451	47	18	continuously	continuously	ADV
fcis-9451	47	19	at	at	ADP
fcis-9451	47	20	this	this	DET
fcis-9451	47	21	time	time	NOUN
fcis-9451	47	22	.	.	PUNCT
fcis-9451	48	1	when	when	SCONJ
fcis-9451	48	2	the	the	DET
fcis-9451	48	3	feature	feature	NOUN
fcis-9451	48	4	map	map	NOUN
fcis-9451	48	5	reaches	reach	VERB
fcis-9451	48	6	a	a	DET
fcis-9451	48	7	minimum	minimum	NOUN
fcis-9451	48	8	,	,	PUNCT
fcis-9451	48	9	the	the	DET
fcis-9451	48	10	senet	senet	NOUN
fcis-9451	48	11	module	module	NOUN
fcis-9451	48	12	is	be	AUX
fcis-9451	48	13	embedded	embed	VERB
fcis-9451	48	14	to	to	PART
fcis-9451	48	15	enhance	enhance	VERB
fcis-9451	48	16	the	the	DET
fcis-9451	48	17	feature	feature	NOUN
fcis-9451	48	18	extraction	extraction	NOUN
fcis-9451	48	19	ability	ability	NOUN
fcis-9451	48	20	of	of	ADP
fcis-9451	48	21	the	the	DET
fcis-9451	48	22	model	model	NOUN
fcis-9451	48	23	;	;	PUNCT
fcis-9451	48	24	after	after	ADP
fcis-9451	48	25	up	up	ADP
fcis-9451	48	26	sampling	sample	VERB
fcis-9451	48	27	the	the	DET
fcis-9451	48	28	feature	feature	NOUN
fcis-9451	48	29	map	map	NOUN
fcis-9451	48	30	to	to	PART
fcis-9451	48	31	achieve	achieve	VERB
fcis-9451	48	32	cross	cross	ADJ
fcis-9451	48	33	-	-	ADJ
fcis-9451	48	34	domain	domain	ADJ
fcis-9451	48	35	conversion	conversion	NOUN
fcis-9451	48	36	of	of	ADP
fcis-9451	48	37	the	the	DET
fcis-9451	48	38	image	image	NOUN
fcis-9451	48	39	.	.	PUNCT
fcis-9451	49	1	2.3.the	2.3.the	DET
fcis-9451	49	2	model	model	NOUN
fcis-9451	49	3	is	be	AUX
fcis-9451	49	4	converted	convert	VERB
fcis-9451	49	5	into	into	ADP
fcis-9451	49	6	a	a	DET
fcis-9451	49	7	model	model	NOUN
fcis-9451	49	8	for	for	SCONJ
fcis-9451	49	9	permutation	permutation	NOUN
fcis-9451	49	10	supervised	supervise	VERB
fcis-9451	49	11	learning	learn	VERB
fcis-9451	49	12	cyclegan	cyclegan	NOUN
fcis-9451	49	13	constrains	constrain	VERB
fcis-9451	49	14	the	the	DET
fcis-9451	49	15	correlation	correlation	NOUN
fcis-9451	49	16	between	between	ADP
fcis-9451	49	17	the	the	DET
fcis-9451	49	18	generated	generate	VERB
fcis-9451	49	19	image	image	NOUN
fcis-9451	49	20	and	and	CCONJ
fcis-9451	49	21	the	the	DET
fcis-9451	49	22	input	input	NOUN
fcis-9451	49	23	image	image	NOUN
fcis-9451	49	24	by	by	ADP
fcis-9451	49	25	cyclic	cyclic	ADJ
fcis-9451	49	26	consistency	consistency	NOUN
fcis-9451	49	27	loss	loss	NOUN
fcis-9451	49	28	.	.	PUNCT
fcis-9451	50	1	the	the	DET
fcis-9451	50	2	literature	literature	NOUN
fcis-9451	50	3	[	[	X
fcis-9451	50	4	14	14	NUM
fcis-9451	50	5	]	]	PUNCT
fcis-9451	50	6	mentions	mention	VERB
fcis-9451	50	7	that	that	SCONJ
fcis-9451	50	8	there	there	PRON
fcis-9451	50	9	are	be	VERB
fcis-9451	50	10	hidden	hide	VERB
fcis-9451	50	11	problems	problem	NOUN
fcis-9451	50	12	with	with	ADP
fcis-9451	50	13	using	use	VERB
fcis-9451	50	14	cyclic	cyclic	ADJ
fcis-9451	50	15	consistency	consistency	NOUN
fcis-9451	50	16	loss	loss	NOUN
fcis-9451	50	17	for	for	ADP
fcis-9451	50	18	this	this	DET
fcis-9451	50	19	reason	reason	NOUN
fcis-9451	50	20	,	,	PUNCT
fcis-9451	50	21	here	here	ADV
fcis-9451	50	22	the	the	DET
fcis-9451	50	23	model	model	NOUN
fcis-9451	50	24	is	be	AUX
fcis-9451	50	25	converted	convert	VERB
fcis-9451	50	26	to	to	ADP
fcis-9451	50	27	a	a	DET
fcis-9451	50	28	supervised	supervised	ADJ
fcis-9451	50	29	learning	learning	NOUN
fcis-9451	50	30	model	model	NOUN
fcis-9451	50	31	to	to	PART
fcis-9451	50	32	improve	improve	VERB
fcis-9451	50	33	the	the	DET
fcis-9451	50	34	quality	quality	NOUN
fcis-9451	50	35	of	of	ADP
fcis-9451	50	36	the	the	DET
fcis-9451	50	37	generated	generate	VERB
fcis-9451	50	38	avatars	avatar	NOUN
fcis-9451	50	39	.	.	PUNCT
fcis-9451	51	1	2.4	2.4	NUM
fcis-9451	51	2	.	.	PUNCT
fcis-9451	52	1	loss	loss	NOUN
fcis-9451	52	2	function	function	NOUN
fcis-9451	52	3	2.4.1	2.4.1	NUM
fcis-9451	52	4	.	.	PUNCT
fcis-9451	53	1	image	image	NOUN
fcis-9451	53	2	space	space	NOUN
fcis-9451	53	3	constraint	constraint	NOUN
fcis-9451	53	4	for	for	ADP
fcis-9451	53	5	generated	generate	VERB
fcis-9451	53	6	avatar	avatar	NOUN
fcis-9451	53	7	and	and	CCONJ
fcis-9451	53	8	real	real	ADJ
fcis-9451	53	9	avatar	avatar	NOUN
fcis-9451	53	10	to	to	PART
fcis-9451	53	11	alleviate	alleviate	VERB
fcis-9451	53	12	the	the	DET
fcis-9451	53	13	cyclic	cyclic	ADJ
fcis-9451	53	14	consistency	consistency	NOUN
fcis-9451	53	15	loss	loss	NOUN
fcis-9451	53	16	constraint	constraint	NOUN
fcis-9451	53	17	,	,	PUNCT
fcis-9451	53	18	which	which	PRON
fcis-9451	53	19	brings	bring	VERB
fcis-9451	53	20	about	about	ADP
fcis-9451	53	21	the	the	DET
fcis-9451	53	22	problem	problem	NOUN
fcis-9451	53	23	of	of	ADP
fcis-9451	53	24	feature	feature	NOUN
fcis-9451	53	25	hiding	hiding	NOUN
fcis-9451	53	26	of	of	ADP
fcis-9451	53	27	generated	generate	VERB
fcis-9451	53	28	images	image	NOUN
fcis-9451	53	29	,	,	PUNCT
fcis-9451	53	30	image	image	NOUN
fcis-9451	53	31	l1	l1	PROPN
fcis-9451	53	32	constraint	constraint	NOUN
fcis-9451	53	33	is	be	AUX
fcis-9451	53	34	added	add	VERB
fcis-9451	53	35	to	to	ADP
fcis-9451	53	36	generated	generate	VERB
fcis-9451	53	37	avatars	avatar	NOUN
fcis-9451	53	38	and	and	CCONJ
fcis-9451	53	39	real	real	ADJ
fcis-9451	53	40	avatars	avatar	NOUN
fcis-9451	53	41	.	.	PUNCT
fcis-9451	54	1	l1	l1	PROPN
fcis-9451	54	2	constraint	constraint	PROPN
fcis-9451	54	3	is	be	AUX
fcis-9451	54	4	calculated	calculate	VERB
fcis-9451	54	5	as	as	ADP
fcis-9451	54	6	(	(	PUNCT
fcis-9451	54	7	)	)	PUNCT
fcis-9451	54	8	1	1	NUM
fcis-9451	54	9	(	(	PUNCT
fcis-9451	54	10	)	)	PUNCT
fcis-9451	54	11	ixy	ixy	NOUN
fcis-9451	54	12	xy	xy	PUNCT
fcis-9451	55	1	x	x	X
fcis-9451	56	1	p	p	X
fcis-9451	56	2	x	x	X
fcis-9451	56	3	i	i	PRON
fcis-9451	56	4	ig	ig	VERB
fcis-9451	56	5	x	x	SYM
fcis-9451	56	6	y	y	PROPN
fcis-9451	56	7			SYM
fcis-9451	56	8			ADJ
fcis-9451	56	9			PROPN
fcis-9451	56	10	(	(	PUNCT
fcis-9451	56	11	1	1	NUM
fcis-9451	56	12	)	)	PUNCT
fcis-9451	56	13	(	(	PUNCT
fcis-9451	56	14	)	)	PUNCT
fcis-9451	56	15	1	1	NUM
fcis-9451	56	16	(	(	PUNCT
fcis-9451	56	17	)	)	PUNCT
fcis-9451	56	18	iyx	iyx	NOUN
fcis-9451	57	1	yx	yx	INTJ
fcis-9451	57	2	y	y	PROPN
fcis-9451	57	3	q	q	PROPN
fcis-9451	58	1	y	y	INTJ
fcis-9451	58	2	i	i	PRON
fcis-9451	58	3	if	if	SCONJ
fcis-9451	58	4	y	y	PROPN
fcis-9451	58	5	x	x	PROPN
fcis-9451	58	6			NOUN
fcis-9451	59	1			ADJ
fcis-9451	59	2			PROPN
fcis-9451	59	3	(	(	PUNCT
fcis-9451	59	4	2	2	NUM
fcis-9451	59	5	)	)	PUNCT
fcis-9451	59	6	where	where	SCONJ
fcis-9451	59	7	:	:	PUNCT
fcis-9451	59	8	λxy	λxy	NOUN
fcis-9451	59	9	and	and	CCONJ
fcis-9451	59	10	λyx	λyx	PROPN
fcis-9451	59	11	are	be	AUX
fcis-9451	59	12	the	the	DET
fcis-9451	59	13	weighting	weighting	NOUN
fcis-9451	59	14	coefficients	coefficient	NOUN
fcis-9451	59	15	.	.	PUNCT
fcis-9451	60	1	2.4.2	2.4.2	NUM
fcis-9451	60	2	.	.	PUNCT
fcis-9451	61	1	generating	generate	VERB
fcis-9451	61	2	the	the	DET
fcis-9451	61	3	adversarial	adversarial	ADJ
fcis-9451	61	4	loss	loss	NOUN
fcis-9451	61	5	using	use	VERB
fcis-9451	61	6	the	the	DET
fcis-9451	61	7	least	least	ADJ
fcis-9451	61	8	squares	square	NOUN
fcis-9451	61	9	loss	loss	NOUN
fcis-9451	61	10	as	as	SCONJ
fcis-9451	61	11	the	the	DET
fcis-9451	61	12	adversarial	adversarial	ADJ
fcis-9451	61	13	loss	loss	NOUN
fcis-9451	61	14	of	of	ADP
fcis-9451	61	15	the	the	DET
fcis-9451	61	16	gan	gan	PROPN
fcis-9451	61	17	leads	lead	VERB
fcis-9451	61	18	to	to	ADP
fcis-9451	61	19	a	a	DET
fcis-9451	61	20	more	more	ADV
fcis-9451	61	21	stable	stable	ADJ
fcis-9451	61	22	training	training	NOUN
fcis-9451	61	23	process	process	NOUN
fcis-9451	61	24	of	of	ADP
fcis-9451	61	25	the	the	DET
fcis-9451	61	26	model	model	NOUN
fcis-9451	61	27	.	.	PUNCT
fcis-9451	62	1	therefore	therefore	ADV
fcis-9451	62	2	,	,	PUNCT
fcis-9451	62	3	the	the	DET
fcis-9451	62	4	gan	gan	ADJ
fcis-9451	62	5	loss	loss	NOUN
fcis-9451	62	6	function	function	NOUN
fcis-9451	62	7	of	of	ADP
fcis-9451	62	8	the	the	DET
fcis-9451	62	9	model	model	NOUN
fcis-9451	62	10	is	be	AUX
fcis-9451	62	11	:	:	PUNCT
fcis-9451	62	12			PROPN
fcis-9451	62	13			NOUN
fcis-9451	62	14			PROPN
fcis-9451	62	15			PROPN
fcis-9451	62	16			PROPN
fcis-9451	62	17			NOUN
fcis-9451	62	18			PROPN
fcis-9451	62	19			PUNCT
fcis-9451	63	1	_	_	PUNCT
fcis-9451	63	2	(	(	PUNCT
fcis-9451	63	3	)	)	PUNCT
fcis-9451	63	4	(	(	PUNCT
fcis-9451	63	5	)	)	PUNCT
fcis-9451	63	6	(	(	PUNCT
fcis-9451	63	7	,	,	PUNCT
fcis-9451	63	8	,	,	PUNCT
fcis-9451	63	9	)	)	PUNCT
fcis-9451	63	10	(	(	PUNCT
fcis-9451	63	11	,	,	PUNCT
fcis-9451	63	12	,	,	PUNCT
fcis-9451	63	13	,	,	PUNCT
fcis-9451	63	14	)	)	PUNCT
fcis-9451	63	15	(	(	PUNCT
fcis-9451	63	16	,	,	PUNCT
fcis-9451	63	17	,	,	PUNCT
fcis-9451	63	18	,	,	PUNCT
fcis-9451	63	19	)	)	PUNCT
fcis-9451	63	20	log	log	VERB
fcis-9451	63	21	1	1	NUM
fcis-9451	63	22	log	log	NOUN
fcis-9451	63	23	1	1	NUM
fcis-9451	64	1	i	i	PRON
fcis-9451	65	1	i	i	PRON
fcis-9451	65	2	c	c	PROPN
fcis-9451	65	3	gan	gan	PROPN
fcis-9451	65	4	gan	gan	PROPN
fcis-9451	65	5	y	y	PROPN
fcis-9451	65	6	gan	gan	PROPN
fcis-9451	65	7	x	x	PUNCT
fcis-9451	66	1	x	x	X
fcis-9451	66	2	p	p	X
fcis-9451	66	3	x	x	X
fcis-9451	66	4	x	x	PUNCT
fcis-9451	67	1	i	i	NOUN
fcis-9451	67	2	y	y	NOUN
fcis-9451	67	3	p	p	NOUN
fcis-9451	67	4	x	x	X
fcis-9451	67	5	x	x	VERB
fcis-9451	68	1	i	i	PRON
fcis-9451	68	2	g	g	NOUN
fcis-9451	69	1	f	f	PROPN
fcis-9451	69	2	d	d	X
fcis-9451	69	3	g	g	PROPN
fcis-9451	69	4	d	d	X
fcis-9451	69	5	x	x	X
fcis-9451	70	1	y	y	NOUN
fcis-9451	70	2	f	f	PROPN
fcis-9451	71	1	d	d	X
fcis-9451	71	2	y	y	PROPN
fcis-9451	71	3	x	x	PUNCT
fcis-9451	72	1	d	d	X
fcis-9451	72	2	g	g	NOUN
fcis-9451	72	3	x	x	PROPN
fcis-9451	72	4	d	d	X
fcis-9451	72	5	f	f	X
fcis-9451	72	6	y	y	PROPN
fcis-9451	72	7			PROPN
fcis-9451	72	8			PROPN
fcis-9451	73	1			PROPN
fcis-9451	73	2			PROPN
fcis-9451	73	3			PROPN
fcis-9451	73	4			PROPN
fcis-9451	73	5			PROPN
fcis-9451	73	6			PROPN
fcis-9451	73	7			PROPN
fcis-9451	73	8			PROPN
fcis-9451	73	9			NOUN
fcis-9451	73	10			NOUN
fcis-9451	73	11			NOUN
fcis-9451	73	12			NOUN
fcis-9451	73	13			PROPN
fcis-9451	73	14			ADJ
fcis-9451	73	15			ADJ
fcis-9451	73	16			PROPN
fcis-9451	73	17			PROPN
fcis-9451	73	18	(	(	PUNCT
fcis-9451	73	19	3	3	X
fcis-9451	73	20	)	)	PUNCT
fcis-9451	73	21	2.4.3	2.4.3	NUM
fcis-9451	73	22	.	.	PUNCT
fcis-9451	73	23	cyclic	cyclic	ADJ
fcis-9451	73	24	consistency	consistency	NOUN
fcis-9451	73	25	loss	loss	NOUN
fcis-9451	73	26	for	for	ADP
fcis-9451	73	27	each	each	DET
fcis-9451	73	28	face	face	NOUN
fcis-9451	73	29	avatar	avatar	NOUN
fcis-9451	73	30	xi	xi	ADP
fcis-9451	73	31	in	in	ADP
fcis-9451	73	32	the	the	DET
fcis-9451	73	33	x	x	PROPN
fcis-9451	73	34	domain	domain	NOUN
fcis-9451	73	35	mapped	map	VERB
fcis-9451	73	36	by	by	ADP
fcis-9451	73	37	the	the	DET
fcis-9451	73	38	generator	generator	NOUN
fcis-9451	73	39	g	g	PROPN
fcis-9451	73	40	and	and	CCONJ
fcis-9451	73	41	then	then	ADV
fcis-9451	73	42	mapped	map	VERB
fcis-9451	73	43	by	by	ADP
fcis-9451	73	44	the	the	DET
fcis-9451	73	45	generator	generator	NOUN
fcis-9451	73	46	f	f	PROPN
fcis-9451	73	47	should	should	AUX
fcis-9451	73	48	be	be	AUX
fcis-9451	73	49	as	as	ADV
fcis-9451	73	50	consistent	consistent	ADJ
fcis-9451	73	51	as	as	ADP
fcis-9451	73	52	possible	possible	ADJ
fcis-9451	73	53	with	with	ADP
fcis-9451	73	54	the	the	DET
fcis-9451	73	55	original	original	ADJ
fcis-9451	73	56	image	image	NOUN
fcis-9451	73	57	xi	xi	PROPN
fcis-9451	73	58	.	.	PUNCT
fcis-9451	74	1	similarly	similarly	ADV
fcis-9451	74	2	,	,	PUNCT
fcis-9451	74	3	the	the	DET
fcis-9451	74	4	same	same	ADJ
fcis-9451	74	5	is	be	AUX
fcis-9451	74	6	true	true	ADJ
fcis-9451	74	7	for	for	ADP
fcis-9451	74	8	each	each	DET
fcis-9451	74	9	face	face	NOUN
fcis-9451	74	10	avatar	avatar	NOUN
fcis-9451	74	11	yi	yi	NOUN
fcis-9451	74	12	in	in	ADP
fcis-9451	74	13	the	the	DET
fcis-9451	74	14	y	y	PROPN
fcis-9451	74	15	domain	domain	NOUN
fcis-9451	74	16	.	.	PUNCT
fcis-9451	75	1	the	the	DET
fcis-9451	75	2	cyclic	cyclic	ADJ
fcis-9451	75	3	consistency	consistency	NOUN
fcis-9451	75	4	loss	loss	NOUN
fcis-9451	75	5	is	be	AUX
fcis-9451	75	6	calculated	calculate	VERB
fcis-9451	75	7	as	as	ADP
fcis-9451	75	8	(	(	PUNCT
fcis-9451	75	9	)	)	PUNCT
fcis-9451	75	10	1	1	NUM
fcis-9451	75	11	(	(	PUNCT
fcis-9451	75	12	(	(	PUNCT
fcis-9451	75	13	)	)	PUNCT
fcis-9451	75	14	)	)	PUNCT
fcis-9451	75	15	icyc	icyc	VERB
fcis-9451	75	16	cyc	cyc	PROPN
fcis-9451	76	1	y	y	PROPN
fcis-9451	77	1	q	q	PROPN
fcis-9451	78	1	x	x	PUNCT
fcis-9451	79	1	i	i	PRON
fcis-9451	80	1	ig	ig	PROPN
fcis-9451	80	2	f	f	PROPN
fcis-9451	80	3	y	y	PROPN
fcis-9451	80	4	y	y	PROPN
fcis-9451	80	5			NOUN
fcis-9451	80	6			ADJ
fcis-9451	80	7			PROPN
fcis-9451	80	8	(	(	PUNCT
fcis-9451	80	9	4	4	NUM
fcis-9451	80	10	)	)	PUNCT
fcis-9451	80	11	(	(	PUNCT
fcis-9451	80	12	)	)	PUNCT
fcis-9451	80	13	1	1	NUM
fcis-9451	80	14	(	(	PUNCT
fcis-9451	80	15	(	(	PUNCT
fcis-9451	80	16	)	)	PUNCT
fcis-9451	80	17	)	)	PUNCT
fcis-9451	80	18	icxc	icxc	PROPN
fcis-9451	80	19	cxc	cxc	PROPN
fcis-9451	81	1	x	x	X
fcis-9451	81	2	p	p	X
fcis-9451	81	3	x	x	X
fcis-9451	81	4	i	i	PRON
fcis-9451	81	5	if	if	SCONJ
fcis-9451	81	6	g	g	PROPN
fcis-9451	81	7	x	x	X
fcis-9451	81	8	x	x	PROPN
fcis-9451	81	9			NOUN
fcis-9451	82	1			ADJ
fcis-9451	82	2			PROPN
fcis-9451	82	3	(	(	PUNCT
fcis-9451	82	4	5	5	NUM
fcis-9451	82	5	)	)	PUNCT
fcis-9451	82	6	where	where	SCONJ
fcis-9451	82	7	:	:	PUNCT
fcis-9451	82	8	λcyc	λcyc	NOUN
fcis-9451	82	9	and	and	CCONJ
fcis-9451	82	10	λcxc	λcxc	NOUN
fcis-9451	82	11	are	be	AUX
fcis-9451	82	12	the	the	DET
fcis-9451	82	13	weight	weight	NOUN
fcis-9451	82	14	coefficients	coefficient	NOUN
fcis-9451	82	15	.	.	PUNCT
fcis-9451	83	1	2.4.4	2.4.4	NUM
fcis-9451	83	2	.	.	PUNCT
fcis-9451	83	3	ontology	ontology	NOUN
fcis-9451	83	4	mapping	mapping	NOUN
fcis-9451	83	5	loss	loss	NOUN
fcis-9451	83	6	(	(	PUNCT
fcis-9451	83	7	identity	identity	NOUN
fcis-9451	83	8	loss	loss	NOUN
fcis-9451	83	9	)	)	PUNCT
fcis-9451	83	10	loss	loss	NOUN
fcis-9451	83	11	for	for	ADP
fcis-9451	83	12	each	each	DET
fcis-9451	83	13	face	face	NOUN
fcis-9451	83	14	avatar	avatar	NOUN
fcis-9451	83	15	xi	xi	ADP
fcis-9451	83	16	in	in	ADP
fcis-9451	83	17	the	the	DET
fcis-9451	83	18	x	x	NOUN
fcis-9451	83	19	domain	domain	NOUN
fcis-9451	83	20	,	,	PUNCT
fcis-9451	83	21	it	it	PRON
fcis-9451	83	22	should	should	AUX
fcis-9451	83	23	be	be	AUX
fcis-9451	83	24	as	as	ADV
fcis-9451	83	25	consistent	consistent	ADJ
fcis-9451	83	26	as	as	ADP
fcis-9451	83	27	possible	possible	ADJ
fcis-9451	83	28	with	with	ADP
fcis-9451	83	29	xi	xi	PRON
fcis-9451	83	30	after	after	ADP
fcis-9451	83	31	being	be	AUX
fcis-9451	83	32	transformed	transform	VERB
fcis-9451	83	33	by	by	ADP
fcis-9451	83	34	the	the	DET
fcis-9451	83	35	generator	generator	PROPN
fcis-9451	83	36	f.	f.	PROPN
fcis-9451	83	37	similarly	similarly	ADV
fcis-9451	83	38	,	,	PUNCT
fcis-9451	83	39	for	for	ADP
fcis-9451	83	40	each	each	DET
fcis-9451	83	41	face	face	NOUN
fcis-9451	83	42	avatar	avatar	ADJ
fcis-9451	83	43	yi	yi	NOUN
fcis-9451	83	44	in	in	ADP
fcis-9451	83	45	domain	domain	PROPN
fcis-9451	83	46	y	y	PROPN
fcis-9451	83	47	,	,	PUNCT
fcis-9451	83	48	the	the	DET
fcis-9451	83	49	same	same	ADJ
fcis-9451	83	50	is	be	AUX
fcis-9451	83	51	true	true	ADJ
fcis-9451	83	52	.	.	PUNCT
fcis-9451	84	1	the	the	DET
fcis-9451	84	2	ontology	ontology	NOUN
fcis-9451	84	3	mapping	mapping	NOUN
fcis-9451	84	4	loss	loss	NOUN
fcis-9451	84	5	is	be	AUX
fcis-9451	84	6	calculated	calculate	VERB
fcis-9451	84	7	as	as	ADP
fcis-9451	84	8	(	(	PUNCT
fcis-9451	84	9	)	)	PUNCT
fcis-9451	84	10	1	1	NUM
fcis-9451	84	11	(	(	PUNCT
fcis-9451	84	12	)	)	PUNCT
fcis-9451	84	13	iyc	iyc	INTJ
fcis-9451	85	1	yc	yc	INTJ
fcis-9451	85	2	y	y	PROPN
fcis-9451	85	3	q	q	PROPN
fcis-9451	86	1	x	x	INTJ
fcis-9451	86	2	i	i	PRON
fcis-9451	86	3	ig	ig	PROPN
fcis-9451	86	4	y	y	PROPN
fcis-9451	86	5	y	y	PROPN
fcis-9451	86	6			SYM
fcis-9451	86	7			ADJ
fcis-9451	86	8			PROPN
fcis-9451	86	9	(	(	PUNCT
fcis-9451	86	10	6	6	NUM
fcis-9451	86	11	)	)	PUNCT
fcis-9451	86	12	(	(	PUNCT
fcis-9451	86	13	)	)	PUNCT
fcis-9451	86	14	1	1	NUM
fcis-9451	86	15	(	(	PUNCT
fcis-9451	86	16	)	)	PUNCT
fcis-9451	86	17	ixc	ixc	PROPN
fcis-9451	87	1	xc	xc	PROPN
fcis-9451	88	1	x	x	PROPN
fcis-9451	89	1	p	p	X
fcis-9451	89	2	x	x	X
fcis-9451	89	3	i	i	PRON
fcis-9451	89	4	if	if	SCONJ
fcis-9451	89	5	x	x	PRON
fcis-9451	89	6	x	x	PROPN
fcis-9451	89	7			NOUN
fcis-9451	89	8			ADJ
fcis-9451	89	9			PROPN
fcis-9451	89	10	(	(	PUNCT
fcis-9451	89	11	7	7	NUM
fcis-9451	89	12	)	)	PUNCT
fcis-9451	89	13	where	where	SCONJ
fcis-9451	89	14	:	:	PUNCT
fcis-9451	89	15	λyc	λyc	NOUN
fcis-9451	89	16	and	and	CCONJ
fcis-9451	89	17	λxc	λxc	NOUN
fcis-9451	89	18	are	be	AUX
fcis-9451	89	19	the	the	DET
fcis-9451	89	20	weight	weight	NOUN
fcis-9451	89	21	coefficients	coefficient	NOUN
fcis-9451	89	22	.	.	PUNCT
fcis-9451	90	1	2.4.5	2.4.5	NUM
fcis-9451	90	2	.	.	PUNCT
fcis-9451	91	1	the	the	DET
fcis-9451	91	2	total	total	ADJ
fcis-9451	91	3	loss	loss	NOUN
fcis-9451	91	4	function	function	NOUN
fcis-9451	91	5	of	of	ADP
fcis-9451	91	6	the	the	DET
fcis-9451	91	7	improved	improved	ADJ
fcis-9451	91	8	model	model	NOUN
fcis-9451	91	9	in	in	ADP
fcis-9451	91	10	summary	summary	NOUN
fcis-9451	91	11	:	:	PUNCT
fcis-9451	91	12	the	the	DET
fcis-9451	91	13	total	total	ADJ
fcis-9451	91	14	loss	loss	NOUN
fcis-9451	91	15	function	function	NOUN
fcis-9451	91	16	of	of	ADP
fcis-9451	91	17	the	the	DET
fcis-9451	91	18	improved	improved	ADJ
fcis-9451	91	19	model	model	NOUN
fcis-9451	91	20	is	be	AUX
fcis-9451	91	21	_	_	PROPN
fcis-9451	91	22	c	c	PROPN
fcis-9451	91	23	gantotal	gantotal	PROPN
fcis-9451	91	24	cyc	cyc	PROPN
fcis-9451	91	25	cyc	cyc	PROPN
fcis-9451	92	1	yx	yx	PROPN
fcis-9451	92	2	xy	xy	PROPN
fcis-9451	93	1	yc	yc	PROPN
fcis-9451	93	2	xc	xc	PROPN
fcis-9451	93	3	sx	sx	PROPN
fcis-9451	93	4	sy	sy	PROPN
fcis-9451	93	5			ADV
fcis-9451	93	6			VERB
fcis-9451	93	7			PROPN
fcis-9451	93	8			PROPN
fcis-9451	93	9			PROPN
fcis-9451	93	10			PUNCT
fcis-9451	93	11			PUNCT
fcis-9451	93	12			ADJ
fcis-9451	93	13			NOUN
fcis-9451	93	14			NOUN
fcis-9451	93	15			NOUN
fcis-9451	93	16			NOUN
fcis-9451	93	17			NOUN
fcis-9451	93	18			NOUN
fcis-9451	93	19			NOUN
fcis-9451	93	20			NOUN
fcis-9451	93	21			NOUN
fcis-9451	93	22	(	(	PUNCT
fcis-9451	93	23	8)	8)	NUM
fcis-9451	93	24	3	3	NUM
fcis-9451	93	25	.	.	PUNCT
fcis-9451	93	26	experimental	experimental	ADJ
fcis-9451	93	27	setup	setup	NOUN
fcis-9451	93	28	,	,	PUNCT
fcis-9451	93	29	results	result	NOUN
fcis-9451	93	30	and	and	CCONJ
fcis-9451	93	31	analysis	analysis	NOUN
fcis-9451	93	32	to	to	PART
fcis-9451	93	33	verify	verify	VERB
fcis-9451	93	34	the	the	DET
fcis-9451	93	35	effectiveness	effectiveness	NOUN
fcis-9451	93	36	of	of	ADP
fcis-9451	93	37	the	the	DET
fcis-9451	93	38	method	method	NOUN
fcis-9451	93	39	in	in	ADP
fcis-9451	93	40	this	this	DET
fcis-9451	93	41	paper	paper	NOUN
fcis-9451	93	42	,	,	PUNCT
fcis-9451	93	43	comparative	comparative	ADJ
fcis-9451	93	44	experiments	experiment	NOUN
fcis-9451	93	45	with	with	ADP
fcis-9451	93	46	different	different	ADJ
fcis-9451	93	47	models	model	NOUN
fcis-9451	93	48	are	be	AUX
fcis-9451	93	49	conducted	conduct	VERB
fcis-9451	93	50	in	in	ADP
fcis-9451	93	51	the	the	DET
fcis-9451	93	52	cuhk	cuhk	NOUN
fcis-9451	93	53	student	student	NOUN
fcis-9451	93	54	face	face	NOUN
fcis-9451	93	55	dataset	dataset	NOUN
fcis-9451	93	56	.	.	PUNCT
fcis-9451	94	1	3.1	3.1	NUM
fcis-9451	94	2	.	.	PUNCT
fcis-9451	94	3	data	datum	NOUN
fcis-9451	94	4	set	set	VERB
fcis-9451	94	5	introduction	introduction	NOUN
fcis-9451	94	6	there	there	PRON
fcis-9451	94	7	are	be	VERB
fcis-9451	94	8	188	188	NUM
fcis-9451	94	9	sketched	sketched	NOUN
fcis-9451	94	10	face	face	NOUN
fcis-9451	94	11	avatars	avatar	NOUN
fcis-9451	94	12	in	in	ADP
fcis-9451	94	13	the	the	DET
fcis-9451	94	14	cuhk	cuhk	NOUN
fcis-9451	94	15	student	student	NOUN
fcis-9451	94	16	dataset	dataset	NOUN
fcis-9451	94	17	.	.	PUNCT
fcis-9451	95	1	88	88	NUM
fcis-9451	95	2	were	be	AUX
fcis-9451	95	3	selected	select	VERB
fcis-9451	95	4	as	as	ADP
fcis-9451	95	5	the	the	DET
fcis-9451	95	6	training	training	NOUN
fcis-9451	95	7	set	set	NOUN
fcis-9451	95	8	and	and	CCONJ
fcis-9451	95	9	100	100	NUM
fcis-9451	95	10	as	as	ADP
fcis-9451	95	11	the	the	DET
fcis-9451	95	12	test	test	NOUN
fcis-9451	95	13	set	set	NOUN
fcis-9451	95	14	.	.	PUNCT
fcis-9451	96	1	the	the	DET
fcis-9451	96	2	sketch	sketch	ADJ
fcis-9451	96	3	images	image	NOUN
fcis-9451	96	4	are	be	AUX
fcis-9451	96	5	drawn	draw	VERB
fcis-9451	96	6	from	from	ADP
fcis-9451	96	7	real	real	ADJ
fcis-9451	96	8	face	face	NOUN
fcis-9451	96	9	heads	head	NOUN
fcis-9451	96	10	of	of	ADP
fcis-9451	96	11	artists	artist	NOUN
fcis-9451	96	12	.	.	PUNCT
fcis-9451	97	1	3.2	3.2	NUM
fcis-9451	97	2	.	.	PUNCT
fcis-9451	97	3	evaluation	evaluation	NOUN
fcis-9451	97	4	metrics	metric	NOUN
fcis-9451	97	5	structural	structural	ADJ
fcis-9451	97	6	similarity	similarity	NOUN
fcis-9451	97	7	(	(	PUNCT
fcis-9451	97	8	ssim	ssim	NOUN
fcis-9451	97	9	)	)	PUNCT
fcis-9451	98	1	[	[	X
fcis-9451	98	2	15	15	NUM
fcis-9451	98	3	]	]	PUNCT
fcis-9451	98	4	,	,	PUNCT
fcis-9451	98	5	is	be	AUX
fcis-9451	98	6	a	a	DET
fcis-9451	98	7	metric	metric	NOUN
fcis-9451	98	8	to	to	PART
fcis-9451	98	9	measure	measure	VERB
fcis-9451	98	10	the	the	DET
fcis-9451	98	11	similarity	similarity	NOUN
fcis-9451	98	12	of	of	ADP
fcis-9451	98	13	two	two	NUM
fcis-9451	98	14	images	image	NOUN
fcis-9451	98	15	.	.	PUNCT
fcis-9451	99	1	the	the	PRON
fcis-9451	99	2	larger	large	ADJ
fcis-9451	99	3	the	the	DET
fcis-9451	99	4	ssim	ssim	NOUN
fcis-9451	99	5	value	value	NOUN
fcis-9451	99	6	is	be	AUX
fcis-9451	99	7	,	,	PUNCT
fcis-9451	99	8	the	the	PRON
fcis-9451	99	9	more	more	ADV
fcis-9451	99	10	realistic	realistic	ADJ
fcis-9451	99	11	the	the	DET
fcis-9451	99	12	generated	generate	VERB
fcis-9451	99	13	image	image	NOUN
fcis-9451	99	14	is	be	AUX
fcis-9451	99	15	to	to	ADP
fcis-9451	99	16	the	the	DET
fcis-9451	99	17	real	real	ADJ
fcis-9451	99	18	image	image	NOUN
fcis-9451	99	19	.	.	PUNCT
fcis-9451	100	1	3.3	3.3	NUM
fcis-9451	100	2	.	.	PUNCT
fcis-9451	101	1	experimental	experimental	ADJ
fcis-9451	101	2	setup	setup	NOUN
fcis-9451	101	3	3.3.1	3.3.1	NUM
fcis-9451	101	4	.	.	PUNCT
fcis-9451	101	5	experimental	experimental	ADJ
fcis-9451	101	6	environment	environment	NOUN
fcis-9451	101	7	setup	setup	VERB
fcis-9451	101	8	the	the	DET
fcis-9451	101	9	experiments	experiment	NOUN
fcis-9451	101	10	are	be	AUX
fcis-9451	101	11	conducted	conduct	VERB
fcis-9451	101	12	under	under	ADP
fcis-9451	101	13	the	the	DET
fcis-9451	101	14	windows	window	NOUN
fcis-9451	101	15	10	10	NUM
fcis-9451	101	16	system	system	NOUN
fcis-9451	101	17	environment	environment	NOUN
fcis-9451	101	18	,	,	PUNCT
fcis-9451	101	19	the	the	DET
fcis-9451	101	20	gpu	gpu	NOUN
fcis-9451	101	21	is	be	AUX
fcis-9451	101	22	nvidia	nvidia	PROPN
fcis-9451	101	23	geforce	geforce	NOUN
fcis-9451	101	24	rtx	rtx	PROPN
fcis-9451	101	25	3060	3060	NUM
fcis-9451	101	26	,	,	PUNCT
fcis-9451	101	27	the	the	DET
fcis-9451	101	28	display	display	NOUN
fcis-9451	101	29	size	size	NOUN
fcis-9451	101	30	is	be	AUX
fcis-9451	101	31	12	12	NUM
fcis-9451	101	32	gb	gb	NOUN
fcis-9451	101	33	,	,	PUNCT
fcis-9451	101	34	the	the	DET
fcis-9451	101	35	cpu	cpu	NOUN
fcis-9451	101	36	is	be	AUX
fcis-9451	101	37	intel(r	intel(r	NOUN
fcis-9451	101	38	)	)	PUNCT
fcis-9451	101	39	core	core	NOUN
fcis-9451	101	40	(	(	PUNCT
fcis-9451	101	41	tm	tm	NOUN
fcis-9451	101	42	)	)	PUNCT
fcis-9451	101	43	i7	i7	ADJ
fcis-9451	101	44	62	62	NUM
fcis-9451	101	45	4770	4770	NUM
fcis-9451	101	46	,	,	PUNCT
fcis-9451	101	47	and	and	CCONJ
fcis-9451	101	48	the	the	DET
fcis-9451	101	49	deep	deep	ADJ
fcis-9451	101	50	learning	learning	NOUN
fcis-9451	101	51	framework	framework	NOUN
fcis-9451	101	52	of	of	ADP
fcis-9451	101	53	pytorch	pytorch	NOUN
fcis-9451	101	54	is	be	AUX
fcis-9451	101	55	used	use	VERB
fcis-9451	101	56	.	.	PUNCT
fcis-9451	102	1	3.3.2	3.3.2	X
fcis-9451	102	2	.	.	PUNCT
fcis-9451	102	3	experimental	experimental	ADJ
fcis-9451	102	4	parameter	parameter	NOUN
fcis-9451	102	5	settings	setting	NOUN
fcis-9451	102	6	in	in	ADP
fcis-9451	102	7	the	the	DET
fcis-9451	102	8	cuhk	cuhk	NOUN
fcis-9451	102	9	student	student	NOUN
fcis-9451	102	10	face	face	VERB
fcis-9451	102	11	dataset	dataset	NOUN
fcis-9451	102	12	training	training	NOUN
fcis-9451	102	13	,	,	PUNCT
fcis-9451	102	14	the	the	DET
fcis-9451	102	15	adam	adam	PROPN
fcis-9451	102	16	optimizer	optimizer	NOUN
fcis-9451	102	17	with	with	ADP
fcis-9451	102	18	momentum	momentum	NOUN
fcis-9451	102	19	0.5	0.5	NUM
fcis-9451	102	20	is	be	AUX
fcis-9451	102	21	selected	select	VERB
fcis-9451	102	22	for	for	ADP
fcis-9451	102	23	training	training	NOUN
fcis-9451	102	24	,	,	PUNCT
fcis-9451	102	25	the	the	DET
fcis-9451	102	26	initial	initial	ADJ
fcis-9451	102	27	learning	learning	NOUN
fcis-9451	102	28	rate	rate	NOUN
fcis-9451	102	29	of	of	ADP
fcis-9451	102	30	both	both	DET
fcis-9451	102	31	the	the	DET
fcis-9451	102	32	generator	generator	NOUN
fcis-9451	102	33	and	and	CCONJ
fcis-9451	102	34	the	the	DET
fcis-9451	102	35	discriminator	discriminator	NOUN
fcis-9451	102	36	is	be	AUX
fcis-9451	102	37	set	set	VERB
fcis-9451	102	38	to	to	ADP
fcis-9451	102	39	0.0002	0.0002	NUM
fcis-9451	102	40	,	,	PUNCT
fcis-9451	102	41	the	the	DET
fcis-9451	102	42	learning	learning	NOUN
fcis-9451	102	43	rate	rate	NOUN
fcis-9451	102	44	"	"	PUNCT
fcis-9451	102	45	multsteplr	multsteplr	NOUN
fcis-9451	102	46	"	"	PUNCT
fcis-9451	102	47	is	be	AUX
fcis-9451	102	48	dynamically	dynamically	ADV
fcis-9451	102	49	adjusted	adjust	VERB
fcis-9451	102	50	,	,	PUNCT
fcis-9451	102	51	the	the	DET
fcis-9451	102	52	batch	batch	NOUN
fcis-9451	102	53	size	size	NOUN
fcis-9451	102	54	is	be	AUX
fcis-9451	102	55	set	set	VERB
fcis-9451	102	56	to	to	ADP
fcis-9451	102	57	1	1	NUM
fcis-9451	102	58	,	,	PUNCT
fcis-9451	102	59	and	and	CCONJ
fcis-9451	102	60	the	the	DET
fcis-9451	102	61	number	number	NOUN
fcis-9451	102	62	of	of	ADP
fcis-9451	102	63	iterations	iteration	NOUN
fcis-9451	102	64	is	be	AUX
fcis-9451	102	65	200	200	NUM
fcis-9451	102	66	.	.	PUNCT
fcis-9451	103	1	in	in	ADP
fcis-9451	103	2	the	the	DET
fcis-9451	103	3	cuhk	cuhk	NOUN
fcis-9451	103	4	dataset	dataset	NOUN
fcis-9451	103	5	training	training	NOUN
fcis-9451	103	6	,	,	PUNCT
fcis-9451	103	7	λcyc	λcyc	NOUN
fcis-9451	103	8	and	and	CCONJ
fcis-9451	103	9	λcxc	λcxc	NOUN
fcis-9451	103	10	are	be	AUX
fcis-9451	103	11	both	both	PRON
fcis-9451	103	12	taken	take	VERB
fcis-9451	103	13	as	as	ADP
fcis-9451	103	14	10	10	NUM
fcis-9451	103	15	,	,	PUNCT
fcis-9451	103	16	λyc	λyc	NOUN
fcis-9451	103	17	and	and	CCONJ
fcis-9451	103	18	λxc	λxc	NOUN
fcis-9451	103	19	are	be	AUX
fcis-9451	103	20	both	both	PRON
fcis-9451	103	21	taken	take	VERB
fcis-9451	103	22	as	as	ADP
fcis-9451	103	23	0.5	0.5	NUM
fcis-9451	103	24	,	,	PUNCT
fcis-9451	103	25	and	and	CCONJ
fcis-9451	103	26	λxy	λxy	NOUN
fcis-9451	103	27	and	and	CCONJ
fcis-9451	103	28	λyx	λyx	PROPN
fcis-9451	103	29	are	be	AUX
fcis-9451	103	30	taken	take	VERB
fcis-9451	103	31	as	as	ADP
fcis-9451	103	32	2	2	NUM
fcis-9451	103	33	.	.	NOUN
fcis-9451	103	34	3.4	3.4	NUM
fcis-9451	103	35	.	.	PUNCT
fcis-9451	104	1	analysis	analysis	NOUN
fcis-9451	104	2	of	of	ADP
fcis-9451	104	3	experimental	experimental	ADJ
fcis-9451	104	4	results	result	NOUN
fcis-9451	104	5	in	in	ADP
fcis-9451	104	6	this	this	DET
fcis-9451	104	7	paper	paper	NOUN
fcis-9451	104	8	,	,	PUNCT
fcis-9451	104	9	we	we	PRON
fcis-9451	104	10	conducted	conduct	VERB
fcis-9451	104	11	comparison	comparison	NOUN
fcis-9451	104	12	experiments	experiment	NOUN
fcis-9451	104	13	with	with	ADP
fcis-9451	104	14	the	the	DET
fcis-9451	104	15	mainstream	mainstream	NOUN
fcis-9451	104	16	image	image	NOUN
fcis-9451	104	17	generation	generation	NOUN
fcis-9451	104	18	methods	method	NOUN
fcis-9451	104	19	(	(	PUNCT
fcis-9451	104	20	lle	lle	PROPN
fcis-9451	105	1	[	[	X
fcis-9451	105	2	16	16	NUM
fcis-9451	105	3	]	]	PUNCT
fcis-9451	105	4	,	,	PUNCT
fcis-9451	105	5	pix2pix	pix2pix	PROPN
fcis-9451	105	6	,	,	PUNCT
fcis-9451	105	7	cyclegan	cyclegan	NOUN
fcis-9451	105	8	and	and	CCONJ
fcis-9451	105	9	combogan	combogan	VERB
fcis-9451	106	1	[	[	X
fcis-9451	106	2	17	17	NUM
fcis-9451	106	3	]	]	NUM
fcis-9451	106	4	)	)	PUNCT
fcis-9451	106	5	.	.	PUNCT
fcis-9451	107	1	the	the	DET
fcis-9451	107	2	sketched	sketch	VERB
fcis-9451	107	3	face	face	NOUN
fcis-9451	107	4	avatars	avatar	NOUN
fcis-9451	107	5	generated	generate	VERB
fcis-9451	107	6	by	by	ADP
fcis-9451	107	7	each	each	DET
fcis-9451	107	8	model	model	NOUN
fcis-9451	107	9	on	on	ADP
fcis-9451	107	10	the	the	DET
fcis-9451	107	11	cuhk	cuhk	NOUN
fcis-9451	107	12	student	student	NOUN
fcis-9451	107	13	face	face	NOUN
fcis-9451	107	14	test	test	NOUN
fcis-9451	107	15	set	set	VERB
fcis-9451	107	16	are	be	AUX
fcis-9451	107	17	shown	show	VERB
fcis-9451	107	18	in	in	ADP
fcis-9451	107	19	figure	figure	NOUN
fcis-9451	107	20	6	6	NUM
fcis-9451	107	21	,	,	PUNCT
fcis-9451	107	22	ssim	ssim	NOUN
fcis-9451	107	23	values	value	NOUN
fcis-9451	107	24	table	table	VERB
fcis-9451	107	25	1	1	NUM
fcis-9451	107	26	.	.	PUNCT
fcis-9451	107	27	from	from	ADP
fcis-9451	107	28	table	table	NOUN
fcis-9451	107	29	1	1	NUM
fcis-9451	107	30	,	,	PUNCT
fcis-9451	107	31	it	it	PRON
fcis-9451	107	32	can	can	AUX
fcis-9451	107	33	be	be	AUX
fcis-9451	107	34	seen	see	VERB
fcis-9451	107	35	that	that	SCONJ
fcis-9451	107	36	:	:	PUNCT
fcis-9451	107	37	the	the	DET
fcis-9451	107	38	ssims	ssim	NOUN
fcis-9451	107	39	of	of	ADP
fcis-9451	107	40	the	the	DET
fcis-9451	107	41	sketched	sketched	ADJ
fcis-9451	107	42	avatars	avatar	NOUN
fcis-9451	107	43	generated	generate	VERB
fcis-9451	107	44	by	by	ADP
fcis-9451	107	45	the	the	DET
fcis-9451	107	46	method	method	NOUN
fcis-9451	107	47	in	in	ADP
fcis-9451	107	48	this	this	DET
fcis-9451	107	49	paper	paper	NOUN
fcis-9451	107	50	are	be	AUX
fcis-9451	107	51	all	all	ADV
fcis-9451	107	52	higher	high	ADJ
fcis-9451	107	53	than	than	ADP
fcis-9451	107	54	those	those	PRON
fcis-9451	107	55	of	of	ADP
fcis-9451	107	56	other	other	ADJ
fcis-9451	107	57	models	model	NOUN
fcis-9451	107	58	.	.	PUNCT
fcis-9451	108	1	table	table	NOUN
fcis-9451	108	2	1	1	NUM
fcis-9451	108	3	.	.	PUNCT
fcis-9451	109	1	ssim	ssim	NOUN
fcis-9451	109	2	values	value	NOUN
fcis-9451	109	3	of	of	ADP
fcis-9451	109	4	sketched	sketched	ADJ
fcis-9451	109	5	heads	head	NOUN
fcis-9451	109	6	generated	generate	VERB
fcis-9451	109	7	by	by	ADP
fcis-9451	109	8	each	each	DET
fcis-9451	109	9	model	model	NOUN
fcis-9451	109	10	on	on	ADP
fcis-9451	109	11	cuhk	cuhk	NOUN
fcis-9451	109	12	student	student	NOUN
fcis-9451	109	13	models	model	NOUN
fcis-9451	109	14	ssim	ssim	VERB
fcis-9451	109	15	lle	lle	NOUN
fcis-9451	109	16	0.4624	0.4624	NUM
fcis-9451	109	17	pix2pix	pix2pix	ADJ
fcis-9451	109	18	0.4683	0.4683	NUM
fcis-9451	109	19	cyclegan	cyclegan	VERB
fcis-9451	109	20	0.5931	0.5931	NUM
fcis-9451	109	21	combogan	combogan	ADJ
fcis-9451	109	22	0.4075	0.4075	NUM
fcis-9451	109	23	methods	method	NOUN
fcis-9451	109	24	in	in	ADP
fcis-9451	109	25	this	this	DET
fcis-9451	109	26	paper	paper	NOUN
fcis-9451	109	27	0.6205	0.6205	NUM
fcis-9451	109	28	it	it	PRON
fcis-9451	109	29	can	can	AUX
fcis-9451	109	30	be	be	AUX
fcis-9451	109	31	seen	see	VERB
fcis-9451	109	32	from	from	ADP
fcis-9451	109	33	fig	fig	NOUN
fcis-9451	109	34	.	.	PUNCT
fcis-9451	110	1	3	3	NUM
fcis-9451	110	2	that	that	PRON
fcis-9451	110	3	the	the	DET
fcis-9451	110	4	sketch	sketch	ADJ
fcis-9451	110	5	face	face	NOUN
fcis-9451	110	6	head	head	NOUN
fcis-9451	110	7	generated	generate	VERB
fcis-9451	110	8	by	by	ADP
fcis-9451	110	9	this	this	DET
fcis-9451	110	10	paper	paper	NOUN
fcis-9451	110	11	is	be	AUX
fcis-9451	110	12	clearer	clear	ADJ
fcis-9451	110	13	,	,	PUNCT
fcis-9451	110	14	more	more	ADV
fcis-9451	110	15	distinctive	distinctive	ADJ
fcis-9451	110	16	and	and	CCONJ
fcis-9451	110	17	richer	rich	ADJ
fcis-9451	110	18	in	in	ADP
fcis-9451	110	19	facial	facial	ADJ
fcis-9451	110	20	details	detail	NOUN
fcis-9451	110	21	than	than	ADP
fcis-9451	110	22	the	the	DET
fcis-9451	110	23	sketch	sketch	ADJ
fcis-9451	110	24	face	face	NOUN
fcis-9451	110	25	head	head	NOUN
fcis-9451	110	26	generated	generate	VERB
fcis-9451	110	27	by	by	ADP
fcis-9451	110	28	other	other	ADJ
fcis-9451	110	29	models	model	NOUN
fcis-9451	110	30	,	,	PUNCT
fcis-9451	110	31	and	and	CCONJ
fcis-9451	110	32	has	have	VERB
fcis-9451	110	33	a	a	DET
fcis-9451	110	34	better	well	ADJ
fcis-9451	110	35	subjective	subjective	ADJ
fcis-9451	110	36	feeling	feeling	NOUN
fcis-9451	110	37	.	.	PUNCT
fcis-9451	111	1	figure	figure	NOUN
fcis-9451	111	2	3	3	NUM
fcis-9451	111	3	.	.	PUNCT
fcis-9451	111	4	sketch	sketch	NOUN
fcis-9451	111	5	heads	head	NOUN
fcis-9451	111	6	generated	generate	VERB
fcis-9451	111	7	by	by	ADP
fcis-9451	111	8	each	each	DET
fcis-9451	111	9	model	model	NOUN
fcis-9451	111	10	on	on	ADP
fcis-9451	111	11	the	the	DET
fcis-9451	111	12	cuhk	cuhk	PROPN
fcis-9451	111	13	student	student	NOUN
fcis-9451	111	14	test	test	NOUN
fcis-9451	111	15	set	set	VERB
fcis-9451	111	16	4	4	NUM
fcis-9451	111	17	.	.	PUNCT
fcis-9451	112	1	conclusion	conclusion	NOUN
fcis-9451	112	2	in	in	ADP
fcis-9451	112	3	this	this	DET
fcis-9451	112	4	paper	paper	NOUN
fcis-9451	113	1	,	,	PUNCT
fcis-9451	113	2	a	a	DET
fcis-9451	113	3	sketch	sketch	ADJ
fcis-9451	113	4	head	head	NOUN
fcis-9451	113	5	generation	generation	NOUN
fcis-9451	113	6	method	method	NOUN
fcis-9451	113	7	is	be	AUX
fcis-9451	113	8	proposed	propose	VERB
fcis-9451	113	9	.	.	PUNCT
fcis-9451	114	1	firstly	firstly	ADV
fcis-9451	114	2	,	,	PUNCT
fcis-9451	114	3	in	in	ADV
fcis-9451	114	4	.	.	PUNCT
fcis-9451	115	1	second	second	ADV
fcis-9451	115	2	,	,	PUNCT
fcis-9451	115	3	in	in	ADP
fcis-9451	115	4	order	order	NOUN
fcis-9451	115	5	to	to	PART
fcis-9451	115	6	further	far	ADV
fcis-9451	115	7	improve	improve	VERB
fcis-9451	115	8	the	the	DET
fcis-9451	115	9	quality	quality	NOUN
fcis-9451	115	10	of	of	ADP
fcis-9451	115	11	generated	generate	VERB
fcis-9451	115	12	sketch	sketch	ADJ
fcis-9451	115	13	face	face	NOUN
fcis-9451	115	14	avatars	avatar	NOUN
fcis-9451	115	15	,	,	PUNCT
fcis-9451	115	16	this	this	DET
fcis-9451	115	17	paper	paper	NOUN
fcis-9451	115	18	converts	convert	VERB
fcis-9451	115	19	the	the	DET
fcis-9451	115	20	model	model	NOUN
fcis-9451	115	21	into	into	ADP
fcis-9451	115	22	a	a	DET
fcis-9451	115	23	supervised	supervised	ADJ
fcis-9451	115	24	learning	learning	NOUN
fcis-9451	115	25	model	model	NOUN
fcis-9451	115	26	by	by	ADP
fcis-9451	115	27	adding	add	VERB
fcis-9451	115	28	the	the	DET
fcis-9451	115	29	generated	generate	VERB
fcis-9451	115	30	avatar	avatar	NOUN
fcis-9451	115	31	with	with	ADP
fcis-9451	115	32	real	real	ADJ
fcis-9451	115	33	avatar	avatar	ADJ
fcis-9451	115	34	l1	l1	PROPN
fcis-9451	115	35	constraint	constraint	NOUN
fcis-9451	115	36	.	.	PUNCT
fcis-9451	116	1	the	the	DET
fcis-9451	116	2	experimental	experimental	ADJ
fcis-9451	116	3	results	result	NOUN
fcis-9451	116	4	show	show	VERB
fcis-9451	116	5	that	that	SCONJ
fcis-9451	116	6	the	the	DET
fcis-9451	116	7	sketch	sketch	ADJ
fcis-9451	116	8	avatar	avatar	NOUN
fcis-9451	116	9	generated	generate	VERB
fcis-9451	116	10	by	by	ADP
fcis-9451	116	11	the	the	DET
fcis-9451	116	12	method	method	NOUN
fcis-9451	116	13	in	in	ADP
fcis-9451	116	14	this	this	DET
fcis-9451	116	15	paper	paper	NOUN
fcis-9451	116	16	is	be	AUX
fcis-9451	116	17	better	well	ADJ
fcis-9451	116	18	than	than	ADP
fcis-9451	116	19	the	the	DET
fcis-9451	116	20	base	base	NOUN
fcis-9451	116	21	model	model	NOUN
fcis-9451	116	22	in	in	ADP
fcis-9451	116	23	both	both	PRON
fcis-9451	116	24	subjective	subjective	ADJ
fcis-9451	116	25	perception	perception	NOUN
fcis-9451	116	26	and	and	CCONJ
fcis-9451	116	27	objective	objective	ADJ
fcis-9451	116	28	evaluation	evaluation	NOUN
fcis-9451	116	29	index	index	NOUN
fcis-9451	116	30	.	.	PUNCT
fcis-9451	117	1	references	reference	NOUN
fcis-9451	117	2	[	[	X
fcis-9451	117	3	1	1	NUM
fcis-9451	117	4	]	]	PUNCT
fcis-9451	117	5	zhang	zhang	PROPN
fcis-9451	117	6	s	s	PROPN
fcis-9451	117	7	,	,	PUNCT
fcis-9451	117	8	gao	gao	PROPN
fcis-9451	117	9	x	x	PROPN
fcis-9451	117	10	,	,	PUNCT
fcis-9451	117	11	wang	wang	PROPN
fcis-9451	117	12	n	n	AUX
fcis-9451	117	13	,	,	PUNCT
fcis-9451	117	14	et	et	PROPN
fcis-9451	117	15	al	al	PROPN
fcis-9451	117	16	.	.	PROPN
fcis-9451	117	17	face	face	PROPN
fcis-9451	117	18	sketch	sketch	ADJ
fcis-9451	117	19	synthesis	synthesis	NOUN
fcis-9451	117	20	via	via	ADP
fcis-9451	117	21	sparse	sparse	ADJ
fcis-9451	117	22	representation	representation	NOUN
fcis-9451	117	23	-	-	PUNCT
fcis-9451	117	24	based	base	VERB
fcis-9451	117	25	greedy	greedy	ADJ
fcis-9451	117	26	search	search	NOUN
fcis-9451	118	1	[	[	X
fcis-9451	118	2	j	j	X
fcis-9451	118	3	]	]	X
fcis-9451	118	4	.	.	PUNCT
fcis-9451	119	1	ieee	ieee	NOUN
fcis-9451	119	2	transactions	transaction	NOUN
fcis-9451	119	3	on	on	ADP
fcis-9451	119	4	image	image	NOUN
fcis-9451	119	5	processing	processing	NOUN
fcis-9451	119	6	,	,	PUNCT
fcis-9451	119	7	2015	2015	NUM
fcis-9451	119	8	,	,	PUNCT
fcis-9451	119	9	24(8	24(8	NUM
fcis-9451	119	10	):	):	PUNCT
fcis-9451	119	11	2466	2466	NUM
fcis-9451	119	12	-	-	SYM
fcis-9451	119	13	2477	2477	NUM
fcis-9451	119	14	.	.	PUNCT
fcis-9451	120	1	[	[	X
fcis-9451	120	2	2	2	NUM
fcis-9451	120	3	]	]	X
fcis-9451	120	4	chang	chang	PROPN
fcis-9451	120	5	l	l	PROPN
fcis-9451	120	6	,	,	PUNCT
fcis-9451	120	7	zhou	zhou	PROPN
fcis-9451	120	8	m	m	PROPN
fcis-9451	120	9	,	,	PUNCT
fcis-9451	120	10	deng	deng	PROPN
fcis-9451	120	11	x	x	PROPN
fcis-9451	120	12	,	,	PUNCT
fcis-9451	120	13	et	et	PROPN
fcis-9451	120	14	al	al	PROPN
fcis-9451	120	15	.	.	PROPN
fcis-9451	120	16	face	face	PROPN
fcis-9451	120	17	sketch	sketch	ADJ
fcis-9451	120	18	synthesis	synthesis	NOUN
fcis-9451	120	19	via	via	ADP
fcis-9451	120	20	multivariate	multivariate	NOUN
fcis-9451	120	21	output	output	NOUN
fcis-9451	120	22	regression	regression	NOUN
fcis-9451	120	23	[	[	X
fcis-9451	120	24	c	c	X
fcis-9451	120	25	]	]	X
fcis-9451	120	26	//	//	PUNCT
fcis-9451	120	27	human	human	ADJ
fcis-9451	120	28	-	-	PUNCT
fcis-9451	120	29	computer	computer	NOUN
fcis-9451	120	30	interaction	interaction	NOUN
fcis-9451	120	31	.	.	PUNCT
fcis-9451	121	1	design	design	NOUN
fcis-9451	121	2	and	and	CCONJ
fcis-9451	121	3	development	development	NOUN
fcis-9451	121	4	approaches	approach	NOUN
fcis-9451	121	5	:	:	PUNCT
fcis-9451	121	6	14th	14th	ADJ
fcis-9451	121	7	international	international	ADJ
fcis-9451	121	8	conference	conference	NOUN
fcis-9451	121	9	,	,	PUNCT
fcis-9451	121	10	hci	hci	NOUN
fcis-9451	121	11	international	international	PROPN
fcis-9451	121	12	2011	2011	NUM
fcis-9451	121	13	,	,	PUNCT
fcis-9451	121	14	orlando	orlando	PROPN
fcis-9451	121	15	,	,	PUNCT
fcis-9451	121	16	fl	fl	PROPN
fcis-9451	121	17	,	,	PUNCT
fcis-9451	121	18	usa	usa	PROPN
fcis-9451	121	19	,	,	PUNCT
fcis-9451	121	20	july	july	PROPN
fcis-9451	121	21	9	9	NUM
fcis-9451	121	22	-	-	SYM
fcis-9451	121	23	14	14	NUM
fcis-9451	121	24	,	,	PUNCT
fcis-9451	121	25	2011	2011	NUM
fcis-9451	121	26	,	,	PUNCT
fcis-9451	121	27	proceedings	proceeding	NOUN
fcis-9451	121	28	,	,	PUNCT
fcis-9451	121	29	part	part	NOUN
fcis-9451	121	30	i	i	PRON
fcis-9451	121	31	14	14	NUM
fcis-9451	121	32	.	.	PUNCT
fcis-9451	122	1	springer	springer	PROPN
fcis-9451	122	2	berlin	berlin	PROPN
fcis-9451	122	3	heidelberg	heidelberg	PROPN
fcis-9451	122	4	,	,	PUNCT
fcis-9451	122	5	2011	2011	NUM
fcis-9451	122	6	:	:	PUNCT
fcis-9451	122	7	555	555	NUM
fcis-9451	122	8	-	-	SYM
fcis-9451	122	9	561	561	NUM
fcis-9451	122	10	.	.	PUNCT
fcis-9451	123	1	[	[	X
fcis-9451	123	2	3	3	X
fcis-9451	123	3	]	]	X
fcis-9451	123	4	wang	wang	PROPN
fcis-9451	123	5	x	x	PROPN
fcis-9451	123	6	,	,	PUNCT
fcis-9451	123	7	tang	tang	PROPN
fcis-9451	123	8	x.	x.	AUX
fcis-9451	123	9	face	face	VERB
fcis-9451	123	10	photo	photo	NOUN
fcis-9451	123	11	-	-	PUNCT
fcis-9451	123	12	sketch	sketch	NOUN
fcis-9451	123	13	synthesis	synthesis	NOUN
fcis-9451	123	14	and	and	CCONJ
fcis-9451	123	15	recognition	recognition	NOUN
fcis-9451	124	1	[	[	X
fcis-9451	124	2	j	j	X
fcis-9451	124	3	]	]	X
fcis-9451	124	4	.	.	PUNCT
fcis-9451	125	1	ieee	ieee	NOUN
fcis-9451	125	2	transactions	transaction	NOUN
fcis-9451	125	3	on	on	ADP
fcis-9451	125	4	pattern	pattern	NOUN
fcis-9451	125	5	analysis	analysis	NOUN
fcis-9451	125	6	and	and	CCONJ
fcis-9451	125	7	machine	machine	NOUN
fcis-9451	125	8	intelligence	intelligence	NOUN
fcis-9451	125	9	,	,	PUNCT
fcis-9451	125	10	2008	2008	NUM
fcis-9451	125	11	,	,	PUNCT
fcis-9451	125	12	31(11	31(11	NUM
fcis-9451	125	13	):	):	PUNCT
fcis-9451	125	14	1955	1955	NUM
fcis-9451	125	15	-	-	SYM
fcis-9451	125	16	1967	1967	NUM
fcis-9451	125	17	.	.	PUNCT
fcis-9451	126	1	[	[	X
fcis-9451	126	2	4	4	NUM
fcis-9451	126	3	]	]	X
fcis-9451	126	4	roweis	roweis	PROPN
fcis-9451	126	5	s	s	PROPN
fcis-9451	126	6	t	t	PROPN
fcis-9451	126	7	,	,	PUNCT
fcis-9451	126	8	saul	saul	PROPN
fcis-9451	126	9	l	l	PROPN
fcis-9451	126	10	k.	k.	PROPN
fcis-9451	126	11	nonlinear	nonlinear	ADJ
fcis-9451	126	12	dimensionality	dimensionality	NOUN
fcis-9451	126	13	reduction	reduction	NOUN
fcis-9451	126	14	by	by	ADP
fcis-9451	126	15	locally	locally	ADV
fcis-9451	126	16	linear	linear	PROPN
fcis-9451	126	17	embedding[j	embedding[j	PROPN
fcis-9451	126	18	]	]	PUNCT
fcis-9451	126	19	.	.	PUNCT
fcis-9451	127	1	science	science	NOUN
fcis-9451	127	2	,	,	PUNCT
fcis-9451	127	3	2000	2000	NUM
fcis-9451	127	4	,	,	PUNCT
fcis-9451	127	5	290(5500	290(5500	NUM
fcis-9451	127	6	):	):	PUNCT
fcis-9451	127	7	23232326	23232326	NUM
fcis-9451	127	8	.	.	PUNCT
fcis-9451	128	1	[	[	X
fcis-9451	128	2	5	5	X
fcis-9451	128	3	]	]	X
fcis-9451	128	4	zhou	zhou	PROPN
fcis-9451	128	5	h	h	PROPN
fcis-9451	129	1	q	q	NOUN
fcis-9451	129	2	,	,	PUNCT
fcis-9451	129	3	cao	cao	PROPN
fcis-9451	129	4	l	l	PROPN
fcis-9451	129	5	,	,	PUNCT
fcis-9451	129	6	du	du	PROPN
fcis-9451	129	7	c	c	PROPN
fcis-9451	129	8	n.	n.	PROPN
fcis-9451	129	9	multi	multi	ADJ
fcis-9451	129	10	-	-	ADJ
fcis-9451	129	11	discriminator	discriminator	ADJ
fcis-9451	129	12	recurrent	recurrent	NOUN
fcis-9451	129	13	generative	generative	ADJ
fcis-9451	129	14	adversarial	adversarial	ADJ
fcis-9451	129	15	network	network	NOUN
fcis-9451	129	16	for	for	ADP
fcis-9451	129	17	sketch	sketch	ADJ
fcis-9451	129	18	face	face	NOUN
fcis-9451	129	19	synthesis[j	synthesis[j	PROPN
fcis-9451	129	20	]	]	PUNCT
fcis-9451	129	21	.	.	PUNCT
fcis-9451	130	1	computer	computer	NOUN
fcis-9451	130	2	engineering	engineering	NOUN
fcis-9451	130	3	and	and	CCONJ
fcis-9451	130	4	applications,2021,57(03):231	applications,2021,57(03):231	PROPN
fcis-9451	130	5	-	-	SYM
fcis-9451	130	6	238	238	NUM
fcis-9451	130	7	.	.	PUNCT
fcis-9451	131	1	[	[	X
fcis-9451	131	2	6	6	NUM
fcis-9451	131	3	]	]	PUNCT
fcis-9451	131	4	creswell	creswell	PROPN
fcis-9451	131	5	a	a	PROPN
fcis-9451	131	6	,	,	PUNCT
fcis-9451	131	7	white	white	PROPN
fcis-9451	131	8	t	t	PROPN
fcis-9451	131	9	,	,	PUNCT
fcis-9451	131	10	dumoulin	dumoulin	PROPN
fcis-9451	131	11	v	v	PROPN
fcis-9451	131	12	,	,	PUNCT
fcis-9451	131	13	et	et	PROPN
fcis-9451	131	14	al	al	PROPN
fcis-9451	131	15	.	.	PROPN
fcis-9451	131	16	generative	generative	ADJ
fcis-9451	131	17	adversarial	adversarial	ADJ
fcis-9451	131	18	networks	network	NOUN
fcis-9451	131	19	:	:	PUNCT
fcis-9451	131	20	an	an	DET
fcis-9451	131	21	overview[j	overview[j	PROPN
fcis-9451	131	22	]	]	PUNCT
fcis-9451	131	23	.	.	PUNCT
fcis-9451	132	1	ieee	ieee	PROPN
fcis-9451	132	2	signal	signal	PROPN
fcis-9451	132	3	processing	processing	NOUN
fcis-9451	132	4	magazine	magazine	NOUN
fcis-9451	132	5	,	,	PUNCT
fcis-9451	132	6	2018	2018	NUM
fcis-9451	132	7	,	,	PUNCT
fcis-9451	132	8	35(1	35(1	NUM
fcis-9451	132	9	):	):	PUNCT
fcis-9451	132	10	53	53	NUM
fcis-9451	132	11	-	-	SYM
fcis-9451	132	12	65	65	NUM
fcis-9451	132	13	.	.	PUNCT
fcis-9451	133	1	[	[	X
fcis-9451	133	2	7	7	X
fcis-9451	133	3	]	]	X
fcis-9451	133	4	yan	yan	PROPN
fcis-9451	133	5	b.	b.	PROPN
fcis-9451	133	6	,	,	PUNCT
fcis-9451	133	7	zhang	zhang	PROPN
fcis-9451	133	8	j.	j.	PROPN
fcis-9451	133	9	lin	lin	PROPN
fcis-9451	133	10	.	.	PUNCT
fcis-9451	134	1	a	a	DET
fcis-9451	134	2	study	study	NOUN
fcis-9451	134	3	on	on	ADP
fcis-9451	134	4	the	the	DET
fcis-9451	134	5	status	status	NOUN
fcis-9451	134	6	of	of	ADP
fcis-9451	134	7	image	image	NOUN
fcis-9451	134	8	translation	translation	NOUN
fcis-9451	134	9	based	base	VERB
fcis-9451	134	10	on	on	ADP
fcis-9451	134	11	generative	generative	ADJ
fcis-9451	134	12	adversarial	adversarial	ADJ
fcis-9451	134	13	networks[j	networks[j	PROPN
fcis-9451	134	14	]	]	PUNCT
fcis-9451	134	15	.	.	PUNCT
fcis-9451	135	1	foreign	foreign	ADJ
fcis-9451	135	2	electronic	electronic	ADJ
fcis-9451	135	3	measurement	measurement	NOUN
fcis-9451	135	4	technology,2019,38(06	technology,2019,38(06	PROPN
fcis-9451	135	5	):	):	PUNCT
fcis-9451	135	6	130	130	NUM
fcis-9451	135	7	-	-	SYM
fcis-9451	135	8	134	134	NUM
fcis-9451	135	9	.	.	PUNCT
fcis-9451	136	1	doi	doi	NOUN
fcis-9451	136	2	:	:	PUNCT
fcis-9451	136	3	10.19652	10.19652	NUM
fcis-9451	136	4	/	/	SYM
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fcis-9451	137	1	[	[	X
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fcis-9451	137	3	]	]	PUNCT
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fcis-9451	139	1	[	[	X
fcis-9451	139	2	d	d	X
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fcis-9451	140	4	,	,	PUNCT
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fcis-9451	140	6	.	.	PUNCT
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fcis-9451	141	4	.	.	X
fcis-9451	142	1	27778	27778	NUM
fcis-9451	142	2	/	/	SYM
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fcis-9451	143	6	,	,	PUNCT
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fcis-9451	143	20	-	-	PUNCT
fcis-9451	143	21	image	image	NOUN
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fcis-9451	143	32	computer	computer	NOUN
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fcis-9451	143	37	.	.	PUNCT
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fcis-9451	144	2	:	:	PUNCT
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fcis-9451	144	4	-	-	SYM
fcis-9451	144	5	1134	1134	NUM
fcis-9451	144	6	.	.	PUNCT
fcis-9451	145	1	[	[	X
fcis-9451	145	2	10	10	NUM
fcis-9451	145	3	]	]	X
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fcis-9451	145	5	j	j	PROPN
fcis-9451	145	6	y	y	PROPN
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fcis-9451	145	19	-	-	PUNCT
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fcis-9451	145	21	-	-	PUNCT
fcis-9451	145	22	image	image	NOUN
fcis-9451	145	23	translation	translation	NOUN
fcis-9451	145	24	using	use	VERB
fcis-9451	145	25	cycle	cycle	NOUN
fcis-9451	145	26	-	-	PUNCT
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fcis-9451	146	1	2017	2017	NUM
fcis-9451	146	2	:	:	PUNCT
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fcis-9451	146	4	-	-	SYM
fcis-9451	146	5	2232	2232	NUM
fcis-9451	146	6	.	.	PUNCT
fcis-9451	147	1	[	[	X
fcis-9451	147	2	11	11	NUM
fcis-9451	147	3	]	]	X
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fcis-9451	147	14	a	a	DET
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fcis-9451	147	20	]	]	X
fcis-9451	147	21	.	.	PUNCT
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fcis-9451	148	6	.	.	PUNCT
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fcis-9451	149	2	12	12	NUM
fcis-9451	149	3	]	]	PUNCT
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fcis-9451	149	6	,	,	PUNCT
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fcis-9451	149	9	,	,	PUNCT
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fcis-9451	149	15	:	:	PUNCT
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fcis-9451	149	19	biomedical	biomedical	ADJ
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fcis-9451	149	36	,	,	PUNCT
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fcis-9451	150	2	13	13	NUM
fcis-9451	150	3	]	]	SYM
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fcis-9451	151	11	-	-	PUNCT
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fcis-9451	151	25	.	.	PUNCT
fcis-9451	152	1	2018	2018	NUM
fcis-9451	152	2	:	:	PUNCT
fcis-9451	152	3	7132	7132	NUM
fcis-9451	152	4	-	-	SYM
fcis-9451	152	5	7141	7141	NUM
fcis-9451	152	6	.	.	PUNCT
fcis-9451	153	1	[	[	X
fcis-9451	153	2	14	14	NUM
fcis-9451	153	3	]	]	SYM
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fcis-9451	154	5	,	,	PUNCT
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fcis-9451	156	7	c]//	c]//	ADJ
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fcis-9451	156	14	on	on	ADP
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fcis-9451	156	17	.	.	PUNCT
fcis-9451	157	1	2017	2017	NUM
fcis-9451	157	2	:	:	PUNCT
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fcis-9451	157	4	-	-	SYM
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fcis-9451	157	6	.	.	PUNCT
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fcis-9451	159	2	:	:	PUNCT
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fcis-9451	160	2	-	-	SYM
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fcis-9451	161	1	[	[	X
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fcis-9451	161	18	]	]	PUNCT
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fcis-9451	162	4	,	,	PUNCT
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fcis-9451	163	24	[	[	X
fcis-9451	163	25	c]//	c]//	PROPN
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fcis-9451	163	32	computer	computer	NOUN
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fcis-9451	164	2	:	:	PUNCT
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fcis-9451	165	2	-	-	SYM
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