id	sid	tid	token	lemma	pos
fcis-15227	1	1	frontiers	frontier	NOUN
fcis-15227	1	2	in	in	ADP
fcis-15227	1	3	computing	computing	NOUN
fcis-15227	1	4	and	and	CCONJ
fcis-15227	1	5	intelligent	intelligent	ADJ
fcis-15227	1	6	systems	system	NOUN
fcis-15227	1	7	issn	issn	VERB
fcis-15227	1	8	:	:	PUNCT
fcis-15227	1	9	2832	2832	NUM
fcis-15227	1	10	-	-	SYM
fcis-15227	1	11	6024	6024	NUM
fcis-15227	1	12	|	|	NOUN
fcis-15227	1	13	vol	vol	NOUN
fcis-15227	1	14	.	.	PROPN
fcis-15227	2	1	6	6	NUM
fcis-15227	2	2	,	,	PUNCT
fcis-15227	2	3	no	no	INTJ
fcis-15227	2	4	.	.	NOUN
fcis-15227	2	5	2	2	NUM
fcis-15227	2	6	,	,	PUNCT
fcis-15227	2	7	2023	2023	NUM
fcis-15227	2	8	96	96	NUM
fcis-15227	2	9	image	image	NOUN
fcis-15227	2	10	inpainting	inpainte	VERB
fcis-15227	2	11	based	base	VERB
fcis-15227	2	12	on	on	ADP
fcis-15227	2	13	gated	gate	VERB
fcis-15227	2	14	convolution	convolution	NOUN
fcis-15227	2	15	and	and	CCONJ
fcis-15227	2	16	spectral	spectral	ADJ
fcis-15227	2	17	normalization	normalization	NOUN
fcis-15227	2	18	yulin	yulin	PROPN
fcis-15227	2	19	jiao	jiao	PROPN
fcis-15227	2	20	,	,	PUNCT
fcis-15227	2	21	feng	feng	PROPN
fcis-15227	2	22	xiao	xiao	PROPN
fcis-15227	3	1	*	*	PROPN
fcis-15227	3	2	,	,	PUNCT
fcis-15227	3	3	wenjuan	wenjuan	PROPN
fcis-15227	3	4	zhang	zhang	PROPN
fcis-15227	3	5	,	,	PUNCT
fcis-15227	3	6	shujuan	shujuan	PROPN
fcis-15227	3	7	huang	huang	PROPN
fcis-15227	3	8	,	,	PUNCT
fcis-15227	3	9	hao	hao	PROPN
fcis-15227	3	10	lu	lu	PROPN
fcis-15227	3	11	,	,	PUNCT
fcis-15227	3	12	zhaoting	zhaoting	NOUN
fcis-15227	3	13	lu	lu	NOUN
fcis-15227	3	14	xian	xian	ADJ
fcis-15227	3	15	technological	technological	ADJ
fcis-15227	3	16	university	university	NOUN
fcis-15227	3	17	,	,	PUNCT
fcis-15227	3	18	xian	xian	NOUN
fcis-15227	3	19	710000	710000	NUM
fcis-15227	3	20	,	,	PUNCT
fcis-15227	3	21	china	china	PROPN
fcis-15227	3	22	*	*	PUNCT
fcis-15227	3	23	corresponding	correspond	VERB
fcis-15227	3	24	author	author	NOUN
fcis-15227	3	25	:	:	PUNCT
fcis-15227	3	26	feng	feng	PROPN
fcis-15227	3	27	xiao	xiao	PROPN
fcis-15227	3	28	abstract	abstract	PROPN
fcis-15227	3	29	:	:	PUNCT
fcis-15227	3	30	traditional	traditional	ADJ
fcis-15227	3	31	image	image	NOUN
fcis-15227	3	32	inpainting	inpainte	VERB
fcis-15227	3	33	methods	method	NOUN
fcis-15227	3	34	based	base	VERB
fcis-15227	3	35	on	on	ADP
fcis-15227	3	36	deep	deep	ADJ
fcis-15227	3	37	learning	learning	NOUN
fcis-15227	3	38	have	have	VERB
fcis-15227	3	39	the	the	DET
fcis-15227	3	40	problem	problem	NOUN
fcis-15227	3	41	of	of	ADP
fcis-15227	3	42	insufficient	insufficient	ADJ
fcis-15227	3	43	discrimination	discrimination	NOUN
fcis-15227	3	44	between	between	ADP
fcis-15227	3	45	the	the	DET
fcis-15227	3	46	missing	miss	VERB
fcis-15227	3	47	area	area	NOUN
fcis-15227	3	48	and	and	CCONJ
fcis-15227	3	49	the	the	DET
fcis-15227	3	50	global	global	ADJ
fcis-15227	3	51	area	area	PROPN
fcis-15227	3	52	information	information	NOUN
fcis-15227	3	53	in	in	ADP
fcis-15227	3	54	the	the	DET
fcis-15227	3	55	feature	feature	NOUN
fcis-15227	3	56	extraction	extraction	NOUN
fcis-15227	3	57	of	of	ADP
fcis-15227	3	58	image	image	NOUN
fcis-15227	3	59	inpainting	inpainte	VERB
fcis-15227	3	60	tasks	task	NOUN
fcis-15227	3	61	because	because	SCONJ
fcis-15227	3	62	of	of	ADP
fcis-15227	3	63	the	the	DET
fcis-15227	3	64	characteristics	characteristic	NOUN
fcis-15227	3	65	of	of	ADP
fcis-15227	3	66	the	the	DET
fcis-15227	3	67	model	model	NOUN
fcis-15227	3	68	constructed	construct	VERB
fcis-15227	3	69	by	by	ADP
fcis-15227	3	70	the	the	DET
fcis-15227	3	71	convolutional	convolutional	ADJ
fcis-15227	3	72	layer	layer	NOUN
fcis-15227	3	73	.	.	PUNCT
fcis-15227	4	1	at	at	ADP
fcis-15227	4	2	the	the	DET
fcis-15227	4	3	same	same	ADJ
fcis-15227	4	4	time	time	NOUN
fcis-15227	4	5	,	,	PUNCT
fcis-15227	4	6	the	the	DET
fcis-15227	4	7	traditional	traditional	ADJ
fcis-15227	4	8	generative	generative	ADJ
fcis-15227	4	9	adversarial	adversarial	ADJ
fcis-15227	4	10	network	network	NOUN
fcis-15227	4	11	often	often	ADV
fcis-15227	4	12	has	have	VERB
fcis-15227	4	13	problems	problem	NOUN
fcis-15227	4	14	such	such	ADJ
fcis-15227	4	15	as	as	ADP
fcis-15227	4	16	training	training	NOUN
fcis-15227	4	17	difficulties	difficulty	NOUN
fcis-15227	4	18	and	and	CCONJ
fcis-15227	4	19	model	model	NOUN
fcis-15227	4	20	collapse	collapse	NOUN
fcis-15227	4	21	in	in	ADP
fcis-15227	4	22	the	the	DET
fcis-15227	4	23	training	training	NOUN
fcis-15227	4	24	process	process	NOUN
fcis-15227	4	25	.	.	PUNCT
fcis-15227	5	1	to	to	PART
fcis-15227	5	2	solve	solve	VERB
fcis-15227	5	3	the	the	DET
fcis-15227	5	4	above	above	ADJ
fcis-15227	5	5	problems	problem	NOUN
fcis-15227	5	6	and	and	CCONJ
fcis-15227	5	7	improve	improve	VERB
fcis-15227	5	8	the	the	DET
fcis-15227	5	9	repair	repair	NOUN
fcis-15227	5	10	effect	effect	NOUN
fcis-15227	5	11	of	of	ADP
fcis-15227	5	12	the	the	DET
fcis-15227	5	13	model	model	NOUN
fcis-15227	5	14	,	,	PUNCT
fcis-15227	5	15	this	this	DET
fcis-15227	5	16	paper	paper	NOUN
fcis-15227	5	17	proposes	propose	VERB
fcis-15227	5	18	a	a	DET
fcis-15227	5	19	dual	dual	ADJ
fcis-15227	5	20	discriminator	discriminator	NOUN
fcis-15227	5	21	image	image	NOUN
fcis-15227	5	22	inpainting	inpainte	VERB
fcis-15227	5	23	model	model	NOUN
fcis-15227	5	24	based	base	VERB
fcis-15227	5	25	on	on	ADP
fcis-15227	5	26	generative	generative	ADJ
fcis-15227	5	27	adversarial	adversarial	ADJ
fcis-15227	5	28	network	network	NOUN
fcis-15227	5	29	combining	combine	VERB
fcis-15227	5	30	gated	gate	VERB
fcis-15227	5	31	convolution	convolution	NOUN
fcis-15227	5	32	and	and	CCONJ
fcis-15227	5	33	spectral	spectral	ADJ
fcis-15227	5	34	normalization	normalization	NOUN
fcis-15227	5	35	.	.	PUNCT
fcis-15227	6	1	the	the	DET
fcis-15227	6	2	model	model	NOUN
fcis-15227	6	3	is	be	AUX
fcis-15227	6	4	mainly	mainly	ADV
fcis-15227	6	5	composed	compose	VERB
fcis-15227	6	6	of	of	ADP
fcis-15227	6	7	an	an	DET
fcis-15227	6	8	image	image	NOUN
fcis-15227	6	9	inpainting	inpainte	VERB
fcis-15227	6	10	module	module	NOUN
fcis-15227	6	11	and	and	CCONJ
fcis-15227	6	12	an	an	DET
fcis-15227	6	13	image	image	NOUN
fcis-15227	6	14	recognition	recognition	NOUN
fcis-15227	6	15	module	module	NOUN
fcis-15227	6	16	.	.	PUNCT
fcis-15227	7	1	the	the	DET
fcis-15227	7	2	traditional	traditional	ADJ
fcis-15227	7	3	image	image	NOUN
fcis-15227	7	4	inpainting	inpainte	VERB
fcis-15227	7	5	model	model	NOUN
fcis-15227	7	6	considers	consider	VERB
fcis-15227	7	7	all	all	DET
fcis-15227	7	8	input	input	NOUN
fcis-15227	7	9	pixels	pixel	NOUN
fcis-15227	7	10	as	as	ADP
fcis-15227	7	11	valid	valid	ADJ
fcis-15227	7	12	pixels	pixel	NOUN
fcis-15227	7	13	when	when	SCONJ
fcis-15227	7	14	extracting	extract	VERB
fcis-15227	7	15	the	the	DET
fcis-15227	7	16	features	feature	NOUN
fcis-15227	7	17	of	of	ADP
fcis-15227	7	18	the	the	DET
fcis-15227	7	19	image	image	NOUN
fcis-15227	7	20	to	to	PART
fcis-15227	7	21	be	be	AUX
fcis-15227	7	22	inpainted	inpainte	VERB
fcis-15227	7	23	,	,	PUNCT
fcis-15227	7	24	which	which	PRON
fcis-15227	7	25	is	be	AUX
fcis-15227	7	26	unreasonable	unreasonable	ADJ
fcis-15227	7	27	for	for	SCONJ
fcis-15227	7	28	the	the	DET
fcis-15227	7	29	image	image	NOUN
fcis-15227	7	30	inpainting	inpainte	VERB
fcis-15227	7	31	task	task	NOUN
fcis-15227	7	32	.	.	PUNCT
fcis-15227	8	1	in	in	ADP
fcis-15227	8	2	order	order	NOUN
fcis-15227	8	3	to	to	PART
fcis-15227	8	4	solve	solve	VERB
fcis-15227	8	5	this	this	DET
fcis-15227	8	6	problem	problem	NOUN
fcis-15227	8	7	,	,	PUNCT
fcis-15227	8	8	the	the	DET
fcis-15227	8	9	gated	gate	VERB
fcis-15227	8	10	convolution	convolution	NOUN
fcis-15227	8	11	is	be	AUX
fcis-15227	8	12	designed	design	VERB
fcis-15227	8	13	to	to	PART
fcis-15227	8	14	replace	replace	VERB
fcis-15227	8	15	the	the	DET
fcis-15227	8	16	role	role	NOUN
fcis-15227	8	17	of	of	ADP
fcis-15227	8	18	traditional	traditional	ADJ
fcis-15227	8	19	convolution	convolution	NOUN
fcis-15227	8	20	in	in	ADP
fcis-15227	8	21	the	the	DET
fcis-15227	8	22	image	image	NOUN
fcis-15227	8	23	inpainting	inpainte	VERB
fcis-15227	8	24	module	module	NOUN
fcis-15227	8	25	.	.	PUNCT
fcis-15227	9	1	gated	gate	VERB
fcis-15227	9	2	convolutions	convolution	NOUN
fcis-15227	9	3	address	address	VERB
fcis-15227	9	4	the	the	DET
fcis-15227	9	5	irrationality	irrationality	NOUN
fcis-15227	9	6	of	of	ADP
fcis-15227	9	7	ordinary	ordinary	ADJ
fcis-15227	9	8	convolutions	convolution	NOUN
fcis-15227	9	9	in	in	ADP
fcis-15227	9	10	image	image	NOUN
fcis-15227	9	11	inpainting	inpainte	VERB
fcis-15227	9	12	tasks	task	NOUN
fcis-15227	9	13	by	by	ADP
fcis-15227	9	14	providing	provide	VERB
fcis-15227	9	15	learnable	learnable	ADJ
fcis-15227	9	16	dynamic	dynamic	ADJ
fcis-15227	9	17	feature	feature	NOUN
fcis-15227	9	18	selection	selection	NOUN
fcis-15227	9	19	mechanisms	mechanism	NOUN
fcis-15227	9	20	for	for	ADP
fcis-15227	9	21	each	each	DET
fcis-15227	9	22	channel	channel	NOUN
fcis-15227	9	23	at	at	ADP
fcis-15227	9	24	each	each	DET
fcis-15227	9	25	spatial	spatial	ADJ
fcis-15227	9	26	location	location	NOUN
fcis-15227	9	27	in	in	ADP
fcis-15227	9	28	all	all	DET
fcis-15227	9	29	layers	layer	NOUN
fcis-15227	9	30	.	.	PUNCT
fcis-15227	10	1	at	at	ADP
fcis-15227	10	2	the	the	DET
fcis-15227	10	3	same	same	ADJ
fcis-15227	10	4	time	time	NOUN
fcis-15227	10	5	,	,	PUNCT
fcis-15227	10	6	generative	generative	ADJ
fcis-15227	10	7	image	image	NOUN
fcis-15227	10	8	inpainting	inpainte	VERB
fcis-15227	10	9	models	model	NOUN
fcis-15227	10	10	usually	usually	ADV
fcis-15227	10	11	have	have	VERB
fcis-15227	10	12	problems	problem	NOUN
fcis-15227	10	13	such	such	ADJ
fcis-15227	10	14	as	as	ADP
fcis-15227	10	15	training	train	VERB
fcis-15227	10	16	hard	hard	ADJ
fcis-15227	10	17	mode	mode	NOUN
fcis-15227	10	18	collapse	collapse	NOUN
fcis-15227	10	19	during	during	ADP
fcis-15227	10	20	the	the	DET
fcis-15227	10	21	training	training	NOUN
fcis-15227	10	22	process	process	NOUN
fcis-15227	10	23	.	.	PUNCT
fcis-15227	11	1	in	in	ADP
fcis-15227	11	2	this	this	DET
fcis-15227	11	3	paper	paper	NOUN
fcis-15227	11	4	,	,	PUNCT
fcis-15227	11	5	we	we	PRON
fcis-15227	11	6	intend	intend	VERB
fcis-15227	11	7	to	to	PART
fcis-15227	11	8	introduce	introduce	VERB
fcis-15227	11	9	the	the	DET
fcis-15227	11	10	spectral	spectral	ADJ
fcis-15227	11	11	normalization	normalization	NOUN
fcis-15227	11	12	mechanism	mechanism	NOUN
fcis-15227	11	13	in	in	ADP
fcis-15227	11	14	the	the	DET
fcis-15227	11	15	convolutional	convolutional	ADJ
fcis-15227	11	16	layer	layer	NOUN
fcis-15227	11	17	design	design	NOUN
fcis-15227	11	18	of	of	ADP
fcis-15227	11	19	the	the	DET
fcis-15227	11	20	discriminator	discriminator	NOUN
fcis-15227	11	21	module	module	NOUN
fcis-15227	11	22	.	.	PUNCT
fcis-15227	12	1	by	by	ADP
fcis-15227	12	2	introducing	introduce	VERB
fcis-15227	12	3	lipschitz	lipschitz	NOUN
fcis-15227	12	4	continuity	continuity	NOUN
fcis-15227	12	5	constraints	constraint	NOUN
fcis-15227	12	6	from	from	ADP
fcis-15227	12	7	the	the	DET
fcis-15227	12	8	spectral	spectral	ADJ
fcis-15227	12	9	norm	norm	NOUN
fcis-15227	12	10	of	of	ADP
fcis-15227	12	11	the	the	DET
fcis-15227	12	12	parameter	parameter	NOUN
fcis-15227	12	13	matrix	matrix	NOUN
fcis-15227	12	14	of	of	ADP
fcis-15227	12	15	each	each	DET
fcis-15227	12	16	layer	layer	NOUN
fcis-15227	12	17	of	of	ADP
fcis-15227	12	18	the	the	DET
fcis-15227	12	19	neural	neural	ADJ
fcis-15227	12	20	network	network	NOUN
fcis-15227	12	21	,	,	PUNCT
fcis-15227	12	22	the	the	DET
fcis-15227	12	23	neural	neural	ADJ
fcis-15227	12	24	network	network	NOUN
fcis-15227	12	25	is	be	AUX
fcis-15227	12	26	better	well	ADV
fcis-15227	12	27	insensitive	insensitive	ADJ
fcis-15227	12	28	to	to	ADP
fcis-15227	12	29	input	input	NOUN
fcis-15227	12	30	perturbations	perturbation	NOUN
fcis-15227	12	31	,	,	PUNCT
fcis-15227	12	32	making	make	VERB
fcis-15227	12	33	the	the	DET
fcis-15227	12	34	training	training	NOUN
fcis-15227	12	35	process	process	NOUN
fcis-15227	12	36	more	more	ADV
fcis-15227	12	37	stable	stable	ADJ
fcis-15227	12	38	and	and	CCONJ
fcis-15227	12	39	easier	easy	ADJ
fcis-15227	12	40	to	to	PART
fcis-15227	12	41	converge	converge	VERB
fcis-15227	12	42	.	.	PUNCT
fcis-15227	13	1	it	it	PRON
fcis-15227	13	2	solves	solve	VERB
fcis-15227	13	3	the	the	DET
fcis-15227	13	4	problems	problem	NOUN
fcis-15227	13	5	of	of	ADP
fcis-15227	13	6	mode	mode	NOUN
fcis-15227	13	7	collapse	collapse	NOUN
fcis-15227	13	8	and	and	CCONJ
fcis-15227	13	9	model	model	NOUN
fcis-15227	13	10	training	training	NOUN
fcis-15227	13	11	difficulty	difficulty	NOUN
fcis-15227	13	12	in	in	ADP
fcis-15227	13	13	the	the	DET
fcis-15227	13	14	training	training	NOUN
fcis-15227	13	15	of	of	ADP
fcis-15227	13	16	image	image	NOUN
fcis-15227	13	17	inpainting	inpainte	VERB
fcis-15227	13	18	model	model	NOUN
fcis-15227	13	19	based	base	VERB
fcis-15227	13	20	on	on	ADP
fcis-15227	13	21	generative	generative	ADJ
fcis-15227	13	22	adversarial	adversarial	ADJ
fcis-15227	13	23	network	network	NOUN
fcis-15227	13	24	.	.	PUNCT
fcis-15227	14	1	finally	finally	ADV
fcis-15227	14	2	,	,	PUNCT
fcis-15227	14	3	qualitative	qualitative	ADJ
fcis-15227	14	4	and	and	CCONJ
fcis-15227	14	5	quantitative	quantitative	ADJ
fcis-15227	14	6	experiments	experiment	NOUN
fcis-15227	14	7	show	show	VERB
fcis-15227	14	8	that	that	SCONJ
fcis-15227	14	9	the	the	DET
fcis-15227	14	10	image	image	NOUN
fcis-15227	14	11	inpainting	inpainte	VERB
fcis-15227	14	12	model	model	NOUN
fcis-15227	14	13	based	base	VERB
fcis-15227	14	14	on	on	ADP
fcis-15227	14	15	gated	gate	VERB
fcis-15227	14	16	convolution	convolution	NOUN
fcis-15227	14	17	and	and	CCONJ
fcis-15227	14	18	spectral	spectral	ADJ
fcis-15227	14	19	normalization	normalization	NOUN
fcis-15227	14	20	solves	solve	VERB
fcis-15227	14	21	the	the	DET
fcis-15227	14	22	above	above	ADJ
fcis-15227	14	23	problems	problem	NOUN
fcis-15227	14	24	,	,	PUNCT
fcis-15227	14	25	and	and	CCONJ
fcis-15227	14	26	the	the	DET
fcis-15227	14	27	inpainted	inpainte	VERB
fcis-15227	14	28	image	image	NOUN
fcis-15227	14	29	has	have	VERB
fcis-15227	14	30	reasonable	reasonable	ADJ
fcis-15227	14	31	texture	texture	ADJ
fcis-15227	14	32	structure	structure	NOUN
fcis-15227	14	33	and	and	CCONJ
fcis-15227	14	34	contextual	contextual	ADJ
fcis-15227	14	35	semantic	semantic	ADJ
fcis-15227	14	36	information	information	NOUN
fcis-15227	14	37	.	.	PUNCT
fcis-15227	15	1	keywords	keyword	NOUN
fcis-15227	15	2	:	:	PUNCT
fcis-15227	15	3	generate	generate	VERB
fcis-15227	15	4	adversarial	adversarial	ADJ
fcis-15227	15	5	networks	network	NOUN
fcis-15227	15	6	;	;	PUNCT
fcis-15227	15	7	gated	gate	VERB
fcis-15227	15	8	convolution	convolution	NOUN
fcis-15227	15	9	;	;	PUNCT
fcis-15227	15	10	spectral	spectral	ADJ
fcis-15227	15	11	normalization	normalization	NOUN
fcis-15227	15	12	;	;	PUNCT
fcis-15227	15	13	face	face	VERB
fcis-15227	15	14	image	image	NOUN
fcis-15227	15	15	inpainting	inpainting	NOUN
fcis-15227	15	16	.	.	PUNCT
fcis-15227	16	1	1	1	X
fcis-15227	16	2	.	.	X
fcis-15227	16	3	introduction	introduction	NOUN
fcis-15227	16	4	with	with	ADP
fcis-15227	16	5	the	the	DET
fcis-15227	16	6	rapid	rapid	ADJ
fcis-15227	16	7	development	development	NOUN
fcis-15227	16	8	of	of	ADP
fcis-15227	16	9	deep	deep	ADJ
fcis-15227	16	10	learning	learning	NOUN
fcis-15227	16	11	in	in	ADP
fcis-15227	16	12	the	the	DET
fcis-15227	16	13	field	field	NOUN
fcis-15227	16	14	of	of	ADP
fcis-15227	16	15	computer	computer	NOUN
fcis-15227	16	16	vision	vision	NOUN
fcis-15227	16	17	,	,	PUNCT
fcis-15227	16	18	face	face	VERB
fcis-15227	16	19	recognition	recognition	NOUN
fcis-15227	17	1	[	[	X
fcis-15227	17	2	2	2	X
fcis-15227	17	3	]	]	PUNCT
fcis-15227	17	4	discussed	discuss	VERB
fcis-15227	17	5	in	in	ADP
fcis-15227	17	6	this	this	DET
fcis-15227	17	7	paper	paper	NOUN
fcis-15227	17	8	is	be	AUX
fcis-15227	17	9	realized	realize	VERB
fcis-15227	17	10	by	by	ADP
fcis-15227	17	11	extracting	extract	VERB
fcis-15227	17	12	facial	facial	ADJ
fcis-15227	17	13	feature	feature	NOUN
fcis-15227	17	14	information	information	NOUN
fcis-15227	17	15	of	of	ADP
fcis-15227	17	16	face	face	NOUN
fcis-15227	17	17	images	image	NOUN
fcis-15227	17	18	for	for	ADP
fcis-15227	17	19	identification	identification	NOUN
fcis-15227	17	20	.	.	PUNCT
fcis-15227	18	1	because	because	SCONJ
fcis-15227	18	2	of	of	ADP
fcis-15227	18	3	its	its	PRON
fcis-15227	18	4	simplicity	simplicity	NOUN
fcis-15227	18	5	and	and	CCONJ
fcis-15227	18	6	other	other	ADJ
fcis-15227	18	7	characteristics	characteristic	NOUN
fcis-15227	18	8	,	,	PUNCT
fcis-15227	18	9	face	face	NOUN
fcis-15227	18	10	recognition	recognition	NOUN
fcis-15227	18	11	has	have	AUX
fcis-15227	18	12	become	become	VERB
fcis-15227	18	13	a	a	DET
fcis-15227	18	14	hot	hot	ADJ
fcis-15227	18	15	research	research	NOUN
fcis-15227	18	16	field	field	NOUN
fcis-15227	18	17	in	in	ADP
fcis-15227	18	18	the	the	DET
fcis-15227	18	19	field	field	NOUN
fcis-15227	18	20	of	of	ADP
fcis-15227	18	21	biometric	biometric	ADJ
fcis-15227	18	22	recognition	recognition	NOUN
fcis-15227	18	23	.	.	PUNCT
fcis-15227	19	1	in	in	ADP
fcis-15227	19	2	the	the	DET
fcis-15227	19	3	recognition	recognition	NOUN
fcis-15227	19	4	process	process	NOUN
fcis-15227	19	5	,	,	PUNCT
fcis-15227	19	6	the	the	DET
fcis-15227	19	7	face	face	NOUN
fcis-15227	19	8	is	be	AUX
fcis-15227	19	9	blocked	block	VERB
fcis-15227	19	10	due	due	ADP
fcis-15227	19	11	to	to	ADP
fcis-15227	19	12	artificial	artificial	ADJ
fcis-15227	19	13	or	or	CCONJ
fcis-15227	19	14	weather	weather	NOUN
fcis-15227	19	15	factors	factor	NOUN
fcis-15227	19	16	,	,	PUNCT
fcis-15227	19	17	which	which	PRON
fcis-15227	19	18	seriously	seriously	ADV
fcis-15227	19	19	affects	affect	VERB
fcis-15227	19	20	the	the	DET
fcis-15227	19	21	effectiveness	effectiveness	NOUN
fcis-15227	19	22	of	of	ADP
fcis-15227	19	23	biometric	biometric	ADJ
fcis-15227	19	24	information	information	NOUN
fcis-15227	19	25	in	in	ADP
fcis-15227	19	26	the	the	DET
fcis-15227	19	27	image	image	NOUN
fcis-15227	19	28	.	.	PUNCT
fcis-15227	20	1	in	in	ADP
fcis-15227	20	2	view	view	NOUN
fcis-15227	20	3	of	of	ADP
fcis-15227	20	4	the	the	DET
fcis-15227	20	5	above	above	ADJ
fcis-15227	20	6	problems	problem	NOUN
fcis-15227	20	7	,	,	PUNCT
fcis-15227	20	8	image	image	NOUN
fcis-15227	20	9	inpainting	inpainting	NOUN
fcis-15227	20	10	is	be	AUX
fcis-15227	20	11	used	use	VERB
fcis-15227	20	12	to	to	PART
fcis-15227	20	13	complete	complete	VERB
fcis-15227	20	14	face	face	NOUN
fcis-15227	20	15	biometric	biometric	ADJ
fcis-15227	20	16	information	information	NOUN
fcis-15227	20	17	.	.	PUNCT
fcis-15227	21	1	the	the	DET
fcis-15227	21	2	history	history	NOUN
fcis-15227	21	3	of	of	ADP
fcis-15227	21	4	image	image	NOUN
fcis-15227	21	5	inpainting	inpainte	VERB
fcis-15227	21	6	has	have	VERB
fcis-15227	21	7	a	a	DET
fcis-15227	21	8	long	long	ADJ
fcis-15227	21	9	history	history	NOUN
fcis-15227	21	10	from	from	ADP
fcis-15227	21	11	the	the	DET
fcis-15227	21	12	middle	middle	ADJ
fcis-15227	21	13	ages	age	NOUN
fcis-15227	21	14	to	to	ADP
fcis-15227	21	15	now	now	ADV
fcis-15227	21	16	.	.	PUNCT
fcis-15227	22	1	the	the	DET
fcis-15227	22	2	means	mean	NOUN
fcis-15227	22	3	of	of	ADP
fcis-15227	22	4	inpainting	inpainte	VERB
fcis-15227	22	5	has	have	AUX
fcis-15227	22	6	also	also	ADV
fcis-15227	22	7	changed	change	VERB
fcis-15227	22	8	from	from	ADP
fcis-15227	22	9	the	the	DET
fcis-15227	22	10	early	early	ADJ
fcis-15227	22	11	traditional	traditional	ADJ
fcis-15227	22	12	image	image	NOUN
fcis-15227	22	13	inpainting	inpainte	VERB
fcis-15227	22	14	methods	method	NOUN
fcis-15227	22	15	to	to	ADP
fcis-15227	22	16	the	the	DET
fcis-15227	22	17	popular	popular	ADJ
fcis-15227	22	18	image	image	NOUN
fcis-15227	22	19	inpainting	inpainte	VERB
fcis-15227	22	20	methods	method	NOUN
fcis-15227	22	21	based	base	VERB
fcis-15227	22	22	on	on	ADP
fcis-15227	22	23	deep	deep	ADJ
fcis-15227	22	24	learning	learning	NOUN
fcis-15227	22	25	.	.	PUNCT
fcis-15227	23	1	image	image	NOUN
fcis-15227	23	2	inpainting	inpainte	VERB
fcis-15227	23	3	is	be	AUX
fcis-15227	23	4	simply	simply	ADV
fcis-15227	23	5	that	that	SCONJ
fcis-15227	23	6	there	there	PRON
fcis-15227	23	7	is	be	VERB
fcis-15227	23	8	a	a	DET
fcis-15227	23	9	loss	loss	NOUN
fcis-15227	23	10	in	in	ADP
fcis-15227	23	11	one	one	NUM
fcis-15227	23	12	position	position	NOUN
fcis-15227	23	13	of	of	ADP
fcis-15227	23	14	an	an	DET
fcis-15227	23	15	image	image	NOUN
fcis-15227	23	16	,	,	PUNCT
fcis-15227	23	17	and	and	CCONJ
fcis-15227	23	18	other	other	ADJ
fcis-15227	23	19	known	know	VERB
fcis-15227	23	20	reference	reference	NOUN
fcis-15227	23	21	information	information	NOUN
fcis-15227	23	22	is	be	AUX
fcis-15227	23	23	used	use	VERB
fcis-15227	23	24	to	to	PART
fcis-15227	23	25	repair	repair	VERB
fcis-15227	23	26	the	the	DET
fcis-15227	23	27	missing	missing	ADJ
fcis-15227	23	28	area	area	NOUN
fcis-15227	23	29	.	.	PUNCT
fcis-15227	24	1	the	the	DET
fcis-15227	24	2	expected	expect	VERB
fcis-15227	24	3	effect	effect	NOUN
fcis-15227	24	4	of	of	ADP
fcis-15227	24	5	inpainting	inpainte	VERB
fcis-15227	24	6	is	be	AUX
fcis-15227	24	7	that	that	SCONJ
fcis-15227	24	8	human	human	ADJ
fcis-15227	24	9	vision	vision	NOUN
fcis-15227	24	10	can	can	AUX
fcis-15227	24	11	not	not	PART
fcis-15227	24	12	distinguish	distinguish	VERB
fcis-15227	24	13	the	the	DET
fcis-15227	24	14	difference	difference	NOUN
fcis-15227	24	15	between	between	ADP
fcis-15227	24	16	the	the	DET
fcis-15227	24	17	two	two	NUM
fcis-15227	24	18	images	image	NOUN
fcis-15227	24	19	before	before	ADV
fcis-15227	24	20	and	and	CCONJ
fcis-15227	24	21	after	after	ADP
fcis-15227	24	22	inpainting	inpainte	VERB
fcis-15227	24	23	,	,	PUNCT
fcis-15227	24	24	and	and	CCONJ
fcis-15227	24	25	the	the	DET
fcis-15227	24	26	evaluation	evaluation	NOUN
fcis-15227	24	27	criteria	criterion	NOUN
fcis-15227	24	28	of	of	ADP
fcis-15227	24	29	psnr	psnr	NOUN
fcis-15227	24	30	and	and	CCONJ
fcis-15227	24	31	ssim	ssim	NOUN
fcis-15227	24	32	are	be	AUX
fcis-15227	24	33	met	meet	VERB
fcis-15227	24	34	at	at	ADP
fcis-15227	24	35	the	the	DET
fcis-15227	24	36	same	same	ADJ
fcis-15227	24	37	time	time	NOUN
fcis-15227	24	38	.	.	PUNCT
fcis-15227	25	1	since	since	SCONJ
fcis-15227	25	2	the	the	DET
fcis-15227	25	3	generative	generative	ADJ
fcis-15227	25	4	adversarial	adversarial	ADJ
fcis-15227	25	5	network	network	NOUN
fcis-15227	25	6	was	be	AUX
fcis-15227	25	7	proposed	propose	VERB
fcis-15227	25	8	,	,	PUNCT
fcis-15227	25	9	a	a	DET
fcis-15227	25	10	large	large	ADJ
fcis-15227	25	11	number	number	NOUN
fcis-15227	25	12	of	of	ADP
fcis-15227	25	13	image	image	NOUN
fcis-15227	25	14	inpainting	inpainte	VERB
fcis-15227	25	15	models	model	NOUN
fcis-15227	25	16	based	base	VERB
fcis-15227	25	17	on	on	ADP
fcis-15227	25	18	generative	generative	ADJ
fcis-15227	25	19	adversarial	adversarial	ADJ
fcis-15227	25	20	network	network	NOUN
fcis-15227	25	21	have	have	AUX
fcis-15227	25	22	emerged	emerge	VERB
fcis-15227	25	23	in	in	ADP
fcis-15227	25	24	the	the	DET
fcis-15227	25	25	field	field	NOUN
fcis-15227	25	26	of	of	ADP
fcis-15227	25	27	image	image	NOUN
fcis-15227	25	28	restoration	restoration	NOUN
fcis-15227	25	29	,	,	PUNCT
fcis-15227	25	30	which	which	PRON
fcis-15227	25	31	have	have	VERB
fcis-15227	25	32	higher	high	ADJ
fcis-15227	25	33	repair	repair	NOUN
fcis-15227	25	34	efficiency	efficiency	NOUN
fcis-15227	25	35	and	and	CCONJ
fcis-15227	25	36	better	well	ADJ
fcis-15227	25	37	repair	repair	NOUN
fcis-15227	25	38	effect	effect	NOUN
fcis-15227	25	39	than	than	ADP
fcis-15227	25	40	traditional	traditional	ADJ
fcis-15227	25	41	image	image	NOUN
fcis-15227	25	42	restoration	restoration	NOUN
fcis-15227	25	43	methods	method	NOUN
fcis-15227	25	44	.	.	PUNCT
fcis-15227	26	1	context	context	NOUN
fcis-15227	26	2	encoder	encoder	NOUN
fcis-15227	26	3	network	network	NOUN
fcis-15227	26	4	proposed	propose	VERB
fcis-15227	26	5	by	by	ADP
fcis-15227	26	6	pathak	pathak	PROPN
fcis-15227	26	7	et	et	PROPN
fcis-15227	26	8	al	al	PROPN
fcis-15227	26	9	.	.	PROPN
fcis-15227	27	1	in	in	ADP
fcis-15227	27	2	2016	2016	NUM
fcis-15227	27	3	is	be	AUX
fcis-15227	27	4	the	the	DET
fcis-15227	27	5	first	first	ADJ
fcis-15227	27	6	application	application	NOUN
fcis-15227	27	7	of	of	ADP
fcis-15227	27	8	context	context	NOUN
fcis-15227	27	9	encoder	encoder	NOUN
fcis-15227	27	10	network	network	NOUN
fcis-15227	27	11	in	in	ADP
fcis-15227	27	12	the	the	DET
fcis-15227	27	13	field	field	NOUN
fcis-15227	27	14	of	of	ADP
fcis-15227	27	15	image	image	NOUN
fcis-15227	27	16	restoration	restoration	NOUN
fcis-15227	27	17	since	since	SCONJ
fcis-15227	27	18	it	it	PRON
fcis-15227	27	19	was	be	AUX
fcis-15227	27	20	proposed	propose	VERB
fcis-15227	27	21	.	.	PUNCT
fcis-15227	28	1	the	the	DET
fcis-15227	28	2	main	main	ADJ
fcis-15227	28	3	idea	idea	NOUN
fcis-15227	28	4	is	be	AUX
fcis-15227	28	5	to	to	PART
fcis-15227	28	6	combine	combine	VERB
fcis-15227	28	7	the	the	DET
fcis-15227	28	8	encoder	encoder	NOUN
fcis-15227	28	9	structure	structure	NOUN
fcis-15227	28	10	with	with	ADP
fcis-15227	28	11	the	the	DET
fcis-15227	28	12	generative	generative	ADJ
fcis-15227	28	13	adversarial	adversarial	ADJ
fcis-15227	28	14	network	network	NOUN
fcis-15227	28	15	structure	structure	NOUN
fcis-15227	28	16	,	,	PUNCT
fcis-15227	28	17	and	and	CCONJ
fcis-15227	28	18	the	the	DET
fcis-15227	28	19	encoder	encoder	NOUN
fcis-15227	28	20	decoder	decoder	NOUN
fcis-15227	28	21	part	part	NOUN
fcis-15227	28	22	is	be	AUX
fcis-15227	28	23	used	use	VERB
fcis-15227	28	24	to	to	PART
fcis-15227	28	25	learn	learn	VERB
fcis-15227	28	26	image	image	NOUN
fcis-15227	28	27	features	feature	NOUN
fcis-15227	28	28	and	and	CCONJ
fcis-15227	28	29	generate	generate	VERB
fcis-15227	28	30	the	the	DET
fcis-15227	28	31	restoration	restoration	NOUN
fcis-15227	28	32	map	map	NOUN
fcis-15227	28	33	of	of	ADP
fcis-15227	28	34	missing	miss	VERB
fcis-15227	28	35	areas	area	NOUN
fcis-15227	28	36	.	.	PUNCT
fcis-15227	29	1	the	the	DET
fcis-15227	29	2	generated	generate	VERB
fcis-15227	29	3	adversarial	adversarial	ADJ
fcis-15227	29	4	network	network	NOUN
fcis-15227	29	5	part	part	NOUN
fcis-15227	29	6	is	be	AUX
fcis-15227	29	7	used	use	VERB
fcis-15227	29	8	to	to	PART
fcis-15227	29	9	judge	judge	VERB
fcis-15227	29	10	the	the	DET
fcis-15227	29	11	possibility	possibility	NOUN
fcis-15227	29	12	of	of	ADP
fcis-15227	29	13	whether	whether	SCONJ
fcis-15227	29	14	the	the	DET
fcis-15227	29	15	repaired	repair	VERB
fcis-15227	29	16	image	image	NOUN
fcis-15227	29	17	is	be	AUX
fcis-15227	29	18	the	the	DET
fcis-15227	29	19	real	real	ADJ
fcis-15227	29	20	image	image	NOUN
fcis-15227	29	21	.	.	PUNCT
fcis-15227	30	1	when	when	SCONJ
fcis-15227	30	2	the	the	DET
fcis-15227	30	3	discriminator	discriminator	NOUN
fcis-15227	30	4	can	can	AUX
fcis-15227	30	5	not	not	PART
fcis-15227	30	6	judge	judge	VERB
fcis-15227	30	7	whether	whether	SCONJ
fcis-15227	30	8	the	the	DET
fcis-15227	30	9	repaired	repair	VERB
fcis-15227	30	10	image	image	NOUN
fcis-15227	30	11	is	be	AUX
fcis-15227	30	12	the	the	DET
fcis-15227	30	13	real	real	ADJ
fcis-15227	30	14	image	image	NOUN
fcis-15227	30	15	,	,	PUNCT
fcis-15227	30	16	the	the	DET
fcis-15227	30	17	network	network	NOUN
fcis-15227	30	18	model	model	NOUN
fcis-15227	30	19	parameters	parameter	NOUN
fcis-15227	30	20	are	be	AUX
fcis-15227	30	21	considered	consider	VERB
fcis-15227	30	22	to	to	PART
fcis-15227	30	23	have	have	AUX
fcis-15227	30	24	reached	reach	VERB
fcis-15227	30	25	the	the	DET
fcis-15227	30	26	optimal	optimal	ADJ
fcis-15227	30	27	value	value	NOUN
fcis-15227	30	28	.	.	PUNCT
fcis-15227	31	1	however	however	ADV
fcis-15227	31	2	,	,	PUNCT
fcis-15227	31	3	it	it	PRON
fcis-15227	31	4	still	still	ADV
fcis-15227	31	5	has	have	VERB
fcis-15227	31	6	some	some	DET
fcis-15227	31	7	problems	problem	NOUN
fcis-15227	31	8	,	,	PUNCT
fcis-15227	31	9	such	such	ADJ
fcis-15227	31	10	as	as	SCONJ
fcis-15227	31	11	only	only	ADV
fcis-15227	31	12	fixed	fix	VERB
fcis-15227	31	13	size	size	NOUN
fcis-15227	31	14	image	image	NOUN
fcis-15227	31	15	can	can	AUX
fcis-15227	31	16	be	be	AUX
fcis-15227	31	17	repaired	repair	VERB
fcis-15227	31	18	and	and	CCONJ
fcis-15227	31	19	the	the	DET
fcis-15227	31	20	global	global	ADJ
fcis-15227	31	21	area	area	NOUN
fcis-15227	31	22	of	of	ADP
fcis-15227	31	23	image	image	NOUN
fcis-15227	31	24	is	be	AUX
fcis-15227	31	25	ignored	ignore	VERB
fcis-15227	31	26	in	in	ADP
fcis-15227	31	27	the	the	DET
fcis-15227	31	28	process	process	NOUN
fcis-15227	31	29	of	of	ADP
fcis-15227	31	30	repair	repair	NOUN
fcis-15227	31	31	,	,	PUNCT
fcis-15227	31	32	which	which	PRON
fcis-15227	31	33	leads	lead	VERB
fcis-15227	31	34	to	to	ADP
fcis-15227	31	35	blurred	blurred	ADJ
fcis-15227	31	36	edges	edge	NOUN
fcis-15227	31	37	and	and	CCONJ
fcis-15227	31	38	inconsistent	inconsistent	ADJ
fcis-15227	31	39	overall	overall	ADJ
fcis-15227	31	40	structure	structure	NOUN
fcis-15227	31	41	.	.	PUNCT
fcis-15227	32	1	liu	liu	PROPN
fcis-15227	32	2	et	et	PROPN
fcis-15227	32	3	al	al	PROPN
fcis-15227	32	4	.	.	PROPN
fcis-15227	32	5	proposed	propose	VERB
fcis-15227	32	6	a	a	DET
fcis-15227	32	7	model	model	NOUN
fcis-15227	32	8	based	base	VERB
fcis-15227	32	9	on	on	ADP
fcis-15227	32	10	partial	partial	ADJ
fcis-15227	32	11	convolution	convolution	NOUN
fcis-15227	32	12	(	(	PUNCT
fcis-15227	32	13	pconv)[4	pconv)[4	X
fcis-15227	32	14	]	]	PUNCT
fcis-15227	32	15	and	and	CCONJ
fcis-15227	32	16	automatic	automatic	ADJ
fcis-15227	32	17	mask	mask	NOUN
fcis-15227	32	18	renewal	renewal	NOUN
fcis-15227	32	19	to	to	PART
fcis-15227	32	20	identify	identify	VERB
fcis-15227	32	21	missing	missing	ADJ
fcis-15227	32	22	images	image	NOUN
fcis-15227	32	23	.	.	PUNCT
fcis-15227	33	1	compared	compare	VERB
fcis-15227	33	2	with	with	ADP
fcis-15227	33	3	ordinary	ordinary	ADJ
fcis-15227	33	4	convolution	convolution	NOUN
fcis-15227	33	5	,	,	PUNCT
fcis-15227	33	6	partial	partial	ADJ
fcis-15227	33	7	convolution	convolution	NOUN
fcis-15227	33	8	pays	pay	VERB
fcis-15227	33	9	more	more	ADJ
fcis-15227	33	10	attention	attention	NOUN
fcis-15227	33	11	to	to	ADP
fcis-15227	33	12	obtaining	obtain	VERB
fcis-15227	33	13	the	the	DET
fcis-15227	33	14	feature	feature	NOUN
fcis-15227	33	15	information	information	NOUN
fcis-15227	33	16	of	of	ADP
fcis-15227	33	17	the	the	DET
fcis-15227	33	18	complete	complete	ADJ
fcis-15227	33	19	region	region	NOUN
fcis-15227	33	20	of	of	ADP
fcis-15227	33	21	the	the	DET
fcis-15227	33	22	image	image	NOUN
fcis-15227	33	23	.	.	PUNCT
fcis-15227	34	1	however	however	ADV
fcis-15227	34	2	,	,	PUNCT
fcis-15227	34	3	as	as	SCONJ
fcis-15227	34	4	the	the	DET
fcis-15227	34	5	number	number	NOUN
fcis-15227	34	6	of	of	ADP
fcis-15227	34	7	layers	layer	NOUN
fcis-15227	34	8	of	of	ADP
fcis-15227	34	9	the	the	DET
fcis-15227	34	10	neural	neural	ADJ
fcis-15227	34	11	network	network	NOUN
fcis-15227	34	12	deepens	deepen	VERB
fcis-15227	34	13	,	,	PUNCT
fcis-15227	34	14	invalid	invalid	ADJ
fcis-15227	34	15	pixels	pixel	NOUN
fcis-15227	34	16	gradually	gradually	ADV
fcis-15227	34	17	become	become	VERB
fcis-15227	34	18	effective	effective	ADJ
fcis-15227	34	19	pixels	pixel	NOUN
fcis-15227	34	20	,	,	PUNCT
fcis-15227	34	21	resulting	result	VERB
fcis-15227	34	22	in	in	ADP
fcis-15227	34	23	the	the	DET
fcis-15227	34	24	inability	inability	NOUN
fcis-15227	34	25	of	of	ADP
fcis-15227	34	26	the	the	DET
fcis-15227	34	27	deep	deep	ADJ
fcis-15227	34	28	network	network	NOUN
fcis-15227	34	29	to	to	PART
fcis-15227	34	30	learn	learn	VERB
fcis-15227	34	31	the	the	DET
fcis-15227	34	32	relationship	relationship	NOUN
fcis-15227	34	33	between	between	ADP
fcis-15227	34	34	the	the	DET
fcis-15227	34	35	mask	mask	NOUN
fcis-15227	34	36	and	and	CCONJ
fcis-15227	34	37	the	the	DET
fcis-15227	34	38	image	image	NOUN
fcis-15227	34	39	,	,	PUNCT
fcis-15227	34	40	resulting	result	VERB
fcis-15227	34	41	in	in	ADP
fcis-15227	34	42	boundary	boundary	ADJ
fcis-15227	34	43	artifacts	artifact	NOUN
fcis-15227	34	44	and	and	CCONJ
fcis-15227	34	45	local	local	ADJ
fcis-15227	34	46	color	color	NOUN
fcis-15227	34	47	difference	difference	NOUN
fcis-15227	34	48	problems	problem	NOUN
fcis-15227	34	49	in	in	ADP
fcis-15227	34	50	the	the	DET
fcis-15227	34	51	repaired	repair	VERB
fcis-15227	34	52	image	image	NOUN
fcis-15227	34	53	.	.	PUNCT
fcis-15227	35	1	at	at	ADP
fcis-15227	35	2	the	the	DET
fcis-15227	35	3	same	same	ADJ
fcis-15227	35	4	time	time	NOUN
fcis-15227	35	5	,	,	PUNCT
fcis-15227	35	6	most	most	ADJ
fcis-15227	35	7	of	of	ADP
fcis-15227	35	8	the	the	DET
fcis-15227	35	9	image	image	NOUN
fcis-15227	35	10	restoration	restoration	NOUN
fcis-15227	35	11	methods	method	NOUN
fcis-15227	35	12	based	base	VERB
fcis-15227	35	13	on	on	ADP
fcis-15227	35	14	generative	generative	ADJ
fcis-15227	35	15	adversarial	adversarial	ADJ
fcis-15227	35	16	network	network	NOUN
fcis-15227	35	17	have	have	VERB
fcis-15227	35	18	the	the	DET
fcis-15227	35	19	disadvantages	disadvantage	NOUN
fcis-15227	35	20	of	of	ADP
fcis-15227	35	21	generative	generative	ADJ
fcis-15227	35	22	adversarial	adversarial	ADJ
fcis-15227	35	23	network	network	NOUN
fcis-15227	35	24	,	,	PUNCT
fcis-15227	35	25	such	such	ADJ
fcis-15227	35	26	as	as	ADP
fcis-15227	35	27	difficult	difficult	ADJ
fcis-15227	35	28	training	training	NOUN
fcis-15227	35	29	and	and	CCONJ
fcis-15227	35	30	easy	easy	ADJ
fcis-15227	35	31	mode	mode	NOUN
fcis-15227	35	32	collapse	collapse	NOUN
fcis-15227	35	33	.	.	PUNCT
fcis-15227	36	1	in	in	ADP
fcis-15227	36	2	order	order	NOUN
fcis-15227	36	3	to	to	PART
fcis-15227	36	4	solve	solve	VERB
fcis-15227	36	5	the	the	DET
fcis-15227	36	6	problem	problem	NOUN
fcis-15227	36	7	of	of	ADP
fcis-15227	36	8	repairing	repair	VERB
fcis-15227	36	9	broken	broken	ADJ
fcis-15227	36	10	face	face	NOUN
fcis-15227	36	11	images	image	NOUN
fcis-15227	36	12	,	,	PUNCT
fcis-15227	36	13	this	this	DET
fcis-15227	36	14	paper	paper	NOUN
fcis-15227	36	15	proposes	propose	VERB
fcis-15227	36	16	a	a	DET
fcis-15227	36	17	mgs	mgs	NOUN
fcis-15227	36	18	-	-	PUNCT
fcis-15227	36	19	iim	iim	NOUN
fcis-15227	36	20	(	(	PUNCT
fcis-15227	36	21	merge	merge	NOUN
fcis-15227	36	22	gated	gate	VERB
fcis-15227	36	23	97	97	NUM
fcis-15227	36	24	convolution	convolution	NOUN
fcis-15227	36	25	with	with	ADP
fcis-15227	36	26	spectrum	spectrum	NOUN
fcis-15227	36	27	normalization	normalization	NOUN
fcis-15227	36	28	image	image	NOUN
fcis-15227	36	29	inpainting	inpainte	VERB
fcis-15227	36	30	model	model	NOUN
fcis-15227	36	31	)	)	PUNCT
fcis-15227	36	32	fusion	fusion	NOUN
fcis-15227	36	33	gated	gate	VERB
fcis-15227	36	34	convolution	convolution	NOUN
fcis-15227	36	35	with	with	ADP
fcis-15227	36	36	spectral	spectral	ADJ
fcis-15227	36	37	normalization	normalization	NOUN
fcis-15227	36	38	image	image	NOUN
fcis-15227	36	39	repair	repair	NOUN
fcis-15227	36	40	model	model	NOUN
fcis-15227	36	41	,	,	PUNCT
fcis-15227	36	42	which	which	PRON
fcis-15227	36	43	mainly	mainly	ADV
fcis-15227	36	44	consists	consist	VERB
fcis-15227	36	45	of	of	ADP
fcis-15227	36	46	an	an	DET
fcis-15227	36	47	image	image	NOUN
fcis-15227	36	48	repair	repair	NOUN
fcis-15227	36	49	module	module	NOUN
fcis-15227	36	50	and	and	CCONJ
fcis-15227	36	51	a	a	DET
fcis-15227	36	52	dual	dual	ADJ
fcis-15227	36	53	discriminator	discriminator	NOUN
fcis-15227	36	54	module	module	NOUN
fcis-15227	36	55	.	.	PUNCT
fcis-15227	37	1	we	we	PRON
fcis-15227	37	2	will	will	AUX
fcis-15227	37	3	note	note	VERB
fcis-15227	37	4	below	below	ADP
fcis-15227	37	5	the	the	DET
fcis-15227	37	6	innovations	innovation	NOUN
fcis-15227	37	7	proposed	propose	VERB
fcis-15227	37	8	in	in	ADP
fcis-15227	37	9	this	this	DET
fcis-15227	37	10	paper	paper	NOUN
fcis-15227	37	11	and	and	CCONJ
fcis-15227	37	12	validate	validate	VERB
fcis-15227	37	13	our	our	PRON
fcis-15227	37	14	deep	deep	ADJ
fcis-15227	37	15	learning	learn	VERB
fcis-15227	37	16	image	image	NOUN
fcis-15227	37	17	restoration	restoration	NOUN
fcis-15227	37	18	model	model	NOUN
fcis-15227	37	19	with	with	ADP
fcis-15227	37	20	qualitative	qualitative	ADJ
fcis-15227	37	21	and	and	CCONJ
fcis-15227	37	22	quantitative	quantitative	ADJ
fcis-15227	37	23	experiments	experiment	NOUN
fcis-15227	37	24	.	.	PUNCT
fcis-15227	38	1	figure	figure	NOUN
fcis-15227	38	2	1	1	NUM
fcis-15227	38	3	shows	show	VERB
fcis-15227	38	4	the	the	DET
fcis-15227	38	5	process	process	NOUN
fcis-15227	38	6	of	of	ADP
fcis-15227	38	7	face	face	NOUN
fcis-15227	38	8	image	image	NOUN
fcis-15227	38	9	restoration	restoration	NOUN
fcis-15227	38	10	.	.	PUNCT
fcis-15227	39	1	figure	figure	NOUN
fcis-15227	39	2	1	1	NUM
fcis-15227	39	3	.	.	PUNCT
fcis-15227	39	4	image	image	NOUN
fcis-15227	39	5	repair	repair	NOUN
fcis-15227	39	6	process	process	NOUN
fcis-15227	39	7	diagram	diagram	NOUN
fcis-15227	39	8	2	2	NUM
fcis-15227	39	9	.	.	PUNCT
fcis-15227	39	10	related	relate	VERB
fcis-15227	39	11	work	work	NOUN
fcis-15227	39	12	the	the	DET
fcis-15227	39	13	main	main	ADJ
fcis-15227	39	14	purpose	purpose	NOUN
fcis-15227	39	15	of	of	ADP
fcis-15227	39	16	image	image	NOUN
fcis-15227	39	17	repair	repair	NOUN
fcis-15227	39	18	is	be	AUX
fcis-15227	39	19	to	to	PART
fcis-15227	39	20	repair	repair	VERB
fcis-15227	39	21	the	the	DET
fcis-15227	39	22	damaged	damage	VERB
fcis-15227	39	23	area	area	NOUN
fcis-15227	39	24	in	in	ADP
fcis-15227	39	25	the	the	DET
fcis-15227	39	26	damaged	damage	VERB
fcis-15227	39	27	image	image	NOUN
fcis-15227	39	28	and	and	CCONJ
fcis-15227	39	29	the	the	DET
fcis-15227	39	30	repair	repair	NOUN
fcis-15227	39	31	effect	effect	NOUN
fcis-15227	39	32	is	be	AUX
fcis-15227	39	33	consistent	consistent	ADJ
fcis-15227	39	34	with	with	ADP
fcis-15227	39	35	the	the	DET
fcis-15227	39	36	surrounding	surround	VERB
fcis-15227	39	37	scene	scene	NOUN
fcis-15227	39	38	.	.	PUNCT
fcis-15227	40	1	with	with	ADP
fcis-15227	40	2	the	the	DET
fcis-15227	40	3	continuous	continuous	ADJ
fcis-15227	40	4	cultivation	cultivation	NOUN
fcis-15227	40	5	of	of	ADP
fcis-15227	40	6	deep	deep	ADJ
fcis-15227	40	7	learning	learning	NOUN
fcis-15227	40	8	in	in	ADP
fcis-15227	40	9	recent	recent	ADJ
fcis-15227	40	10	years	year	NOUN
fcis-15227	40	11	,	,	PUNCT
fcis-15227	40	12	image	image	NOUN
fcis-15227	40	13	repair	repair	NOUN
fcis-15227	40	14	technology	technology	NOUN
fcis-15227	40	15	has	have	AUX
fcis-15227	40	16	also	also	ADV
fcis-15227	40	17	been	be	AUX
fcis-15227	40	18	continuously	continuously	ADV
fcis-15227	40	19	developed	develop	VERB
fcis-15227	40	20	,	,	PUNCT
fcis-15227	40	21	and	and	CCONJ
fcis-15227	40	22	has	have	AUX
fcis-15227	40	23	been	be	AUX
fcis-15227	40	24	widely	widely	ADV
fcis-15227	40	25	used	use	VERB
fcis-15227	40	26	in	in	ADP
fcis-15227	40	27	computer	computer	NOUN
fcis-15227	40	28	vision	vision	NOUN
fcis-15227	40	29	related	relate	VERB
fcis-15227	40	30	fields	field	NOUN
fcis-15227	40	31	.	.	PUNCT
fcis-15227	41	1	from	from	ADP
fcis-15227	41	2	the	the	DET
fcis-15227	41	3	technical	technical	ADJ
fcis-15227	41	4	level	level	NOUN
fcis-15227	41	5	,	,	PUNCT
fcis-15227	41	6	image	image	NOUN
fcis-15227	41	7	restoration	restoration	NOUN
fcis-15227	41	8	is	be	AUX
fcis-15227	41	9	mainly	mainly	ADV
fcis-15227	41	10	divided	divide	VERB
fcis-15227	41	11	into	into	ADP
fcis-15227	41	12	two	two	NUM
fcis-15227	41	13	categories	category	NOUN
fcis-15227	41	14	,	,	PUNCT
fcis-15227	41	15	image	image	NOUN
fcis-15227	41	16	restoration	restoration	NOUN
fcis-15227	41	17	based	base	VERB
fcis-15227	41	18	on	on	ADP
fcis-15227	41	19	traditional	traditional	ADJ
fcis-15227	41	20	methods	method	NOUN
fcis-15227	41	21	and	and	CCONJ
fcis-15227	41	22	image	image	NOUN
fcis-15227	41	23	restoration	restoration	NOUN
fcis-15227	41	24	based	base	VERB
fcis-15227	41	25	on	on	ADP
fcis-15227	41	26	deep	deep	ADJ
fcis-15227	41	27	learning	learning	NOUN
fcis-15227	41	28	.	.	PUNCT
fcis-15227	42	1	this	this	DET
fcis-15227	42	2	section	section	NOUN
fcis-15227	42	3	will	will	AUX
fcis-15227	42	4	briefly	briefly	ADV
fcis-15227	42	5	explain	explain	VERB
fcis-15227	42	6	image	image	NOUN
fcis-15227	42	7	restoration	restoration	NOUN
fcis-15227	42	8	based	base	VERB
fcis-15227	42	9	on	on	ADP
fcis-15227	42	10	traditional	traditional	ADJ
fcis-15227	42	11	methods	method	NOUN
fcis-15227	42	12	and	and	CCONJ
fcis-15227	42	13	deep	deep	ADJ
fcis-15227	42	14	learning	learning	NOUN
fcis-15227	42	15	methods	method	NOUN
fcis-15227	42	16	.	.	PUNCT
fcis-15227	43	1	2.1	2.1	NUM
fcis-15227	43	2	.	.	PUNCT
fcis-15227	44	1	traditional	traditional	ADJ
fcis-15227	44	2	image	image	NOUN
fcis-15227	44	3	inpainting	inpainte	VERB
fcis-15227	44	4	methods	method	NOUN
fcis-15227	44	5	in	in	ADP
fcis-15227	44	6	a	a	DET
fcis-15227	44	7	broad	broad	ADJ
fcis-15227	44	8	sense	sense	NOUN
fcis-15227	44	9	,	,	PUNCT
fcis-15227	44	10	the	the	DET
fcis-15227	44	11	traditional	traditional	ADJ
fcis-15227	44	12	image	image	NOUN
fcis-15227	44	13	restoration	restoration	NOUN
fcis-15227	44	14	methods	method	NOUN
fcis-15227	44	15	can	can	AUX
fcis-15227	44	16	be	be	AUX
fcis-15227	44	17	divided	divide	VERB
fcis-15227	44	18	into	into	ADP
fcis-15227	44	19	two	two	NUM
fcis-15227	44	20	categories	category	NOUN
fcis-15227	44	21	:	:	PUNCT
fcis-15227	44	22	sample	sample	NOUN
fcis-15227	44	23	-	-	PUNCT
fcis-15227	44	24	based	base	VERB
fcis-15227	44	25	image	image	NOUN
fcis-15227	44	26	restoration	restoration	NOUN
fcis-15227	44	27	methods	method	NOUN
fcis-15227	44	28	and	and	CCONJ
fcis-15227	44	29	diffusion	diffusion	NOUN
fcis-15227	44	30	-	-	PUNCT
fcis-15227	44	31	based	base	VERB
fcis-15227	44	32	image	image	NOUN
fcis-15227	44	33	restoration	restoration	NOUN
fcis-15227	44	34	methods	method	NOUN
fcis-15227	44	35	.	.	PUNCT
fcis-15227	45	1	the	the	DET
fcis-15227	45	2	main	main	ADJ
fcis-15227	45	3	idea	idea	NOUN
fcis-15227	45	4	of	of	ADP
fcis-15227	45	5	these	these	DET
fcis-15227	45	6	two	two	NUM
fcis-15227	45	7	methods	method	NOUN
fcis-15227	45	8	is	be	AUX
fcis-15227	45	9	to	to	PART
fcis-15227	45	10	deduce	deduce	VERB
fcis-15227	45	11	the	the	DET
fcis-15227	45	12	unknown	unknown	ADJ
fcis-15227	45	13	information	information	NOUN
fcis-15227	45	14	in	in	ADP
fcis-15227	45	15	the	the	DET
fcis-15227	45	16	damaged	damage	VERB
fcis-15227	45	17	area	area	NOUN
fcis-15227	45	18	according	accord	VERB
fcis-15227	45	19	to	to	ADP
fcis-15227	45	20	the	the	DET
fcis-15227	45	21	similarity	similarity	NOUN
fcis-15227	45	22	between	between	ADP
fcis-15227	45	23	pixels	pixel	NOUN
fcis-15227	45	24	,	,	PUNCT
fcis-15227	45	25	and	and	CCONJ
fcis-15227	45	26	then	then	ADV
fcis-15227	45	27	use	use	VERB
fcis-15227	45	28	the	the	DET
fcis-15227	45	29	broadcast	broadcast	NOUN
fcis-15227	45	30	mechanism	mechanism	NOUN
fcis-15227	45	31	to	to	PART
fcis-15227	45	32	propagate	propagate	VERB
fcis-15227	45	33	the	the	DET
fcis-15227	45	34	generated	generate	VERB
fcis-15227	45	35	pixels	pixel	NOUN
fcis-15227	45	36	,	,	PUNCT
fcis-15227	45	37	so	so	SCONJ
fcis-15227	45	38	as	as	SCONJ
fcis-15227	45	39	to	to	PART
fcis-15227	45	40	complete	complete	VERB
fcis-15227	45	41	the	the	DET
fcis-15227	45	42	image	image	NOUN
fcis-15227	45	43	repair	repair	NOUN
fcis-15227	45	44	work	work	NOUN
fcis-15227	45	45	.	.	PUNCT
fcis-15227	46	1	2.1.1	2.1.1	X
fcis-15227	46	2	.	.	PUNCT
fcis-15227	46	3	texture	texture	NOUN
fcis-15227	46	4	based	base	VERB
fcis-15227	46	5	image	image	NOUN
fcis-15227	46	6	inpainting	inpainte	VERB
fcis-15227	46	7	the	the	DET
fcis-15227	46	8	so	so	ADV
fcis-15227	46	9	-	-	PUNCT
fcis-15227	46	10	called	call	VERB
fcis-15227	46	11	texture	texture	NOUN
fcis-15227	46	12	is	be	AUX
fcis-15227	46	13	a	a	DET
fcis-15227	46	14	smooth	smooth	ADJ
fcis-15227	46	15	distribution	distribution	NOUN
fcis-15227	46	16	of	of	ADP
fcis-15227	46	17	visual	visual	ADJ
fcis-15227	46	18	patterns	pattern	NOUN
fcis-15227	46	19	on	on	ADP
fcis-15227	46	20	a	a	DET
fcis-15227	46	21	two	two	NUM
fcis-15227	46	22	-	-	PUNCT
fcis-15227	46	23	dimensional	dimensional	ADJ
fcis-15227	46	24	plane	plane	NOUN
fcis-15227	46	25	.	.	PUNCT
fcis-15227	47	1	early	early	ADJ
fcis-15227	47	2	image	image	NOUN
fcis-15227	47	3	restoration	restoration	NOUN
fcis-15227	47	4	methods	method	NOUN
fcis-15227	47	5	based	base	VERB
fcis-15227	47	6	on	on	ADP
fcis-15227	47	7	texture	texture	ADJ
fcis-15227	47	8	synthesis	synthesis	NOUN
fcis-15227	47	9	usually	usually	ADV
fcis-15227	47	10	used	use	VERB
fcis-15227	47	11	statistics	statistic	NOUN
fcis-15227	47	12	and	and	CCONJ
fcis-15227	47	13	other	other	ADJ
fcis-15227	47	14	relevant	relevant	ADJ
fcis-15227	47	15	knowledge	knowledge	NOUN
fcis-15227	47	16	to	to	PART
fcis-15227	47	17	repair	repair	VERB
fcis-15227	47	18	and	and	CCONJ
fcis-15227	47	19	fill	fill	VERB
fcis-15227	47	20	missing	miss	VERB
fcis-15227	47	21	areas	area	NOUN
fcis-15227	47	22	,	,	PUNCT
fcis-15227	47	23	such	such	ADJ
fcis-15227	47	24	as	as	ADP
fcis-15227	47	25	markov	markov	NOUN
fcis-15227	47	26	[	[	X
fcis-15227	47	27	7	7	NUM
fcis-15227	47	28	]	]	X
fcis-15227	47	29	random	random	ADJ
fcis-15227	47	30	fields	field	NOUN
fcis-15227	47	31	(	(	PUNCT
fcis-15227	47	32	mrf	mrf	PROPN
fcis-15227	47	33	)	)	PUNCT
fcis-15227	47	34	and	and	CCONJ
fcis-15227	47	35	gaussian	gaussian	ADJ
fcis-15227	47	36	pyramidbased	pyramidbase	VERB
fcis-15227	47	37	models	model	NOUN
fcis-15227	47	38	.	.	PUNCT
fcis-15227	48	1	however	however	ADV
fcis-15227	48	2	,	,	PUNCT
fcis-15227	48	3	the	the	DET
fcis-15227	48	4	relationship	relationship	NOUN
fcis-15227	48	5	between	between	ADP
fcis-15227	48	6	similar	similar	ADJ
fcis-15227	48	7	patches	patch	NOUN
fcis-15227	48	8	and	and	CCONJ
fcis-15227	48	9	missing	miss	VERB
fcis-15227	48	10	regions	region	NOUN
fcis-15227	48	11	is	be	AUX
fcis-15227	48	12	ignored	ignore	VERB
fcis-15227	48	13	,	,	PUNCT
fcis-15227	48	14	so	so	CCONJ
fcis-15227	48	15	different	different	ADJ
fcis-15227	48	16	scholars	scholar	NOUN
fcis-15227	48	17	have	have	AUX
fcis-15227	48	18	made	make	VERB
fcis-15227	48	19	improvements	improvement	NOUN
fcis-15227	48	20	to	to	ADP
fcis-15227	48	21	the	the	DET
fcis-15227	48	22	matching	matching	NOUN
fcis-15227	48	23	degree	degree	NOUN
fcis-15227	48	24	problem	problem	NOUN
fcis-15227	48	25	.	.	PUNCT
fcis-15227	49	1	wei	wei	PROPN
fcis-15227	49	2	et	et	PROPN
fcis-15227	49	3	al	al	PROPN
fcis-15227	49	4	.	.	PROPN
fcis-15227	49	5	proposed	propose	VERB
fcis-15227	49	6	a	a	DET
fcis-15227	49	7	restoration	restoration	NOUN
fcis-15227	49	8	model	model	NOUN
fcis-15227	49	9	similar	similar	ADJ
fcis-15227	49	10	to	to	ADP
fcis-15227	49	11	pyramid	pyramid	NOUN
fcis-15227	49	12	,	,	PUNCT
fcis-15227	49	13	which	which	PRON
fcis-15227	49	14	uses	use	VERB
fcis-15227	49	15	tree	tree	NOUN
fcis-15227	49	16	vector	vector	NOUN
fcis-15227	49	17	quantization	quantization	NOUN
fcis-15227	49	18	(	(	PUNCT
fcis-15227	49	19	tsvq	tsvq	NOUN
fcis-15227	49	20	)	)	PUNCT
fcis-15227	49	21	to	to	PART
fcis-15227	49	22	search	search	VERB
fcis-15227	49	23	global	global	ADJ
fcis-15227	49	24	variables	variable	NOUN
fcis-15227	49	25	to	to	PART
fcis-15227	49	26	improve	improve	VERB
fcis-15227	49	27	the	the	DET
fcis-15227	49	28	speed	speed	NOUN
fcis-15227	49	29	of	of	ADP
fcis-15227	49	30	searching	search	VERB
fcis-15227	49	31	similar	similar	ADJ
fcis-15227	49	32	textures	texture	NOUN
fcis-15227	49	33	.	.	PUNCT
fcis-15227	50	1	at	at	ADP
fcis-15227	50	2	the	the	DET
fcis-15227	50	3	same	same	ADJ
fcis-15227	50	4	time	time	NOUN
fcis-15227	50	5	,	,	PUNCT
fcis-15227	50	6	by	by	ADP
fcis-15227	50	7	strengthening	strengthen	VERB
fcis-15227	50	8	the	the	DET
fcis-15227	50	9	matching	matching	NOUN
fcis-15227	50	10	degree	degree	NOUN
fcis-15227	50	11	between	between	ADP
fcis-15227	50	12	local	local	ADJ
fcis-15227	50	13	features	feature	NOUN
fcis-15227	50	14	to	to	PART
fcis-15227	50	15	further	far	ADV
fcis-15227	50	16	improve	improve	VERB
fcis-15227	50	17	the	the	DET
fcis-15227	50	18	repair	repair	NOUN
fcis-15227	50	19	effect	effect	NOUN
fcis-15227	50	20	,	,	PUNCT
fcis-15227	50	21	the	the	DET
fcis-15227	50	22	specific	specific	ADJ
fcis-15227	50	23	implementation	implementation	NOUN
fcis-15227	50	24	of	of	ADP
fcis-15227	50	25	the	the	DET
fcis-15227	50	26	calculation	calculation	NOUN
fcis-15227	50	27	of	of	ADP
fcis-15227	50	28	image	image	NOUN
fcis-15227	50	29	gradient	gradient	NOUN
fcis-15227	50	30	and	and	CCONJ
fcis-15227	50	31	statistics	statistic	NOUN
fcis-15227	50	32	of	of	ADP
fcis-15227	50	33	similar	similar	ADJ
fcis-15227	50	34	patch	patch	NOUN
fcis-15227	50	35	offset	offset	NOUN
fcis-15227	50	36	and	and	CCONJ
fcis-15227	50	37	other	other	ADJ
fcis-15227	50	38	methods	method	NOUN
fcis-15227	50	39	.	.	PUNCT
fcis-15227	51	1	in	in	ADP
fcis-15227	51	2	general	general	ADJ
fcis-15227	51	3	,	,	PUNCT
fcis-15227	51	4	most	most	ADJ
fcis-15227	51	5	of	of	ADP
fcis-15227	51	6	the	the	DET
fcis-15227	51	7	methods	method	NOUN
fcis-15227	51	8	based	base	VERB
fcis-15227	51	9	on	on	ADP
fcis-15227	51	10	texture	texture	ADJ
fcis-15227	51	11	synthesis	synthesis	NOUN
fcis-15227	51	12	use	use	NOUN
fcis-15227	51	13	the	the	DET
fcis-15227	51	14	global	global	ADJ
fcis-15227	51	15	search	search	NOUN
fcis-15227	51	16	of	of	ADP
fcis-15227	51	17	texture	texture	ADJ
fcis-15227	51	18	patches	patch	NOUN
fcis-15227	51	19	to	to	PART
fcis-15227	51	20	obtain	obtain	VERB
fcis-15227	51	21	similar	similar	ADJ
fcis-15227	51	22	patches	patch	NOUN
fcis-15227	51	23	,	,	PUNCT
fcis-15227	51	24	and	and	CCONJ
fcis-15227	51	25	the	the	DET
fcis-15227	51	26	patch	patch	ADJ
fcis-15227	51	27	source	source	NOUN
fcis-15227	51	28	can	can	AUX
fcis-15227	51	29	be	be	AUX
fcis-15227	51	30	the	the	DET
fcis-15227	51	31	original	original	ADJ
fcis-15227	51	32	image	image	NOUN
fcis-15227	51	33	or	or	CCONJ
fcis-15227	51	34	external	external	ADJ
fcis-15227	51	35	database	database	NOUN
fcis-15227	51	36	.	.	PUNCT
fcis-15227	52	1	however	however	ADV
fcis-15227	52	2	,	,	PUNCT
fcis-15227	52	3	due	due	ADP
fcis-15227	52	4	to	to	ADP
fcis-15227	52	5	the	the	DET
fcis-15227	52	6	complexity	complexity	NOUN
fcis-15227	52	7	of	of	ADP
fcis-15227	52	8	texture	texture	ADJ
fcis-15227	52	9	structure	structure	NOUN
fcis-15227	52	10	,	,	PUNCT
fcis-15227	52	11	uncertainty	uncertainty	NOUN
fcis-15227	52	12	and	and	CCONJ
fcis-15227	52	13	the	the	DET
fcis-15227	52	14	limitation	limitation	NOUN
fcis-15227	52	15	of	of	ADP
fcis-15227	52	16	sample	sample	NOUN
fcis-15227	52	17	number	number	NOUN
fcis-15227	52	18	,	,	PUNCT
fcis-15227	52	19	the	the	DET
fcis-15227	52	20	restoration	restoration	NOUN
fcis-15227	52	21	result	result	NOUN
fcis-15227	52	22	of	of	ADP
fcis-15227	52	23	this	this	DET
fcis-15227	52	24	method	method	NOUN
fcis-15227	52	25	is	be	AUX
fcis-15227	52	26	likely	likely	ADJ
fcis-15227	52	27	to	to	PART
fcis-15227	52	28	have	have	VERB
fcis-15227	52	29	the	the	DET
fcis-15227	52	30	phenomenon	phenomenon	NOUN
fcis-15227	52	31	of	of	ADP
fcis-15227	52	32	pixel	pixel	PROPN
fcis-15227	52	33	discontinuity	discontinuity	NOUN
fcis-15227	52	34	visible	visible	ADJ
fcis-15227	52	35	to	to	ADP
fcis-15227	52	36	the	the	DET
fcis-15227	52	37	naked	naked	ADJ
fcis-15227	52	38	eye	eye	NOUN
fcis-15227	52	39	.	.	PUNCT
fcis-15227	53	1	2.2	2.2	NUM
fcis-15227	53	2	.	.	PUNCT
fcis-15227	53	3	image	image	NOUN
fcis-15227	53	4	inpainting	inpainte	VERB
fcis-15227	53	5	method	method	NOUN
fcis-15227	53	6	based	base	VERB
fcis-15227	53	7	on	on	ADP
fcis-15227	53	8	deep	deep	ADJ
fcis-15227	53	9	learning	learn	VERB
fcis-15227	53	10	making	make	VERB
fcis-15227	53	11	machines	machine	NOUN
fcis-15227	53	12	,	,	PUNCT
fcis-15227	53	13	like	like	ADP
fcis-15227	53	14	humans	human	NOUN
fcis-15227	53	15	,	,	PUNCT
fcis-15227	53	16	able	able	ADJ
fcis-15227	53	17	to	to	PART
fcis-15227	53	18	extract	extract	VERB
fcis-15227	53	19	effective	effective	ADJ
fcis-15227	53	20	information	information	NOUN
fcis-15227	53	21	from	from	ADP
fcis-15227	53	22	pictures	picture	NOUN
fcis-15227	53	23	that	that	PRON
fcis-15227	53	24	can	can	AUX
fcis-15227	53	25	represent	represent	VERB
fcis-15227	53	26	the	the	DET
fcis-15227	53	27	whole	whole	ADJ
fcis-15227	53	28	picture	picture	NOUN
fcis-15227	53	29	is	be	AUX
fcis-15227	53	30	the	the	DET
fcis-15227	53	31	design	design	NOUN
fcis-15227	53	32	motivation	motivation	NOUN
fcis-15227	53	33	of	of	ADP
fcis-15227	53	34	autoencoders	autoencoder	NOUN
fcis-15227	53	35	.	.	PUNCT
fcis-15227	54	1	image	image	NOUN
fcis-15227	54	2	repair	repair	NOUN
fcis-15227	54	3	methods	method	NOUN
fcis-15227	54	4	based	base	VERB
fcis-15227	54	5	on	on	ADP
fcis-15227	54	6	cnn	cnn	PROPN
fcis-15227	54	7	[	[	X
fcis-15227	54	8	3	3	X
fcis-15227	54	9	]	]	PUNCT
fcis-15227	54	10	occupy	occupy	VERB
fcis-15227	54	11	the	the	DET
fcis-15227	54	12	mainstream	mainstream	NOUN
fcis-15227	54	13	research	research	NOUN
fcis-15227	54	14	direction	direction	NOUN
fcis-15227	54	15	in	in	ADP
fcis-15227	54	16	the	the	DET
fcis-15227	54	17	early	early	ADJ
fcis-15227	54	18	deep	deep	ADJ
fcis-15227	54	19	learning	learn	VERB
fcis-15227	54	20	image	image	NOUN
fcis-15227	54	21	repair	repair	NOUN
fcis-15227	54	22	methods	method	NOUN
fcis-15227	54	23	.	.	PUNCT
fcis-15227	55	1	in	in	ADP
fcis-15227	55	2	recent	recent	ADJ
fcis-15227	55	3	years	year	NOUN
fcis-15227	55	4	,	,	PUNCT
fcis-15227	55	5	researchers	researcher	NOUN
fcis-15227	55	6	have	have	AUX
fcis-15227	55	7	applied	apply	VERB
fcis-15227	55	8	the	the	DET
fcis-15227	55	9	encoder	encoder	NOUN
fcis-15227	55	10	-	-	PUNCT
fcis-15227	55	11	decoder	decoder	NOUN
fcis-15227	55	12	structure	structure	NOUN
fcis-15227	55	13	in	in	ADP
fcis-15227	55	14	self	self	NOUN
fcis-15227	55	15	-	-	PUNCT
fcis-15227	55	16	coding	code	VERB
fcis-15227	55	17	networks	network	NOUN
fcis-15227	55	18	to	to	ADP
fcis-15227	55	19	image	image	NOUN
fcis-15227	55	20	restoration	restoration	NOUN
fcis-15227	55	21	tasks	task	NOUN
fcis-15227	55	22	.	.	PUNCT
fcis-15227	56	1	compared	compare	VERB
fcis-15227	56	2	with	with	ADP
fcis-15227	56	3	the	the	DET
fcis-15227	56	4	low	low	ADJ
fcis-15227	56	5	dimensional	dimensional	ADJ
fcis-15227	56	6	features	feature	NOUN
fcis-15227	56	7	at	at	ADP
fcis-15227	56	8	the	the	DET
fcis-15227	56	9	pixel	pixel	ADJ
fcis-15227	56	10	level	level	NOUN
fcis-15227	56	11	in	in	ADP
fcis-15227	56	12	the	the	DET
fcis-15227	56	13	early	early	ADJ
fcis-15227	56	14	studies	study	NOUN
fcis-15227	56	15	of	of	ADP
fcis-15227	56	16	deep	deep	ADJ
fcis-15227	56	17	learning	learning	NOUN
fcis-15227	56	18	-	-	PUNCT
fcis-15227	56	19	based	base	VERB
fcis-15227	56	20	image	image	NOUN
fcis-15227	56	21	restoration	restoration	NOUN
fcis-15227	56	22	methods	method	NOUN
fcis-15227	56	23	,	,	PUNCT
fcis-15227	56	24	autoencoders	autoencoder	NOUN
fcis-15227	56	25	focus	focus	VERB
fcis-15227	56	26	on	on	ADP
fcis-15227	56	27	the	the	DET
fcis-15227	56	28	effective	effective	ADJ
fcis-15227	56	29	information	information	NOUN
fcis-15227	56	30	at	at	ADP
fcis-15227	56	31	higher	high	ADJ
fcis-15227	56	32	dimensions	dimension	NOUN
fcis-15227	56	33	.	.	PUNCT
fcis-15227	57	1	the	the	DET
fcis-15227	57	2	encoder	encoder	NOUN
fcis-15227	57	3	captures	capture	VERB
fcis-15227	57	4	the	the	DET
fcis-15227	57	5	context	context	NOUN
fcis-15227	57	6	information	information	NOUN
fcis-15227	57	7	around	around	ADP
fcis-15227	57	8	the	the	DET
fcis-15227	57	9	image	image	NOUN
fcis-15227	57	10	,	,	PUNCT
fcis-15227	57	11	extracts	extract	VERB
fcis-15227	57	12	the	the	DET
fcis-15227	57	13	potential	potential	ADJ
fcis-15227	57	14	features	feature	NOUN
fcis-15227	57	15	of	of	ADP
fcis-15227	57	16	the	the	DET
fcis-15227	57	17	image	image	NOUN
fcis-15227	57	18	and	and	CCONJ
fcis-15227	57	19	at	at	ADP
fcis-15227	57	20	the	the	DET
fcis-15227	57	21	same	same	ADJ
fcis-15227	57	22	time	time	NOUN
fcis-15227	57	23	adds	add	VERB
fcis-15227	57	24	the	the	DET
fcis-15227	57	25	generative	generative	ADJ
fcis-15227	57	26	antagonistic	antagonistic	ADJ
fcis-15227	57	27	idea	idea	NOUN
fcis-15227	57	28	of	of	ADP
fcis-15227	57	29	gans	gan	NOUN
fcis-15227	57	30	or	or	CCONJ
fcis-15227	57	31	adds	add	VERB
fcis-15227	57	32	various	various	ADJ
fcis-15227	57	33	constraints	constraint	NOUN
fcis-15227	57	34	to	to	PART
fcis-15227	57	35	continuously	continuously	ADV
fcis-15227	57	36	optimize	optimize	VERB
fcis-15227	57	37	the	the	DET
fcis-15227	57	38	repair	repair	NOUN
fcis-15227	57	39	effect	effect	NOUN
fcis-15227	57	40	.	.	PUNCT
fcis-15227	58	1	pathak	pathak	PROPN
fcis-15227	58	2	et	et	PROPN
fcis-15227	58	3	al	al	PROPN
fcis-15227	58	4	.	.	PROPN
fcis-15227	58	5	introduced	introduce	VERB
fcis-15227	58	6	the	the	DET
fcis-15227	58	7	codec	codec	NOUN
fcis-15227	58	8	-	-	PUNCT
fcis-15227	58	9	decoding	decode	VERB
fcis-15227	58	10	network	network	NOUN
fcis-15227	58	11	structure	structure	NOUN
fcis-15227	58	12	into	into	ADP
fcis-15227	58	13	the	the	DET
fcis-15227	58	14	image	image	NOUN
fcis-15227	58	15	restoration	restoration	NOUN
fcis-15227	58	16	task	task	NOUN
fcis-15227	58	17	for	for	ADP
fcis-15227	58	18	the	the	DET
fcis-15227	58	19	first	first	ADJ
fcis-15227	58	20	time	time	NOUN
fcis-15227	58	21	,	,	PUNCT
fcis-15227	58	22	and	and	CCONJ
fcis-15227	58	23	proposed	propose	VERB
fcis-15227	58	24	the	the	DET
fcis-15227	58	25	contextencoder	contextencoder	NOUN
fcis-15227	58	26	network	network	NOUN
fcis-15227	58	27	.	.	PUNCT
fcis-15227	59	1	which	which	PRON
fcis-15227	59	2	combined	combine	VERB
fcis-15227	59	3	the	the	DET
fcis-15227	59	4	adversarial	adversarial	ADJ
fcis-15227	59	5	ideas	idea	NOUN
fcis-15227	59	6	of	of	ADP
fcis-15227	59	7	codec	codec	NOUN
fcis-15227	59	8	-	-	PUNCT
fcis-15227	59	9	decoding	decode	VERB
fcis-15227	59	10	and	and	CCONJ
fcis-15227	59	11	gans	gan	NOUN
fcis-15227	59	12	.	.	PUNCT
fcis-15227	60	1	the	the	DET
fcis-15227	60	2	addition	addition	NOUN
fcis-15227	60	3	of	of	ADP
fcis-15227	60	4	generative	generative	ADJ
fcis-15227	60	5	adversarial	adversarial	ADJ
fcis-15227	60	6	makes	make	VERB
fcis-15227	60	7	the	the	DET
fcis-15227	60	8	image	image	NOUN
fcis-15227	60	9	in	in	ADP
fcis-15227	60	10	the	the	DET
fcis-15227	60	11	generated	generate	VERB
fcis-15227	60	12	region	region	NOUN
fcis-15227	60	13	more	more	ADV
fcis-15227	60	14	realistic	realistic	ADJ
fcis-15227	60	15	.	.	PUNCT
fcis-15227	61	1	but	but	CCONJ
fcis-15227	61	2	its	its	PRON
fcis-15227	61	3	increased	increase	VERB
fcis-15227	61	4	adversarial	adversarial	ADJ
fcis-15227	61	5	constraints	constraint	NOUN
fcis-15227	61	6	only	only	ADV
fcis-15227	61	7	apply	apply	VERB
fcis-15227	61	8	to	to	ADP
fcis-15227	61	9	the	the	DET
fcis-15227	61	10	restoration	restoration	NOUN
fcis-15227	61	11	region	region	NOUN
fcis-15227	61	12	.	.	PUNCT
fcis-15227	62	1	the	the	DET
fcis-15227	62	2	global	global	ADJ
fcis-15227	62	3	and	and	CCONJ
fcis-15227	62	4	local	local	ADJ
fcis-15227	62	5	consistency	consistency	NOUN
fcis-15227	62	6	is	be	AUX
fcis-15227	62	7	ignored	ignore	VERB
fcis-15227	62	8	.	.	PUNCT
fcis-15227	63	1	and	and	CCONJ
fcis-15227	63	2	there	there	PRON
fcis-15227	63	3	are	be	VERB
fcis-15227	63	4	problems	problem	NOUN
fcis-15227	63	5	of	of	ADP
fcis-15227	63	6	boundary	boundary	ADJ
fcis-15227	63	7	distortion	distortion	NOUN
fcis-15227	63	8	and	and	CCONJ
fcis-15227	63	9	local	local	ADJ
fcis-15227	63	10	unclear	unclear	ADJ
fcis-15227	63	11	.	.	PUNCT
fcis-15227	64	1	the	the	DET
fcis-15227	64	2	unsupervised	unsupervised	ADJ
fcis-15227	64	3	learning	learning	NOUN
fcis-15227	64	4	method	method	NOUN
fcis-15227	64	5	is	be	AUX
fcis-15227	64	6	used	use	VERB
fcis-15227	64	7	to	to	PART
fcis-15227	64	8	process	process	VERB
fcis-15227	64	9	the	the	DET
fcis-15227	64	10	feature	feature	NOUN
fcis-15227	64	11	and	and	CCONJ
fcis-15227	64	12	the	the	DET
fcis-15227	64	13	semantic	semantic	ADJ
fcis-15227	64	14	structure	structure	NOUN
fcis-15227	64	15	of	of	ADP
fcis-15227	64	16	missing	miss	VERB
fcis-15227	64	17	regions	region	NOUN
fcis-15227	64	18	is	be	AUX
fcis-15227	64	19	generated	generate	VERB
fcis-15227	64	20	according	accord	VERB
fcis-15227	64	21	to	to	ADP
fcis-15227	64	22	the	the	DET
fcis-15227	64	23	full	full	ADJ
fcis-15227	64	24	text	text	NOUN
fcis-15227	64	25	information	information	NOUN
fcis-15227	64	26	of	of	ADP
fcis-15227	64	27	the	the	DET
fcis-15227	64	28	image	image	NOUN
fcis-15227	64	29	.	.	PUNCT
fcis-15227	65	1	however	however	ADV
fcis-15227	65	2	,	,	PUNCT
fcis-15227	65	3	the	the	DET
fcis-15227	65	4	global	global	ADJ
fcis-15227	65	5	structure	structure	NOUN
fcis-15227	65	6	consistency	consistency	NOUN
fcis-15227	65	7	of	of	ADP
fcis-15227	65	8	the	the	DET
fcis-15227	65	9	repair	repair	NOUN
fcis-15227	65	10	region	region	NOUN
fcis-15227	65	11	is	be	AUX
fcis-15227	65	12	ignored	ignore	VERB
fcis-15227	65	13	in	in	ADP
fcis-15227	65	14	this	this	DET
fcis-15227	65	15	network	network	NOUN
fcis-15227	65	16	.	.	PUNCT
fcis-15227	66	1	so	so	ADV
fcis-15227	66	2	there	there	PRON
fcis-15227	66	3	are	be	VERB
fcis-15227	66	4	fuzzy	fuzzy	ADJ
fcis-15227	66	5	areas	area	NOUN
fcis-15227	66	6	in	in	ADP
fcis-15227	66	7	the	the	DET
fcis-15227	66	8	repair	repair	NOUN
fcis-15227	66	9	boundary	boundary	NOUN
fcis-15227	66	10	.	.	PUNCT
fcis-15227	67	1	the	the	DET
fcis-15227	67	2	contextencoder	contextencoder	NOUN
fcis-15227	67	3	network	network	NOUN
fcis-15227	67	4	proposed	propose	VERB
fcis-15227	67	5	by	by	ADP
fcis-15227	67	6	pathak	pathak	PROPN
fcis-15227	67	7	is	be	AUX
fcis-15227	67	8	the	the	DET
fcis-15227	67	9	first	first	ADJ
fcis-15227	67	10	application	application	NOUN
fcis-15227	67	11	in	in	ADP
fcis-15227	67	12	the	the	DET
fcis-15227	67	13	field	field	NOUN
fcis-15227	67	14	of	of	ADP
fcis-15227	67	15	image	image	NOUN
fcis-15227	67	16	restoration	restoration	NOUN
fcis-15227	67	17	since	since	SCONJ
fcis-15227	67	18	the	the	DET
fcis-15227	67	19	generative	generative	ADJ
fcis-15227	67	20	adversarial	adversarial	ADJ
fcis-15227	67	21	network	network	NOUN
fcis-15227	67	22	[	[	X
fcis-15227	67	23	5	5	NUM
fcis-15227	67	24	]	]	PUNCT
fcis-15227	67	25	proposed	propose	VERB
fcis-15227	67	26	by	by	ADP
fcis-15227	67	27	goodfellow	goodfellow	PROPN
fcis-15227	67	28	.	.	PUNCT
fcis-15227	68	1	which	which	PRON
fcis-15227	68	2	brings	bring	VERB
fcis-15227	68	3	many	many	ADJ
fcis-15227	68	4	inspirations	inspiration	NOUN
fcis-15227	68	5	to	to	ADP
fcis-15227	68	6	subsequent	subsequent	ADJ
fcis-15227	68	7	researchers	researcher	NOUN
fcis-15227	68	8	.	.	PUNCT
fcis-15227	69	1	in	in	ADP
fcis-15227	69	2	2017	2017	NUM
fcis-15227	69	3	based	base	VERB
fcis-15227	69	4	on	on	ADP
fcis-15227	69	5	the	the	DET
fcis-15227	69	6	contextencoder	contextencoder	NOUN
fcis-15227	69	7	network	network	NOUN
fcis-15227	69	8	[	[	X
fcis-15227	69	9	6	6	NUM
fcis-15227	69	10	]	]	PUNCT
fcis-15227	69	11	.	.	PUNCT
fcis-15227	70	1	lizuka	lizuka	AUX
fcis-15227	70	2	et	et	PROPN
fcis-15227	70	3	al	al	PROPN
fcis-15227	70	4	.	.	PROPN
fcis-15227	70	5	retained	retain	VERB
fcis-15227	70	6	the	the	DET
fcis-15227	70	7	discriminator	discriminator	NOUN
fcis-15227	70	8	in	in	ADP
fcis-15227	70	9	the	the	DET
fcis-15227	70	10	contextencoder	contextencoder	NOUN
fcis-15227	70	11	as	as	ADP
fcis-15227	70	12	the	the	DET
fcis-15227	70	13	local	local	ADJ
fcis-15227	70	14	discriminator	discriminator	NOUN
fcis-15227	70	15	.	.	PUNCT
fcis-15227	71	1	and	and	CCONJ
fcis-15227	71	2	added	add	VERB
fcis-15227	71	3	the	the	DET
fcis-15227	71	4	global	global	ADJ
fcis-15227	71	5	discriminator	discriminator	NOUN
fcis-15227	71	6	that	that	PRON
fcis-15227	71	7	acted	act	VERB
fcis-15227	71	8	on	on	ADP
fcis-15227	71	9	the	the	DET
fcis-15227	71	10	whole	whole	ADJ
fcis-15227	71	11	image	image	NOUN
fcis-15227	71	12	to	to	PART
fcis-15227	71	13	solve	solve	VERB
fcis-15227	71	14	the	the	DET
fcis-15227	71	15	problem	problem	NOUN
fcis-15227	71	16	of	of	ADP
fcis-15227	71	17	image	image	NOUN
fcis-15227	71	18	boundary	boundary	ADJ
fcis-15227	71	19	distortion	distortion	NOUN
fcis-15227	71	20	and	and	CCONJ
fcis-15227	71	21	local	local	ADJ
fcis-15227	71	22	ambiguity	ambiguity	NOUN
fcis-15227	71	23	.	.	PUNCT
fcis-15227	72	1	the	the	DET
fcis-15227	72	2	two	two	NUM
fcis-15227	72	3	discriminators	discriminator	NOUN
fcis-15227	72	4	work	work	VERB
fcis-15227	72	5	together	together	ADV
fcis-15227	72	6	to	to	PART
fcis-15227	72	7	make	make	VERB
fcis-15227	72	8	the	the	DET
fcis-15227	72	9	repaired	repair	VERB
fcis-15227	72	10	image	image	NOUN
fcis-15227	72	11	meet	meet	VERB
fcis-15227	72	12	the	the	DET
fcis-15227	72	13	global	global	ADJ
fcis-15227	72	14	and	and	CCONJ
fcis-15227	72	15	local	local	ADJ
fcis-15227	72	16	semantic	semantic	ADJ
fcis-15227	72	17	consistency	consistency	NOUN
fcis-15227	72	18	,	,	PUNCT
fcis-15227	72	19	and	and	CCONJ
fcis-15227	72	20	the	the	DET
fcis-15227	72	21	boundary	boundary	ADJ
fcis-15227	72	22	transition	transition	NOUN
fcis-15227	72	23	is	be	AUX
fcis-15227	72	24	more	more	ADV
fcis-15227	72	25	real	real	ADJ
fcis-15227	72	26	.	.	PUNCT
fcis-15227	73	1	this	this	DET
fcis-15227	73	2	method	method	NOUN
fcis-15227	73	3	lacks	lack	VERB
fcis-15227	73	4	consideration	consideration	NOUN
fcis-15227	73	5	of	of	ADP
fcis-15227	73	6	image	image	NOUN
fcis-15227	73	7	details	detail	NOUN
fcis-15227	73	8	and	and	CCONJ
fcis-15227	73	9	also	also	ADV
fcis-15227	73	10	includes	include	VERB
fcis-15227	73	11	complex	complex	ADJ
fcis-15227	73	12	post	post	ADJ
fcis-15227	73	13	-	-	ADJ
fcis-15227	73	14	processing	processing	ADJ
fcis-15227	73	15	processes	process	NOUN
fcis-15227	73	16	.	.	PUNCT
fcis-15227	74	1	3	3	X
fcis-15227	74	2	.	.	X
fcis-15227	74	3	the	the	DET
fcis-15227	74	4	proposed	propose	VERB
fcis-15227	74	5	image	image	NOUN
fcis-15227	74	6	inpainting	inpainte	VERB
fcis-15227	74	7	model	model	NOUN
fcis-15227	74	8	fusing	fuse	VERB
fcis-15227	74	9	gated	gate	VERB
fcis-15227	74	10	convolution	convolution	NOUN
fcis-15227	74	11	and	and	CCONJ
fcis-15227	74	12	spectral	spectral	ADJ
fcis-15227	74	13	normalization	normalization	NOUN
fcis-15227	74	14	this	this	DET
fcis-15227	74	15	section	section	NOUN
fcis-15227	74	16	introduces	introduce	VERB
fcis-15227	74	17	the	the	DET
fcis-15227	74	18	network	network	NOUN
fcis-15227	74	19	structure	structure	NOUN
fcis-15227	74	20	and	and	CCONJ
fcis-15227	74	21	principle	principle	NOUN
fcis-15227	74	22	of	of	ADP
fcis-15227	74	23	the	the	DET
fcis-15227	74	24	proposed	propose	VERB
fcis-15227	74	25	image	image	NOUN
fcis-15227	74	26	restoration	restoration	NOUN
fcis-15227	74	27	model	model	NOUN
fcis-15227	74	28	mgs	mgs	NOUN
fcis-15227	74	29	-	-	PUNCT
fcis-15227	74	30	iim	iim	NOUN
fcis-15227	74	31	,	,	PUNCT
fcis-15227	74	32	which	which	PRON
fcis-15227	74	33	integrates	integrate	VERB
fcis-15227	74	34	gated	gate	VERB
fcis-15227	74	35	convolution	convolution	NOUN
fcis-15227	74	36	and	and	CCONJ
fcis-15227	74	37	spectral	spectral	ADJ
fcis-15227	74	38	normalization	normalization	NOUN
fcis-15227	74	39	.	.	PUNCT
fcis-15227	75	1	the	the	DET
fcis-15227	75	2	model	model	NOUN
fcis-15227	75	3	consists	consist	VERB
fcis-15227	75	4	of	of	ADP
fcis-15227	75	5	two	two	NUM
fcis-15227	75	6	parts	part	NOUN
fcis-15227	75	7	:	:	PUNCT
fcis-15227	75	8	image	image	NOUN
fcis-15227	75	9	repair	repair	NOUN
fcis-15227	75	10	module	module	NOUN
fcis-15227	75	11	and	and	CCONJ
fcis-15227	75	12	double	double	ADJ
fcis-15227	75	13	discriminator	discriminator	NOUN
fcis-15227	75	14	module	module	NOUN
fcis-15227	75	15	.	.	PUNCT
fcis-15227	76	1	the	the	DET
fcis-15227	76	2	model	model	NOUN
fcis-15227	76	3	structure	structure	NOUN
fcis-15227	76	4	is	be	AUX
fcis-15227	76	5	shown	show	VERB
fcis-15227	76	6	in	in	ADP
fcis-15227	76	7	figure	figure	NOUN
fcis-15227	76	8	2	2	NUM
fcis-15227	76	9	.	.	PUNCT
fcis-15227	77	1	the	the	DET
fcis-15227	77	2	image	image	NOUN
fcis-15227	77	3	repair	repair	NOUN
fcis-15227	77	4	module	module	NOUN
fcis-15227	77	5	is	be	AUX
fcis-15227	77	6	based	base	VERB
fcis-15227	77	7	on	on	ADP
fcis-15227	77	8	the	the	DET
fcis-15227	77	9	encoder	encoder	NOUN
fcis-15227	77	10	decoder	decoder	NOUN
fcis-15227	77	11	structure	structure	NOUN
fcis-15227	77	12	.	.	PUNCT
fcis-15227	78	1	the	the	DET
fcis-15227	78	2	input	input	NOUN
fcis-15227	78	3	image	image	NOUN
fcis-15227	78	4	processing	processing	NOUN
fcis-15227	78	5	mainly	mainly	ADV
fcis-15227	78	6	includes	include	VERB
fcis-15227	78	7	two	two	NUM
fcis-15227	78	8	processes	process	NOUN
fcis-15227	78	9	:	:	PUNCT
fcis-15227	78	10	encoding	encode	VERB
fcis-15227	78	11	and	and	CCONJ
fcis-15227	78	12	decoding	decode	VERB
fcis-15227	78	13	.	.	PUNCT
fcis-15227	79	1	the	the	DET
fcis-15227	79	2	input	input	NOUN
fcis-15227	79	3	image	image	NOUN
fcis-15227	79	4	is	be	AUX
fcis-15227	79	5	the	the	DET
fcis-15227	79	6	original	original	ADJ
fcis-15227	79	7	rgb	rgb	PROPN
fcis-15227	79	8	image	image	NOUN
fcis-15227	79	9	iin	iin	NOUN
fcis-15227	79	10	and	and	CCONJ
fcis-15227	79	11	the	the	DET
fcis-15227	79	12	mask	mask	NOUN
fcis-15227	79	13	layer	layer	NOUN
fcis-15227	79	14	imask	imask	PROPN
fcis-15227	79	15	corresponding	correspond	VERB
fcis-15227	79	16	to	to	ADP
fcis-15227	79	17	the	the	DET
fcis-15227	79	18	image	image	NOUN
fcis-15227	79	19	.	.	PUNCT
fcis-15227	80	1	the	the	DET
fcis-15227	80	2	feature	feature	NOUN
fcis-15227	80	3	information	information	NOUN
fcis-15227	80	4	of	of	ADP
fcis-15227	80	5	the	the	DET
fcis-15227	80	6	input	input	NOUN
fcis-15227	80	7	original	original	ADJ
fcis-15227	80	8	image	image	NOUN
fcis-15227	80	9	iin	iin	NOUN
fcis-15227	80	10	and	and	CCONJ
fcis-15227	80	11	mask	mask	VERB
fcis-15227	80	12	imask	imask	NOUN
fcis-15227	80	13	is	be	AUX
fcis-15227	80	14	extracted	extract	VERB
fcis-15227	80	15	through	through	ADP
fcis-15227	80	16	gated	gate	VERB
fcis-15227	80	17	convolution	convolution	NOUN
fcis-15227	80	18	subsampling	subsampling	NOUN
fcis-15227	80	19	,	,	PUNCT
fcis-15227	80	20	which	which	PRON
fcis-15227	80	21	can	can	AUX
fcis-15227	80	22	better	well	ADV
fcis-15227	80	23	deal	deal	VERB
fcis-15227	80	24	with	with	ADP
fcis-15227	80	25	the	the	DET
fcis-15227	80	26	discrimination	discrimination	NOUN
fcis-15227	80	27	degree	degree	NOUN
fcis-15227	80	28	of	of	ADP
fcis-15227	80	29	sensitivity	sensitivity	NOUN
fcis-15227	80	30	of	of	ADP
fcis-15227	80	31	the	the	DET
fcis-15227	80	32	region	region	NOUN
fcis-15227	80	33	to	to	PART
fcis-15227	80	34	be	be	AUX
fcis-15227	80	35	98	98	NUM
fcis-15227	80	36	repaired	repaired	ADJ
fcis-15227	80	37	and	and	CCONJ
fcis-15227	80	38	boundary	boundary	ADJ
fcis-15227	80	39	information	information	NOUN
fcis-15227	80	40	.	.	PUNCT
fcis-15227	81	1	the	the	DET
fcis-15227	81	2	feature	feature	NOUN
fcis-15227	81	3	matrix	matrix	NOUN
fcis-15227	81	4	k	k	NOUN
fcis-15227	81	5	after	after	ADP
fcis-15227	81	6	downsampling	downsample	VERB
fcis-15227	81	7	by	by	ADP
fcis-15227	81	8	the	the	DET
fcis-15227	81	9	encoder	encoder	NOUN
fcis-15227	81	10	composed	compose	VERB
fcis-15227	81	11	of	of	ADP
fcis-15227	81	12	gated	gate	VERB
fcis-15227	81	13	convolution	convolution	NOUN
fcis-15227	81	14	is	be	AUX
fcis-15227	81	15	k	k	NOUN
fcis-15227	81	16	,	,	PUNCT
fcis-15227	81	17	and	and	CCONJ
fcis-15227	81	18	the	the	DET
fcis-15227	81	19	feature	feature	NOUN
fcis-15227	81	20	matrix	matrix	NOUN
fcis-15227	81	21	k	k	NOUN
fcis-15227	81	22	can	can	AUX
fcis-15227	81	23	capture	capture	VERB
fcis-15227	81	24	more	more	ADJ
fcis-15227	81	25	context	context	NOUN
fcis-15227	81	26	information	information	NOUN
fcis-15227	81	27	from	from	ADP
fcis-15227	81	28	the	the	DET
fcis-15227	81	29	feature	feature	NOUN
fcis-15227	81	30	matrix	matrix	NOUN
fcis-15227	81	31	k	k	NOUN
fcis-15227	81	32	through	through	ADP
fcis-15227	81	33	cavity	cavity	NOUN
fcis-15227	81	34	convolution	convolution	NOUN
fcis-15227	81	35	,	,	PUNCT
fcis-15227	81	36	which	which	PRON
fcis-15227	81	37	is	be	AUX
fcis-15227	81	38	more	more	ADV
fcis-15227	81	39	suitable	suitable	ADJ
fcis-15227	81	40	for	for	ADP
fcis-15227	81	41	the	the	DET
fcis-15227	81	42	image	image	NOUN
fcis-15227	81	43	restoration	restoration	NOUN
fcis-15227	81	44	task	task	NOUN
fcis-15227	81	45	.	.	PUNCT
fcis-15227	82	1	most	most	ADV
fcis-15227	82	2	importantly	importantly	ADV
fcis-15227	82	3	,	,	PUNCT
fcis-15227	82	4	the	the	DET
fcis-15227	82	5	decoder	decoder	NOUN
fcis-15227	82	6	part	part	NOUN
fcis-15227	82	7	decodes	decode	VERB
fcis-15227	82	8	the	the	DET
fcis-15227	82	9	feature	feature	NOUN
fcis-15227	82	10	information	information	NOUN
fcis-15227	82	11	,	,	PUNCT
fcis-15227	82	12	which	which	PRON
fcis-15227	82	13	is	be	AUX
fcis-15227	82	14	essentially	essentially	ADV
fcis-15227	82	15	an	an	DET
fcis-15227	82	16	up	up	ADV
fcis-15227	82	17	-	-	PUNCT
fcis-15227	82	18	sampling	sample	VERB
fcis-15227	82	19	process	process	NOUN
fcis-15227	82	20	.	.	PUNCT
fcis-15227	83	1	the	the	DET
fcis-15227	83	2	decoder	decoder	NOUN
fcis-15227	83	3	learns	learn	VERB
fcis-15227	83	4	the	the	DET
fcis-15227	83	5	generation	generation	NOUN
fcis-15227	83	6	distribution	distribution	NOUN
fcis-15227	83	7	of	of	ADP
fcis-15227	83	8	the	the	DET
fcis-15227	83	9	real	real	ADJ
fcis-15227	83	10	image	image	NOUN
fcis-15227	83	11	to	to	PART
fcis-15227	83	12	generate	generate	VERB
fcis-15227	83	13	the	the	DET
fcis-15227	83	14	image	image	NOUN
fcis-15227	83	15	satisfying	satisfy	VERB
fcis-15227	83	16	the	the	DET
fcis-15227	83	17	repair	repair	NOUN
fcis-15227	83	18	effect	effect	NOUN
fcis-15227	83	19	as	as	ADV
fcis-15227	83	20	much	much	ADV
fcis-15227	83	21	as	as	ADP
fcis-15227	83	22	possible	possible	ADJ
fcis-15227	83	23	.	.	PUNCT
fcis-15227	84	1	the	the	DET
fcis-15227	84	2	repaired	repair	VERB
fcis-15227	84	3	image	image	NOUN
fcis-15227	84	4	output	output	NOUN
fcis-15227	84	5	by	by	ADP
fcis-15227	84	6	the	the	DET
fcis-15227	84	7	decoder	decoder	NOUN
fcis-15227	84	8	will	will	AUX
fcis-15227	84	9	be	be	AUX
fcis-15227	84	10	authenticated	authenticate	VERB
fcis-15227	84	11	by	by	ADP
fcis-15227	84	12	the	the	DET
fcis-15227	84	13	global	global	ADJ
fcis-15227	84	14	discriminator	discriminator	NOUN
fcis-15227	84	15	and	and	CCONJ
fcis-15227	84	16	the	the	DET
fcis-15227	84	17	local	local	ADJ
fcis-15227	84	18	discriminator	discriminator	NOUN
fcis-15227	84	19	to	to	PART
fcis-15227	84	20	judge	judge	VERB
fcis-15227	84	21	the	the	DET
fcis-15227	84	22	authenticity	authenticity	NOUN
fcis-15227	84	23	of	of	ADP
fcis-15227	84	24	the	the	DET
fcis-15227	84	25	repaired	repair	VERB
fcis-15227	84	26	image	image	NOUN
fcis-15227	84	27	.	.	PUNCT
fcis-15227	85	1	the	the	DET
fcis-15227	85	2	effect	effect	NOUN
fcis-15227	85	3	of	of	ADP
fcis-15227	85	4	image	image	NOUN
fcis-15227	85	5	repair	repair	NOUN
fcis-15227	85	6	is	be	AUX
fcis-15227	85	7	optimized	optimize	VERB
fcis-15227	85	8	through	through	ADP
fcis-15227	85	9	the	the	DET
fcis-15227	85	10	game	game	NOUN
fcis-15227	85	11	process	process	NOUN
fcis-15227	85	12	between	between	ADP
fcis-15227	85	13	image	image	NOUN
fcis-15227	85	14	repair	repair	NOUN
fcis-15227	85	15	network	network	NOUN
fcis-15227	85	16	and	and	CCONJ
fcis-15227	85	17	identification	identification	NOUN
fcis-15227	85	18	network	network	NOUN
fcis-15227	85	19	.	.	PUNCT
fcis-15227	86	1	finally	finally	ADV
fcis-15227	86	2	,	,	PUNCT
fcis-15227	86	3	through	through	ADP
fcis-15227	86	4	qualitative	qualitative	ADJ
fcis-15227	86	5	and	and	CCONJ
fcis-15227	86	6	quantitative	quantitative	ADJ
fcis-15227	86	7	analysis	analysis	NOUN
fcis-15227	86	8	,	,	PUNCT
fcis-15227	86	9	the	the	DET
fcis-15227	86	10	model	model	NOUN
fcis-15227	86	11	has	have	AUX
fcis-15227	86	12	achieved	achieve	VERB
fcis-15227	86	13	excellent	excellent	ADJ
fcis-15227	86	14	results	result	NOUN
fcis-15227	86	15	.	.	PUNCT
fcis-15227	87	1	figure	figure	NOUN
fcis-15227	87	2	2	2	NUM
fcis-15227	87	3	.	.	PUNCT
fcis-15227	87	4	mgs	mgs	NOUN
fcis-15227	87	5	-	-	PUNCT
fcis-15227	87	6	iim	iim	NOUN
fcis-15227	87	7	image	image	NOUN
fcis-15227	87	8	inpainting	inpainte	VERB
fcis-15227	87	9	model	model	NOUN
fcis-15227	87	10	3.1	3.1	NUM
fcis-15227	87	11	.	.	PUNCT
fcis-15227	87	12	gated	gate	VERB
fcis-15227	87	13	convolution	convolution	NOUN
fcis-15227	87	14	traditional	traditional	ADJ
fcis-15227	87	15	convolution[8	convolution[8	NUM
fcis-15227	87	16	]	]	PUNCT
fcis-15227	87	17	is	be	AUX
fcis-15227	87	18	a	a	DET
fcis-15227	87	19	common	common	ADJ
fcis-15227	87	20	convolution	convolution	NOUN
fcis-15227	87	21	operation	operation	NOUN
fcis-15227	87	22	in	in	ADP
fcis-15227	87	23	deep	deep	ADJ
fcis-15227	87	24	learning	learning	NOUN
fcis-15227	87	25	-	-	PUNCT
fcis-15227	87	26	based	base	VERB
fcis-15227	87	27	image	image	NOUN
fcis-15227	87	28	restoration	restoration	NOUN
fcis-15227	87	29	tasks	task	NOUN
fcis-15227	87	30	.	.	PUNCT
fcis-15227	88	1	traditional	traditional	ADJ
fcis-15227	88	2	convolutional	convolutional	ADJ
fcis-15227	88	3	neural	neural	ADJ
fcis-15227	88	4	networks	network	NOUN
fcis-15227	88	5	also	also	ADV
fcis-15227	88	6	played	play	VERB
fcis-15227	88	7	an	an	DET
fcis-15227	88	8	important	important	ADJ
fcis-15227	88	9	role	role	NOUN
fcis-15227	88	10	in	in	ADP
fcis-15227	88	11	the	the	DET
fcis-15227	88	12	early	early	ADJ
fcis-15227	88	13	research	research	NOUN
fcis-15227	88	14	of	of	ADP
fcis-15227	88	15	image	image	NOUN
fcis-15227	88	16	restoration	restoration	NOUN
fcis-15227	88	17	.	.	PUNCT
fcis-15227	89	1	it	it	PRON
fcis-15227	89	2	is	be	AUX
fcis-15227	89	3	usually	usually	ADV
fcis-15227	89	4	used	use	VERB
fcis-15227	89	5	to	to	PART
fcis-15227	89	6	learn	learn	VERB
fcis-15227	89	7	the	the	DET
fcis-15227	89	8	feature	feature	NOUN
fcis-15227	89	9	representation	representation	NOUN
fcis-15227	89	10	of	of	ADP
fcis-15227	89	11	an	an	DET
fcis-15227	89	12	image	image	NOUN
fcis-15227	89	13	and	and	CCONJ
fcis-15227	89	14	generate	generate	VERB
fcis-15227	89	15	the	the	DET
fcis-15227	89	16	repaired	repair	VERB
fcis-15227	89	17	image	image	NOUN
fcis-15227	89	18	into	into	ADP
fcis-15227	89	19	an	an	DET
fcis-15227	89	20	output	output	NOUN
fcis-15227	89	21	.	.	PUNCT
fcis-15227	90	1	information	information	NOUN
fcis-15227	90	2	loss	loss	NOUN
fcis-15227	90	3	:	:	PUNCT
fcis-15227	90	4	when	when	SCONJ
fcis-15227	90	5	the	the	DET
fcis-15227	90	6	traditional	traditional	ADJ
fcis-15227	90	7	cnn	cnn	PROPN
fcis-15227	90	8	performs	perform	VERB
fcis-15227	90	9	convolution	convolution	NOUN
fcis-15227	90	10	operations	operation	NOUN
fcis-15227	90	11	,	,	PUNCT
fcis-15227	90	12	it	it	PRON
fcis-15227	90	13	will	will	AUX
fcis-15227	90	14	carry	carry	VERB
fcis-15227	90	15	out	out	ADP
fcis-15227	90	16	global	global	ADJ
fcis-15227	90	17	feature	feature	NOUN
fcis-15227	90	18	extraction	extraction	NOUN
fcis-15227	90	19	on	on	ADP
fcis-15227	90	20	the	the	DET
fcis-15227	90	21	input	input	NOUN
fcis-15227	90	22	image	image	NOUN
fcis-15227	90	23	,	,	PUNCT
fcis-15227	90	24	which	which	PRON
fcis-15227	90	25	may	may	AUX
fcis-15227	90	26	lead	lead	VERB
fcis-15227	90	27	to	to	ADP
fcis-15227	90	28	the	the	DET
fcis-15227	90	29	loss	loss	NOUN
fcis-15227	90	30	of	of	ADP
fcis-15227	90	31	some	some	DET
fcis-15227	90	32	details	detail	NOUN
fcis-15227	90	33	.	.	PUNCT
fcis-15227	91	1	for	for	ADP
fcis-15227	91	2	image	image	NOUN
fcis-15227	91	3	repair	repair	NOUN
fcis-15227	91	4	tasks	task	NOUN
fcis-15227	91	5	,	,	PUNCT
fcis-15227	91	6	this	this	PRON
fcis-15227	91	7	can	can	AUX
fcis-15227	91	8	result	result	VERB
fcis-15227	91	9	in	in	ADP
fcis-15227	91	10	blurred	blurred	ADJ
fcis-15227	91	11	or	or	CCONJ
fcis-15227	91	12	distorted	distort	VERB
fcis-15227	91	13	images	image	NOUN
fcis-15227	91	14	after	after	ADP
fcis-15227	91	15	repair	repair	NOUN
fcis-15227	91	16	.	.	PUNCT
fcis-15227	92	1	in	in	ADP
fcis-15227	92	2	view	view	NOUN
fcis-15227	92	3	of	of	ADP
fcis-15227	92	4	this	this	DET
fcis-15227	92	5	problem	problem	NOUN
fcis-15227	92	6	related	relate	VERB
fcis-15227	92	7	scholars	scholar	NOUN
fcis-15227	92	8	have	have	AUX
fcis-15227	92	9	carried	carry	VERB
fcis-15227	92	10	out	out	ADP
fcis-15227	92	11	research	research	NOUN
fcis-15227	92	12	.	.	PUNCT
fcis-15227	93	1	a	a	DET
fcis-15227	93	2	new	new	ADJ
fcis-15227	93	3	convolution	convolution	NOUN
fcis-15227	93	4	operation	operation	NOUN
fcis-15227	93	5	,	,	PUNCT
fcis-15227	93	6	partial	partial	ADJ
fcis-15227	93	7	convolution	convolution	NOUN
fcis-15227	93	8	,	,	PUNCT
fcis-15227	93	9	is	be	AUX
fcis-15227	93	10	proposed	propose	VERB
fcis-15227	93	11	.	.	PUNCT
fcis-15227	94	1	it	it	PRON
fcis-15227	94	2	can	can	AUX
fcis-15227	94	3	be	be	AUX
fcis-15227	94	4	seen	see	VERB
fcis-15227	94	5	from	from	ADP
fcis-15227	94	6	the	the	DET
fcis-15227	94	7	above	above	ADJ
fcis-15227	94	8	figure	figure	NOUN
fcis-15227	94	9	that	that	SCONJ
fcis-15227	94	10	compared	compare	VERB
fcis-15227	94	11	with	with	ADP
fcis-15227	94	12	traditional	traditional	ADJ
fcis-15227	94	13	convolution	convolution	NOUN
fcis-15227	94	14	,	,	PUNCT
fcis-15227	94	15	some	some	DET
fcis-15227	94	16	convolution	convolution	NOUN
fcis-15227	94	17	has	have	VERB
fcis-15227	94	18	a	a	DET
fcis-15227	94	19	mask	mask	NOUN
fcis-15227	94	20	mechanism	mechanism	NOUN
fcis-15227	94	21	,	,	PUNCT
fcis-15227	94	22	and	and	CCONJ
fcis-15227	94	23	the	the	DET
fcis-15227	94	24	mask	mask	NOUN
fcis-15227	94	25	has	have	VERB
fcis-15227	94	26	its	its	PRON
fcis-15227	94	27	own	own	ADJ
fcis-15227	94	28	update	update	NOUN
fcis-15227	94	29	mechanism	mechanism	NOUN
fcis-15227	94	30	.	.	PUNCT
fcis-15227	95	1	compared	compare	VERB
fcis-15227	95	2	with	with	ADP
fcis-15227	95	3	traditional	traditional	ADJ
fcis-15227	95	4	convolution	convolution	NOUN
fcis-15227	95	5	,	,	PUNCT
fcis-15227	95	6	partial	partial	ADJ
fcis-15227	95	7	convolution	convolution	NOUN
fcis-15227	95	8	can	can	AUX
fcis-15227	95	9	decide	decide	VERB
fcis-15227	95	10	whether	whether	SCONJ
fcis-15227	95	11	to	to	PART
fcis-15227	95	12	consider	consider	VERB
fcis-15227	95	13	the	the	DET
fcis-15227	95	14	pixels	pixel	NOUN
fcis-15227	95	15	in	in	ADP
fcis-15227	95	16	the	the	DET
fcis-15227	95	17	missing	miss	VERB
fcis-15227	95	18	region	region	NOUN
fcis-15227	95	19	in	in	ADP
fcis-15227	95	20	the	the	DET
fcis-15227	95	21	convolution	convolution	NOUN
fcis-15227	95	22	process	process	NOUN
fcis-15227	95	23	according	accord	VERB
fcis-15227	95	24	to	to	ADP
fcis-15227	95	25	the	the	DET
fcis-15227	95	26	mask	mask	NOUN
fcis-15227	95	27	information	information	NOUN
fcis-15227	95	28	by	by	ADP
fcis-15227	95	29	introducing	introduce	VERB
fcis-15227	95	30	partial	partial	ADJ
fcis-15227	95	31	convolution	convolution	NOUN
fcis-15227	95	32	operation	operation	NOUN
fcis-15227	95	33	.	.	PUNCT
fcis-15227	96	1	this	this	PRON
fcis-15227	96	2	can	can	AUX
fcis-15227	96	3	prevent	prevent	VERB
fcis-15227	96	4	the	the	DET
fcis-15227	96	5	generation	generation	NOUN
fcis-15227	96	6	of	of	ADP
fcis-15227	96	7	unreasonable	unreasonable	ADJ
fcis-15227	96	8	pixel	pixel	NOUN
fcis-15227	96	9	values	value	NOUN
fcis-15227	96	10	in	in	ADP
fcis-15227	96	11	the	the	DET
fcis-15227	96	12	missing	miss	VERB
fcis-15227	96	13	region	region	NOUN
fcis-15227	96	14	,	,	PUNCT
fcis-15227	96	15	so	so	SCONJ
fcis-15227	96	16	that	that	SCONJ
fcis-15227	96	17	the	the	DET
fcis-15227	96	18	image	image	NOUN
fcis-15227	96	19	inpainting	inpainte	VERB
fcis-15227	96	20	task	task	NOUN
fcis-15227	96	21	can	can	AUX
fcis-15227	96	22	be	be	AUX
fcis-15227	96	23	better	well	ADV
fcis-15227	96	24	completed	complete	VERB
fcis-15227	96	25	.	.	PUNCT
fcis-15227	97	1	however	however	ADV
fcis-15227	97	2	,	,	PUNCT
fcis-15227	97	3	due	due	ADP
fcis-15227	97	4	to	to	ADP
fcis-15227	97	5	its	its	PRON
fcis-15227	97	6	designed	design	VERB
fcis-15227	97	7	mask	mask	NOUN
fcis-15227	97	8	update	update	NOUN
fcis-15227	97	9	mechanism	mechanism	NOUN
fcis-15227	97	10	,	,	PUNCT
fcis-15227	97	11	the	the	DET
fcis-15227	97	12	purpose	purpose	NOUN
fcis-15227	97	13	of	of	ADP
fcis-15227	97	14	partial	partial	ADJ
fcis-15227	97	15	convolution	convolution	NOUN
fcis-15227	97	16	is	be	AUX
fcis-15227	97	17	to	to	PART
fcis-15227	97	18	make	make	VERB
fcis-15227	97	19	the	the	DET
fcis-15227	97	20	result	result	NOUN
fcis-15227	97	21	of	of	ADP
fcis-15227	97	22	convolution	convolution	NOUN
fcis-15227	97	23	depend	depend	VERB
fcis-15227	97	24	only	only	ADV
fcis-15227	97	25	on	on	ADP
fcis-15227	97	26	the	the	DET
fcis-15227	97	27	effective	effective	ADJ
fcis-15227	97	28	pixels	pixel	NOUN
fcis-15227	97	29	as	as	ADV
fcis-15227	97	30	much	much	ADV
fcis-15227	97	31	as	as	ADP
fcis-15227	97	32	possible	possible	ADJ
fcis-15227	97	33	.	.	PUNCT
fcis-15227	98	1	partial	partial	ADJ
fcis-15227	98	2	convolution	convolution	NOUN
fcis-15227	98	3	effectively	effectively	ADV
fcis-15227	98	4	improves	improve	VERB
fcis-15227	98	5	the	the	DET
fcis-15227	98	6	image	image	NOUN
fcis-15227	98	7	inpainting	inpainte	VERB
fcis-15227	98	8	quality	quality	NOUN
fcis-15227	98	9	on	on	ADP
fcis-15227	98	10	irregular	irregular	ADJ
fcis-15227	98	11	masks	mask	NOUN
fcis-15227	98	12	.	.	PUNCT
fcis-15227	99	1	but	but	CCONJ
fcis-15227	99	2	there	there	PRON
fcis-15227	99	3	are	be	VERB
fcis-15227	99	4	still	still	ADV
fcis-15227	99	5	some	some	DET
fcis-15227	99	6	problems	problem	NOUN
fcis-15227	99	7	.	.	PUNCT
fcis-15227	100	1	for	for	ADP
fcis-15227	100	2	example	example	NOUN
fcis-15227	100	3	,	,	PUNCT
fcis-15227	100	4	when	when	SCONJ
fcis-15227	100	5	updating	update	VERB
fcis-15227	100	6	the	the	DET
fcis-15227	100	7	mask	mask	NOUN
fcis-15227	100	8	,	,	PUNCT
fcis-15227	100	9	all	all	DET
fcis-15227	100	10	spaces	space	NOUN
fcis-15227	100	11	are	be	AUX
fcis-15227	100	12	classified	classify	VERB
fcis-15227	100	13	as	as	ADP
fcis-15227	100	14	valid	valid	ADJ
fcis-15227	100	15	and	and	CCONJ
fcis-15227	100	16	invalid	invalid	ADJ
fcis-15227	100	17	,	,	PUNCT
fcis-15227	100	18	and	and	CCONJ
fcis-15227	100	19	the	the	DET
fcis-15227	100	20	mask	mask	NOUN
fcis-15227	100	21	of	of	ADP
fcis-15227	100	22	the	the	DET
fcis-15227	100	23	next	next	ADJ
fcis-15227	100	24	layer	layer	NOUN
fcis-15227	100	25	is	be	AUX
fcis-15227	100	26	set	set	VERB
fcis-15227	100	27	to	to	ADP
fcis-15227	100	28	1	1	NUM
fcis-15227	100	29	no	no	ADV
fcis-15227	100	30	matter	matter	ADV
fcis-15227	100	31	how	how	SCONJ
fcis-15227	100	32	many	many	ADJ
fcis-15227	100	33	pixels	pixel	NOUN
fcis-15227	100	34	are	be	AUX
fcis-15227	100	35	covered	cover	VERB
fcis-15227	100	36	by	by	ADP
fcis-15227	100	37	the	the	DET
fcis-15227	100	38	previous	previous	ADJ
fcis-15227	100	39	layer	layer	NOUN
fcis-15227	100	40	.	.	PUNCT
fcis-15227	101	1	obviously	obviously	ADV
fcis-15227	101	2	not	not	PART
fcis-15227	101	3	very	very	ADV
fcis-15227	101	4	reasonable	reasonable	ADJ
fcis-15227	101	5	.	.	PUNCT
fcis-15227	102	1	and	and	CCONJ
fcis-15227	102	2	if	if	SCONJ
fcis-15227	102	3	the	the	DET
fcis-15227	102	4	network	network	NOUN
fcis-15227	102	5	deedens	deeden	VERB
fcis-15227	102	6	to	to	ADP
fcis-15227	102	7	a	a	DET
fcis-15227	102	8	certain	certain	ADJ
fcis-15227	102	9	extent	extent	NOUN
fcis-15227	102	10	,	,	PUNCT
fcis-15227	102	11	the	the	DET
fcis-15227	102	12	mask	mask	NOUN
fcis-15227	102	13	will	will	AUX
fcis-15227	102	14	eventually	eventually	ADV
fcis-15227	102	15	be	be	AUX
fcis-15227	102	16	updated	update	VERB
fcis-15227	102	17	to	to	ADP
fcis-15227	102	18	1	1	NUM
fcis-15227	102	19	.	.	PUNCT
fcis-15227	103	1	the	the	DET
fcis-15227	103	2	meaning	meaning	NOUN
fcis-15227	103	3	of	of	ADP
fcis-15227	103	4	the	the	DET
fcis-15227	103	5	mask	mask	NOUN
fcis-15227	103	6	will	will	AUX
fcis-15227	103	7	be	be	AUX
fcis-15227	103	8	lost	lose	VERB
fcis-15227	103	9	.	.	PUNCT
fcis-15227	104	1	on	on	ADP
fcis-15227	104	2	the	the	DET
fcis-15227	104	3	basis	basis	NOUN
fcis-15227	104	4	of	of	ADP
fcis-15227	104	5	partial	partial	ADJ
fcis-15227	104	6	convolution	convolution	NOUN
fcis-15227	104	7	,	,	PUNCT
fcis-15227	104	8	scholars	scholar	NOUN
fcis-15227	104	9	have	have	AUX
fcis-15227	104	10	proposed	propose	VERB
fcis-15227	104	11	a	a	DET
fcis-15227	104	12	mechanism	mechanism	NOUN
fcis-15227	104	13	called	call	VERB
fcis-15227	104	14	gated	gate	VERB
fcis-15227	104	15	convolution	convolution	NOUN
fcis-15227	104	16	,	,	PUNCT
fcis-15227	104	17	and	and	CCONJ
fcis-15227	104	18	the	the	DET
fcis-15227	104	19	design	design	NOUN
fcis-15227	104	20	of	of	ADP
fcis-15227	104	21	convolution	convolution	NOUN
fcis-15227	104	22	is	be	AUX
fcis-15227	104	23	inspired	inspire	VERB
fcis-15227	104	24	by	by	ADP
fcis-15227	104	25	the	the	DET
fcis-15227	104	26	idea	idea	NOUN
fcis-15227	104	27	of	of	ADP
fcis-15227	104	28	adding	add	VERB
fcis-15227	104	29	masks	mask	NOUN
fcis-15227	104	30	in	in	ADP
fcis-15227	104	31	partial	partial	ADJ
fcis-15227	104	32	convolution	convolution	NOUN
fcis-15227	104	33	.	.	PUNCT
fcis-15227	105	1	figure	figure	NOUN
fcis-15227	105	2	3	3	NUM
fcis-15227	105	3	.	.	PUNCT
fcis-15227	105	4	illustration	illustration	NOUN
fcis-15227	105	5	of	of	ADP
fcis-15227	105	6	partial	partial	ADJ
fcis-15227	105	7	convolution(left	convolution(left	PROPN
fcis-15227	105	8	)	)	PUNCT
fcis-15227	105	9	and	and	CCONJ
fcis-15227	105	10	gated	gate	VERB
fcis-15227	105	11	convolution(right	convolution(right	PROPN
fcis-15227	105	12	)	)	PUNCT
fcis-15227	105	13	.	.	PUNCT
fcis-15227	106	1	problem	problem	NOUN
fcis-15227	106	2	based	base	VERB
fcis-15227	106	3	on	on	ADP
fcis-15227	106	4	the	the	DET
fcis-15227	106	5	above	above	ADJ
fcis-15227	106	6	partial	partial	ADJ
fcis-15227	106	7	convolutions	convolution	NOUN
fcis-15227	106	8	.	.	PUNCT
fcis-15227	107	1	gated	gate	VERB
fcis-15227	107	2	convolution	convolution	NOUN
fcis-15227	107	3	is	be	AUX
fcis-15227	107	4	proposed	propose	VERB
fcis-15227	107	5	.	.	PUNCT
fcis-15227	108	1	instead	instead	ADV
fcis-15227	108	2	of	of	ADP
fcis-15227	108	3	the	the	DET
fcis-15227	108	4	hard	hard	ADV
fcis-15227	108	5	-	-	PUNCT
fcis-15227	108	6	gated	gate	VERB
fcis-15227	108	7	mask	mask	NOUN
fcis-15227	108	8	update	update	NOUN
fcis-15227	108	9	rule	rule	NOUN
fcis-15227	108	10	of	of	ADP
fcis-15227	108	11	partial	partial	ADJ
fcis-15227	108	12	convolutions	convolution	NOUN
fcis-15227	108	13	,	,	PUNCT
fcis-15227	108	14	gated	gate	VERB
fcis-15227	108	15	convolutions	convolution	NOUN
fcis-15227	108	16	automatically	automatically	ADV
fcis-15227	108	17	learn	learn	VERB
fcis-15227	108	18	soft	soft	ADJ
fcis-15227	108	19	masks	mask	NOUN
fcis-15227	108	20	from	from	ADP
fcis-15227	108	21	data	datum	NOUN
fcis-15227	108	22	.	.	PUNCT
fcis-15227	109	1	3.2	3.2	NUM
fcis-15227	109	2	.	.	PUNCT
fcis-15227	110	1	skip	skip	ADJ
fcis-15227	110	2	connection	connection	NOUN
fcis-15227	110	3	in	in	ADP
fcis-15227	110	4	deep	deep	ADJ
fcis-15227	110	5	learning	learning	NOUN
fcis-15227	110	6	,	,	PUNCT
fcis-15227	110	7	a	a	DET
fcis-15227	110	8	jump	jump	NOUN
fcis-15227	110	9	connection	connection	NOUN
fcis-15227	110	10	is	be	AUX
fcis-15227	110	11	one	one	NUM
fcis-15227	110	12	that	that	PRON
fcis-15227	110	13	crosses	cross	VERB
fcis-15227	110	14	the	the	DET
fcis-15227	110	15	middle	middle	ADJ
fcis-15227	110	16	layer	layer	NOUN
fcis-15227	110	17	and	and	CCONJ
fcis-15227	110	18	directly	directly	ADV
fcis-15227	110	19	takes	take	VERB
fcis-15227	110	20	the	the	DET
fcis-15227	110	21	output	output	NOUN
fcis-15227	110	22	of	of	ADP
fcis-15227	110	23	the	the	DET
fcis-15227	110	24	previous	previous	ADJ
fcis-15227	110	25	layer	layer	NOUN
fcis-15227	110	26	as	as	ADP
fcis-15227	110	27	the	the	DET
fcis-15227	110	28	input	input	NOUN
fcis-15227	110	29	of	of	ADP
fcis-15227	110	30	the	the	DET
fcis-15227	110	31	subsequent	subsequent	ADJ
fcis-15227	110	32	layer	layer	NOUN
fcis-15227	110	33	.	.	PUNCT
fcis-15227	111	1	skip	skip	VERB
fcis-15227	111	2	connections[10	connections[10	NOUN
fcis-15227	111	3	]	]	PUNCT
fcis-15227	111	4	are	be	AUX
fcis-15227	111	5	a	a	DET
fcis-15227	111	6	way	way	NOUN
fcis-15227	111	7	to	to	PART
fcis-15227	111	8	help	help	VERB
fcis-15227	111	9	features	feature	NOUN
fcis-15227	111	10	move	move	VERB
fcis-15227	111	11	quickly	quickly	ADV
fcis-15227	111	12	across	across	ADP
fcis-15227	111	13	the	the	DET
fcis-15227	111	14	network	network	NOUN
fcis-15227	111	15	.	.	PUNCT
fcis-15227	112	1	and	and	CCONJ
fcis-15227	112	2	it	it	PRON
fcis-15227	112	3	helps	help	VERB
fcis-15227	112	4	alleviate	alleviate	VERB
fcis-15227	112	5	problems	problem	NOUN
fcis-15227	112	6	like	like	ADP
fcis-15227	112	7	disappearing	disappear	VERB
fcis-15227	112	8	gradients	gradient	NOUN
fcis-15227	112	9	.	.	PUNCT
fcis-15227	113	1	the	the	DET
fcis-15227	113	2	main	main	ADJ
fcis-15227	113	3	idea	idea	NOUN
fcis-15227	113	4	of	of	ADP
fcis-15227	113	5	skip	skip	ADJ
fcis-15227	113	6	connections	connection	NOUN
fcis-15227	113	7	is	be	AUX
fcis-15227	113	8	to	to	PART
fcis-15227	113	9	connect	connect	VERB
fcis-15227	113	10	layers	layer	NOUN
fcis-15227	113	11	of	of	ADP
fcis-15227	113	12	the	the	DET
fcis-15227	113	13	network	network	NOUN
fcis-15227	113	14	that	that	PRON
fcis-15227	113	15	are	be	AUX
fcis-15227	113	16	not	not	PART
fcis-15227	113	17	upstream	upstream	ADJ
fcis-15227	113	18	or	or	CCONJ
fcis-15227	113	19	downstream	downstream	ADJ
fcis-15227	113	20	by	by	ADP
fcis-15227	113	21	adding	add	VERB
fcis-15227	113	22	additional	additional	ADJ
fcis-15227	113	23	connections	connection	NOUN
fcis-15227	113	24	.	.	PUNCT
fcis-15227	114	1	allow	allow	VERB
fcis-15227	114	2	subsequent	subsequent	ADJ
fcis-15227	114	3	layers	layer	NOUN
fcis-15227	114	4	of	of	ADP
fcis-15227	114	5	the	the	DET
fcis-15227	114	6	network	network	NOUN
fcis-15227	114	7	to	to	PART
fcis-15227	114	8	obtain	obtain	VERB
fcis-15227	114	9	inputs	input	NOUN
fcis-15227	114	10	from	from	ADP
fcis-15227	114	11	previous	previous	ADJ
fcis-15227	114	12	layers	layer	NOUN
fcis-15227	114	13	or	or	CCONJ
fcis-15227	114	14	intermediate	intermediate	ADJ
fcis-15227	114	15	feature	feature	NOUN
fcis-15227	114	16	maps	map	NOUN
fcis-15227	114	17	in	in	ADP
fcis-15227	114	18	order	order	NOUN
fcis-15227	114	19	to	to	PART
fcis-15227	114	20	retain	retain	VERB
fcis-15227	114	21	more	more	ADJ
fcis-15227	114	22	information	information	NOUN
fcis-15227	114	23	.	.	PUNCT
fcis-15227	115	1	these	these	DET
fcis-15227	115	2	additional	additional	ADJ
fcis-15227	115	3	connections	connection	NOUN
fcis-15227	115	4	can	can	AUX
fcis-15227	115	5	be	be	AUX
fcis-15227	115	6	fused	fuse	VERB
fcis-15227	115	7	by	by	ADP
fcis-15227	115	8	simple	simple	ADJ
fcis-15227	115	9	pixel	pixel	ADJ
fcis-15227	115	10	-	-	PUNCT
fcis-15227	115	11	level	level	NOUN
fcis-15227	115	12	addition	addition	NOUN
fcis-15227	115	13	.	.	PUNCT
fcis-15227	116	1	3.3	3.3	NUM
fcis-15227	116	2	.	.	PUNCT
fcis-15227	117	1	the	the	DET
fcis-15227	117	2	image	image	NOUN
fcis-15227	117	3	inpainting	inpainte	VERB
fcis-15227	117	4	module	module	NOUN
fcis-15227	117	5	is	be	AUX
fcis-15227	117	6	combined	combine	VERB
fcis-15227	117	7	with	with	ADP
fcis-15227	117	8	gated	gate	VERB
fcis-15227	117	9	convolution	convolution	NOUN
fcis-15227	117	10	in	in	ADP
fcis-15227	117	11	order	order	NOUN
fcis-15227	117	12	to	to	PART
fcis-15227	117	13	address	address	VERB
fcis-15227	117	14	the	the	DET
fcis-15227	117	15	issue	issue	NOUN
fcis-15227	117	16	of	of	ADP
fcis-15227	117	17	disparate	disparate	ADJ
fcis-15227	117	18	targets	target	NOUN
fcis-15227	117	19	in	in	ADP
fcis-15227	117	20	traditional	traditional	ADJ
fcis-15227	117	21	convolution	convolution	NOUN
fcis-15227	117	22	when	when	SCONJ
fcis-15227	117	23	dealing	deal	VERB
fcis-15227	117	24	with	with	ADP
fcis-15227	117	25	image	image	NOUN
fcis-15227	117	26	inpainting	inpainte	VERB
fcis-15227	117	27	tasks	task	NOUN
fcis-15227	117	28	,	,	PUNCT
fcis-15227	117	29	liu	liu	PROPN
fcis-15227	117	30	et	et	PROPN
fcis-15227	117	31	al	al	PROPN
fcis-15227	117	32	.	.	PROPN
fcis-15227	117	33	proposed	propose	VERB
fcis-15227	117	34	partial	partial	ADJ
fcis-15227	117	35	convolution	convolution	NOUN
fcis-15227	117	36	.	.	PUNCT
fcis-15227	118	1	our	our	PRON
fcis-15227	118	2	model	model	NOUN
fcis-15227	118	3	design	design	NOUN
fcis-15227	118	4	incorporates	incorporate	VERB
fcis-15227	118	5	gated	gate	VERB
fcis-15227	118	6	convolution	convolution	NOUN
fcis-15227	118	7	to	to	PART
fcis-15227	118	8	replace	replace	VERB
fcis-15227	118	9	conventional	conventional	ADJ
fcis-15227	118	10	convolutional	convolutional	ADJ
fcis-15227	118	11	layers	layer	NOUN
fcis-15227	118	12	in	in	ADP
fcis-15227	118	13	common	common	ADJ
fcis-15227	118	14	encoderdecoder	encoderdecoder	NOUN
fcis-15227	118	15	architectures	architecture	NOUN
fcis-15227	118	16	for	for	ADP
fcis-15227	118	17	feature	feature	NOUN
fcis-15227	118	18	extraction	extraction	NOUN
fcis-15227	118	19	.	.	PUNCT
fcis-15227	119	1	the	the	DET
fcis-15227	119	2	input	input	NOUN
fcis-15227	119	3	image	image	NOUN
fcis-15227	119	4	and	and	CCONJ
fcis-15227	119	5	mask	mask	NOUN
fcis-15227	119	6	undergo	undergo	VERB
fcis-15227	119	7	two	two	NUM
fcis-15227	119	8	stages	stage	NOUN
fcis-15227	119	9	of	of	ADP
fcis-15227	119	10	encoder	encoder	NOUN
fcis-15227	119	11	down	down	ADV
fcis-15227	119	12	-	-	PUNCT
fcis-15227	119	13	sampling	sample	VERB
fcis-15227	119	14	and	and	CCONJ
fcis-15227	119	15	up	up	ADV
fcis-15227	119	16	-	-	PUNCT
fcis-15227	119	17	sampling	sampling	NOUN
fcis-15227	119	18	,	,	PUNCT
fcis-15227	119	19	respectively	respectively	ADV
fcis-15227	119	20	.	.	PUNCT
fcis-15227	120	1	the	the	DET
fcis-15227	120	2	downsampling	downsample	VERB
fcis-15227	120	3	stage	stage	NOUN
fcis-15227	120	4	comprises	comprise	VERB
fcis-15227	120	5	three	three	NUM
fcis-15227	120	6	layers	layer	NOUN
fcis-15227	120	7	:	:	PUNCT
fcis-15227	120	8	a	a	DET
fcis-15227	120	9	gated	gate	VERB
fcis-15227	120	10	convolution	convolution	NOUN
fcis-15227	120	11	layer	layer	NOUN
fcis-15227	120	12	,	,	PUNCT
fcis-15227	120	13	a	a	DET
fcis-15227	120	14	batch	batch	NOUN
fcis-15227	120	15	normalization	normalization	NOUN
fcis-15227	120	16	layer	layer	NOUN
fcis-15227	120	17	(	(	PUNCT
fcis-15227	120	18	bn	bn	NOUN
fcis-15227	120	19	)	)	PUNCT
fcis-15227	120	20	,	,	PUNCT
fcis-15227	120	21	and	and	CCONJ
fcis-15227	120	22	aaky	aaky	PROPN
fcis-15227	120	23	rectified	rectify	VERB
fcis-15227	120	24	linear	linear	PROPN
fcis-15227	120	25	unit	unit	NOUN
fcis-15227	120	26	(	(	PUNCT
fcis-15227	120	27	leaky	leaky	ADJ
fcis-15227	120	28	relu	relu	NOUN
fcis-15227	120	29	)	)	PUNCT
fcis-15227	120	30	activation	activation	NOUN
fcis-15227	120	31	function	function	NOUN
fcis-15227	120	32	layer	layer	NOUN
fcis-15227	120	33	.	.	PUNCT
fcis-15227	121	1	the	the	DET
fcis-15227	121	2	kernel	kernel	PROPN
fcis-15227	121	3	size	size	NOUN
fcis-15227	121	4	of	of	ADP
fcis-15227	121	5	the	the	DET
fcis-15227	121	6	gated	gate	VERB
fcis-15227	121	7	convolutional	convolutional	ADJ
fcis-15227	121	8	layer	layer	NOUN
fcis-15227	121	9	is	be	AUX
fcis-15227	121	10	5,3,3	5,3,3	NUM
fcis-15227	121	11	,	,	PUNCT
fcis-15227	121	12	while	while	SCONJ
fcis-15227	121	13	the	the	DET
fcis-15227	121	14	number	number	NOUN
fcis-15227	121	15	of	of	ADP
fcis-15227	121	16	channels	channel	NOUN
fcis-15227	121	17	is	be	AUX
fcis-15227	121	18	64,128,256	64,128,256	NUM
fcis-15227	121	19	respectively	respectively	ADV
fcis-15227	121	20	.	.	PUNCT
fcis-15227	122	1	we	we	PRON
fcis-15227	122	2	employ	employ	VERB
fcis-15227	122	3	concatenate	concatenate	NOUN
fcis-15227	122	4	operation	operation	NOUN
fcis-15227	122	5	to	to	PART
fcis-15227	122	6	connect	connect	VERB
fcis-15227	122	7	the	the	DET
fcis-15227	122	8	multi	multi	ADJ
fcis-15227	122	9	-	-	ADJ
fcis-15227	122	10	level	level	ADJ
fcis-15227	122	11	feature	feature	NOUN
fcis-15227	122	12	extraction	extraction	NOUN
fcis-15227	122	13	module	module	NOUN
fcis-15227	122	14	for	for	ADP
fcis-15227	122	15	achieving	achieve	VERB
fcis-15227	122	16	fusion	fusion	NOUN
fcis-15227	122	17	of	of	ADP
fcis-15227	122	18	multi	multi	ADJ
fcis-15227	122	19	-	-	ADJ
fcis-15227	122	20	scale	scale	ADJ
fcis-15227	122	21	features	feature	NOUN
fcis-15227	122	22	.	.	PUNCT
fcis-15227	123	1	incorporating	incorporate	VERB
fcis-15227	123	2	bn	bn	NUM
fcis-15227	123	3	layers	layer	NOUN
fcis-15227	123	4	enhances	enhance	VERB
fcis-15227	123	5	the	the	DET
fcis-15227	123	6	network	network	NOUN
fcis-15227	123	7	's	's	PART
fcis-15227	123	8	generalization	generalization	NOUN
fcis-15227	123	9	ability	ability	NOUN
fcis-15227	123	10	.	.	PUNCT
fcis-15227	124	1	as	as	SCONJ
fcis-15227	124	2	the	the	DET
fcis-15227	124	3	number	number	NOUN
fcis-15227	124	4	of	of	ADP
fcis-15227	124	5	channels	channel	NOUN
fcis-15227	124	6	increases	increase	VERB
fcis-15227	124	7	gradually	gradually	ADV
fcis-15227	124	8	,	,	PUNCT
fcis-15227	124	9	the	the	DET
fcis-15227	124	10	size	size	NOUN
fcis-15227	124	11	of	of	ADP
fcis-15227	124	12	the	the	DET
fcis-15227	124	13	feature	feature	NOUN
fcis-15227	124	14	map	map	NOUN
fcis-15227	124	15	decreases	decrease	VERB
fcis-15227	124	16	progressively	progressively	ADV
fcis-15227	124	17	and	and	CCONJ
fcis-15227	124	18	obtains	obtain	VERB
fcis-15227	124	19	repaired	repaired	ADJ
fcis-15227	124	20	image	image	NOUN
fcis-15227	124	21	's	's	PART
fcis-15227	124	22	feature	feature	NOUN
fcis-15227	124	23	information	information	NOUN
fcis-15227	124	24	layer	layer	NOUN
fcis-15227	124	25	by	by	ADP
fcis-15227	124	26	layer	layer	NOUN
fcis-15227	124	27	during	during	ADP
fcis-15227	124	28	downsampling	downsample	VERB
fcis-15227	124	29	process	process	NOUN
fcis-15227	124	30	.	.	PUNCT
fcis-15227	125	1	in	in	ADP
fcis-15227	125	2	addition	addition	NOUN
fcis-15227	125	3	to	to	ADP
fcis-15227	125	4	that	that	PRON
fcis-15227	125	5	during	during	ADP
fcis-15227	125	6	downsampling	downsample	VERB
fcis-15227	125	7	process	process	NOUN
fcis-15227	125	8	as	as	SCONJ
fcis-15227	125	9	mentioned	mention	VERB
fcis-15227	125	10	above	above	ADV
fcis-15227	125	11	,	,	PUNCT
fcis-15227	125	12	the	the	DET
fcis-15227	125	13	upsampling	upsample	VERB
fcis-15227	125	14	stage	stage	NOUN
fcis-15227	125	15	also	also	ADV
fcis-15227	125	16	consists	consist	VERB
fcis-15227	125	17	of	of	ADP
fcis-15227	125	18	three	three	NUM
fcis-15227	125	19	layers	layer	NOUN
fcis-15227	125	20	:	:	PUNCT
fcis-15227	125	21	a	a	DET
fcis-15227	125	22	gated	gate	VERB
fcis-15227	125	23	convolutional	convolutional	ADJ
fcis-15227	125	24	layer	layer	NOUN
fcis-15227	125	25	,	,	PUNCT
fcis-15227	125	26	a	a	DET
fcis-15227	125	27	batch	batch	NOUN
fcis-15227	125	28	normalization	normalization	NOUN
fcis-15227	125	29	(	(	PUNCT
fcis-15227	125	30	bn	bn	NOUN
fcis-15227	125	31	)	)	PUNCT
fcis-15227	125	32	layer	layer	NOUN
fcis-15227	125	33	,	,	PUNCT
fcis-15227	125	34	and	and	CCONJ
fcis-15227	125	35	a	a	DET
fcis-15227	125	36	leaky	leaky	ADJ
fcis-15227	125	37	rectified	rectified	ADJ
fcis-15227	125	38	linear	linear	NOUN
fcis-15227	125	39	unit	unit	NOUN
fcis-15227	125	40	(	(	PUNCT
fcis-15227	125	41	leaky	leaky	ADJ
fcis-15227	125	42	relu	relu	NOUN
fcis-15227	125	43	)	)	PUNCT
fcis-15227	125	44	activation	activation	NOUN
fcis-15227	125	45	function	function	NOUN
fcis-15227	125	46	layer	layer	NOUN
fcis-15227	125	47	.	.	PUNCT
fcis-15227	126	1	the	the	DET
fcis-15227	126	2	kernel	kernel	PROPN
fcis-15227	126	3	size	size	NOUN
fcis-15227	126	4	used	use	VERB
fcis-15227	126	5	in	in	ADP
fcis-15227	126	6	this	this	DET
fcis-15227	126	7	case	case	NOUN
fcis-15227	126	8	are	be	AUX
fcis-15227	126	9	5,3	5,3	NUM
fcis-15227	126	10	,	,	PUNCT
fcis-15227	126	11	and3	and3	NOUN
fcis-15227	126	12	,	,	PUNCT
fcis-15227	126	13	respectively	respectively	ADV
fcis-15227	126	14	.	.	PUNCT
fcis-15227	127	1	the	the	DET
fcis-15227	127	2	corresponding	corresponding	ADJ
fcis-15227	127	3	numbers	number	NOUN
fcis-15227	127	4	of	of	ADP
fcis-15227	127	5	channels	channel	NOUN
fcis-15227	127	6	are	be	AUX
fcis-15227	127	7	64	64	NUM
fcis-15227	127	8	,	,	PUNCT
fcis-15227	127	9	128	128	NUM
fcis-15227	127	10	,	,	PUNCT
fcis-15227	127	11	and	and	CCONJ
fcis-15227	127	12	256	256	NUM
fcis-15227	127	13	.	.	PUNCT
fcis-15227	128	1	lastly	lastly	ADV
fcis-15227	128	2	,	,	PUNCT
fcis-15227	128	3	the	the	DET
fcis-15227	128	4	last	last	ADJ
fcis-15227	128	5	layer	layer	NOUN
fcis-15227	128	6	uses	use	VERB
fcis-15227	128	7	sigmoid	sigmoid	NOUN
fcis-15227	128	8	activation	activation	NOUN
fcis-15227	128	9	function	function	NOUN
fcis-15227	128	10	.	.	PUNCT
fcis-15227	129	1	the	the	DET
fcis-15227	129	2	specific	specific	ADJ
fcis-15227	129	3	parameters	parameter	NOUN
fcis-15227	129	4	of	of	ADP
fcis-15227	129	5	each	each	DET
fcis-15227	129	6	layer	layer	NOUN
fcis-15227	129	7	of	of	ADP
fcis-15227	129	8	the	the	DET
fcis-15227	129	9	inpating	inpate	VERB
fcis-15227	129	10	network	network	NOUN
fcis-15227	129	11	are	be	AUX
fcis-15227	129	12	shown	show	VERB
fcis-15227	129	13	in	in	ADP
fcis-15227	129	14	table	table	NOUN
fcis-15227	129	15	1	1	NUM
fcis-15227	129	16	below	below	ADV
fcis-15227	129	17	.	.	PUNCT
fcis-15227	130	1	99	99	NUM
fcis-15227	130	2	table	table	NOUN
fcis-15227	130	3	1	1	NUM
fcis-15227	130	4	.	.	PUNCT
fcis-15227	130	5	image	image	NOUN
fcis-15227	130	6	inpainting	inpainte	VERB
fcis-15227	130	7	network	network	NOUN
fcis-15227	130	8	architecture	architecture	NOUN
fcis-15227	130	9	type	type	NOUN
fcis-15227	130	10	kernel	kernel	NOUN
fcis-15227	130	11	stride	stride	PROPN
fcis-15227	130	12	inputs	input	NOUN
fcis-15227	130	13	outputs	output	NOUN
fcis-15227	130	14	gateconv	gateconv	VERB
fcis-15227	130	15	5×5	5×5	NUM
fcis-15227	130	16	1×1	1×1	NOUN
fcis-15227	130	17	4	4	NUM
fcis-15227	130	18	64	64	NUM
fcis-15227	130	19	gateconv	gateconv	NOUN
fcis-15227	130	20	3×3	3×3	NUM
fcis-15227	130	21	2×2	2×2	NUM
fcis-15227	130	22	64	64	NUM
fcis-15227	130	23	128	128	NUM
fcis-15227	130	24	gateconv	gateconv	NOUN
fcis-15227	130	25	3×3	3×3	NUM
fcis-15227	130	26	1×1	1×1	NUM
fcis-15227	130	27	128	128	NUM
fcis-15227	130	28	128	128	NUM
fcis-15227	130	29	conv	conv	ADJ
fcis-15227	130	30	3×3	3×3	NUM
fcis-15227	130	31	2×2	2×2	NUM
fcis-15227	130	32	128	128	NUM
fcis-15227	130	33	256	256	NUM
fcis-15227	130	34	conv	conv	ADJ
fcis-15227	130	35	3×3	3×3	NUM
fcis-15227	130	36	1×1	1×1	NUM
fcis-15227	130	37	256	256	NUM
fcis-15227	130	38	256	256	NUM
fcis-15227	130	39	conv	conv	ADJ
fcis-15227	130	40	3×3	3×3	NUM
fcis-15227	130	41	1×1	1×1	NUM
fcis-15227	130	42	256	256	NUM
fcis-15227	130	43	256	256	NUM
fcis-15227	130	44	dilatedconv	dilatedconv	VERB
fcis-15227	130	45	3×3	3×3	NUM
fcis-15227	130	46	1×1	1×1	NUM
fcis-15227	130	47	256	256	NUM
fcis-15227	130	48	256	256	NUM
fcis-15227	130	49	dilatedconv	dilatedconv	VERB
fcis-15227	130	50	3×3	3×3	NUM
fcis-15227	130	51	1×1	1×1	NUM
fcis-15227	130	52	256	256	NUM
fcis-15227	130	53	256	256	NUM
fcis-15227	130	54	dilatedconv	dilatedconv	VERB
fcis-15227	130	55	3×3	3×3	NUM
fcis-15227	130	56	1×1	1×1	NUM
fcis-15227	130	57	256	256	NUM
fcis-15227	130	58	256	256	NUM
fcis-15227	130	59	dilatedconv	dilatedconv	VERB
fcis-15227	130	60	3×3	3×3	NUM
fcis-15227	130	61	1×1	1×1	NUM
fcis-15227	130	62	256	256	NUM
fcis-15227	130	63	256	256	NUM
fcis-15227	130	64	conv	conv	ADJ
fcis-15227	130	65	3×3	3×3	NUM
fcis-15227	130	66	1×1	1×1	NUM
fcis-15227	130	67	256	256	NUM
fcis-15227	130	68	256	256	NUM
fcis-15227	130	69	conv	conv	ADJ
fcis-15227	130	70	3×3	3×3	NUM
fcis-15227	130	71	1×1	1×1	NUM
fcis-15227	130	72	256	256	NUM
fcis-15227	130	73	256	256	NUM
fcis-15227	130	74	deconv	deconv	ADJ
fcis-15227	130	75	4×4	4×4	NUM
fcis-15227	130	76	2×2	2×2	NOUN
fcis-15227	130	77	256	256	NUM
fcis-15227	130	78	128	128	NUM
fcis-15227	130	79	conv	conv	ADJ
fcis-15227	130	80	3×3	3×3	NUM
fcis-15227	130	81	1×1	1×1	NUM
fcis-15227	130	82	128	128	NUM
fcis-15227	130	83	128	128	NUM
fcis-15227	130	84	deconv	deconv	PROPN
fcis-15227	130	85	4×4	4×4	NUM
fcis-15227	130	86	2×2	2×2	NOUN
fcis-15227	130	87	128	128	NUM
fcis-15227	130	88	64	64	NUM
fcis-15227	130	89	conv	conv	ADJ
fcis-15227	130	90	3×3	3×3	NUM
fcis-15227	130	91	1×1	1×1	NUM
fcis-15227	130	92	64	64	NUM
fcis-15227	130	93	32	32	NUM
fcis-15227	130	94	output	output	NOUN
fcis-15227	130	95	3×3	3×3	NUM
fcis-15227	130	96	1×1	1×1	NUM
fcis-15227	130	97	32	32	NUM
fcis-15227	130	98	3	3	NUM
fcis-15227	130	99	3.4	3.4	NUM
fcis-15227	130	100	.	.	PUNCT
fcis-15227	131	1	the	the	DET
fcis-15227	131	2	dual	dual	ADJ
fcis-15227	131	3	discriminator	discriminator	NOUN
fcis-15227	131	4	module	module	NOUN
fcis-15227	131	5	is	be	AUX
fcis-15227	131	6	combined	combine	VERB
fcis-15227	131	7	with	with	ADP
fcis-15227	131	8	spectral	spectral	ADJ
fcis-15227	131	9	normalization	normalization	NOUN
fcis-15227	131	10	the	the	DET
fcis-15227	131	11	dual	dual	ADJ
fcis-15227	131	12	discriminator	discriminator	NOUN
fcis-15227	131	13	consists	consist	VERB
fcis-15227	131	14	of	of	ADP
fcis-15227	131	15	a	a	DET
fcis-15227	131	16	global	global	ADJ
fcis-15227	131	17	discriminator	discriminator	NOUN
fcis-15227	131	18	and	and	CCONJ
fcis-15227	131	19	a	a	DET
fcis-15227	131	20	local	local	ADJ
fcis-15227	131	21	discriminator	discriminator	NOUN
fcis-15227	131	22	.	.	PUNCT
fcis-15227	132	1	the	the	DET
fcis-15227	132	2	global	global	ADJ
fcis-15227	132	3	discriminator	discriminator	NOUN
fcis-15227	132	4	network	network	NOUN
fcis-15227	132	5	includes	include	VERB
fcis-15227	132	6	7	7	NUM
fcis-15227	132	7	layers	layer	NOUN
fcis-15227	132	8	,	,	PUNCT
fcis-15227	132	9	and	and	CCONJ
fcis-15227	132	10	the	the	DET
fcis-15227	132	11	first	first	ADJ
fcis-15227	132	12	6	6	NUM
fcis-15227	132	13	layers	layer	NOUN
fcis-15227	132	14	use	use	VERB
fcis-15227	132	15	convolution	convolution	NOUN
fcis-15227	132	16	kernels	kernel	NOUN
fcis-15227	132	17	with	with	ADP
fcis-15227	132	18	a	a	DET
fcis-15227	132	19	convolution	convolution	NOUN
fcis-15227	132	20	kernel	kernel	NOUN
fcis-15227	132	21	size	size	NOUN
fcis-15227	132	22	of	of	ADP
fcis-15227	132	23	5×5	5×5	NUM
fcis-15227	132	24	and	and	CCONJ
fcis-15227	132	25	a	a	DET
fcis-15227	132	26	step	step	NOUN
fcis-15227	132	27	size	size	NOUN
fcis-15227	132	28	of	of	ADP
fcis-15227	132	29	2	2	NUM
fcis-15227	132	30	to	to	PART
fcis-15227	132	31	reduce	reduce	VERB
fcis-15227	132	32	the	the	DET
fcis-15227	132	33	size	size	NOUN
fcis-15227	132	34	of	of	ADP
fcis-15227	132	35	the	the	DET
fcis-15227	132	36	feature	feature	NOUN
fcis-15227	132	37	map	map	NOUN
fcis-15227	132	38	.	.	PUNCT
fcis-15227	133	1	we	we	PRON
fcis-15227	133	2	add	add	VERB
fcis-15227	133	3	a	a	DET
fcis-15227	133	4	spectral	spectral	ADJ
fcis-15227	133	5	normalization	normalization	NOUN
fcis-15227	133	6	mechanism	mechanism	NOUN
fcis-15227	133	7	to	to	ADP
fcis-15227	133	8	each	each	DET
fcis-15227	133	9	convolution	convolution	NOUN
fcis-15227	133	10	layer	layer	NOUN
fcis-15227	133	11	to	to	PART
fcis-15227	133	12	make	make	VERB
fcis-15227	133	13	the	the	DET
fcis-15227	133	14	training	training	NOUN
fcis-15227	133	15	of	of	ADP
fcis-15227	133	16	the	the	DET
fcis-15227	133	17	generative	generative	ADJ
fcis-15227	133	18	adversarial	adversarial	ADJ
fcis-15227	133	19	image	image	NOUN
fcis-15227	133	20	repair	repair	NOUN
fcis-15227	133	21	model	model	NOUN
fcis-15227	133	22	in	in	ADP
fcis-15227	133	23	this	this	DET
fcis-15227	133	24	paper	paper	NOUN
fcis-15227	133	25	more	more	ADV
fcis-15227	133	26	stable	stable	ADJ
fcis-15227	133	27	.	.	PUNCT
fcis-15227	134	1	the	the	DET
fcis-15227	134	2	local	local	ADJ
fcis-15227	134	3	discriminator	discriminator	NOUN
fcis-15227	134	4	has	have	VERB
fcis-15227	134	5	six	six	NUM
fcis-15227	134	6	layers	layer	NOUN
fcis-15227	134	7	,	,	PUNCT
fcis-15227	134	8	and	and	CCONJ
fcis-15227	134	9	the	the	DET
fcis-15227	134	10	first	first	ADJ
fcis-15227	134	11	five	five	NUM
fcis-15227	134	12	layers	layer	NOUN
fcis-15227	134	13	use	use	VERB
fcis-15227	134	14	convolution	convolution	NOUN
fcis-15227	134	15	layers	layer	NOUN
fcis-15227	134	16	with	with	ADP
fcis-15227	134	17	a	a	DET
fcis-15227	134	18	convolution	convolution	NOUN
fcis-15227	134	19	kernel	kernel	NOUN
fcis-15227	134	20	size	size	NOUN
fcis-15227	134	21	of	of	ADP
fcis-15227	134	22	5×5	5×5	NUM
fcis-15227	134	23	and	and	CCONJ
fcis-15227	134	24	a	a	DET
fcis-15227	134	25	step	step	NOUN
fcis-15227	134	26	size	size	NOUN
fcis-15227	134	27	of	of	ADP
fcis-15227	134	28	2	2	NUM
fcis-15227	134	29	to	to	PART
fcis-15227	134	30	reduce	reduce	VERB
fcis-15227	134	31	the	the	DET
fcis-15227	134	32	local	local	ADJ
fcis-15227	134	33	feature	feature	NOUN
fcis-15227	134	34	map	map	NOUN
fcis-15227	134	35	size	size	NOUN
fcis-15227	134	36	.	.	PUNCT
fcis-15227	135	1	the	the	DET
fcis-15227	135	2	output	output	NOUN
fcis-15227	135	3	of	of	ADP
fcis-15227	135	4	the	the	DET
fcis-15227	135	5	last	last	ADJ
fcis-15227	135	6	layer	layer	NOUN
fcis-15227	135	7	of	of	ADP
fcis-15227	135	8	the	the	DET
fcis-15227	135	9	global	global	ADJ
fcis-15227	135	10	discriminator	discriminator	NOUN
fcis-15227	135	11	and	and	CCONJ
fcis-15227	135	12	the	the	DET
fcis-15227	135	13	local	local	ADJ
fcis-15227	135	14	discriminator	discriminator	NOUN
fcis-15227	135	15	are	be	AUX
fcis-15227	135	16	both	both	PRON
fcis-15227	135	17	1	1	NUM
fcis-15227	135	18	dimensional	dimensional	ADJ
fcis-15227	135	19	tensors	tensor	NOUN
fcis-15227	135	20	with	with	ADP
fcis-15227	135	21	1024	1024	NUM
fcis-15227	135	22	outputs	output	NOUN
fcis-15227	135	23	.	.	PUNCT
fcis-15227	136	1	finally	finally	ADV
fcis-15227	136	2	,	,	PUNCT
fcis-15227	136	3	the	the	DET
fcis-15227	136	4	outputs	output	NOUN
fcis-15227	136	5	of	of	ADP
fcis-15227	136	6	the	the	DET
fcis-15227	136	7	global	global	ADJ
fcis-15227	136	8	and	and	CCONJ
fcis-15227	136	9	local	local	ADJ
fcis-15227	136	10	context	context	NOUN
fcis-15227	136	11	discriminators	discriminator	NOUN
fcis-15227	136	12	are	be	AUX
fcis-15227	136	13	concatenated	concatenate	VERB
fcis-15227	136	14	into	into	ADP
fcis-15227	136	15	a	a	DET
fcis-15227	136	16	single	single	ADJ
fcis-15227	136	17	2048	2048	NUM
fcis-15227	136	18	-	-	PUNCT
fcis-15227	136	19	dimensional	dimensional	ADJ
fcis-15227	136	20	vector	vector	NOUN
fcis-15227	136	21	,	,	PUNCT
fcis-15227	136	22	which	which	PRON
fcis-15227	136	23	is	be	AUX
fcis-15227	136	24	processed	process	VERB
fcis-15227	136	25	through	through	ADP
fcis-15227	136	26	the	the	DET
fcis-15227	136	27	fully	fully	ADV
fcis-15227	136	28	connected	connect	VERB
fcis-15227	136	29	layer	layer	NOUN
fcis-15227	136	30	to	to	PART
fcis-15227	136	31	output	output	VERB
fcis-15227	136	32	continuous	continuous	ADJ
fcis-15227	136	33	values	value	NOUN
fcis-15227	136	34	in	in	ADP
fcis-15227	136	35	the	the	DET
fcis-15227	136	36	range	range	NOUN
fcis-15227	136	37	of	of	ADP
fcis-15227	136	38	0	0	NUM
fcis-15227	136	39	-	-	SYM
fcis-15227	136	40	1	1	NUM
fcis-15227	136	41	,	,	PUNCT
fcis-15227	136	42	representing	represent	VERB
fcis-15227	136	43	the	the	DET
fcis-15227	136	44	probability	probability	NOUN
fcis-15227	136	45	that	that	SCONJ
fcis-15227	136	46	the	the	DET
fcis-15227	136	47	image	image	NOUN
fcis-15227	136	48	is	be	AUX
fcis-15227	136	49	a	a	DET
fcis-15227	136	50	real	real	ADJ
fcis-15227	136	51	image	image	NOUN
fcis-15227	136	52	rather	rather	ADV
fcis-15227	136	53	than	than	ADP
fcis-15227	136	54	a	a	DET
fcis-15227	136	55	repaired	repaired	ADJ
fcis-15227	136	56	one	one	NUM
fcis-15227	136	57	.	.	PUNCT
fcis-15227	137	1	table	table	NOUN
fcis-15227	137	2	2	2	NUM
fcis-15227	137	3	.	.	PUNCT
fcis-15227	137	4	local	local	ADJ
fcis-15227	137	5	discriminator	discriminator	NOUN
fcis-15227	137	6	type	type	NOUN
fcis-15227	137	7	kernel	kernel	PROPN
fcis-15227	137	8	stride	stride	PROPN
fcis-15227	137	9	inputs	input	NOUN
fcis-15227	137	10	outputs	output	NOUN
fcis-15227	137	11	spectralconv	spectralconv	VERB
fcis-15227	137	12	5×5	5×5	NUM
fcis-15227	137	13	2×2	2×2	NUM
fcis-15227	137	14	4	4	NUM
fcis-15227	137	15	64	64	NUM
fcis-15227	137	16	spectralconv	spectralconv	ADJ
fcis-15227	137	17	5×5	5×5	NUM
fcis-15227	137	18	2×2	2×2	NOUN
fcis-15227	137	19	64	64	NUM
fcis-15227	137	20	128	128	NUM
fcis-15227	137	21	spectralconv	spectralconv	ADJ
fcis-15227	137	22	5×5	5×5	NUM
fcis-15227	137	23	2×2	2×2	NOUN
fcis-15227	137	24	128	128	NUM
fcis-15227	137	25	256	256	NUM
fcis-15227	137	26	spectralconv	spectralconv	ADJ
fcis-15227	137	27	5×5	5×5	NUM
fcis-15227	137	28	2×2	2×2	NOUN
fcis-15227	137	29	256	256	NUM
fcis-15227	137	30	512	512	NUM
fcis-15227	137	31	spectralconv	spectralconv	ADJ
fcis-15227	137	32	5×5	5×5	NUM
fcis-15227	137	33	2×2	2×2	NOUN
fcis-15227	137	34	512	512	NUM
fcis-15227	137	35	512	512	NUM
fcis-15227	137	36	fc	fc	PROPN
fcis-15227	137	37	512	512	NUM
fcis-15227	137	38	1024	1024	NUM
fcis-15227	137	39	table	table	NOUN
fcis-15227	137	40	3	3	NUM
fcis-15227	137	41	.	.	PUNCT
fcis-15227	138	1	global	global	ADJ
fcis-15227	138	2	discriminator	discriminator	NOUN
fcis-15227	138	3	type	type	NOUN
fcis-15227	138	4	kernel	kernel	PROPN
fcis-15227	138	5	stride	stride	PROPN
fcis-15227	138	6	inputs	input	NOUN
fcis-15227	138	7	outputs	output	NOUN
fcis-15227	138	8	spectralconv	spectralconv	VERB
fcis-15227	138	9	5×5	5×5	NUM
fcis-15227	138	10	2×2	2×2	NUM
fcis-15227	138	11	4	4	NUM
fcis-15227	138	12	64	64	NUM
fcis-15227	138	13	spectralconv	spectralconv	ADJ
fcis-15227	138	14	5×5	5×5	NUM
fcis-15227	138	15	2×2	2×2	NOUN
fcis-15227	138	16	64	64	NUM
fcis-15227	138	17	128	128	NUM
fcis-15227	138	18	spectralconv	spectralconv	ADJ
fcis-15227	138	19	5×5	5×5	NUM
fcis-15227	138	20	2×2	2×2	NOUN
fcis-15227	138	21	128	128	NUM
fcis-15227	138	22	256	256	NUM
fcis-15227	138	23	spectralconv	spectralconv	ADJ
fcis-15227	138	24	5×5	5×5	NUM
fcis-15227	138	25	2×2	2×2	NOUN
fcis-15227	138	26	256	256	NUM
fcis-15227	138	27	512	512	NUM
fcis-15227	138	28	spectralconv	spectralconv	ADJ
fcis-15227	138	29	5×5	5×5	NUM
fcis-15227	138	30	2×2	2×2	NOUN
fcis-15227	138	31	512	512	NUM
fcis-15227	138	32	512	512	NUM
fcis-15227	138	33	spectralconv	spectralconv	ADJ
fcis-15227	138	34	5×5	5×5	NUM
fcis-15227	138	35	2×2	2×2	NOUN
fcis-15227	138	36	512	512	NUM
fcis-15227	138	37	512	512	NUM
fcis-15227	138	38	fc	fc	PROPN
fcis-15227	138	39	512	512	NUM
fcis-15227	138	40	1024	1024	NUM
fcis-15227	138	41	finally	finally	ADV
fcis-15227	138	42	.	.	PUNCT
fcis-15227	139	1	the	the	DET
fcis-15227	139	2	output	output	NOUN
fcis-15227	139	3	of	of	ADP
fcis-15227	139	4	the	the	DET
fcis-15227	139	5	global	global	ADJ
fcis-15227	139	6	and	and	CCONJ
fcis-15227	139	7	local	local	ADJ
fcis-15227	139	8	context	context	NOUN
fcis-15227	139	9	discriminators	discriminator	NOUN
fcis-15227	139	10	is	be	AUX
fcis-15227	139	11	concatenated	concatenate	VERB
fcis-15227	139	12	into	into	ADP
fcis-15227	139	13	a	a	DET
fcis-15227	139	14	single	single	ADJ
fcis-15227	139	15	2048	2048	NUM
fcis-15227	139	16	-	-	PUNCT
fcis-15227	139	17	dimensional	dimensional	ADJ
fcis-15227	139	18	vector	vector	NOUN
fcis-15227	139	19	,	,	PUNCT
fcis-15227	139	20	which	which	PRON
fcis-15227	139	21	is	be	AUX
fcis-15227	139	22	processed	process	VERB
fcis-15227	139	23	through	through	ADP
fcis-15227	139	24	the	the	DET
fcis-15227	139	25	full	full	ADJ
fcis-15227	139	26	connection	connection	NOUN
fcis-15227	139	27	layer	layer	NOUN
fcis-15227	139	28	to	to	PART
fcis-15227	139	29	output	output	VERB
fcis-15227	139	30	a	a	DET
fcis-15227	139	31	continuous	continuous	ADJ
fcis-15227	139	32	value	value	NOUN
fcis-15227	139	33	in	in	ADP
fcis-15227	139	34	the	the	DET
fcis-15227	139	35	0	0	NUM
fcis-15227	139	36	-	-	SYM
fcis-15227	139	37	1	1	NUM
fcis-15227	139	38	range	range	NOUN
fcis-15227	139	39	,	,	PUNCT
fcis-15227	139	40	representing	represent	VERB
fcis-15227	139	41	the	the	DET
fcis-15227	139	42	probability	probability	NOUN
fcis-15227	139	43	that	that	SCONJ
fcis-15227	139	44	the	the	DET
fcis-15227	139	45	image	image	NOUN
fcis-15227	139	46	is	be	AUX
fcis-15227	139	47	a	a	DET
fcis-15227	139	48	real	real	ADJ
fcis-15227	139	49	image	image	NOUN
fcis-15227	139	50	rather	rather	ADV
fcis-15227	139	51	than	than	ADP
fcis-15227	139	52	a	a	DET
fcis-15227	139	53	fixed	fix	VERB
fcis-15227	139	54	image	image	NOUN
fcis-15227	139	55	.	.	PUNCT
fcis-15227	140	1	we	we	PRON
fcis-15227	140	2	jointly	jointly	ADV
fcis-15227	140	3	use	use	VERB
fcis-15227	140	4	two	two	NUM
fcis-15227	140	5	loss	loss	NOUN
fcis-15227	140	6	functions	function	NOUN
fcis-15227	140	7	:	:	PUNCT
fcis-15227	140	8	the	the	DET
fcis-15227	140	9	weighted	weight	VERB
fcis-15227	140	10	mean	mean	ADJ
fcis-15227	140	11	square	square	ADJ
fcis-15227	140	12	error	error	NOUN
fcis-15227	140	13	loss	loss	NOUN
fcis-15227	140	14	and	and	CCONJ
fcis-15227	140	15	the	the	DET
fcis-15227	140	16	generative	generative	ADJ
fcis-15227	140	17	adversarial	adversarial	ADJ
fcis-15227	140	18	loss	loss	NOUN
fcis-15227	140	19	to	to	PART
fcis-15227	140	20	improve	improve	VERB
fcis-15227	140	21	the	the	DET
fcis-15227	140	22	realism	realism	NOUN
fcis-15227	140	23	of	of	ADP
fcis-15227	140	24	the	the	DET
fcis-15227	140	25	results	result	NOUN
fcis-15227	140	26	.	.	PUNCT
fcis-15227	141	1	using	use	VERB
fcis-15227	141	2	a	a	DET
fcis-15227	141	3	mixture	mixture	NOUN
fcis-15227	141	4	of	of	ADP
fcis-15227	141	5	the	the	DET
fcis-15227	141	6	two	two	NUM
fcis-15227	141	7	loss	loss	NOUN
fcis-15227	141	8	functions	function	NOUN
fcis-15227	141	9	allows	allow	VERB
fcis-15227	141	10	stable	stable	ADJ
fcis-15227	141	11	training	training	NOUN
fcis-15227	141	12	of	of	ADP
fcis-15227	141	13	high	high	ADJ
fcis-15227	141	14	-	-	PUNCT
fcis-15227	141	15	performance	performance	NOUN
fcis-15227	141	16	network	network	NOUN
fcis-15227	141	17	models	model	NOUN
fcis-15227	141	18	.	.	PUNCT
fcis-15227	142	1	the	the	DET
fcis-15227	142	2	training	training	NOUN
fcis-15227	142	3	is	be	AUX
fcis-15227	142	4	done	do	VERB
fcis-15227	142	5	by	by	ADP
fcis-15227	142	6	backpropagation	backpropagation	NOUN
fcis-15227	142	7	4	4	NUM
fcis-15227	142	8	.	.	PUNCT
fcis-15227	142	9	results	result	VERB
fcis-15227	142	10	4.1	4.1	NUM
fcis-15227	142	11	.	.	PUNCT
fcis-15227	143	1	experimental	experimental	ADJ
fcis-15227	143	2	setup	setup	NOUN
fcis-15227	143	3	in	in	ADP
fcis-15227	143	4	the	the	DET
fcis-15227	143	5	experiment	experiment	NOUN
fcis-15227	143	6	,	,	PUNCT
fcis-15227	143	7	the	the	DET
fcis-15227	143	8	face	face	NOUN
fcis-15227	143	9	dataset	dataset	VERB
fcis-15227	143	10	celeba	celeba	PROPN
fcis-15227	143	11	[	[	X
fcis-15227	143	12	9	9	NUM
fcis-15227	143	13	]	]	PUNCT
fcis-15227	143	14	is	be	AUX
fcis-15227	143	15	used	use	VERB
fcis-15227	143	16	to	to	PART
fcis-15227	143	17	train	train	VERB
fcis-15227	143	18	the	the	DET
fcis-15227	143	19	inpainting	inpainting	ADJ
fcis-15227	143	20	model	model	NOUN
fcis-15227	143	21	.	.	PUNCT
fcis-15227	144	1	the	the	DET
fcis-15227	144	2	celeba	celeba	PROPN
fcis-15227	144	3	dataset	dataset	VERB
fcis-15227	144	4	is	be	AUX
fcis-15227	144	5	a	a	DET
fcis-15227	144	6	public	public	ADJ
fcis-15227	144	7	dataset	dataset	NOUN
fcis-15227	144	8	containing	contain	VERB
fcis-15227	144	9	200	200	NUM
fcis-15227	144	10	000	000	NUM
fcis-15227	144	11	face	face	NOUN
fcis-15227	144	12	data	datum	NOUN
fcis-15227	144	13	.	.	PUNCT
fcis-15227	145	1	it	it	PRON
fcis-15227	145	2	includes	include	VERB
fcis-15227	145	3	a	a	DET
fcis-15227	145	4	variety	variety	NOUN
fcis-15227	145	5	of	of	ADP
fcis-15227	145	6	face	face	NOUN
fcis-15227	145	7	images	image	NOUN
fcis-15227	145	8	of	of	ADP
fcis-15227	145	9	different	different	ADJ
fcis-15227	145	10	skin	skin	NOUN
fcis-15227	145	11	colors	color	NOUN
fcis-15227	145	12	,	,	PUNCT
fcis-15227	145	13	genders	gender	NOUN
fcis-15227	145	14	,	,	PUNCT
fcis-15227	145	15	ages	age	NOUN
fcis-15227	145	16	,	,	PUNCT
fcis-15227	145	17	and	and	CCONJ
fcis-15227	145	18	poses	pose	NOUN
fcis-15227	145	19	.	.	PUNCT
fcis-15227	146	1	in	in	ADP
fcis-15227	146	2	the	the	DET
fcis-15227	146	3	experiment	experiment	NOUN
fcis-15227	146	4	,	,	PUNCT
fcis-15227	146	5	200,000	200,000	NUM
fcis-15227	146	6	images	image	NOUN
fcis-15227	146	7	were	be	AUX
fcis-15227	146	8	selected	select	VERB
fcis-15227	146	9	and	and	CCONJ
fcis-15227	146	10	randomly	randomly	ADV
fcis-15227	146	11	divided	divide	VERB
fcis-15227	146	12	into	into	ADP
fcis-15227	146	13	training	training	NOUN
fcis-15227	146	14	data	datum	NOUN
fcis-15227	146	15	set	set	VERB
fcis-15227	146	16	and	and	CCONJ
fcis-15227	146	17	test	test	NOUN
fcis-15227	146	18	data	datum	NOUN
fcis-15227	146	19	set	set	VERB
fcis-15227	146	20	.	.	PUNCT
fcis-15227	147	1	the	the	DET
fcis-15227	147	2	training	training	NOUN
fcis-15227	147	3	data	datum	NOUN
fcis-15227	147	4	set	set	VERB
fcis-15227	147	5	included	include	VERB
fcis-15227	147	6	180,000	180,000	NUM
fcis-15227	147	7	images	image	NOUN
fcis-15227	147	8	,	,	PUNCT
fcis-15227	147	9	and	and	CCONJ
fcis-15227	147	10	the	the	DET
fcis-15227	147	11	test	test	NOUN
fcis-15227	147	12	data	datum	NOUN
fcis-15227	147	13	set	set	VERB
fcis-15227	147	14	included	include	VERB
fcis-15227	147	15	20,000	20,000	NUM
fcis-15227	147	16	images	image	NOUN
fcis-15227	147	17	.	.	PUNCT
fcis-15227	148	1	in	in	ADP
fcis-15227	148	2	the	the	DET
fcis-15227	148	3	data	datum	NOUN
fcis-15227	148	4	processing	processing	NOUN
fcis-15227	148	5	part	part	NOUN
fcis-15227	148	6	,	,	PUNCT
fcis-15227	148	7	the	the	DET
fcis-15227	148	8	photos	photo	NOUN
fcis-15227	148	9	with	with	ADP
fcis-15227	148	10	different	different	ADJ
fcis-15227	148	11	pixel	pixel	NOUN
fcis-15227	148	12	sizes	size	NOUN
fcis-15227	148	13	were	be	AUX
fcis-15227	148	14	processed	process	VERB
fcis-15227	148	15	into	into	ADP
fcis-15227	148	16	160×160	160×160	NUM
fcis-15227	148	17	pixel	pixel	NOUN
fcis-15227	148	18	blocks	block	NOUN
fcis-15227	148	19	as	as	ADP
fcis-15227	148	20	the	the	DET
fcis-15227	148	21	experimental	experimental	ADJ
fcis-15227	148	22	input	input	NOUN
fcis-15227	148	23	images	image	NOUN
fcis-15227	148	24	.	.	PUNCT
fcis-15227	149	1	for	for	ADP
fcis-15227	149	2	each	each	DET
fcis-15227	149	3	image	image	NOUN
fcis-15227	149	4	,	,	PUNCT
fcis-15227	149	5	faces	face	NOUN
fcis-15227	149	6	were	be	AUX
fcis-15227	149	7	detected	detect	VERB
fcis-15227	149	8	and	and	CCONJ
fcis-15227	149	9	cropped	crop	VERB
fcis-15227	149	10	into	into	ADP
fcis-15227	149	11	160×160	160×160	NUM
fcis-15227	149	12	size	size	NOUN
fcis-15227	149	13	pictures	picture	NOUN
fcis-15227	149	14	.	.	PUNCT
fcis-15227	150	1	the	the	DET
fcis-15227	150	2	experimental	experimental	ADJ
fcis-15227	150	3	data	datum	NOUN
fcis-15227	150	4	uses	use	VERB
fcis-15227	150	5	paired	pair	VERB
fcis-15227	150	6	data	datum	NOUN
fcis-15227	150	7	,	,	PUNCT
fcis-15227	150	8	and	and	CCONJ
fcis-15227	150	9	the	the	DET
fcis-15227	150	10	missing	miss	VERB
fcis-15227	150	11	data	datum	NOUN
fcis-15227	150	12	of	of	ADP
fcis-15227	150	13	the	the	DET
fcis-15227	150	14	complete	complete	ADJ
fcis-15227	150	15	picture	picture	NOUN
fcis-15227	150	16	is	be	AUX
fcis-15227	150	17	relatively	relatively	ADV
fcis-15227	150	18	small	small	ADJ
fcis-15227	150	19	and	and	CCONJ
fcis-15227	150	20	not	not	PART
fcis-15227	150	21	easy	easy	ADJ
fcis-15227	150	22	to	to	PART
fcis-15227	150	23	collect	collect	VERB
fcis-15227	150	24	.	.	PUNCT
fcis-15227	151	1	therefore	therefore	ADV
fcis-15227	151	2	,	,	PUNCT
fcis-15227	151	3	the	the	DET
fcis-15227	151	4	experiment	experiment	NOUN
fcis-15227	151	5	designs	design	VERB
fcis-15227	151	6	a	a	DET
fcis-15227	151	7	center	center	ADJ
fcis-15227	151	8	rectangular	rectangular	ADJ
fcis-15227	151	9	mask	mask	NOUN
fcis-15227	151	10	,	,	PUNCT
fcis-15227	151	11	a	a	DET
fcis-15227	151	12	random	random	ADJ
fcis-15227	151	13	rectangular	rectangular	ADJ
fcis-15227	151	14	mask	mask	NOUN
fcis-15227	151	15	,	,	PUNCT
fcis-15227	151	16	and	and	CCONJ
fcis-15227	151	17	a	a	DET
fcis-15227	151	18	random	random	ADJ
fcis-15227	151	19	number	number	NOUN
fcis-15227	151	20	of	of	ADP
fcis-15227	151	21	different	different	ADJ
fcis-15227	151	22	shape	shape	NOUN
fcis-15227	151	23	masks	mask	NOUN
fcis-15227	151	24	,	,	PUNCT
fcis-15227	151	25	and	and	CCONJ
fcis-15227	151	26	adds	add	VERB
fcis-15227	151	27	the	the	DET
fcis-15227	151	28	missing	miss	VERB
fcis-15227	151	29	mask	mask	NOUN
fcis-15227	151	30	from	from	ADP
fcis-15227	151	31	the	the	DET
fcis-15227	151	32	existing	exist	VERB
fcis-15227	151	33	complete	complete	ADJ
fcis-15227	151	34	picture	picture	NOUN
fcis-15227	151	35	to	to	PART
fcis-15227	151	36	generate	generate	VERB
fcis-15227	151	37	the	the	DET
fcis-15227	151	38	missing	miss	VERB
fcis-15227	151	39	picture	picture	NOUN
fcis-15227	151	40	,	,	PUNCT
fcis-15227	151	41	so	so	SCONJ
fcis-15227	151	42	as	as	SCONJ
fcis-15227	151	43	to	to	PART
fcis-15227	151	44	generate	generate	VERB
fcis-15227	151	45	the	the	DET
fcis-15227	151	46	paired	pair	VERB
fcis-15227	151	47	data	datum	NOUN
fcis-15227	151	48	set	set	VERB
fcis-15227	151	49	.	.	PUNCT
fcis-15227	152	1	figure	figure	NOUN
fcis-15227	152	2	4	4	NUM
fcis-15227	152	3	.	.	PUNCT
fcis-15227	153	1	celeba	celeba	PROPN
fcis-15227	153	2	dataset	dataset	VERB
fcis-15227	153	3	experiments	experiment	NOUN
fcis-15227	153	4	and	and	CCONJ
fcis-15227	153	5	related	related	ADJ
fcis-15227	153	6	research	research	NOUN
fcis-15227	153	7	.	.	PUNCT
fcis-15227	154	1	the	the	DET
fcis-15227	154	2	machine	machine	NOUN
fcis-15227	154	3	platform	platform	NOUN
fcis-15227	154	4	configuration	configuration	NOUN
fcis-15227	154	5	is	be	AUX
fcis-15227	154	6	as	as	SCONJ
fcis-15227	154	7	follows	follow	VERB
fcis-15227	154	8	.	.	PUNCT
fcis-15227	155	1	the	the	DET
fcis-15227	155	2	deep	deep	ADJ
fcis-15227	155	3	learning	learning	NOUN
fcis-15227	155	4	framework	framework	NOUN
fcis-15227	155	5	is	be	AUX
fcis-15227	155	6	pytorch	pytorch	NOUN
fcis-15227	155	7	3.8	3.8	NUM
fcis-15227	155	8	,	,	PUNCT
fcis-15227	155	9	python	python	NOUN
fcis-15227	155	10	version	version	NOUN
fcis-15227	155	11	3.7.6	3.7.6	NUM
fcis-15227	155	12	,	,	PUNCT
fcis-15227	155	13	cpu	cpu	NOUN
fcis-15227	155	14	is	be	AUX
fcis-15227	155	15	amd	amd	ADJ
fcis-15227	155	16	5600xgpu	5600xgpu	PROPN
fcis-15227	155	17	is	be	AUX
fcis-15227	155	18	nvidia	nvidia	PROPN
fcis-15227	155	19	gtx3070ti	gtx3070ti	PROPN
fcis-15227	155	20	,	,	PUNCT
fcis-15227	155	21	video	video	NOUN
fcis-15227	155	22	memory	memory	NOUN
fcis-15227	155	23	is	be	AUX
fcis-15227	155	24	16	16	NUM
fcis-15227	155	25	gb	gb	NOUN
fcis-15227	155	26	,	,	PUNCT
fcis-15227	155	27	and	and	CCONJ
fcis-15227	155	28	the	the	DET
fcis-15227	155	29	operating	operating	NOUN
fcis-15227	155	30	system	system	NOUN
fcis-15227	155	31	is	be	AUX
fcis-15227	155	32	windows11	windows11	NOUN
fcis-15227	155	33	platform	platform	NOUN
fcis-15227	155	34	.	.	PUNCT
fcis-15227	156	1	after	after	ADP
fcis-15227	156	2	doing	do	VERB
fcis-15227	156	3	the	the	DET
fcis-15227	156	4	relevant	relevant	ADJ
fcis-15227	156	5	data	datum	NOUN
fcis-15227	156	6	set	set	VERB
fcis-15227	156	7	processing	processing	NOUN
fcis-15227	156	8	and	and	CCONJ
fcis-15227	156	9	deep	deep	ADJ
fcis-15227	156	10	learning	learn	VERB
fcis-15227	156	11	environment	environment	NOUN
fcis-15227	156	12	configuration	configuration	NOUN
fcis-15227	156	13	project	project	NOUN
fcis-15227	156	14	construction	construction	NOUN
fcis-15227	156	15	.	.	PUNCT
fcis-15227	157	1	this	this	DET
fcis-15227	157	2	experiment	experiment	NOUN
fcis-15227	157	3	consists	consist	VERB
fcis-15227	157	4	of	of	ADP
fcis-15227	157	5	three	three	NUM
fcis-15227	157	6	steps	step	NOUN
fcis-15227	157	7	in	in	ADP
fcis-15227	157	8	model	model	NOUN
fcis-15227	157	9	training	training	NOUN
fcis-15227	157	10	.	.	PUNCT
fcis-15227	158	1	the	the	DET
fcis-15227	158	2	experiment	experiment	NOUN
fcis-15227	158	3	was	be	AUX
fcis-15227	158	4	trained	train	VERB
fcis-15227	158	5	in	in	ADP
fcis-15227	158	6	three	three	NUM
fcis-15227	158	7	steps	step	NOUN
fcis-15227	158	8	.	.	PUNCT
fcis-15227	159	1	after	after	SCONJ
fcis-15227	159	2	the	the	DET
fcis-15227	159	3	training	training	NOUN
fcis-15227	159	4	began	begin	VERB
fcis-15227	159	5	,	,	PUNCT
fcis-15227	159	6	the	the	DET
fcis-15227	159	7	generated	generate	VERB
fcis-15227	159	8	network	network	NOUN
fcis-15227	159	9	was	be	AUX
fcis-15227	159	10	trained	train	VERB
fcis-15227	159	11	when	when	SCONJ
fcis-15227	159	12	the	the	DET
fcis-15227	159	13	current	current	ADJ
fcis-15227	159	14	time	time	NOUN
fcis-15227	159	15	t	t	PROPN
fcis-15227	159	16	was	be	AUX
fcis-15227	159	17	less	less	ADJ
fcis-15227	159	18	than	than	ADP
fcis-15227	159	19	tc	tc	NOUN
fcis-15227	159	20	.	.	PUNCT
fcis-15227	160	1	tc	tc	PROPN
fcis-15227	161	1	and	and	CCONJ
fcis-15227	161	2	&	&	CCONJ
fcis-15227	161	3	lt	lt	NOUN
fcis-15227	161	4	;	;	PUNCT
fcis-15227	161	5	the	the	DET
fcis-15227	161	6	dual	dual	ADJ
fcis-15227	161	7	discriminator	discriminator	NOUN
fcis-15227	161	8	network	network	NOUN
fcis-15227	161	9	is	be	AUX
fcis-15227	161	10	trained	train	VERB
fcis-15227	161	11	separately	separately	ADV
fcis-15227	161	12	at	at	ADP
fcis-15227	161	13	td	td	NOUN
fcis-15227	161	14	.	.	PUNCT
fcis-15227	162	1	when	when	SCONJ
fcis-15227	162	2	t&gt	t&gt	PROPN
fcis-15227	162	3	;	;	PUNCT
fcis-15227	162	4	for	for	ADP
fcis-15227	162	5	td+tc	td+tc	PRON
fcis-15227	162	6	,	,	PUNCT
fcis-15227	162	7	the	the	DET
fcis-15227	162	8	inpainting	inpainting	ADJ
fcis-15227	162	9	network	network	NOUN
fcis-15227	162	10	is	be	AUX
fcis-15227	162	11	trained	train	VERB
fcis-15227	162	12	jointly	jointly	ADV
fcis-15227	162	13	with	with	ADP
fcis-15227	162	14	the	the	DET
fcis-15227	162	15	discrimination	discrimination	NOUN
fcis-15227	162	16	network	network	NOUN
fcis-15227	162	17	.	.	PUNCT
fcis-15227	163	1	until	until	ADP
fcis-15227	163	2	the	the	DET
fcis-15227	163	3	end	end	NOUN
fcis-15227	163	4	of	of	ADP
fcis-15227	163	5	the	the	DET
fcis-15227	163	6	round	round	NOUN
fcis-15227	163	7	.	.	PUNCT
fcis-15227	164	1	the	the	DET
fcis-15227	164	2	sgd	sgd	PROPN
fcis-15227	164	3	optimization	optimization	NOUN
fcis-15227	164	4	algorithm	algorithm	NOUN
fcis-15227	164	5	is	be	AUX
fcis-15227	164	6	used	use	VERB
fcis-15227	164	7	to	to	PART
fcis-15227	164	8	optimize	optimize	VERB
fcis-15227	164	9	the	the	DET
fcis-15227	164	10	model	model	NOUN
fcis-15227	164	11	.	.	PUNCT
fcis-15227	165	1	the	the	DET
fcis-15227	165	2	learning	learning	NOUN
fcis-15227	165	3	rate	rate	NOUN
fcis-15227	165	4	is	be	AUX
fcis-15227	165	5	empirically	empirically	ADV
fcis-15227	165	6	set	set	VERB
fcis-15227	165	7	to	to	ADP
fcis-15227	165	8	0.001	0.001	NUM
fcis-15227	165	9	.	.	PUNCT
fcis-15227	166	1	4.2	4.2	NUM
fcis-15227	166	2	.	.	PUNCT
fcis-15227	167	1	qualitative	qualitative	ADJ
fcis-15227	167	2	comparison	comparison	NOUN
fcis-15227	167	3	qualitative	qualitative	NOUN
fcis-15227	167	4	analysis	analysis	NOUN
fcis-15227	167	5	refers	refer	VERB
fcis-15227	167	6	to	to	ADP
fcis-15227	167	7	the	the	DET
fcis-15227	167	8	subjective	subjective	ADJ
fcis-15227	167	9	evaluation	evaluation	NOUN
fcis-15227	167	10	and	and	CCONJ
fcis-15227	167	11	analysis	analysis	NOUN
fcis-15227	167	12	of	of	ADP
fcis-15227	167	13	the	the	DET
fcis-15227	167	14	image	image	NOUN
fcis-15227	167	15	,	,	PUNCT
fcis-15227	167	16	the	the	DET
fcis-15227	167	17	purpose	purpose	NOUN
fcis-15227	167	18	is	be	AUX
fcis-15227	167	19	to	to	PART
fcis-15227	167	20	judge	judge	VERB
fcis-15227	167	21	whether	whether	SCONJ
fcis-15227	167	22	the	the	DET
fcis-15227	167	23	quality	quality	NOUN
fcis-15227	167	24	of	of	ADP
fcis-15227	167	25	the	the	DET
fcis-15227	167	26	inpainted	inpainte	VERB
fcis-15227	167	27	image	image	NOUN
fcis-15227	167	28	is	be	AUX
fcis-15227	167	29	in	in	ADP
fcis-15227	167	30	line	line	NOUN
fcis-15227	167	31	with	with	ADP
fcis-15227	167	32	the	the	DET
fcis-15227	167	33	requirements	requirement	NOUN
fcis-15227	167	34	,	,	PUNCT
fcis-15227	167	35	100	100	NUM
fcis-15227	167	36	and	and	CCONJ
fcis-15227	167	37	whether	whether	SCONJ
fcis-15227	167	38	the	the	DET
fcis-15227	167	39	goal	goal	NOUN
fcis-15227	167	40	of	of	ADP
fcis-15227	167	41	restoration	restoration	NOUN
fcis-15227	167	42	is	be	AUX
fcis-15227	167	43	achieved	achieve	VERB
fcis-15227	167	44	.	.	PUNCT
fcis-15227	168	1	in	in	ADP
fcis-15227	168	2	qualitative	qualitative	ADJ
fcis-15227	168	3	analysis	analysis	NOUN
fcis-15227	168	4	,	,	PUNCT
fcis-15227	168	5	people	people	NOUN
fcis-15227	168	6	usually	usually	ADV
fcis-15227	168	7	evaluate	evaluate	VERB
fcis-15227	168	8	the	the	DET
fcis-15227	168	9	restored	restore	VERB
fcis-15227	168	10	image	image	NOUN
fcis-15227	168	11	based	base	VERB
fcis-15227	168	12	on	on	ADP
fcis-15227	168	13	their	their	PRON
fcis-15227	168	14	own	own	ADJ
fcis-15227	168	15	experience	experience	NOUN
fcis-15227	168	16	and	and	CCONJ
fcis-15227	168	17	subjective	subjective	ADJ
fcis-15227	168	18	feelings	feeling	NOUN
fcis-15227	168	19	.	.	PUNCT
fcis-15227	169	1	for	for	ADP
fcis-15227	169	2	example	example	NOUN
fcis-15227	169	3	,	,	PUNCT
fcis-15227	169	4	the	the	DET
fcis-15227	169	5	improvement	improvement	NOUN
fcis-15227	169	6	in	in	ADP
fcis-15227	169	7	clarity	clarity	NOUN
fcis-15227	169	8	,	,	PUNCT
fcis-15227	169	9	contrast	contrast	NOUN
fcis-15227	169	10	,	,	PUNCT
fcis-15227	169	11	and	and	CCONJ
fcis-15227	169	12	color	color	NOUN
fcis-15227	169	13	accuracy	accuracy	NOUN
fcis-15227	169	14	of	of	ADP
fcis-15227	169	15	the	the	DET
fcis-15227	169	16	image	image	NOUN
fcis-15227	169	17	is	be	AUX
fcis-15227	169	18	evaluated	evaluate	VERB
fcis-15227	169	19	to	to	PART
fcis-15227	169	20	judge	judge	VERB
fcis-15227	169	21	whether	whether	SCONJ
fcis-15227	169	22	the	the	DET
fcis-15227	169	23	inpainting	inpainting	NOUN
fcis-15227	169	24	is	be	AUX
fcis-15227	169	25	successful	successful	ADJ
fcis-15227	169	26	.	.	PUNCT
fcis-15227	170	1	mask	mask	VERB
fcis-15227	170	2	true	true	ADJ
fcis-15227	170	3	image	image	NOUN
fcis-15227	170	4	c	c	NOUN
fcis-15227	170	5	-	-	PUNCT
fcis-15227	170	6	e	e	NOUN
fcis-15227	170	7	glcic	glcic	NOUN
fcis-15227	170	8	pconv	pconv	NOUN
fcis-15227	170	9	ours	ours	PRON
fcis-15227	170	10	figure	figure	NOUN
fcis-15227	170	11	5	5	NUM
fcis-15227	170	12	.	.	PUNCT
fcis-15227	170	13	comparison	comparison	NOUN
fcis-15227	170	14	of	of	ADP
fcis-15227	170	15	repair	repair	NOUN
fcis-15227	170	16	effect	effect	NOUN
fcis-15227	170	17	according	accord	VERB
fcis-15227	170	18	to	to	ADP
fcis-15227	170	19	the	the	DET
fcis-15227	170	20	observation	observation	NOUN
fcis-15227	170	21	of	of	ADP
fcis-15227	170	22	fig.5	fig.5	PROPN
fcis-15227	170	23	,	,	PUNCT
fcis-15227	170	24	after	after	ADP
fcis-15227	170	25	adding	add	VERB
fcis-15227	170	26	the	the	DET
fcis-15227	170	27	mask	mask	NOUN
fcis-15227	170	28	to	to	ADP
fcis-15227	170	29	the	the	DET
fcis-15227	170	30	original	original	ADJ
fcis-15227	170	31	image	image	NOUN
fcis-15227	170	32	,	,	PUNCT
fcis-15227	170	33	it	it	PRON
fcis-15227	170	34	is	be	AUX
fcis-15227	170	35	also	also	ADV
fcis-15227	170	36	repaired	repair	VERB
fcis-15227	170	37	.	.	PUNCT
fcis-15227	171	1	compared	compare	VERB
fcis-15227	171	2	with	with	ADP
fcis-15227	171	3	the	the	DET
fcis-15227	171	4	repaired	repair	VERB
fcis-15227	171	5	images	image	NOUN
fcis-15227	171	6	of	of	ADP
fcis-15227	171	7	other	other	ADJ
fcis-15227	171	8	models	model	NOUN
fcis-15227	171	9	,	,	PUNCT
fcis-15227	171	10	the	the	DET
fcis-15227	171	11	model	model	NOUN
fcis-15227	171	12	proposed	propose	VERB
fcis-15227	171	13	in	in	ADP
fcis-15227	171	14	this	this	DET
fcis-15227	171	15	paper	paper	NOUN
fcis-15227	171	16	is	be	AUX
fcis-15227	171	17	better	well	ADJ
fcis-15227	171	18	than	than	ADP
fcis-15227	171	19	the	the	DET
fcis-15227	171	20	other	other	ADJ
fcis-15227	171	21	image	image	NOUN
fcis-15227	171	22	inpainting	inpainte	VERB
fcis-15227	171	23	models	model	NOUN
fcis-15227	171	24	in	in	ADP
fcis-15227	171	25	terms	term	NOUN
fcis-15227	171	26	of	of	ADP
fcis-15227	171	27	the	the	DET
fcis-15227	171	28	reduction	reduction	NOUN
fcis-15227	171	29	of	of	ADP
fcis-15227	171	30	facial	facial	ADJ
fcis-15227	171	31	features	feature	NOUN
fcis-15227	171	32	and	and	CCONJ
fcis-15227	171	33	edge	edge	VERB
fcis-15227	171	34	excess	excess	NOUN
fcis-15227	171	35	.	.	PUNCT
fcis-15227	172	1	the	the	DET
fcis-15227	172	2	proposed	propose	VERB
fcis-15227	172	3	model	model	NOUN
fcis-15227	172	4	achieves	achieve	VERB
fcis-15227	172	5	good	good	ADJ
fcis-15227	172	6	performance	performance	NOUN
fcis-15227	172	7	in	in	ADP
fcis-15227	172	8	qualitative	qualitative	ADJ
fcis-15227	172	9	comparison	comparison	NOUN
fcis-15227	172	10	.	.	PUNCT
fcis-15227	173	1	4.3	4.3	NUM
fcis-15227	173	2	.	.	PUNCT
fcis-15227	174	1	quantitative	quantitative	ADJ
fcis-15227	174	2	comparison	comparison	NOUN
fcis-15227	174	3	in	in	ADP
fcis-15227	174	4	order	order	NOUN
fcis-15227	174	5	to	to	PART
fcis-15227	174	6	accurately	accurately	ADV
fcis-15227	174	7	evaluate	evaluate	VERB
fcis-15227	174	8	the	the	DET
fcis-15227	174	9	inpainting	inpainting	ADJ
fcis-15227	174	10	quality	quality	NOUN
fcis-15227	174	11	of	of	ADP
fcis-15227	174	12	image	image	NOUN
fcis-15227	174	13	inpainting	inpainte	VERB
fcis-15227	174	14	model	model	NOUN
fcis-15227	174	15	.	.	PUNCT
fcis-15227	175	1	in	in	ADP
fcis-15227	175	2	this	this	DET
fcis-15227	175	3	paper	paper	NOUN
fcis-15227	175	4	two	two	NUM
fcis-15227	175	5	evaluation	evaluation	NOUN
fcis-15227	175	6	metrics	metric	NOUN
fcis-15227	175	7	,	,	PUNCT
fcis-15227	175	8	peak	peak	NOUN
fcis-15227	175	9	signal	signal	NOUN
fcis-15227	175	10	-	-	PUNCT
fcis-15227	175	11	to	to	ADP
fcis-15227	175	12	-	-	PUNCT
fcis-15227	175	13	noise	noise	NOUN
fcis-15227	175	14	ratio	ratio	NOUN
fcis-15227	175	15	(	(	PUNCT
fcis-15227	175	16	psnr	psnr	NOUN
fcis-15227	175	17	)	)	PUNCT
fcis-15227	175	18	and	and	CCONJ
fcis-15227	175	19	structural	structural	ADJ
fcis-15227	175	20	similarity	similarity	NOUN
fcis-15227	175	21	(	(	PUNCT
fcis-15227	175	22	ssim	ssim	NOUN
fcis-15227	175	23	)	)	PUNCT
fcis-15227	175	24	are	be	AUX
fcis-15227	175	25	used	use	VERB
fcis-15227	175	26	.	.	PUNCT
fcis-15227	176	1	by	by	ADP
fcis-15227	176	2	comparing	compare	VERB
fcis-15227	176	3	two	two	NUM
fcis-15227	176	4	different	different	ADJ
fcis-15227	176	5	image	image	NOUN
fcis-15227	176	6	inpainting	inpainte	VERB
fcis-15227	176	7	evaluation	evaluation	NOUN
fcis-15227	176	8	criteria	criterion	NOUN
fcis-15227	176	9	in	in	ADP
fcis-15227	176	10	the	the	DET
fcis-15227	176	11	comparison	comparison	NOUN
fcis-15227	176	12	of	of	ADP
fcis-15227	176	13	objective	objective	ADJ
fcis-15227	176	14	evaluation	evaluation	NOUN
fcis-15227	176	15	criteria	criterion	NOUN
fcis-15227	176	16	.	.	PUNCT
fcis-15227	177	1	and	and	CCONJ
fcis-15227	177	2	the	the	DET
fcis-15227	177	3	repair	repair	NOUN
fcis-15227	177	4	ability	ability	NOUN
fcis-15227	177	5	of	of	ADP
fcis-15227	177	6	different	different	ADJ
fcis-15227	177	7	network	network	NOUN
fcis-15227	177	8	models	model	NOUN
fcis-15227	177	9	is	be	AUX
fcis-15227	177	10	compared	compare	VERB
fcis-15227	177	11	on	on	ADP
fcis-15227	177	12	the	the	DET
fcis-15227	177	13	mask	mask	NOUN
fcis-15227	177	14	of	of	ADP
fcis-15227	177	15	size	size	NOUN
fcis-15227	177	16	.	.	PUNCT
fcis-15227	178	1	the	the	DET
fcis-15227	178	2	selected	select	VERB
fcis-15227	178	3	reference	reference	NOUN
fcis-15227	178	4	model	model	NOUN
fcis-15227	178	5	is	be	AUX
fcis-15227	178	6	a	a	DET
fcis-15227	178	7	classic	classic	ADJ
fcis-15227	178	8	excellent	excellent	ADJ
fcis-15227	178	9	model	model	NOUN
fcis-15227	178	10	in	in	ADP
fcis-15227	178	11	the	the	DET
fcis-15227	178	12	field	field	NOUN
fcis-15227	178	13	of	of	ADP
fcis-15227	178	14	image	image	NOUN
fcis-15227	178	15	inpainting	inpainte	VERB
fcis-15227	178	16	.	.	PUNCT
fcis-15227	179	1	the	the	DET
fcis-15227	179	2	quantitative	quantitative	ADJ
fcis-15227	179	3	evaluation	evaluation	NOUN
fcis-15227	179	4	results	result	NOUN
fcis-15227	179	5	are	be	AUX
fcis-15227	179	6	shown	show	VERB
fcis-15227	179	7	in	in	ADP
fcis-15227	179	8	the	the	DET
fcis-15227	179	9	table1	table1	PROPN
fcis-15227	179	10	.	.	PUNCT
fcis-15227	180	1	the	the	DET
fcis-15227	180	2	table	table	NOUN
fcis-15227	180	3	shows	show	VERB
fcis-15227	180	4	that	that	SCONJ
fcis-15227	180	5	the	the	DET
fcis-15227	180	6	proposed	propose	VERB
fcis-15227	180	7	model	model	NOUN
fcis-15227	180	8	outperforms	outperform	VERB
fcis-15227	180	9	the	the	DET
fcis-15227	180	10	previous	previous	ADJ
fcis-15227	180	11	models	model	NOUN
fcis-15227	180	12	in	in	ADP
fcis-15227	180	13	terms	term	NOUN
fcis-15227	180	14	of	of	ADP
fcis-15227	180	15	peak	peak	NOUN
fcis-15227	180	16	signal	signal	NOUN
fcis-15227	180	17	-	-	PUNCT
fcis-15227	180	18	tonoise	tonoise	NOUN
fcis-15227	180	19	ratio	ratio	NOUN
fcis-15227	180	20	and	and	CCONJ
fcis-15227	180	21	structural	structural	ADJ
fcis-15227	180	22	similarity	similarity	NOUN
fcis-15227	180	23	.	.	PUNCT
fcis-15227	181	1	table	table	NOUN
fcis-15227	181	2	4	4	NUM
fcis-15227	181	3	.	.	PUNCT
fcis-15227	181	4	three	three	NUM
fcis-15227	181	5	model	model	NOUN
fcis-15227	181	6	comparing	compare	VERB
fcis-15227	181	7	number	number	NOUN
fcis-15227	181	8	c	c	NOUN
fcis-15227	181	9	-	-	PUNCT
fcis-15227	181	10	e	e	NOUN
fcis-15227	181	11	glcic	glcic	NOUN
fcis-15227	181	12	pconv	pconv	NOUN
fcis-15227	181	13	ours	ours	PRON
fcis-15227	181	14	psnr	psnr	PROPN
fcis-15227	181	15	24.5531	24.5531	NUM
fcis-15227	181	16	27.1197	27.1197	NUM
fcis-15227	181	17	27.3876	27.3876	NUM
fcis-15227	181	18	27.9212	27.9212	NUM
fcis-15227	181	19	ssim	ssim	NOUN
fcis-15227	181	20	0.8263	0.8263	NUM
fcis-15227	181	21	0.8569	0.8569	NUM
fcis-15227	181	22	0.8657	0.8657	NUM
fcis-15227	182	1	0.8712	0.8712	NUM
fcis-15227	182	2	5	5	NUM
fcis-15227	182	3	.	.	PUNCT
fcis-15227	182	4	conclusion	conclusion	NOUN
fcis-15227	182	5	in	in	ADP
fcis-15227	182	6	this	this	DET
fcis-15227	182	7	paper	paper	NOUN
fcis-15227	182	8	,	,	PUNCT
fcis-15227	182	9	we	we	PRON
fcis-15227	182	10	propose	propose	VERB
fcis-15227	182	11	an	an	DET
fcis-15227	182	12	image	image	NOUN
fcis-15227	182	13	inpainting	inpainte	VERB
fcis-15227	182	14	model	model	NOUN
fcis-15227	182	15	based	base	VERB
fcis-15227	182	16	on	on	ADP
fcis-15227	182	17	gated	gate	VERB
fcis-15227	182	18	convolution	convolution	NOUN
fcis-15227	182	19	and	and	CCONJ
fcis-15227	182	20	spectral	spectral	ADJ
fcis-15227	182	21	normalization	normalization	NOUN
fcis-15227	182	22	.	.	PUNCT
fcis-15227	183	1	firstly	firstly	ADV
fcis-15227	183	2	,	,	PUNCT
fcis-15227	183	3	the	the	DET
fcis-15227	183	4	whole	whole	ADJ
fcis-15227	183	5	image	image	NOUN
fcis-15227	183	6	inpainting	inpainte	VERB
fcis-15227	183	7	model	model	NOUN
fcis-15227	183	8	is	be	AUX
fcis-15227	183	9	divided	divide	VERB
fcis-15227	183	10	into	into	ADP
fcis-15227	183	11	an	an	DET
fcis-15227	183	12	image	image	NOUN
fcis-15227	183	13	inpainting	inpainte	VERB
fcis-15227	183	14	module	module	NOUN
fcis-15227	183	15	and	and	CCONJ
fcis-15227	183	16	an	an	DET
fcis-15227	183	17	image	image	NOUN
fcis-15227	183	18	discrimination	discrimination	NOUN
fcis-15227	183	19	module	module	NOUN
fcis-15227	183	20	.	.	PUNCT
fcis-15227	184	1	the	the	DET
fcis-15227	184	2	image	image	NOUN
fcis-15227	184	3	inpainting	inpainte	VERB
fcis-15227	184	4	model	model	NOUN
fcis-15227	184	5	is	be	AUX
fcis-15227	184	6	designed	design	VERB
fcis-15227	184	7	with	with	ADP
fcis-15227	184	8	the	the	DET
fcis-15227	184	9	idea	idea	NOUN
fcis-15227	184	10	of	of	ADP
fcis-15227	184	11	generative	generative	ADJ
fcis-15227	184	12	adversarial	adversarial	ADJ
fcis-15227	184	13	network	network	NOUN
fcis-15227	184	14	.	.	PUNCT
fcis-15227	185	1	the	the	DET
fcis-15227	185	2	image	image	NOUN
fcis-15227	185	3	inpainting	inpainte	VERB
fcis-15227	185	4	module	module	NOUN
fcis-15227	185	5	uses	use	VERB
fcis-15227	185	6	an	an	DET
fcis-15227	185	7	encoder	encoder	NOUN
fcis-15227	185	8	-	-	PUNCT
fcis-15227	185	9	decoder	decoder	NOUN
fcis-15227	185	10	structure	structure	NOUN
fcis-15227	185	11	.	.	PUNCT
fcis-15227	186	1	traditional	traditional	ADJ
fcis-15227	186	2	convolution	convolution	NOUN
fcis-15227	186	3	is	be	AUX
fcis-15227	186	4	not	not	PART
fcis-15227	186	5	targeted	target	VERB
fcis-15227	186	6	in	in	ADP
fcis-15227	186	7	feature	feature	NOUN
fcis-15227	186	8	extraction	extraction	NOUN
fcis-15227	186	9	,	,	PUNCT
fcis-15227	186	10	so	so	SCONJ
fcis-15227	186	11	we	we	PRON
fcis-15227	186	12	introduce	introduce	VERB
fcis-15227	186	13	a	a	DET
fcis-15227	186	14	gating	gate	VERB
fcis-15227	186	15	mechanism	mechanism	NOUN
fcis-15227	186	16	in	in	ADP
fcis-15227	186	17	the	the	DET
fcis-15227	186	18	sampling	sampling	NOUN
fcis-15227	186	19	layer	layer	NOUN
fcis-15227	186	20	in	in	ADP
fcis-15227	186	21	the	the	DET
fcis-15227	186	22	image	image	NOUN
fcis-15227	186	23	inpainting	inpainte	VERB
fcis-15227	186	24	module	module	NOUN
fcis-15227	186	25	.	.	PUNCT
fcis-15227	187	1	through	through	ADP
fcis-15227	187	2	the	the	DET
fcis-15227	187	3	characteristics	characteristic	NOUN
fcis-15227	187	4	of	of	ADP
fcis-15227	187	5	gated	gated	ADJ
fcis-15227	187	6	convolution	convolution	NOUN
fcis-15227	187	7	,	,	PUNCT
fcis-15227	187	8	the	the	DET
fcis-15227	187	9	effective	effective	ADJ
fcis-15227	187	10	information	information	NOUN
fcis-15227	187	11	of	of	ADP
fcis-15227	187	12	the	the	DET
fcis-15227	187	13	damaged	damage	VERB
fcis-15227	187	14	image	image	NOUN
fcis-15227	187	15	can	can	AUX
fcis-15227	187	16	be	be	AUX
fcis-15227	187	17	extracted	extract	VERB
fcis-15227	187	18	in	in	ADP
fcis-15227	187	19	a	a	DET
fcis-15227	187	20	targeted	target	VERB
fcis-15227	187	21	way	way	NOUN
fcis-15227	187	22	.	.	PUNCT
fcis-15227	188	1	at	at	ADP
fcis-15227	188	2	the	the	DET
fcis-15227	188	3	same	same	ADJ
fcis-15227	188	4	time	time	NOUN
fcis-15227	188	5	,	,	PUNCT
fcis-15227	188	6	the	the	DET
fcis-15227	188	7	skip	skip	ADJ
fcis-15227	188	8	connection	connection	NOUN
fcis-15227	188	9	mechanism	mechanism	NOUN
fcis-15227	188	10	is	be	AUX
fcis-15227	188	11	introduced	introduce	VERB
fcis-15227	188	12	.	.	PUNCT
fcis-15227	189	1	connect	connect	VERB
fcis-15227	189	2	the	the	DET
fcis-15227	189	3	encoder	encoder	NOUN
fcis-15227	189	4	with	with	ADP
fcis-15227	189	5	the	the	DET
fcis-15227	189	6	layers	layer	NOUN
fcis-15227	189	7	of	of	ADP
fcis-15227	189	8	the	the	DET
fcis-15227	189	9	corresponding	corresponding	ADJ
fcis-15227	189	10	size	size	NOUN
fcis-15227	189	11	of	of	ADP
fcis-15227	189	12	the	the	DET
fcis-15227	189	13	decoder	decoder	NOUN
fcis-15227	189	14	.	.	PUNCT
fcis-15227	190	1	after	after	SCONJ
fcis-15227	190	2	the	the	DET
fcis-15227	190	3	image	image	NOUN
fcis-15227	190	4	inpainting	inpainte	VERB
fcis-15227	190	5	module	module	NOUN
fcis-15227	190	6	initially	initially	ADV
fcis-15227	190	7	inpainted	inpainte	VERB
fcis-15227	190	8	,	,	PUNCT
fcis-15227	190	9	the	the	DET
fcis-15227	190	10	dual	dual	ADJ
fcis-15227	190	11	discriminator	discriminator	NOUN
fcis-15227	190	12	module	module	NOUN
fcis-15227	190	13	introducing	introduce	VERB
fcis-15227	190	14	spectral	spectral	ADJ
fcis-15227	190	15	normalization	normalization	NOUN
fcis-15227	190	16	was	be	AUX
fcis-15227	190	17	used	use	VERB
fcis-15227	190	18	to	to	PART
fcis-15227	190	19	identify	identify	VERB
fcis-15227	190	20	the	the	DET
fcis-15227	190	21	true	true	ADJ
fcis-15227	190	22	and	and	CCONJ
fcis-15227	190	23	false	false	ADJ
fcis-15227	190	24	image	image	NOUN
fcis-15227	190	25	inpainting	inpainting	NOUN
fcis-15227	190	26	.	.	PUNCT
fcis-15227	191	1	the	the	DET
fcis-15227	191	2	joint	joint	ADJ
fcis-15227	191	3	function	function	NOUN
fcis-15227	191	4	is	be	AUX
fcis-15227	191	5	used	use	VERB
fcis-15227	191	6	to	to	PART
fcis-15227	191	7	train	train	VERB
fcis-15227	191	8	the	the	DET
fcis-15227	191	9	whole	whole	ADJ
fcis-15227	191	10	model	model	NOUN
fcis-15227	191	11	in	in	ADP
fcis-15227	191	12	three	three	NUM
fcis-15227	191	13	steps	step	NOUN
fcis-15227	191	14	,	,	PUNCT
fcis-15227	191	15	so	so	SCONJ
fcis-15227	191	16	that	that	SCONJ
fcis-15227	191	17	the	the	DET
fcis-15227	191	18	image	image	NOUN
fcis-15227	191	19	inpainting	inpainte	VERB
fcis-15227	191	20	quality	quality	NOUN
fcis-15227	191	21	effect	effect	NOUN
fcis-15227	191	22	is	be	AUX
fcis-15227	191	23	more	more	ADJ
fcis-15227	191	24	in	in	ADP
fcis-15227	191	25	line	line	NOUN
fcis-15227	191	26	with	with	ADP
fcis-15227	191	27	subjective	subjective	ADJ
fcis-15227	191	28	feelings	feeling	NOUN
fcis-15227	191	29	.	.	PUNCT
fcis-15227	192	1	experimental	experimental	ADJ
fcis-15227	192	2	results	result	NOUN
fcis-15227	192	3	show	show	VERB
fcis-15227	192	4	that	that	SCONJ
fcis-15227	192	5	the	the	DET
fcis-15227	192	6	proposed	propose	VERB
fcis-15227	192	7	model	model	NOUN
fcis-15227	192	8	has	have	AUX
fcis-15227	192	9	better	well	ADV
fcis-15227	192	10	inpainting	inpainting	ADJ
fcis-15227	192	11	effects	effect	NOUN
fcis-15227	192	12	in	in	ADP
fcis-15227	192	13	terms	term	NOUN
fcis-15227	192	14	of	of	ADP
fcis-15227	192	15	semantic	semantic	ADJ
fcis-15227	192	16	structure	structure	NOUN
fcis-15227	192	17	and	and	CCONJ
fcis-15227	192	18	texture	texture	ADJ
fcis-15227	192	19	details	detail	NOUN
fcis-15227	192	20	,	,	PUNCT
fcis-15227	192	21	and	and	CCONJ
fcis-15227	192	22	the	the	DET
fcis-15227	192	23	qualitative	qualitative	ADJ
fcis-15227	192	24	and	and	CCONJ
fcis-15227	192	25	quantitative	quantitative	ADJ
fcis-15227	192	26	analysis	analysis	NOUN
fcis-15227	192	27	results	result	NOUN
fcis-15227	192	28	are	be	AUX
fcis-15227	192	29	better	well	ADJ
fcis-15227	192	30	than	than	ADP
fcis-15227	192	31	the	the	DET
fcis-15227	192	32	comparison	comparison	NOUN
fcis-15227	192	33	models	model	NOUN
fcis-15227	192	34	.	.	PUNCT
fcis-15227	193	1	the	the	DET
fcis-15227	193	2	proposed	propose	VERB
fcis-15227	193	3	model	model	NOUN
fcis-15227	193	4	mainly	mainly	ADV
fcis-15227	193	5	inpaints	inpaint	VERB
fcis-15227	193	6	large	large	ADJ
fcis-15227	193	7	rectangular	rectangular	ADJ
fcis-15227	193	8	center	center	NOUN
fcis-15227	193	9	masks	mask	NOUN
fcis-15227	193	10	,	,	PUNCT
fcis-15227	193	11	and	and	CCONJ
fcis-15227	193	12	achieves	achieve	VERB
fcis-15227	193	13	good	good	ADJ
fcis-15227	193	14	experimental	experimental	ADJ
fcis-15227	193	15	results	result	NOUN
fcis-15227	193	16	.	.	PUNCT
fcis-15227	194	1	the	the	DET
fcis-15227	194	2	improved	improve	VERB
fcis-15227	194	3	algorithm	algorithm	NOUN
fcis-15227	194	4	further	far	ADV
fcis-15227	194	5	improves	improve	VERB
fcis-15227	194	6	the	the	DET
fcis-15227	194	7	realism	realism	NOUN
fcis-15227	194	8	of	of	ADP
fcis-15227	194	9	image	image	NOUN
fcis-15227	194	10	inpainting	inpainting	NOUN
fcis-15227	194	11	,	,	PUNCT
fcis-15227	194	12	and	and	CCONJ
fcis-15227	194	13	improves	improve	VERB
fcis-15227	194	14	the	the	DET
fcis-15227	194	15	stability	stability	NOUN
fcis-15227	194	16	of	of	ADP
fcis-15227	194	17	model	model	NOUN
fcis-15227	194	18	training	training	NOUN
fcis-15227	194	19	to	to	ADP
fcis-15227	194	20	a	a	DET
fcis-15227	194	21	certain	certain	ADJ
fcis-15227	194	22	extent	extent	NOUN
fcis-15227	194	23	.	.	PUNCT
fcis-15227	195	1	the	the	DET
fcis-15227	195	2	next	next	ADJ
fcis-15227	195	3	direction	direction	NOUN
fcis-15227	195	4	is	be	AUX
fcis-15227	195	5	to	to	PART
fcis-15227	195	6	explore	explore	VERB
fcis-15227	195	7	the	the	DET
fcis-15227	195	8	applicability	applicability	NOUN
fcis-15227	195	9	of	of	ADP
fcis-15227	195	10	this	this	DET
fcis-15227	195	11	model	model	NOUN
fcis-15227	195	12	in	in	ADP
fcis-15227	195	13	other	other	ADJ
fcis-15227	195	14	application	application	NOUN
fcis-15227	195	15	scenarios	scenario	NOUN
fcis-15227	195	16	,	,	PUNCT
fcis-15227	195	17	such	such	ADJ
fcis-15227	195	18	as	as	ADP
fcis-15227	195	19	medical	medical	ADJ
fcis-15227	195	20	imaging	imaging	NOUN
fcis-15227	195	21	street	street	PROPN
fcis-15227	195	22	view	view	NOUN
fcis-15227	195	23	restoration	restoration	NOUN
fcis-15227	195	24	,	,	PUNCT
fcis-15227	195	25	etc	etc	X
fcis-15227	195	26	.	.	X
fcis-15227	195	27	in	in	ADP
fcis-15227	195	28	the	the	DET
fcis-15227	195	29	future	future	NOUN
fcis-15227	195	30	the	the	DET
fcis-15227	195	31	image	image	NOUN
fcis-15227	195	32	inpainting	inpainte	VERB
fcis-15227	195	33	model	model	NOUN
fcis-15227	195	34	will	will	AUX
fcis-15227	195	35	be	be	AUX
fcis-15227	195	36	applied	apply	VERB
fcis-15227	195	37	to	to	ADP
fcis-15227	195	38	real	real	ADJ
fcis-15227	195	39	life	life	NOUN
fcis-15227	195	40	,	,	PUNCT
fcis-15227	195	41	including	include	VERB
fcis-15227	195	42	large	large	ADJ
fcis-15227	195	43	area	area	NOUN
fcis-15227	195	44	face	face	NOUN
fcis-15227	195	45	inpainting	inpainte	VERB
fcis-15227	195	46	and	and	CCONJ
fcis-15227	195	47	real	real	ADV
fcis-15227	195	48	damaged	damage	VERB
fcis-15227	195	49	image	image	NOUN
fcis-15227	195	50	inpainting	inpainte	VERB
fcis-15227	195	51	.	.	PUNCT
fcis-15227	196	1	references	reference	NOUN
fcis-15227	196	2	[	[	X
fcis-15227	196	3	1	1	NUM
fcis-15227	196	4	]	]	X
fcis-15227	196	5	iizuka	iizuka	PROPN
fcis-15227	196	6	,	,	PUNCT
fcis-15227	196	7	satoshi	satoshi	PROPN
fcis-15227	196	8	,	,	PUNCT
fcis-15227	196	9	edgar	edgar	PROPN
fcis-15227	196	10	simo	simo	PROPN
fcis-15227	196	11	-	-	PUNCT
fcis-15227	196	12	serra	serra	PROPN
fcis-15227	196	13	,	,	PUNCT
fcis-15227	196	14	and	and	CCONJ
fcis-15227	196	15	hiroshi	hiroshi	PROPN
fcis-15227	196	16	ishikawa	ishikawa	PROPN
fcis-15227	196	17	.	.	PUNCT
fcis-15227	197	1	"	"	PUNCT
fcis-15227	197	2	globally	globally	ADV
fcis-15227	197	3	and	and	CCONJ
fcis-15227	197	4	locally	locally	ADV
fcis-15227	197	5	consistent	consistent	ADJ
fcis-15227	197	6	image	image	NOUN
fcis-15227	197	7	completion	completion	NOUN
fcis-15227	197	8	.	.	PUNCT
fcis-15227	197	9	"	"	PUNCT
fcis-15227	198	1	acm	acm	PROPN
fcis-15227	198	2	transactions	transaction	NOUN
fcis-15227	198	3	on	on	ADP
fcis-15227	198	4	graphics	graphic	NOUN
fcis-15227	198	5	(	(	PUNCT
fcis-15227	198	6	tog	tog	NOUN
fcis-15227	198	7	)	)	PUNCT
fcis-15227	198	8	36.4	36.4	NUM
fcis-15227	198	9	(	(	PUNCT
fcis-15227	198	10	2017	2017	NUM
fcis-15227	198	11	):	):	PUNCT
fcis-15227	198	12	1	1	NUM
fcis-15227	198	13	-	-	SYM
fcis-15227	198	14	14.w.-k	14.w.-k	NUM
fcis-15227	198	15	.	.	PUNCT
fcis-15227	199	1	chen	chen	PROPN
fcis-15227	199	2	,	,	PUNCT
fcis-15227	199	3	linear	linear	PROPN
fcis-15227	199	4	networks	network	NOUN
fcis-15227	199	5	and	and	CCONJ
fcis-15227	199	6	systems	system	NOUN
fcis-15227	199	7	(	(	PUNCT
fcis-15227	199	8	book	book	NOUN
fcis-15227	199	9	style	style	NOUN
fcis-15227	199	10	)	)	PUNCT
fcis-15227	199	11	.	.	PUNCT
fcis-15227	200	1	belmont	belmont	PROPN
fcis-15227	200	2	,	,	PUNCT
fcis-15227	200	3	ca	can	AUX
fcis-15227	200	4	:	:	PUNCT
fcis-15227	200	5	wadsworth	wadsworth	NOUN
fcis-15227	200	6	,	,	PUNCT
fcis-15227	200	7	1993	1993	NUM
fcis-15227	200	8	,	,	PUNCT
fcis-15227	200	9	pp	pp	ADP
fcis-15227	200	10	.	.	PUNCT
fcis-15227	201	1	123–135	123–135	NUM
fcis-15227	201	2	.	.	PUNCT
fcis-15227	202	1	[	[	X
fcis-15227	202	2	2	2	NUM
fcis-15227	202	3	]	]	X
fcis-15227	202	4	zhao	zhao	PROPN
fcis-15227	202	5	,	,	PUNCT
fcis-15227	202	6	wenyi	wenyi	PROPN
fcis-15227	202	7	,	,	PUNCT
fcis-15227	202	8	et	et	PROPN
fcis-15227	202	9	al	al	PROPN
fcis-15227	202	10	.	.	PUNCT
fcis-15227	202	11	"	"	PUNCT
fcis-15227	202	12	face	face	NOUN
fcis-15227	202	13	recognition	recognition	NOUN
fcis-15227	202	14	:	:	PUNCT
fcis-15227	202	15	a	a	DET
fcis-15227	202	16	literature	literature	NOUN
fcis-15227	202	17	survey	survey	NOUN
fcis-15227	202	18	.	.	PUNCT
fcis-15227	202	19	"	"	PUNCT
fcis-15227	202	20	acm	acm	PROPN
fcis-15227	202	21	computing	computing	NOUN
fcis-15227	202	22	surveys	survey	NOUN
fcis-15227	202	23	(	(	PUNCT
fcis-15227	202	24	csur	csur	NOUN
fcis-15227	202	25	)	)	PUNCT
fcis-15227	202	26	35.4	35.4	NUM
fcis-15227	202	27	(	(	PUNCT
fcis-15227	202	28	2003	2003	NUM
fcis-15227	202	29	):	):	PUNCT
fcis-15227	202	30	399	399	NUM
fcis-15227	202	31	-	-	SYM
fcis-15227	202	32	458	458	NUM
fcis-15227	202	33	.	.	PUNCT
fcis-15227	203	1	[	[	X
fcis-15227	203	2	3	3	NUM
fcis-15227	203	3	]	]	X
fcis-15227	203	4	wang	wang	PROPN
fcis-15227	203	5	,	,	PUNCT
fcis-15227	203	6	sheng	sheng	PROPN
fcis-15227	203	7	-	-	PUNCT
fcis-15227	203	8	yu	yu	PROPN
fcis-15227	203	9	,	,	PUNCT
fcis-15227	203	10	et	et	PROPN
fcis-15227	203	11	al	al	PROPN
fcis-15227	203	12	.	.	PUNCT
fcis-15227	204	1	"	"	PUNCT
fcis-15227	204	2	cnn	cnn	PROPN
fcis-15227	204	3	-	-	PUNCT
fcis-15227	204	4	generated	generate	VERB
fcis-15227	204	5	images	image	NOUN
fcis-15227	204	6	are	be	AUX
fcis-15227	204	7	surprisingly	surprisingly	ADV
fcis-15227	204	8	easy	easy	ADJ
fcis-15227	204	9	to	to	PART
fcis-15227	204	10	spot	spot	VERB
fcis-15227	204	11	...	...	PUNCT
fcis-15227	204	12	for	for	ADP
fcis-15227	204	13	now	now	ADV
fcis-15227	204	14	.	.	PUNCT
fcis-15227	204	15	"	"	PUNCT
fcis-15227	205	1	proceedings	proceeding	NOUN
fcis-15227	205	2	of	of	ADP
fcis-15227	205	3	the	the	DET
fcis-15227	205	4	ieee/	ieee/	NUM
fcis-15227	205	5	cvf	cvf	NOUN
fcis-15227	205	6	conference	conference	NOUN
fcis-15227	205	7	on	on	ADP
fcis-15227	205	8	computer	computer	NOUN
fcis-15227	205	9	vision	vision	NOUN
fcis-15227	205	10	and	and	CCONJ
fcis-15227	205	11	pattern	pattern	NOUN
fcis-15227	205	12	recognition	recognition	NOUN
fcis-15227	205	13	.	.	PUNCT
fcis-15227	206	1	2020	2020	NUM
fcis-15227	206	2	.	.	PUNCT
fcis-15227	207	1	[	[	X
fcis-15227	207	2	4	4	NUM
fcis-15227	207	3	]	]	X
fcis-15227	207	4	liu	liu	PROPN
fcis-15227	207	5	,	,	PUNCT
fcis-15227	207	6	guilin	guilin	PROPN
fcis-15227	207	7	,	,	PUNCT
fcis-15227	207	8	et	et	PROPN
fcis-15227	207	9	al	al	PROPN
fcis-15227	207	10	.	.	PUNCT
fcis-15227	207	11	"	"	PUNCT
fcis-15227	207	12	image	image	NOUN
fcis-15227	207	13	inpainting	inpainte	VERB
fcis-15227	207	14	for	for	ADP
fcis-15227	207	15	irregular	irregular	ADJ
fcis-15227	207	16	holes	hole	NOUN
fcis-15227	207	17	using	use	VERB
fcis-15227	207	18	partial	partial	ADJ
fcis-15227	207	19	convolutions	convolution	NOUN
fcis-15227	207	20	.	.	PUNCT
fcis-15227	207	21	"	"	PUNCT
fcis-15227	208	1	proceedings	proceeding	NOUN
fcis-15227	208	2	of	of	ADP
fcis-15227	208	3	the	the	DET
fcis-15227	208	4	european	european	PROPN
fcis-15227	208	5	conference	conference	PROPN
fcis-15227	208	6	on	on	ADP
fcis-15227	208	7	computer	computer	NOUN
fcis-15227	208	8	vision	vision	NOUN
fcis-15227	208	9	(	(	PUNCT
fcis-15227	208	10	eccv	eccv	ADV
fcis-15227	208	11	)	)	PUNCT
fcis-15227	208	12	.	.	PUNCT
fcis-15227	209	1	2018	2018	NUM
fcis-15227	209	2	.	.	PUNCT
fcis-15227	210	1	[	[	X
fcis-15227	210	2	5	5	NUM
fcis-15227	210	3	]	]	X
fcis-15227	210	4	goodfellow	goodfellow	PROPN
fcis-15227	210	5	,	,	PUNCT
fcis-15227	210	6	ian	ian	PROPN
fcis-15227	210	7	,	,	PUNCT
fcis-15227	210	8	et	et	PROPN
fcis-15227	210	9	al	al	PROPN
fcis-15227	210	10	.	.	PUNCT
fcis-15227	211	1	"	"	PUNCT
fcis-15227	211	2	generative	generative	ADJ
fcis-15227	211	3	adversarial	adversarial	ADJ
fcis-15227	211	4	nets	net	NOUN
fcis-15227	211	5	.	.	PUNCT
fcis-15227	211	6	"	"	PUNCT
fcis-15227	212	1	advances	advance	NOUN
fcis-15227	212	2	in	in	ADP
fcis-15227	212	3	neural	neural	ADJ
fcis-15227	212	4	information	information	NOUN
fcis-15227	212	5	processing	processing	NOUN
fcis-15227	212	6	systems	system	NOUN
fcis-15227	212	7	27	27	NUM
fcis-15227	212	8	(	(	PUNCT
fcis-15227	212	9	2014	2014	NUM
fcis-15227	212	10	)	)	PUNCT
fcis-15227	212	11	.	.	PUNCT
fcis-15227	213	1	[	[	X
fcis-15227	213	2	6	6	NUM
fcis-15227	213	3	]	]	SYM
fcis-15227	213	4	gu	gu	PROPN
fcis-15227	213	5	,	,	PUNCT
fcis-15227	213	6	zaiwang	zaiwang	PROPN
fcis-15227	213	7	,	,	PUNCT
fcis-15227	213	8	et	et	PROPN
fcis-15227	213	9	al	al	PROPN
fcis-15227	213	10	.	.	PUNCT
fcis-15227	213	11	"	"	PUNCT
fcis-15227	213	12	ce	ce	PROPN
fcis-15227	213	13	-	-	NOUN
fcis-15227	213	14	net	net	NOUN
fcis-15227	213	15	:	:	PUNCT
fcis-15227	213	16	context	context	NOUN
fcis-15227	213	17	encoder	encoder	NOUN
fcis-15227	213	18	network	network	NOUN
fcis-15227	213	19	for	for	ADP
fcis-15227	213	20	2d	2d	NUM
fcis-15227	213	21	medical	medical	ADJ
fcis-15227	213	22	image	image	NOUN
fcis-15227	213	23	segmentation	segmentation	NOUN
fcis-15227	213	24	.	.	PUNCT
fcis-15227	213	25	"	"	PUNCT
fcis-15227	213	26	ieee	ieee	NOUN
fcis-15227	213	27	transactions	transaction	NOUN
fcis-15227	213	28	on	on	ADP
fcis-15227	213	29	medical	medical	ADJ
fcis-15227	213	30	imaging	imaging	NOUN
fcis-15227	213	31	38.10	38.10	NUM
fcis-15227	213	32	(	(	PUNCT
fcis-15227	213	33	2019	2019	NUM
fcis-15227	213	34	):	):	PUNCT
fcis-15227	213	35	2281	2281	NUM
fcis-15227	213	36	-	-	SYM
fcis-15227	213	37	2292	2292	NUM
fcis-15227	213	38	.	.	PUNCT
fcis-15227	214	1	[	[	X
fcis-15227	214	2	7	7	X
fcis-15227	214	3	]	]	X
fcis-15227	214	4	dynkin	dynkin	ADJ
fcis-15227	214	5	,	,	PUNCT
fcis-15227	214	6	evgeniĭ	evgeniĭ	ADJ
fcis-15227	214	7	borisovich	borisovich	NOUN
fcis-15227	214	8	,	,	PUNCT
fcis-15227	214	9	and	and	CCONJ
fcis-15227	214	10	evgenij	evgenij	VERB
fcis-15227	214	11	borisovič	borisovič	ADJ
fcis-15227	214	12	dynkin	dynkin	ADJ
fcis-15227	214	13	.	.	PUNCT
fcis-15227	215	1	markov	markov	NOUN
fcis-15227	215	2	processes	process	NOUN
fcis-15227	215	3	.	.	PUNCT
fcis-15227	216	1	springer	springer	PROPN
fcis-15227	216	2	berlin	berlin	PROPN
fcis-15227	216	3	heidelberg	heidelberg	PROPN
fcis-15227	216	4	,	,	PUNCT
fcis-15227	216	5	1965	1965	NUM
fcis-15227	216	6	..	..	PUNCT
fcis-15227	217	1	[	[	X
fcis-15227	217	2	8	8	NUM
fcis-15227	217	3	]	]	PUNCT
fcis-15227	217	4	sarıgül	sarıgül	NOUN
fcis-15227	217	5	,	,	PUNCT
fcis-15227	217	6	mehmet	mehmet	PROPN
fcis-15227	217	7	,	,	PUNCT
fcis-15227	217	8	buse	buse	PROPN
fcis-15227	217	9	melis	melis	PROPN
fcis-15227	217	10	ozyildirim	ozyildirim	PROPN
fcis-15227	217	11	,	,	PUNCT
fcis-15227	217	12	and	and	CCONJ
fcis-15227	217	13	mutlu	mutlu	PROPN
fcis-15227	217	14	avci	avci	PROPN
fcis-15227	217	15	.	.	PUNCT
fcis-15227	218	1	"	"	PUNCT
fcis-15227	218	2	differential	differential	VERB
fcis-15227	218	3	convolutional	convolutional	ADJ
fcis-15227	218	4	neural	neural	ADJ
fcis-15227	218	5	network	network	NOUN
fcis-15227	218	6	.	.	PUNCT
fcis-15227	218	7	"	"	PUNCT
fcis-15227	219	1	neural	neural	ADJ
fcis-15227	219	2	networks	network	NOUN
fcis-15227	219	3	116	116	NUM
fcis-15227	219	4	(	(	PUNCT
fcis-15227	219	5	2019	2019	NUM
fcis-15227	219	6	):	):	PUNCT
fcis-15227	219	7	279	279	NUM
fcis-15227	219	8	-	-	SYM
fcis-15227	219	9	287	287	NUM
fcis-15227	219	10	.	.	PUNCT
fcis-15227	220	1	[	[	X
fcis-15227	220	2	9	9	NUM
fcis-15227	220	3	]	]	SYM
fcis-15227	220	4	zhang	zhang	PROPN
fcis-15227	220	5	,	,	PUNCT
fcis-15227	220	6	yuanhan	yuanhan	PROPN
fcis-15227	220	7	,	,	PUNCT
fcis-15227	220	8	et	et	PROPN
fcis-15227	220	9	al	al	PROPN
fcis-15227	220	10	.	.	PUNCT
fcis-15227	220	11	"	"	PUNCT
fcis-15227	220	12	celeba	celeba	PROPN
fcis-15227	220	13	-	-	PUNCT
fcis-15227	220	14	spoof	spoof	ADJ
fcis-15227	220	15	:	:	PUNCT
fcis-15227	220	16	large	large	ADJ
fcis-15227	220	17	-	-	PUNCT
fcis-15227	220	18	scale	scale	NOUN
fcis-15227	220	19	face	face	NOUN
fcis-15227	220	20	antispoofing	antispoofe	VERB
fcis-15227	220	21	dataset	dataset	VERB
fcis-15227	220	22	with	with	ADP
fcis-15227	220	23	rich	rich	ADJ
fcis-15227	220	24	annotations	annotation	NOUN
fcis-15227	220	25	.	.	PUNCT
fcis-15227	220	26	"	"	PUNCT
fcis-15227	221	1	computer	computer	NOUN
fcis-15227	221	2	vision	vision	NOUN
fcis-15227	221	3	–	–	PUNCT
fcis-15227	221	4	eccv	eccv	ADV
fcis-15227	221	5	2020	2020	NUM
fcis-15227	221	6	:	:	PUNCT
fcis-15227	221	7	16th	16th	ADJ
fcis-15227	221	8	european	european	ADJ
fcis-15227	221	9	conference	conference	PROPN
fcis-15227	221	10	,	,	PUNCT
fcis-15227	221	11	glasgow	glasgow	PROPN
fcis-15227	221	12	,	,	PUNCT
fcis-15227	221	13	uk	uk	PROPN
fcis-15227	221	14	,	,	PUNCT
fcis-15227	221	15	august	august	PROPN
fcis-15227	221	16	23–28	23–28	NUM
fcis-15227	221	17	,	,	PUNCT
fcis-15227	221	18	2020	2020	NUM
fcis-15227	221	19	,	,	PUNCT
fcis-15227	221	20	proceedings	proceeding	NOUN
fcis-15227	221	21	,	,	PUNCT
fcis-15227	221	22	part	part	NOUN
fcis-15227	221	23	xii	xii	PROPN
fcis-15227	221	24	16	16	NUM
fcis-15227	221	25	.	.	PUNCT
fcis-15227	222	1	springer	springer	NOUN
fcis-15227	222	2	international	international	ADJ
fcis-15227	222	3	publishing	publishing	NOUN
fcis-15227	222	4	,	,	PUNCT
fcis-15227	222	5	2020	2020	NUM
fcis-15227	222	6	.	.	PUNCT
fcis-15227	223	1	[	[	X
fcis-15227	223	2	10	10	NUM
fcis-15227	223	3	]	]	PUNCT
fcis-15227	223	4	xu	xu	PROPN
fcis-15227	223	5	,	,	PUNCT
fcis-15227	223	6	keyulu	keyulu	ADJ
fcis-15227	223	7	,	,	PUNCT
fcis-15227	223	8	et	et	PROPN
fcis-15227	223	9	al	al	PROPN
fcis-15227	223	10	.	.	PUNCT
fcis-15227	224	1	"	"	PUNCT
fcis-15227	224	2	optimization	optimization	NOUN
fcis-15227	224	3	of	of	ADP
fcis-15227	224	4	graph	graph	NOUN
fcis-15227	224	5	neural	neural	ADJ
fcis-15227	224	6	networks	network	NOUN
fcis-15227	224	7	:	:	PUNCT
fcis-15227	224	8	implicit	implicit	ADJ
fcis-15227	224	9	acceleration	acceleration	NOUN
fcis-15227	224	10	by	by	ADP
fcis-15227	224	11	skip	skip	ADJ
fcis-15227	224	12	connections	connection	NOUN
fcis-15227	224	13	and	and	CCONJ
fcis-15227	224	14	more	more	ADJ
fcis-15227	224	15	depth	depth	NOUN
fcis-15227	224	16	.	.	PUNCT
fcis-15227	224	17	"	"	PUNCT
fcis-15227	225	1	international	international	ADJ
fcis-15227	225	2	conference	conference	NOUN
fcis-15227	225	3	on	on	ADP
fcis-15227	225	4	machine	machine	NOUN
fcis-15227	225	5	learning	learning	NOUN
fcis-15227	225	6	.	.	PUNCT
fcis-15227	226	1	pmlr	pmlr	NOUN
fcis-15227	226	2	,	,	PUNCT
fcis-15227	226	3	2021	2021	NUM
fcis-15227	226	4	.	.	PUNCT