id	sid	tid	token	lemma	pos
ajst-20221	1	1	academic	academic	ADJ
ajst-20221	1	2	journal	journal	NOUN
ajst-20221	1	3	of	of	ADP
ajst-20221	1	4	science	science	NOUN
ajst-20221	1	5	and	and	CCONJ
ajst-20221	1	6	technology	technology	NOUN
ajst-20221	1	7	issn	issn	NOUN
ajst-20221	1	8	:	:	PUNCT
ajst-20221	1	9	2771	2771	NUM
ajst-20221	1	10	-	-	SYM
ajst-20221	1	11	3032	3032	NUM
ajst-20221	1	12	|	|	NOUN
ajst-20221	1	13	vol	vol	NOUN
ajst-20221	1	14	.	.	PROPN
ajst-20221	2	1	10	10	NUM
ajst-20221	2	2	,	,	PUNCT
ajst-20221	2	3	no	no	INTJ
ajst-20221	2	4	.	.	NOUN
ajst-20221	2	5	2	2	NUM
ajst-20221	2	6	,	,	PUNCT
ajst-20221	2	7	2024	2024	NUM
ajst-20221	3	1	213	213	NUM
ajst-20221	3	2	full‐body	full‐body	NOUN
ajst-20221	3	3	texture	texture	ADJ
ajst-20221	3	4	reconstruction	reconstruction	NOUN
ajst-20221	3	5	of	of	ADP
ajst-20221	3	6	clothed	clothe	VERB
ajst-20221	3	7	human	human	ADJ
ajst-20221	3	8	body	body	NOUN
ajst-20221	3	9	zhipeng	zhipeng	PROPN
ajst-20221	3	10	ren1	ren1	PROPN
ajst-20221	3	11	,	,	PUNCT
ajst-20221	3	12	ji	ji	PROPN
ajst-20221	3	13	zhang1	zhang1	PROPN
ajst-20221	3	14	,	,	PUNCT
ajst-20221	3	15	2	2	NUM
ajst-20221	3	16	,	,	PUNCT
ajst-20221	3	17	*	*	PUNCT
ajst-20221	3	18	1	1	NUM
ajst-20221	3	19	school	school	NOUN
ajst-20221	3	20	of	of	ADP
ajst-20221	3	21	control	control	NOUN
ajst-20221	3	22	and	and	CCONJ
ajst-20221	3	23	computer	computer	NOUN
ajst-20221	3	24	engineering	engineering	NOUN
ajst-20221	3	25	,	,	PUNCT
ajst-20221	3	26	north	north	PROPN
ajst-20221	3	27	china	china	PROPN
ajst-20221	3	28	electric	electric	PROPN
ajst-20221	3	29	power	power	PROPN
ajst-20221	3	30	university	university	PROPN
ajst-20221	3	31	,	,	PUNCT
ajst-20221	3	32	baoding	baoding	PROPN
ajst-20221	3	33	071003	071003	NUM
ajst-20221	3	34	,	,	PUNCT
ajst-20221	3	35	china	china	PROPN
ajst-20221	3	36	2	2	NUM
ajst-20221	3	37	engineering	engineering	NOUN
ajst-20221	3	38	research	research	NOUN
ajst-20221	3	39	center	center	NOUN
ajst-20221	3	40	of	of	ADP
ajst-20221	3	41	intelligent	intelligent	ADJ
ajst-20221	3	42	computing	computing	NOUN
ajst-20221	3	43	for	for	ADP
ajst-20221	3	44	complex	complex	ADJ
ajst-20221	3	45	energy	energy	NOUN
ajst-20221	3	46	systems	system	NOUN
ajst-20221	3	47	,	,	PUNCT
ajst-20221	3	48	ministry	ministry	NOUN
ajst-20221	3	49	of	of	ADP
ajst-20221	3	50	education	education	PROPN
ajst-20221	3	51	,	,	PUNCT
ajst-20221	3	52	baoding071003	baoding071003	PROPN
ajst-20221	3	53	,	,	PUNCT
ajst-20221	3	54	china	china	PROPN
ajst-20221	3	55	*	*	PUNCT
ajst-20221	3	56	corresponding	correspond	VERB
ajst-20221	3	57	author	author	NOUN
ajst-20221	3	58	email	email	NOUN
ajst-20221	3	59	:	:	PUNCT
ajst-20221	3	60	72zhangji@163.com	72zhangji@163.com	NUM
ajst-20221	3	61	abstract	abstract	NOUN
ajst-20221	3	62	:	:	PUNCT
ajst-20221	3	63	in	in	ADP
ajst-20221	3	64	order	order	NOUN
ajst-20221	3	65	to	to	PART
ajst-20221	3	66	solve	solve	VERB
ajst-20221	3	67	the	the	DET
ajst-20221	3	68	distortion	distortion	NOUN
ajst-20221	3	69	problem	problem	NOUN
ajst-20221	3	70	in	in	ADP
ajst-20221	3	71	monocular	monocular	ADJ
ajst-20221	3	72	reconstruction	reconstruction	NOUN
ajst-20221	3	73	,	,	PUNCT
ajst-20221	3	74	a	a	DET
ajst-20221	3	75	new	new	ADJ
ajst-20221	3	76	solution	solution	NOUN
ajst-20221	3	77	is	be	AUX
ajst-20221	3	78	proposed	propose	VERB
ajst-20221	3	79	in	in	ADP
ajst-20221	3	80	this	this	DET
ajst-20221	3	81	paper	paper	NOUN
ajst-20221	3	82	.	.	PUNCT
ajst-20221	4	1	in	in	ADP
ajst-20221	4	2	particular	particular	ADJ
ajst-20221	4	3	,	,	PUNCT
ajst-20221	4	4	the	the	DET
ajst-20221	4	5	space	space	NOUN
ajst-20221	4	6	occupancy	occupancy	NOUN
ajst-20221	4	7	field	field	NOUN
ajst-20221	4	8	of	of	ADP
ajst-20221	4	9	the	the	DET
ajst-20221	4	10	human	human	ADJ
ajst-20221	4	11	body	body	NOUN
ajst-20221	4	12	can	can	AUX
ajst-20221	4	13	be	be	AUX
ajst-20221	4	14	obtained	obtain	VERB
ajst-20221	4	15	by	by	ADP
ajst-20221	4	16	combining	combine	VERB
ajst-20221	4	17	normal	normal	ADJ
ajst-20221	4	18	maps	map	NOUN
ajst-20221	4	19	and	and	CCONJ
ajst-20221	4	20	symbol	symbol	NOUN
ajst-20221	4	21	distance	distance	NOUN
ajst-20221	4	22	field	field	NOUN
ajst-20221	4	23	.	.	PUNCT
ajst-20221	5	1	meanwhile	meanwhile	ADV
ajst-20221	5	2	,	,	PUNCT
ajst-20221	5	3	transformer	transformer	ADJ
ajst-20221	5	4	encoder	encoder	NOUN
ajst-20221	5	5	and	and	CCONJ
ajst-20221	5	6	decoder	decoder	NOUN
ajst-20221	5	7	are	be	AUX
ajst-20221	5	8	used	use	VERB
ajst-20221	5	9	to	to	PART
ajst-20221	5	10	extract	extract	VERB
ajst-20221	5	11	feature	feature	NOUN
ajst-20221	5	12	vectors	vector	NOUN
ajst-20221	5	13	from	from	ADP
ajst-20221	5	14	input	input	NOUN
ajst-20221	5	15	images	image	NOUN
ajst-20221	5	16	and	and	CCONJ
ajst-20221	5	17	feed	feed	VERB
ajst-20221	5	18	them	they	PRON
ajst-20221	5	19	into	into	ADP
ajst-20221	5	20	mlp	mlp	PROPN
ajst-20221	5	21	,	,	PUNCT
ajst-20221	5	22	and	and	CCONJ
ajst-20221	5	23	finally	finally	ADV
ajst-20221	5	24	the	the	DET
ajst-20221	5	25	whole	whole	ADJ
ajst-20221	5	26	texture	texture	NOUN
ajst-20221	5	27	including	include	VERB
ajst-20221	5	28	invisible	invisible	ADJ
ajst-20221	5	29	areas	area	NOUN
ajst-20221	5	30	can	can	AUX
ajst-20221	5	31	be	be	AUX
ajst-20221	5	32	inferred	infer	VERB
ajst-20221	5	33	.	.	PUNCT
ajst-20221	6	1	experiments	experiment	NOUN
ajst-20221	6	2	show	show	VERB
ajst-20221	6	3	that	that	SCONJ
ajst-20221	6	4	the	the	DET
ajst-20221	6	5	proposed	propose	VERB
ajst-20221	6	6	method	method	NOUN
ajst-20221	6	7	makes	make	VERB
ajst-20221	6	8	good	good	ADJ
ajst-20221	6	9	progress	progress	NOUN
ajst-20221	6	10	in	in	ADP
ajst-20221	6	11	the	the	DET
ajst-20221	6	12	reconstruction	reconstruction	NOUN
ajst-20221	6	13	of	of	ADP
ajst-20221	6	14	human	human	ADJ
ajst-20221	6	15	body	body	NOUN
ajst-20221	6	16	based	base	VERB
ajst-20221	6	17	on	on	ADP
ajst-20221	6	18	monocular	monocular	PROPN
ajst-20221	6	19	rgb	rgb	PROPN
ajst-20221	6	20	,	,	PUNCT
ajst-20221	6	21	even	even	ADV
ajst-20221	6	22	with	with	ADP
ajst-20221	6	23	good	good	ADJ
ajst-20221	6	24	robustness	robustness	NOUN
ajst-20221	6	25	for	for	ADP
ajst-20221	6	26	invisible	invisible	ADJ
ajst-20221	6	27	regions	region	NOUN
ajst-20221	6	28	.	.	PUNCT
ajst-20221	7	1	keywords	keyword	NOUN
ajst-20221	7	2	:	:	PUNCT
ajst-20221	7	3	human	human	ADJ
ajst-20221	7	4	reconstruction	reconstruction	NOUN
ajst-20221	7	5	,	,	PUNCT
ajst-20221	7	6	normal	normal	ADJ
ajst-20221	7	7	mapping	mapping	NOUN
ajst-20221	7	8	,	,	PUNCT
ajst-20221	7	9	texture	texture	ADJ
ajst-20221	7	10	,	,	PUNCT
ajst-20221	7	11	implicit	implicit	ADJ
ajst-20221	7	12	function	function	NOUN
ajst-20221	7	13	.	.	PUNCT
ajst-20221	8	1	1	1	X
ajst-20221	8	2	.	.	X
ajst-20221	8	3	introduction	introduction	NOUN
ajst-20221	8	4	estimating	estimate	VERB
ajst-20221	8	5	3d	3d	PROPN
ajst-20221	8	6	human	human	NOUN
ajst-20221	8	7	pose	pose	NOUN
ajst-20221	8	8	from	from	ADP
ajst-20221	8	9	monocular	monocular	ADJ
ajst-20221	8	10	rgb	rgb	PROPN
ajst-20221	8	11	images	image	NOUN
ajst-20221	8	12	is	be	AUX
ajst-20221	8	13	one	one	NUM
ajst-20221	8	14	of	of	ADP
ajst-20221	8	15	the	the	DET
ajst-20221	8	16	core	core	NOUN
ajst-20221	8	17	techniques	technique	NOUN
ajst-20221	8	18	for	for	ADP
ajst-20221	8	19	building	build	VERB
ajst-20221	8	20	computational	computational	ADJ
ajst-20221	8	21	models	model	NOUN
ajst-20221	8	22	to	to	PART
ajst-20221	8	23	understand	understand	VERB
ajst-20221	8	24	human	human	ADJ
ajst-20221	8	25	behavioral	behavioral	ADJ
ajst-20221	8	26	cues	cue	NOUN
ajst-20221	8	27	.	.	PUNCT
ajst-20221	9	1	the	the	DET
ajst-20221	9	2	technology	technology	NOUN
ajst-20221	9	3	helps	help	VERB
ajst-20221	9	4	to	to	PART
ajst-20221	9	5	promote	promote	VERB
ajst-20221	9	6	a	a	DET
ajst-20221	9	7	variety	variety	NOUN
ajst-20221	9	8	of	of	ADP
ajst-20221	9	9	applications	application	NOUN
ajst-20221	9	10	,	,	PUNCT
ajst-20221	9	11	and	and	CCONJ
ajst-20221	9	12	has	have	VERB
ajst-20221	9	13	a	a	DET
ajst-20221	9	14	wide	wide	ADJ
ajst-20221	9	15	range	range	NOUN
ajst-20221	9	16	of	of	ADP
ajst-20221	9	17	application	application	NOUN
ajst-20221	9	18	prospects	prospect	NOUN
ajst-20221	9	19	in	in	ADP
ajst-20221	9	20	the	the	DET
ajst-20221	9	21	fields	field	NOUN
ajst-20221	9	22	of	of	ADP
ajst-20221	9	23	behavior	behavior	NOUN
ajst-20221	9	24	recognition	recognition	NOUN
ajst-20221	9	25	,	,	PUNCT
ajst-20221	9	26	ar	ar	PROPN
ajst-20221	9	27	/	/	SYM
ajst-20221	9	28	vr	vr	PROPN
ajst-20221	9	29	,	,	PUNCT
ajst-20221	9	30	attitude	attitude	NOUN
ajst-20221	9	31	tracking	tracking	NOUN
ajst-20221	9	32	,	,	PUNCT
ajst-20221	9	33	social	social	ADJ
ajst-20221	9	34	behavior	behavior	NOUN
ajst-20221	9	35	understanding	understanding	NOUN
ajst-20221	9	36	,	,	PUNCT
ajst-20221	9	37	and	and	CCONJ
ajst-20221	9	38	so	so	ADV
ajst-20221	9	39	on	on	ADV
ajst-20221	9	40	.	.	PUNCT
ajst-20221	10	1	at	at	ADP
ajst-20221	10	2	its	its	PRON
ajst-20221	10	3	core	core	NOUN
ajst-20221	10	4	,	,	PUNCT
ajst-20221	10	5	nuances	nuance	NOUN
ajst-20221	10	6	of	of	ADP
ajst-20221	10	7	human	human	ADJ
ajst-20221	10	8	behavior	behavior	NOUN
ajst-20221	10	9	are	be	AUX
ajst-20221	10	10	often	often	ADV
ajst-20221	10	11	conveyed	convey	VERB
ajst-20221	10	12	through	through	ADP
ajst-20221	10	13	faces	face	NOUN
ajst-20221	10	14	,	,	PUNCT
ajst-20221	10	15	gestures	gesture	NOUN
ajst-20221	10	16	,	,	PUNCT
ajst-20221	10	17	and	and	CCONJ
ajst-20221	10	18	body	body	NOUN
ajst-20221	10	19	postures	posture	NOUN
ajst-20221	10	20	,	,	PUNCT
ajst-20221	10	21	so	so	ADV
ajst-20221	10	22	accurate	accurate	ADJ
ajst-20221	10	23	estimates	estimate	NOUN
ajst-20221	10	24	of	of	ADP
ajst-20221	10	25	whole	whole	ADJ
ajst-20221	10	26	body	body	NOUN
ajst-20221	10	27	movements	movement	NOUN
ajst-20221	10	28	are	be	AUX
ajst-20221	10	29	necessary	necessary	ADJ
ajst-20221	10	30	to	to	PART
ajst-20221	10	31	more	more	ADV
ajst-20221	10	32	accurately	accurately	ADV
ajst-20221	10	33	capture	capture	VERB
ajst-20221	10	34	real	real	ADJ
ajst-20221	10	35	behavioral	behavioral	ADJ
ajst-20221	10	36	signals	signal	NOUN
ajst-20221	10	37	.	.	PUNCT
ajst-20221	11	1	thanks	thank	NOUN
ajst-20221	11	2	to	to	ADP
ajst-20221	11	3	the	the	DET
ajst-20221	11	4	success	success	NOUN
ajst-20221	11	5	of	of	ADP
ajst-20221	11	6	parametric	parametric	ADJ
ajst-20221	11	7	human	human	ADJ
ajst-20221	11	8	models	model	NOUN
ajst-20221	11	9	such	such	ADJ
ajst-20221	11	10	as	as	ADP
ajst-20221	11	11	smpl[1	smpl[1	NOUN
ajst-20221	11	12	]	]	X
ajst-20221	11	13	,	,	PUNCT
ajst-20221	11	14	star[2	star[2	NOUN
ajst-20221	11	15	]	]	X
ajst-20221	11	16	,	,	PUNCT
ajst-20221	11	17	smpl	smpl	NOUN
ajst-20221	11	18	-	-	PUNCT
ajst-20221	11	19	x[3	x[3	PROPN
ajst-20221	11	20	]	]	X
ajst-20221	11	21	,	,	PUNCT
ajst-20221	11	22	etc	etc	X
ajst-20221	11	23	.	.	X
ajst-20221	11	24	,	,	PUNCT
ajst-20221	11	25	parametric	parametric	ADJ
ajst-20221	11	26	human	human	ADJ
ajst-20221	11	27	bodies	body	NOUN
ajst-20221	11	28	based	base	VERB
ajst-20221	11	29	on	on	ADP
ajst-20221	11	30	deep	deep	ADJ
ajst-20221	11	31	learning	learning	NOUN
ajst-20221	11	32	are	be	AUX
ajst-20221	11	33	becoming	become	VERB
ajst-20221	11	34	increasingly	increasingly	ADV
ajst-20221	11	35	popular	popular	ADJ
ajst-20221	11	36	.	.	PUNCT
ajst-20221	12	1	with	with	ADP
ajst-20221	12	2	the	the	DET
ajst-20221	12	3	rise	rise	NOUN
ajst-20221	12	4	of	of	ADP
ajst-20221	12	5	virtual	virtual	ADJ
ajst-20221	12	6	fitting	fitting	ADJ
ajst-20221	12	7	,	,	PUNCT
ajst-20221	12	8	simulation	simulation	NOUN
ajst-20221	12	9	games	game	NOUN
ajst-20221	12	10	,	,	PUNCT
ajst-20221	12	11	film	film	NOUN
ajst-20221	12	12	and	and	CCONJ
ajst-20221	12	13	television	television	NOUN
ajst-20221	12	14	production	production	NOUN
ajst-20221	12	15	and	and	CCONJ
ajst-20221	12	16	other	other	ADJ
ajst-20221	12	17	industries	industry	NOUN
ajst-20221	12	18	,	,	PUNCT
ajst-20221	12	19	people	people	NOUN
ajst-20221	12	20	are	be	AUX
ajst-20221	12	21	no	no	ADV
ajst-20221	12	22	longer	long	ADV
ajst-20221	12	23	satisfied	satisfied	ADJ
ajst-20221	12	24	with	with	ADP
ajst-20221	12	25	simple	simple	ADJ
ajst-20221	12	26	naked	naked	ADJ
ajst-20221	12	27	reconstruction	reconstruction	NOUN
ajst-20221	12	28	,	,	PUNCT
ajst-20221	12	29	but	but	CCONJ
ajst-20221	12	30	the	the	DET
ajst-20221	12	31	material	material	NOUN
ajst-20221	12	32	changes	change	NOUN
ajst-20221	12	33	of	of	ADP
ajst-20221	12	34	clothing	clothing	NOUN
ajst-20221	12	35	,	,	PUNCT
ajst-20221	12	36	complex	complex	ADJ
ajst-20221	12	37	topology	topology	NOUN
ajst-20221	12	38	and	and	CCONJ
ajst-20221	12	39	texture	texture	ADJ
ajst-20221	12	40	changes	change	NOUN
ajst-20221	12	41	,	,	PUNCT
ajst-20221	12	42	coupled	couple	VERB
ajst-20221	12	43	with	with	ADP
ajst-20221	12	44	the	the	DET
ajst-20221	12	45	interaction	interaction	NOUN
ajst-20221	12	46	between	between	ADP
ajst-20221	12	47	clothing	clothing	NOUN
ajst-20221	12	48	and	and	CCONJ
ajst-20221	12	49	the	the	DET
ajst-20221	12	50	body	body	NOUN
ajst-20221	12	51	in	in	ADP
ajst-20221	12	52	different	different	ADJ
ajst-20221	12	53	positions	position	NOUN
ajst-20221	12	54	,	,	PUNCT
ajst-20221	12	55	these	these	DET
ajst-20221	12	56	factors	factor	NOUN
ajst-20221	12	57	make	make	VERB
ajst-20221	12	58	the	the	DET
ajst-20221	12	59	geometric	geometric	ADJ
ajst-20221	12	60	representation	representation	NOUN
ajst-20221	12	61	space	space	NOUN
ajst-20221	12	62	required	require	VERB
ajst-20221	12	63	for	for	ADP
ajst-20221	12	64	the	the	DET
ajst-20221	12	65	geometric	geometric	ADJ
ajst-20221	12	66	reconstruction	reconstruction	NOUN
ajst-20221	12	67	of	of	ADP
ajst-20221	12	68	the	the	DET
ajst-20221	12	69	clothed	clothe	VERB
ajst-20221	12	70	body	body	NOUN
ajst-20221	12	71	become	become	VERB
ajst-20221	12	72	high	high	ADV
ajst-20221	12	73	-	-	PUNCT
ajst-20221	12	74	dimensional	dimensional	ADJ
ajst-20221	12	75	and	and	CCONJ
ajst-20221	12	76	complex	complex	ADJ
ajst-20221	12	77	.	.	PUNCT
ajst-20221	13	1	therefore	therefore	ADV
ajst-20221	13	2	,	,	PUNCT
ajst-20221	13	3	although	although	SCONJ
ajst-20221	13	4	the	the	DET
ajst-20221	13	5	traditional	traditional	ADJ
ajst-20221	13	6	parameterization	parameterization	NOUN
ajst-20221	13	7	-	-	PUNCT
ajst-20221	13	8	based	base	VERB
ajst-20221	13	9	representation	representation	NOUN
ajst-20221	13	10	method	method	NOUN
ajst-20221	13	11	can	can	AUX
ajst-20221	13	12	simplify	simplify	VERB
ajst-20221	13	13	the	the	DET
ajst-20221	13	14	problem	problem	NOUN
ajst-20221	13	15	,	,	PUNCT
ajst-20221	13	16	it	it	PRON
ajst-20221	13	17	can	can	AUX
ajst-20221	13	18	not	not	PART
ajst-20221	13	19	fully	fully	ADV
ajst-20221	13	20	capture	capture	VERB
ajst-20221	13	21	the	the	DET
ajst-20221	13	22	complex	complex	ADJ
ajst-20221	13	23	geometric	geometric	ADJ
ajst-20221	13	24	structure	structure	NOUN
ajst-20221	13	25	and	and	CCONJ
ajst-20221	13	26	detailed	detailed	ADJ
ajst-20221	13	27	characteristics	characteristic	NOUN
ajst-20221	13	28	of	of	ADP
ajst-20221	13	29	the	the	DET
ajst-20221	13	30	human	human	ADJ
ajst-20221	13	31	body	body	NOUN
ajst-20221	13	32	.	.	PUNCT
ajst-20221	14	1	smplicit[4	smplicit[4	PROPN
ajst-20221	14	2	]	]	PUNCT
ajst-20221	14	3	use	use	NOUN
ajst-20221	14	4	smpl	smpl	NOUN
ajst-20221	14	5	's	's	PART
ajst-20221	14	6	skin	skin	NOUN
ajst-20221	14	7	weights	weight	NOUN
ajst-20221	14	8	to	to	PART
ajst-20221	14	9	transform	transform	VERB
ajst-20221	14	10	clothing	clothing	NOUN
ajst-20221	14	11	in	in	ADP
ajst-20221	14	12	t	t	PROPN
ajst-20221	14	13	-	-	PUNCT
ajst-20221	14	14	pose	pose	NOUN
ajst-20221	14	15	to	to	PART
ajst-20221	14	16	get	get	VERB
ajst-20221	14	17	a	a	DET
ajst-20221	14	18	clothing	clothing	NOUN
ajst-20221	14	19	model	model	NOUN
ajst-20221	14	20	in	in	ADP
ajst-20221	14	21	the	the	DET
ajst-20221	14	22	current	current	ADJ
ajst-20221	14	23	human	human	NOUN
ajst-20221	14	24	pose	pose	NOUN
ajst-20221	14	25	,	,	PUNCT
ajst-20221	14	26	but	but	CCONJ
ajst-20221	14	27	it	it	PRON
ajst-20221	14	28	is	be	AUX
ajst-20221	14	29	not	not	PART
ajst-20221	14	30	appropriate	appropriate	ADJ
ajst-20221	14	31	to	to	PART
ajst-20221	14	32	use	use	VERB
ajst-20221	14	33	human	human	ADJ
ajst-20221	14	34	skin	skin	NOUN
ajst-20221	14	35	weights	weight	NOUN
ajst-20221	14	36	for	for	ADP
ajst-20221	14	37	looser	loose	ADJ
ajst-20221	14	38	clothing	clothing	NOUN
ajst-20221	14	39	.	.	PUNCT
ajst-20221	15	1	pifu[5	pifu[5	NOUN
ajst-20221	15	2	]	]	PUNCT
ajst-20221	15	3	and	and	CCONJ
ajst-20221	15	4	pifuhd[6	pifuhd[6	PROPN
ajst-20221	15	5	]	]	PUNCT
ajst-20221	15	6	used	use	VERB
ajst-20221	15	7	the	the	DET
ajst-20221	15	8	implicit	implicit	ADJ
ajst-20221	15	9	function	function	NOUN
ajst-20221	15	10	based	base	VERB
ajst-20221	15	11	on	on	ADP
ajst-20221	15	12	pixel	pixel	PROPN
ajst-20221	15	13	alignment	alignment	NOUN
ajst-20221	15	14	to	to	PART
ajst-20221	15	15	reconstruct	reconstruct	VERB
ajst-20221	15	16	high	high	ADJ
ajst-20221	15	17	-	-	PUNCT
ajst-20221	15	18	quality	quality	NOUN
ajst-20221	15	19	human	human	ADJ
ajst-20221	15	20	body	body	NOUN
ajst-20221	15	21	models	model	NOUN
ajst-20221	15	22	with	with	ADP
ajst-20221	15	23	good	good	ADJ
ajst-20221	15	24	real	real	ADJ
ajst-20221	15	25	-	-	PUNCT
ajst-20221	15	26	time	time	NOUN
ajst-20221	15	27	and	and	CCONJ
ajst-20221	15	28	robustness	robustness	NOUN
ajst-20221	15	29	,	,	PUNCT
ajst-20221	15	30	including	include	VERB
ajst-20221	15	31	clothing	clothing	NOUN
ajst-20221	15	32	and	and	CCONJ
ajst-20221	15	33	details	detail	NOUN
ajst-20221	15	34	,	,	PUNCT
ajst-20221	15	35	but	but	CCONJ
ajst-20221	15	36	only	only	ADV
ajst-20221	15	37	obtained	obtain	VERB
ajst-20221	15	38	satisfactory	satisfactory	ADJ
ajst-20221	15	39	results	result	NOUN
ajst-20221	15	40	under	under	ADP
ajst-20221	15	41	standing	standing	ADJ
ajst-20221	15	42	posture	posture	NOUN
ajst-20221	15	43	.	.	PUNCT
ajst-20221	16	1	icon[7	icon[7	PUNCT
ajst-20221	16	2	]	]	PUNCT
ajst-20221	17	1	generates	generate	VERB
ajst-20221	17	2	a	a	DET
ajst-20221	17	3	normal	normal	ADJ
ajst-20221	17	4	graph	graph	NOUN
ajst-20221	17	5	from	from	ADP
ajst-20221	17	6	rgb	rgb	PROPN
ajst-20221	17	7	in	in	ADP
ajst-20221	17	8	a	a	DET
ajst-20221	17	9	way	way	NOUN
ajst-20221	17	10	similar	similar	ADJ
ajst-20221	17	11	to	to	ADP
ajst-20221	17	12	pix2pix[8	pix2pix[8	PROPN
ajst-20221	17	13	]	]	PUNCT
ajst-20221	17	14	,	,	PUNCT
ajst-20221	17	15	and	and	CCONJ
ajst-20221	17	16	based	base	VERB
ajst-20221	17	17	on	on	ADP
ajst-20221	17	18	the	the	DET
ajst-20221	17	19	predicted	predict	VERB
ajst-20221	17	20	human	human	ADJ
ajst-20221	17	21	normal	normal	ADJ
ajst-20221	17	22	graph	graph	NOUN
ajst-20221	17	23	and	and	CCONJ
ajst-20221	17	24	smpl	smpl	PROPN
ajst-20221	17	25	mannequin	mannequin	PROPN
ajst-20221	17	26	model	model	PROPN
ajst-20221	17	27	,	,	PUNCT
ajst-20221	17	28	returns	return	VERB
ajst-20221	17	29	the	the	DET
ajst-20221	17	30	implicit	implicit	ADJ
ajst-20221	17	31	surface	surface	NOUN
ajst-20221	17	32	of	of	ADP
ajst-20221	17	33	the	the	DET
ajst-20221	17	34	clothed	clothe	VERB
ajst-20221	17	35	human	human	ADJ
ajst-20221	17	36	body	body	NOUN
ajst-20221	17	37	,	,	PUNCT
ajst-20221	17	38	which	which	PRON
ajst-20221	17	39	also	also	ADV
ajst-20221	17	40	has	have	VERB
ajst-20221	17	41	good	good	ADJ
ajst-20221	17	42	robustness	robustness	NOUN
ajst-20221	17	43	in	in	ADP
ajst-20221	17	44	extreme	extreme	ADJ
ajst-20221	17	45	postures	posture	NOUN
ajst-20221	17	46	.	.	PUNCT
ajst-20221	18	1	with	with	ADP
ajst-20221	18	2	the	the	DET
ajst-20221	18	3	birth	birth	NOUN
ajst-20221	18	4	of	of	ADP
ajst-20221	18	5	nerf[9	nerf[9	NOUN
ajst-20221	18	6	]	]	PUNCT
ajst-20221	18	7	,	,	PUNCT
ajst-20221	18	8	the	the	DET
ajst-20221	18	9	human	human	ADJ
ajst-20221	18	10	body	body	NOUN
ajst-20221	18	11	reconstruction	reconstruction	NOUN
ajst-20221	18	12	method	method	NOUN
ajst-20221	18	13	based	base	VERB
ajst-20221	18	14	on	on	ADP
ajst-20221	18	15	nerf[10	nerf[10	PROPN
ajst-20221	18	16	-	-	PUNCT
ajst-20221	18	17	12	12	NUM
ajst-20221	18	18	]	]	PUNCT
ajst-20221	18	19	has	have	AUX
ajst-20221	18	20	made	make	VERB
ajst-20221	18	21	good	good	ADJ
ajst-20221	18	22	breakthroughs	breakthrough	NOUN
ajst-20221	18	23	in	in	ADP
ajst-20221	18	24	reconstruction	reconstruction	NOUN
ajst-20221	18	25	speed	speed	NOUN
ajst-20221	18	26	,	,	PUNCT
ajst-20221	18	27	quality	quality	NOUN
ajst-20221	18	28	,	,	PUNCT
ajst-20221	18	29	illumination	illumination	NOUN
ajst-20221	18	30	consistency	consistency	NOUN
ajst-20221	18	31	and	and	CCONJ
ajst-20221	18	32	other	other	ADJ
ajst-20221	18	33	aspects	aspect	NOUN
ajst-20221	18	34	.	.	PUNCT
ajst-20221	19	1	however	however	ADV
ajst-20221	19	2	,	,	PUNCT
ajst-20221	19	3	in	in	ADP
ajst-20221	19	4	general	general	ADJ
ajst-20221	19	5	,	,	PUNCT
ajst-20221	19	6	nerf	nerf	NOUN
ajst-20221	19	7	-	-	PUNCT
ajst-20221	19	8	related	relate	VERB
ajst-20221	19	9	human	human	ADJ
ajst-20221	19	10	body	body	NOUN
ajst-20221	19	11	reconstruction	reconstruction	NOUN
ajst-20221	19	12	is	be	AUX
ajst-20221	19	13	more	more	ADV
ajst-20221	19	14	suitable	suitable	ADJ
ajst-20221	19	15	for	for	ADP
ajst-20221	19	16	generating	generate	VERB
ajst-20221	19	17	new	new	ADJ
ajst-20221	19	18	views	view	NOUN
ajst-20221	19	19	rather	rather	ADV
ajst-20221	19	20	than	than	ADP
ajst-20221	19	21	directly	directly	ADV
ajst-20221	19	22	generating	generate	VERB
ajst-20221	19	23	standard	standard	ADJ
ajst-20221	19	24	human	human	ADJ
ajst-20221	19	25	body	body	NOUN
ajst-20221	19	26	models	model	NOUN
ajst-20221	19	27	.	.	PUNCT
ajst-20221	20	1	in	in	ADP
ajst-20221	20	2	order	order	NOUN
ajst-20221	20	3	to	to	PART
ajst-20221	20	4	solve	solve	VERB
ajst-20221	20	5	the	the	DET
ajst-20221	20	6	above	above	ADJ
ajst-20221	20	7	problems	problem	NOUN
ajst-20221	20	8	of	of	ADP
ajst-20221	20	9	missing	miss	VERB
ajst-20221	20	10	,	,	PUNCT
ajst-20221	20	11	artifacts	artifact	NOUN
ajst-20221	20	12	and	and	CCONJ
ajst-20221	20	13	no	no	DET
ajst-20221	20	14	texture	texture	NOUN
ajst-20221	20	15	in	in	ADP
ajst-20221	20	16	human	human	ADJ
ajst-20221	20	17	body	body	NOUN
ajst-20221	20	18	reconstruction	reconstruction	NOUN
ajst-20221	20	19	,	,	PUNCT
ajst-20221	20	20	this	this	DET
ajst-20221	20	21	paper	paper	NOUN
ajst-20221	20	22	proposes	propose	VERB
ajst-20221	20	23	a	a	DET
ajst-20221	20	24	new	new	ADJ
ajst-20221	20	25	method	method	NOUN
ajst-20221	20	26	,	,	PUNCT
ajst-20221	20	27	which	which	PRON
ajst-20221	20	28	combines	combine	VERB
ajst-20221	20	29	normal	normal	ADJ
ajst-20221	20	30	prediction	prediction	NOUN
ajst-20221	20	31	and	and	CCONJ
ajst-20221	20	32	symbol	symbol	NOUN
ajst-20221	20	33	distance	distance	NOUN
ajst-20221	20	34	field	field	NOUN
ajst-20221	20	35	,	,	PUNCT
ajst-20221	20	36	can	can	AUX
ajst-20221	20	37	reconstruct	reconstruct	VERB
ajst-20221	20	38	human	human	ADJ
ajst-20221	20	39	mesh	mesh	NOUN
ajst-20221	20	40	with	with	ADP
ajst-20221	20	41	texture	texture	NOUN
ajst-20221	20	42	from	from	ADP
ajst-20221	20	43	a	a	DET
ajst-20221	20	44	single	single	ADJ
ajst-20221	20	45	rgb	rgb	PROPN
ajst-20221	20	46	photo	photo	NOUN
ajst-20221	20	47	,	,	PUNCT
ajst-20221	20	48	and	and	CCONJ
ajst-20221	20	49	still	still	ADV
ajst-20221	20	50	has	have	VERB
ajst-20221	20	51	good	good	ADJ
ajst-20221	20	52	expression	expression	NOUN
ajst-20221	20	53	effect	effect	NOUN
ajst-20221	20	54	under	under	ADP
ajst-20221	20	55	extreme	extreme	ADJ
ajst-20221	20	56	poses	pose	NOUN
ajst-20221	20	57	.	.	PUNCT
ajst-20221	21	1	2	2	X
ajst-20221	21	2	.	.	NUM
ajst-20221	21	3	clothed	clothe	VERB
ajst-20221	21	4	human	human	ADJ
ajst-20221	21	5	texture	texture	ADJ
ajst-20221	21	6	model	model	NOUN
ajst-20221	21	7	design	design	NOUN
ajst-20221	21	8	figure	figure	NOUN
ajst-20221	21	9	1	1	NUM
ajst-20221	21	10	.	.	PUNCT
ajst-20221	21	11	structure	structure	NOUN
ajst-20221	21	12	of	of	ADP
ajst-20221	21	13	method	method	NOUN
ajst-20221	21	14	the	the	DET
ajst-20221	21	15	structure	structure	NOUN
ajst-20221	21	16	of	of	ADP
ajst-20221	21	17	this	this	DET
ajst-20221	21	18	paper	paper	NOUN
ajst-20221	21	19	is	be	AUX
ajst-20221	21	20	shown	show	VERB
ajst-20221	21	21	in	in	ADP
ajst-20221	21	22	fig	fig	NOUN
ajst-20221	21	23	1	1	NUM
ajst-20221	21	24	.	.	PUNCT
ajst-20221	22	1	a	a	DET
ajst-20221	22	2	single	single	ADJ
ajst-20221	22	3	rgb	rgb	PROPN
ajst-20221	22	4	image	image	NOUN
ajst-20221	22	5	i	i	PRON
ajst-20221	22	6	is	be	AUX
ajst-20221	22	7	accepted	accept	VERB
ajst-20221	22	8	as	as	ADP
ajst-20221	22	9	input	input	NOUN
ajst-20221	22	10	,	,	PUNCT
ajst-20221	22	11	and	and	CCONJ
ajst-20221	22	12	after	after	ADP
ajst-20221	22	13	pose	pose	NOUN
ajst-20221	22	14	and	and	CCONJ
ajst-20221	22	15	shape	shape	NOUN
ajst-20221	22	16	estimation	estimation	NOUN
ajst-20221	22	17	,	,	PUNCT
ajst-20221	22	18	the	the	DET
ajst-20221	22	19	smpl	smpl	NOUN
ajst-20221	22	20	-	-	PUNCT
ajst-20221	22	21	x	x	NOUN
ajst-20221	22	22	model	model	NOUN
ajst-20221	22	23			PROPN
ajst-20221	22	24	is	be	AUX
ajst-20221	22	25	obtained	obtain	VERB
ajst-20221	22	26	.	.	PUNCT
ajst-20221	23	1	then	then	ADV
ajst-20221	23	2	the	the	DET
ajst-20221	23	3	naked	naked	ADJ
ajst-20221	23	4	body	body	NOUN
ajst-20221	23	5	normal	normal	ADJ
ajst-20221	23	6	prediction	prediction	NOUN
ajst-20221	23	7	obtained	obtain	VERB
ajst-20221	23	8	through	through	ADP
ajst-20221	23	9	the	the	DET
ajst-20221	23	10	clothed	clothe	VERB
ajst-20221	23	11	body	body	NOUN
ajst-20221	23	12	normal	normal	ADJ
ajst-20221	23	13	prediction	prediction	NOUN
ajst-20221	23	14	was	be	AUX
ajst-20221	23	15	obtained	obtain	VERB
ajst-20221	23	16	through	through	ADP
ajst-20221	23	17	the	the	DET
ajst-20221	23	18	generation	generation	NOUN
ajst-20221	23	19	network	network	NOUN
ajst-20221	23	20	,	,	PUNCT
ajst-20221	23	21	and	and	CCONJ
ajst-20221	23	22	the	the	DET
ajst-20221	23	23	human	human	ADJ
ajst-20221	23	24	occupation	occupation	NOUN
ajst-20221	23	25	field	field	NOUN
ajst-20221	23	26	was	be	AUX
ajst-20221	23	27	predicted	predict	VERB
ajst-20221	23	28	by	by	ADP
ajst-20221	23	29	combining	combine	VERB
ajst-20221	23	30	the	the	DET
ajst-20221	23	31	implicit	implicit	ADJ
ajst-20221	23	32	function	function	NOUN
ajst-20221	23	33	and	and	CCONJ
ajst-20221	23	34	sdf	sdf	PROPN
ajst-20221	23	35	.	.	PROPN
ajst-20221	24	1	at	at	ADP
ajst-20221	24	2	the	the	DET
ajst-20221	24	3	same	same	ADJ
ajst-20221	24	4	time	time	NOUN
ajst-20221	24	5	,	,	PUNCT
ajst-20221	24	6	the	the	DET
ajst-20221	24	7	input	input	NOUN
ajst-20221	24	8	image	image	NOUN
ajst-20221	24	9	is	be	AUX
ajst-20221	24	10	encoded	encode	VERB
ajst-20221	24	11	and	and	CCONJ
ajst-20221	24	12	decoded	decode	VERB
ajst-20221	24	13	by	by	ADP
ajst-20221	24	14	transformer	transformer	NOUN
ajst-20221	24	15	to	to	PART
ajst-20221	24	16	obtain	obtain	VERB
ajst-20221	24	17	image	image	NOUN
ajst-20221	24	18	features	feature	NOUN
ajst-20221	24	19	,	,	PUNCT
ajst-20221	24	20	and	and	CCONJ
ajst-20221	24	21	then	then	ADV
ajst-20221	24	22	the	the	DET
ajst-20221	24	23	human	human	ADJ
ajst-20221	24	24	body	body	NOUN
ajst-20221	24	25	texture	texture	NOUN
ajst-20221	24	26	is	be	AUX
ajst-20221	24	27	inferred	infer	VERB
ajst-20221	24	28	by	by	ADP
ajst-20221	24	29	mlp	mlp	PROPN
ajst-20221	24	30	through	through	ADP
ajst-20221	24	31	feature	feature	NOUN
ajst-20221	24	32	mapping	mapping	NOUN
ajst-20221	24	33	and	and	CCONJ
ajst-20221	24	34	barycentric	barycentric	ADJ
ajst-20221	24	35	interpolation	interpolation	NOUN
ajst-20221	24	36	2.1	2.1	NUM
ajst-20221	24	37	.	.	PUNCT
ajst-20221	25	1	clothed	clothe	VERB
ajst-20221	25	2	body	body	NOUN
ajst-20221	25	3	normal	normal	ADJ
ajst-20221	25	4	prediction	prediction	NOUN
ajst-20221	25	5	.	.	PUNCT
ajst-20221	26	1	trying	try	VERB
ajst-20221	26	2	to	to	PART
ajst-20221	26	3	infer	infer	VERB
ajst-20221	26	4	a	a	DET
ajst-20221	26	5	full	full	ADJ
ajst-20221	26	6	360	360	NUM
ajst-20221	26	7	-	-	PUNCT
ajst-20221	26	8	degree	degree	NOUN
ajst-20221	26	9	3d	3d	NOUN
ajst-20221	26	10	graph	graph	NOUN
ajst-20221	26	11	from	from	ADP
ajst-20221	26	12	a	a	DET
ajst-20221	26	13	single	single	ADJ
ajst-20221	26	14	rgb	rgb	PROPN
ajst-20221	26	15	image	image	NOUN
ajst-20221	26	16	of	of	ADP
ajst-20221	26	17	a	a	DET
ajst-20221	26	18	clothed	clothe	VERB
ajst-20221	26	19	person	person	NOUN
ajst-20221	26	20	is	be	AUX
ajst-20221	26	21	an	an	DET
ajst-20221	26	22	extremely	extremely	ADV
ajst-20221	26	23	challenging	challenging	ADJ
ajst-20221	26	24	214	214	NUM
ajst-20221	26	25	task	task	NOUN
ajst-20221	26	26	.	.	PUNCT
ajst-20221	27	1	the	the	DET
ajst-20221	27	2	main	main	ADJ
ajst-20221	27	3	difficulty	difficulty	NOUN
ajst-20221	27	4	is	be	AUX
ajst-20221	27	5	that	that	SCONJ
ajst-20221	27	6	the	the	DET
ajst-20221	27	7	normal	normal	ADJ
ajst-20221	27	8	information	information	NOUN
ajst-20221	27	9	of	of	ADP
ajst-20221	27	10	the	the	DET
ajst-20221	27	11	obscured	obscured	ADJ
ajst-20221	27	12	part	part	NOUN
ajst-20221	27	13	of	of	ADP
ajst-20221	27	14	the	the	DET
ajst-20221	27	15	image	image	NOUN
ajst-20221	27	16	needs	need	VERB
ajst-20221	27	17	to	to	PART
ajst-20221	27	18	be	be	AUX
ajst-20221	27	19	obtained	obtain	VERB
ajst-20221	27	20	by	by	ADP
ajst-20221	27	21	inferring	infer	VERB
ajst-20221	27	22	the	the	DET
ajst-20221	27	23	visible	visible	ADJ
ajst-20221	27	24	part	part	NOUN
ajst-20221	27	25	,	,	PUNCT
ajst-20221	27	26	which	which	PRON
ajst-20221	27	27	is	be	AUX
ajst-20221	27	28	essentially	essentially	ADV
ajst-20221	27	29	an	an	DET
ajst-20221	27	30	ill	ill	ADV
ajst-20221	27	31	-	-	PUNCT
ajst-20221	27	32	posed	pose	VERB
ajst-20221	27	33	problem	problem	NOUN
ajst-20221	27	34	.	.	PUNCT
ajst-20221	28	1	however	however	ADV
ajst-20221	28	2	,	,	PUNCT
ajst-20221	28	3	by	by	ADP
ajst-20221	28	4	using	use	VERB
ajst-20221	28	5	a	a	DET
ajst-20221	28	6	large	large	ADJ
ajst-20221	28	7	number	number	NOUN
ajst-20221	28	8	of	of	ADP
ajst-20221	28	9	rgb	rgb	PROPN
ajst-20221	28	10	images	image	NOUN
ajst-20221	28	11	for	for	ADP
ajst-20221	28	12	training	training	NOUN
ajst-20221	28	13	with	with	ADP
ajst-20221	28	14	the	the	DET
ajst-20221	28	15	corresponding	corresponding	ADJ
ajst-20221	28	16	normal	normal	ADJ
ajst-20221	28	17	images	image	NOUN
ajst-20221	28	18	,	,	PUNCT
ajst-20221	28	19	the	the	DET
ajst-20221	28	20	image	image	NOUN
ajst-20221	28	21	-	-	PUNCT
ajst-20221	28	22	to	to	ADP
ajst-20221	28	23	-	-	PUNCT
ajst-20221	28	24	image	image	NOUN
ajst-20221	28	25	transformation	transformation	NOUN
ajst-20221	28	26	network	network	NOUN
ajst-20221	28	27	structure	structure	NOUN
ajst-20221	28	28	can	can	AUX
ajst-20221	28	29	be	be	AUX
ajst-20221	28	30	used	use	VERB
ajst-20221	28	31	to	to	PART
ajst-20221	28	32	accurately	accurately	ADV
ajst-20221	28	33	estimate	estimate	VERB
ajst-20221	28	34	the	the	DET
ajst-20221	28	35	"	"	PUNCT
ajst-20221	28	36	front	front	ADJ
ajst-20221	28	37	"	"	PUNCT
ajst-20221	28	38	normal	normal	ADJ
ajst-20221	28	39	map	map	NOUN
ajst-20221	28	40	front	front	NOUN
ajst-20221	28	41	from	from	ADP
ajst-20221	28	42	the	the	DET
ajst-20221	28	43	rgb	rgb	PROPN
ajst-20221	28	44	image	image	NOUN
ajst-20221	28	45	,	,	PUNCT
ajst-20221	28	46	and	and	CCONJ
ajst-20221	28	47	the	the	DET
ajst-20221	28	48	"	"	PUNCT
ajst-20221	28	49	back	back	ADJ
ajst-20221	28	50	"	"	PUNCT
ajst-20221	28	51	normal	normal	ADJ
ajst-20221	28	52	map	map	NOUN
ajst-20221	28	53	back	back	NOUN
ajst-20221	28	54	is	be	AUX
ajst-20221	28	55	equally	equally	ADV
ajst-20221	28	56	important	important	ADJ
ajst-20221	28	57	in	in	ADP
ajst-20221	28	58	order	order	NOUN
ajst-20221	28	59	to	to	PART
ajst-20221	28	60	obtain	obtain	VERB
ajst-20221	28	61	the	the	DET
ajst-20221	28	62	fine	fine	ADJ
ajst-20221	28	63	mesh	mesh	NOUN
ajst-20221	28	64	of	of	ADP
ajst-20221	28	65	the	the	DET
ajst-20221	28	66	clothed	clothe	VERB
ajst-20221	28	67	human	human	ADJ
ajst-20221	28	68	body	body	NOUN
ajst-20221	28	69	.	.	PUNCT
ajst-20221	29	1	under	under	ADP
ajst-20221	29	2	the	the	DET
ajst-20221	29	3	weak	weak	ADJ
ajst-20221	29	4	perspective	perspective	NOUN
ajst-20221	29	5	camera	camera	NOUN
ajst-20221	29	6	model	model	NOUN
ajst-20221	29	7	with	with	ADP
ajst-20221	29	8	global	global	ADJ
ajst-20221	29	9	rotation	rotation	NOUN
ajst-20221	29	10	parameters	parameter	NOUN
ajst-20221	29	11	3	3	NUM
ajst-20221	29	12	3r	3r	NUM
ajst-20221	29	13			X
ajst-20221	29	14	,	,	PUNCT
ajst-20221	29	15	translation	translation	NOUN
ajst-20221	29	16	parameters	parameter	NOUN
ajst-20221	29	17	2t	2t	NUM
ajst-20221	29	18	and	and	CCONJ
ajst-20221	29	19	scaling	scale	VERB
ajst-20221	29	20	parameters	parameter	NOUN
ajst-20221	29	21	s	s	NOUN
ajst-20221	29	22	,	,	PUNCT
ajst-20221	29	23	this	this	DET
ajst-20221	29	24	paper	paper	NOUN
ajst-20221	29	25	uses	use	VERB
ajst-20221	29	26	pytorch3d	pytorch3d	NOUN
ajst-20221	29	27	[	[	X
ajst-20221	29	28	13	13	NUM
ajst-20221	29	29	]	]	SYM
ajst-20221	29	30	differentiable	differentiable	ADJ
ajst-20221	29	31	renderer	renderer	NOUN
ajst-20221	29	32	,	,	PUNCT
ajst-20221	29	33	which	which	PRON
ajst-20221	29	34	is	be	AUX
ajst-20221	29	35	expressed	express	VERB
ajst-20221	29	36	as	as	ADP
ajst-20221	29	37	,	,	PUNCT
ajst-20221	29	38			PRON
ajst-20221	29	39	.	.	PUNCT
ajst-20221	30	1	b	b	X
ajst-20221	30	2	(	(	PUNCT
ajst-20221	30	3	)	)	PUNCT
ajst-20221	30	4			VERB
ajst-20221	30	5			VERB
ajst-20221	30	6			PROPN
ajst-20221	30	7	(	(	PUNCT
ajst-20221	30	8	1	1	NUM
ajst-20221	30	9	)	)	PUNCT
ajst-20221	30	10	in	in	ADP
ajst-20221	30	11	the	the	DET
ajst-20221	30	12	formula	formula	NOUN
ajst-20221	30	13	(	(	PUNCT
ajst-20221	30	14	1	1	NUM
ajst-20221	30	15	)	)	PUNCT
ajst-20221	30	16	,	,	PUNCT
ajst-20221	30	17			PROPN
ajst-20221	30	18	b	b	PROPN
ajst-20221	30	19	b	b	PROPN
ajst-20221	30	20	b	b	NUM
ajst-20221	30	21	front	front	ADJ
ajst-20221	30	22	back,	back,	PROPN
ajst-20221	30	23			NOUN
ajst-20221	30	24			NOUN
ajst-20221	30	25	.	.	PUNCT
ajst-20221	31	1	in	in	ADP
ajst-20221	31	2	order	order	NOUN
ajst-20221	31	3	to	to	PART
ajst-20221	31	4	guide	guide	VERB
ajst-20221	31	5	the	the	DET
ajst-20221	31	6	normal	normal	ADJ
ajst-20221	31	7	prediction	prediction	NOUN
ajst-20221	31	8	and	and	CCONJ
ajst-20221	31	9	make	make	VERB
ajst-20221	31	10	it	it	PRON
ajst-20221	31	11	robust	robust	ADJ
ajst-20221	31	12	to	to	ADP
ajst-20221	31	13	various	various	ADJ
ajst-20221	31	14	body	body	NOUN
ajst-20221	31	15	postures	posture	NOUN
ajst-20221	31	16	,	,	PUNCT
ajst-20221	31	17	icon	icon	NOUN
ajst-20221	31	18	bases	basis	NOUN
ajst-20221	31	19	the	the	DET
ajst-20221	31	20	normal	normal	ADJ
ajst-20221	31	21	graph	graph	NOUN
ajst-20221	31	22	prediction	prediction	NOUN
ajst-20221	31	23	module	module	NOUN
ajst-20221	31	24	on	on	ADP
ajst-20221	31	25	the	the	DET
ajst-20221	31	26	body	body	NOUN
ajst-20221	31	27	normal	normal	ADJ
ajst-20221	31	28	maps	map	NOUN
ajst-20221	31	29	b	b	PROPN
ajst-20221	31	30	rendered	render	VERB
ajst-20221	31	31	from	from	ADP
ajst-20221	31	32	the	the	DET
ajst-20221	31	33	estimated	estimate	VERB
ajst-20221	31	34	body	body	NOUN
ajst-20221	31	35	b	b	NOUN
ajst-20221	31	36	.	.	PUNCT
ajst-20221	32	1	as	as	SCONJ
ajst-20221	32	2	shown	show	VERB
ajst-20221	32	3	in	in	ADP
ajst-20221	32	4	formula	formula	NOUN
ajst-20221	32	5	(	(	PUNCT
ajst-20221	32	6	2	2	NUM
ajst-20221	32	7	)	)	PUNCT
ajst-20221	32	8	,	,	PUNCT
ajst-20221	32	9	given	give	VERB
ajst-20221	32	10	b	b	PROPN
ajst-20221	32	11	and	and	CCONJ
ajst-20221	32	12	input	input	NOUN
ajst-20221	32	13	image	image	NOUN
ajst-20221	32	14			PROPN
ajst-20221	32	15	,	,	PUNCT
ajst-20221	32	16	the	the	DET
ajst-20221	32	17	normal	normal	ADJ
ajst-20221	32	18	-	-	PUNCT
ajst-20221	32	19	generating	generate	VERB
ajst-20221	32	20	network	network	NOUN
ajst-20221	32	21			PROPN
ajst-20221	32	22	n	n	PROPN
ajst-20221	32	23	n	n	CCONJ
ajst-20221	32	24	n	n	PRON
ajst-20221	32	25	front	front	ADJ
ajst-20221	32	26	back,	back,	NOUN
ajst-20221	32	27			PUNCT
ajst-20221	32	28			NOUN
ajst-20221	32	29	predicts	predict	VERB
ajst-20221	32	30	the	the	DET
ajst-20221	32	31	front	front	ADJ
ajst-20221	32	32	and	and	CCONJ
ajst-20221	32	33	back	back	ADJ
ajst-20221	32	34	normals	normal	NOUN
ajst-20221	32	35	of	of	ADP
ajst-20221	32	36	the	the	DET
ajst-20221	32	37	clothed	clothe	VERB
ajst-20221	32	38	human	human	ADJ
ajst-20221	32	39	body	body	NOUN
ajst-20221	32	40	,	,	PUNCT
ajst-20221	32	41	expressed	express	VERB
ajst-20221	32	42	as	as	ADP
ajst-20221	32	43			PROPN
ajst-20221	32	44	c	c	PROPN
ajst-20221	32	45	c	c	PROPN
ajst-20221	32	46	c	c	NOUN
ajst-20221	32	47	front	front	NOUN
ajst-20221	32	48	back	back	ADV
ajst-20221	32	49	ˆ	ˆ	ADV
ajst-20221	32	50	,	,	PUNCT
ajst-20221	32	51	ˆ	ˆ	PROPN
ajst-20221	32	52	ˆ	ˆ	PROPN
ajst-20221	32	53			NOUN
ajst-20221	32	54			NOUN
ajst-20221	32	55			PROPN
ajst-20221	32	56	n	n	PROPN
ajst-20221	32	57	b	b	SYM
ajst-20221	32	58	cˆ	cˆ	PROPN
ajst-20221	32	59	,	,	PUNCT
ajst-20221	32	60			NOUN
ajst-20221	32	61			PROPN
ajst-20221	32	62			PROPN
ajst-20221	32	63			PROPN
ajst-20221	32	64	(	(	PUNCT
ajst-20221	32	65	2	2	NUM
ajst-20221	32	66	)	)	PUNCT
ajst-20221	32	67	in	in	ADP
ajst-20221	32	68	order	order	NOUN
ajst-20221	32	69	to	to	PART
ajst-20221	32	70	predict	predict	VERB
ajst-20221	32	71	the	the	DET
ajst-20221	32	72	normal	normal	ADJ
ajst-20221	32	73	plot	plot	NOUN
ajst-20221	32	74	of	of	ADP
ajst-20221	32	75	the	the	DET
ajst-20221	32	76	invisible	invisible	ADJ
ajst-20221	32	77	region	region	NOUN
ajst-20221	32	78	and	and	CCONJ
ajst-20221	32	79	maintain	maintain	VERB
ajst-20221	32	80	some	some	DET
ajst-20221	32	81	consistency	consistency	NOUN
ajst-20221	32	82	in	in	ADP
ajst-20221	32	83	the	the	DET
ajst-20221	32	84	local	local	ADJ
ajst-20221	32	85	region	region	NOUN
ajst-20221	32	86	of	of	ADP
ajst-20221	32	87	the	the	DET
ajst-20221	32	88	normal	normal	ADJ
ajst-20221	32	89	plot	plot	NOUN
ajst-20221	32	90	,	,	PUNCT
ajst-20221	32	91	this	this	DET
ajst-20221	32	92	paper	paper	NOUN
ajst-20221	32	93	fine	fine	ADV
ajst-20221	32	94	-	-	PUNCT
ajst-20221	32	95	tuned	tune	VERB
ajst-20221	32	96	the	the	DET
ajst-20221	32	97	back	back	ADJ
ajst-20221	32	98	normal	normal	ADJ
ajst-20221	32	99	generator	generator	NOUN
ajst-20221	32	100	n	n	NOUN
ajst-20221	32	101	back	back	PROPN
ajst-20221	32	102	and	and	CCONJ
ajst-20221	32	103	increased	increase	VERB
ajst-20221	32	104	the	the	DET
ajst-20221	32	105	mrf	mrf	PROPN
ajst-20221	32	106	loss	loss	NOUN
ajst-20221	32	107	[	[	X
ajst-20221	32	108	14	14	NUM
ajst-20221	32	109	]	]	PUNCT
ajst-20221	32	110	,	,	PUNCT
ajst-20221	32	111	as	as	SCONJ
ajst-20221	32	112	shown	show	VERB
ajst-20221	32	113	in	in	ADP
ajst-20221	32	114	formula	formula	NOUN
ajst-20221	32	115	(	(	PUNCT
ajst-20221	32	116	3	3	NUM
ajst-20221	32	117	)	)	PUNCT
ajst-20221	32	118	.	.	PUNCT
ajst-20221	33	1	n	n	PROPN
ajst-20221	33	2	pixel	pixel	PROPN
ajst-20221	33	3	vgg	vgg	PROPN
ajst-20221	33	4	vgg	vgg	PROPN
ajst-20221	33	5	msf	msf	PROPN
ajst-20221	33	6	msf	msf	PROPN
ajst-20221	33	7			PROPN
ajst-20221	33	8			VERB
ajst-20221	33	9			ADJ
ajst-20221	33	10			NOUN
ajst-20221	33	11			NOUN
ajst-20221	33	12			NOUN
ajst-20221	33	13	(	(	PUNCT
ajst-20221	33	14	3	3	NUM
ajst-20221	33	15	)	)	PUNCT
ajst-20221	33	16	in	in	ADP
ajst-20221	33	17	formula	formula	NOUN
ajst-20221	33	18	(	(	PUNCT
ajst-20221	33	19	3	3	NUM
ajst-20221	33	20	)	)	PUNCT
ajst-20221	33	21	,	,	PUNCT
ajst-20221	33	22	c	c	PROPN
ajst-20221	33	23	c	c	PROPN
ajst-20221	33	24	pixel	pixel	PROPN
ajst-20221	33	25	v	v	ADP
ajst-20221	33	26	v	v	PROPN
ajst-20221	33	27	ˆ	ˆ	PROPN
ajst-20221	33	28			SYM
ajst-20221	33	29			NOUN
ajst-20221	33	30			NOUN
ajst-20221	33	31	,	,	PUNCT
ajst-20221	33	32	where	where	SCONJ
ajst-20221	33	33	v={front	v={front	NOUN
ajst-20221	33	34	,	,	PUNCT
ajst-20221	33	35	back	back	ADV
ajst-20221	33	36	}	}	PUNCT
ajst-20221	33	37	,	,	PUNCT
ajst-20221	33	38	only	only	ADV
ajst-20221	33	39	the	the	DET
ajst-20221	33	40	obtained	obtain	VERB
ajst-20221	33	41	normal	normal	ADJ
ajst-20221	33	42	line	line	NOUN
ajst-20221	33	43	maps	map	NOUN
ajst-20221	33	44	pixel	pixel	ADV
ajst-20221	33	45	is	be	AUX
ajst-20221	33	46	very	very	ADV
ajst-20221	33	47	fuzzy	fuzzy	ADJ
ajst-20221	33	48	,	,	PUNCT
ajst-20221	33	49	adding	add	VERB
ajst-20221	33	50	the	the	DET
ajst-20221	33	51	perception	perception	NOUN
ajst-20221	33	52	loss	loss	NOUN
ajst-20221	33	53	containing	contain	VERB
ajst-20221	33	54	high	high	ADJ
ajst-20221	33	55	-	-	PUNCT
ajst-20221	33	56	level	level	NOUN
ajst-20221	33	57	network	network	NOUN
ajst-20221	33	58	feature	feature	NOUN
ajst-20221	33	59	information	information	NOUN
ajst-20221	33	60	vgg	vgg	PRON
ajst-20221	33	61	helps	help	VERB
ajst-20221	33	62	to	to	PART
ajst-20221	33	63	restore	restore	VERB
ajst-20221	33	64	the	the	DET
ajst-20221	33	65	normal	normal	ADJ
ajst-20221	33	66	line	line	NOUN
ajst-20221	33	67	graph	graph	NOUN
ajst-20221	33	68	details	detail	NOUN
ajst-20221	33	69	.	.	PUNCT
ajst-20221	34	1	in	in	ADP
ajst-20221	34	2	addition	addition	NOUN
ajst-20221	34	3	,	,	PUNCT
ajst-20221	34	4	in	in	ADP
ajst-20221	34	5	order	order	NOUN
ajst-20221	34	6	to	to	PART
ajst-20221	34	7	accurately	accurately	ADV
ajst-20221	34	8	estimate	estimate	VERB
ajst-20221	34	9	the	the	DET
ajst-20221	34	10	smpl	smpl	NOUN
ajst-20221	34	11	-	-	PUNCT
ajst-20221	34	12	x	x	NOUN
ajst-20221	34	13	mesh	mesh	NOUN
ajst-20221	34	14	3	3	NUM
ajst-20221	34	15	(	(	PUNCT
ajst-20221	34	16	,	,	PUNCT
ajst-20221	34	17	)	)	PUNCT
ajst-20221	34	18	n	n	X
ajst-20221	34	19			PROPN
ajst-20221	34	20			PROPN
ajst-20221	34	21			PROPN
ajst-20221	34	22	from	from	ADP
ajst-20221	34	23	the	the	DET
ajst-20221	34	24	image	image	NOUN
ajst-20221	34	25			PROPN
ajst-20221	34	26	,	,	PUNCT
ajst-20221	34	27	this	this	DET
ajst-20221	34	28	paper	paper	NOUN
ajst-20221	34	29	uses	use	VERB
ajst-20221	34	30	pixie[15	pixie[15	NOUN
ajst-20221	34	31	]	]	PUNCT
ajst-20221	34	32	to	to	PART
ajst-20221	34	33	obtain	obtain	VERB
ajst-20221	34	34	better	well	ADJ
ajst-20221	34	35	mesh	mesh	NOUN
ajst-20221	34	36	alignment	alignment	NOUN
ajst-20221	34	37	with	with	ADP
ajst-20221	34	38	the	the	DET
ajst-20221	34	39	image	image	NOUN
ajst-20221	34	40	.	.	PUNCT
ajst-20221	35	1	specifically	specifically	ADV
ajst-20221	35	2	,	,	PUNCT
ajst-20221	35	3	the	the	DET
ajst-20221	35	4	shape	shape	NOUN
ajst-20221	35	5	parameters	parameter	NOUN
ajst-20221	35	6			PROPN
ajst-20221	35	7	,	,	PUNCT
ajst-20221	35	8	pose	pose	VERB
ajst-20221	35	9	parameters	parameter	NOUN
ajst-20221	35	10			X
ajst-20221	35	11	,	,	PUNCT
ajst-20221	35	12	and	and	CCONJ
ajst-20221	35	13	translation	translation	NOUN
ajst-20221	35	14	parameters	parameter	NOUN
ajst-20221	35	15	t	t	PROPN
ajst-20221	35	16	of	of	ADP
ajst-20221	35	17	smpl	smpl	NOUN
ajst-20221	35	18	-	-	PUNCT
ajst-20221	35	19	x	x	NOUN
ajst-20221	35	20	are	be	AUX
ajst-20221	35	21	optimized	optimize	VERB
ajst-20221	35	22	to	to	PART
ajst-20221	35	23	minimize	minimize	VERB
ajst-20221	35	24	:	:	PUNCT
ajst-20221	35	25			NOUN
ajst-20221	35	26	smpl	smpl	NOUN
ajst-20221	35	27	-	-	PUNCT
ajst-20221	35	28	x	x	SYM
ajst-20221	35	29	n_diff	n_diff	NOUN
ajst-20221	35	30	s_diff	s_diff	NOUN
ajst-20221	35	31	j_diff	j_diff	NOUN
ajst-20221	35	32	,	,	PUNCT
ajst-20221	35	33	,	,	PUNCT
ajst-20221	35	34	min	min	PROPN
ajst-20221	35	35	t	t	NOUN
ajst-20221	35	36			PROPN
ajst-20221	35	37			PROPN
ajst-20221	35	38			PUNCT
ajst-20221	35	39			ADJ
ajst-20221	35	40			NOUN
ajst-20221	35	41			NOUN
ajst-20221	35	42			NOUN
ajst-20221	35	43	(	(	PUNCT
ajst-20221	35	44	4	4	NUM
ajst-20221	35	45	)	)	PUNCT
ajst-20221	35	46	b	b	NOUN
ajst-20221	35	47	c	c	PROPN
ajst-20221	35	48	n_diff	n_diff	PROPN
ajst-20221	35	49	ˆ	ˆ	PROPN
ajst-20221	35	50			SYM
ajst-20221	35	51			PROPN
ajst-20221	35	52			PROPN
ajst-20221	35	53	(	(	PUNCT
ajst-20221	35	54	5	5	NUM
ajst-20221	35	55	)	)	PUNCT
ajst-20221	35	56	b	b	NOUN
ajst-20221	35	57	c	c	NOUN
ajst-20221	35	58	s_diff	s_diff	NOUN
ajst-20221	35	59	ˆ	ˆ	NOUN
ajst-20221	35	60			SYM
ajst-20221	35	61			NOUN
ajst-20221	35	62			NOUN
ajst-20221	35	63	(	(	PUNCT
ajst-20221	35	64	6	6	NUM
ajst-20221	35	65	)	)	PUNCT
ajst-20221	35	66			NOUN
ajst-20221	36	1	_	_	PRON
ajst-20221	36	2	diff	diff	NOUN
ajst-20221	36	3	c	c	PROPN
ajst-20221	36	4	j_diff	j_diff	PROPN
ajst-20221	36	5	b	b	PROPN
ajst-20221	36	6	j	j	PROPN
ajst-20221	36	7			NOUN
ajst-20221	36	8			PROPN
ajst-20221	36	9			PROPN
ajst-20221	36	10	(	(	PUNCT
ajst-20221	36	11	7	7	NUM
ajst-20221	36	12	)	)	PUNCT
ajst-20221	36	13	in	in	ADP
ajst-20221	36	14	formula	formula	NOUN
ajst-20221	36	15	(	(	PUNCT
ajst-20221	36	16	4	4	NUM
ajst-20221	36	17	)	)	PUNCT
ajst-20221	36	18	,	,	PUNCT
ajst-20221	36	19	n_diff	n_diff	PROPN
ajst-20221	36	20	is	be	AUX
ajst-20221	36	21	the	the	DET
ajst-20221	36	22	l1	l1	PROPN
ajst-20221	36	23	loss	loss	NOUN
ajst-20221	36	24	of	of	ADP
ajst-20221	36	25	the	the	DET
ajst-20221	36	26	normal	normal	ADJ
ajst-20221	36	27	map	map	NOUN
ajst-20221	36	28	;	;	PUNCT
ajst-20221	36	29	s_diff	s_diff	NOUN
ajst-20221	36	30	is	be	AUX
ajst-20221	36	31	the	the	DET
ajst-20221	36	32	l1	l1	PROPN
ajst-20221	36	33	loss	loss	NOUN
ajst-20221	36	34	between	between	ADP
ajst-20221	36	35	contours	contour	NOUN
ajst-20221	36	36	;	;	PUNCT
ajst-20221	36	37	j_diff	j_diff	PROPN
ajst-20221	36	38	is	be	AUX
ajst-20221	36	39	the	the	DET
ajst-20221	36	40	l2	l2	NOUN
ajst-20221	36	41	joint	joint	ADJ
ajst-20221	36	42	loss	loss	NOUN
ajst-20221	36	43	between	between	ADP
ajst-20221	36	44	2d	2d	NUM
ajst-20221	36	45	joint	joint	ADJ
ajst-20221	36	46	b	b	VERB
ajst-20221	36	47	reprojected	reprojecte	VERB
ajst-20221	36	48	by	by	ADP
ajst-20221	36	49	b	b	NOUN
ajst-20221	36	50	and	and	CCONJ
ajst-20221	36	51	2d	2d	NUM
ajst-20221	36	52	landmarks	landmark	NOUN
ajst-20221	36	53	d	d	X
ajst-20221	36	54	c	c	PROPN
ajst-20221	36	55	,	,	PUNCT
ajst-20221	36	56	which	which	PRON
ajst-20221	36	57	can	can	AUX
ajst-20221	36	58	be	be	AUX
ajst-20221	36	59	estimated	estimate	VERB
ajst-20221	36	60	by	by	ADP
ajst-20221	36	61	2d	2d	PROPN
ajst-20221	36	62	pose	pose	VERB
ajst-20221	36	63	from	from	ADP
ajst-20221	36	64	rgb	rgb	PROPN
ajst-20221	36	65	images	image	NOUN
ajst-20221	36	66	.	.	PUNCT
ajst-20221	37	1	in	in	ADP
ajst-20221	37	2	the	the	DET
ajst-20221	37	3	experiment	experiment	NOUN
ajst-20221	37	4	,	,	PUNCT
ajst-20221	37	5	set	set	VERB
ajst-20221	37	6	_	_	PRON
ajst-20221	37	7	diff	diff	NOUN
ajst-20221	37	8	5.0j	5.0j	PROPN
ajst-20221	37	9			PROPN
ajst-20221	37	10	,	,	PUNCT
ajst-20221	37	11	however	however	ADV
ajst-20221	37	12	,	,	PUNCT
ajst-20221	37	13	if	if	SCONJ
ajst-20221	37	14	the	the	DET
ajst-20221	37	15	overlap	overlap	NOUN
ajst-20221	37	16	ratio	ratio	NOUN
ajst-20221	37	17	between	between	ADP
ajst-20221	37	18	the	the	DET
ajst-20221	37	19	clothing	clothing	NOUN
ajst-20221	37	20	mask	mask	NOUN
ajst-20221	37	21	and	and	CCONJ
ajst-20221	37	22	the	the	DET
ajst-20221	37	23	body	body	NOUN
ajst-20221	37	24	mask	mask	NOUN
ajst-20221	37	25	is	be	AUX
ajst-20221	37	26	less	less	ADJ
ajst-20221	37	27	than	than	ADP
ajst-20221	37	28	0.5	0.5	NUM
ajst-20221	37	29	,	,	PUNCT
ajst-20221	37	30	it	it	PRON
ajst-20221	37	31	means	mean	VERB
ajst-20221	37	32	that	that	SCONJ
ajst-20221	37	33	the	the	DET
ajst-20221	37	34	human	human	NOUN
ajst-20221	37	35	is	be	AUX
ajst-20221	37	36	wearing	wear	VERB
ajst-20221	37	37	loose	loose	ADJ
ajst-20221	37	38	clothing	clothing	NOUN
ajst-20221	37	39	.	.	PUNCT
ajst-20221	38	1	in	in	ADP
ajst-20221	38	2	this	this	DET
ajst-20221	38	3	case	case	NOUN
ajst-20221	38	4	,	,	PUNCT
ajst-20221	38	5	the	the	DET
ajst-20221	38	6	2d	2d	NUM
ajst-20221	38	7	joint	joint	NOUN
ajst-20221	38	8	should	should	AUX
ajst-20221	38	9	be	be	AUX
ajst-20221	38	10	trusted	trust	VERB
ajst-20221	38	11	more	more	ADV
ajst-20221	38	12	and	and	CCONJ
ajst-20221	38	13	_	_	NOUN
ajst-20221	38	14	diffj	diffj	NOUN
ajst-20221	38	15	will	will	AUX
ajst-20221	38	16	be	be	AUX
ajst-20221	38	17	increased	increase	VERB
ajst-20221	38	18	to	to	ADP
ajst-20221	38	19	50.0	50.0	NUM
ajst-20221	38	20	.	.	PUNCT
ajst-20221	39	1	similarly	similarly	ADV
ajst-20221	39	2	,	,	PUNCT
ajst-20221	39	3	occlusion	occlusion	NOUN
ajst-20221	39	4	occurs	occur	VERB
ajst-20221	39	5	when	when	SCONJ
ajst-20221	39	6	the	the	DET
ajst-20221	39	7	overlap	overlap	NOUN
ajst-20221	39	8	between	between	ADP
ajst-20221	39	9	the	the	DET
ajst-20221	39	10	body	body	NOUN
ajst-20221	39	11	mask	mask	NOUN
ajst-20221	39	12	inside	inside	ADP
ajst-20221	39	13	the	the	DET
ajst-20221	39	14	clothing	clothing	NOUN
ajst-20221	39	15	mask	mask	NOUN
ajst-20221	39	16	and	and	CCONJ
ajst-20221	39	17	the	the	DET
ajst-20221	39	18	full	full	ADJ
ajst-20221	39	19	body	body	NOUN
ajst-20221	39	20	mask	mask	NOUN
ajst-20221	39	21	is	be	AUX
ajst-20221	39	22	less	less	ADJ
ajst-20221	39	23	than	than	ADP
ajst-20221	39	24	0.98	0.98	NUM
ajst-20221	39	25	.	.	PUNCT
ajst-20221	40	1	in	in	ADP
ajst-20221	40	2	this	this	DET
ajst-20221	40	3	case	case	NOUN
ajst-20221	40	4	,	,	PUNCT
ajst-20221	40	5	_	_	DET
ajst-20221	40	6	diff	diff	NOUN
ajst-20221	40	7	0.0j	0.0j	PROPN
ajst-20221	40	8			PROPN
ajst-20221	40	9	will	will	AUX
ajst-20221	40	10	be	be	AUX
ajst-20221	40	11	set	set	VERB
ajst-20221	40	12	to	to	PART
ajst-20221	40	13	avoid	avoid	VERB
ajst-20221	40	14	situations	situation	NOUN
ajst-20221	40	15	where	where	SCONJ
ajst-20221	40	16	limbs	limb	NOUN
ajst-20221	40	17	selfintersect	selfintersect	VERB
ajst-20221	40	18	after	after	ADP
ajst-20221	40	19	posture	posture	NOUN
ajst-20221	40	20	optimization	optimization	NOUN
ajst-20221	40	21	.	.	PUNCT
ajst-20221	41	1	the	the	DET
ajst-20221	41	2	normal	normal	ADJ
ajst-20221	41	3	map	map	NOUN
ajst-20221	41	4	b	b	PROPN
ajst-20221	41	5	rendered	render	VERB
ajst-20221	41	6	from	from	ADP
ajst-20221	41	7	the	the	DET
ajst-20221	41	8	optimized	optimize	VERB
ajst-20221	41	9	smpl	smpl	NOUN
ajst-20221	41	10	-	-	PUNCT
ajst-20221	41	11	x	x	NOUN
ajst-20221	41	12	grid	grid	NOUN
ajst-20221	41	13	is	be	AUX
ajst-20221	41	14	provided	provide	VERB
ajst-20221	41	15	to	to	ADP
ajst-20221	41	16	the	the	DET
ajst-20221	41	17	network	network	NOUN
ajst-20221	41	18	n	n	PROPN
ajst-20221	41	19	.	.	PUNCT
ajst-20221	42	1	the	the	DET
ajst-20221	42	2	improved	improve	VERB
ajst-20221	42	3	smpl	smpl	NOUN
ajst-20221	42	4	-	-	PUNCT
ajst-20221	42	5	x	x	NOUN
ajst-20221	42	6	guides	guide	NOUN
ajst-20221	42	7	n	n	VERB
ajst-20221	42	8	through	through	ADP
ajst-20221	42	9	a	a	DET
ajst-20221	42	10	grid	grid	NOUN
ajst-20221	42	11	-	-	PUNCT
ajst-20221	42	12	image	image	NOUN
ajst-20221	42	13	alignment	alignment	NOUN
ajst-20221	42	14	network	network	NOUN
ajst-20221	42	15	to	to	PART
ajst-20221	42	16	infer	infer	VERB
ajst-20221	42	17	a	a	DET
ajst-20221	42	18	more	more	ADV
ajst-20221	42	19	reliable	reliable	ADJ
ajst-20221	42	20	and	and	CCONJ
ajst-20221	42	21	detailed	detailed	ADJ
ajst-20221	42	22	clothed	clothed	ADJ
ajst-20221	42	23	body	body	NOUN
ajst-20221	42	24	normal	normal	ADJ
ajst-20221	42	25	c̂	c̂	NOUN
ajst-20221	42	26	during	during	ADP
ajst-20221	42	27	the	the	DET
ajst-20221	42	28	inference	inference	NOUN
ajst-20221	42	29	process	process	NOUN
ajst-20221	42	30	,	,	PUNCT
ajst-20221	42	31	this	this	DET
ajst-20221	42	32	paper	paper	NOUN
ajst-20221	42	33	alternates	alternate	NOUN
ajst-20221	42	34	between	between	ADP
ajst-20221	42	35	(	(	PUNCT
ajst-20221	42	36	1	1	X
ajst-20221	42	37	)	)	PUNCT
ajst-20221	42	38	refining	refine	VERB
ajst-20221	42	39	the	the	DET
ajst-20221	42	40	smpl	smpl	NOUN
ajst-20221	42	41	-	-	PUNCT
ajst-20221	42	42	x	x	SYM
ajst-20221	42	43	grid	grid	NOUN
ajst-20221	42	44	using	use	VERB
ajst-20221	42	45	inferred	infer	VERB
ajst-20221	42	46	normal	normal	ADJ
ajst-20221	42	47	maps	map	NOUN
ajst-20221	42	48	c̂	c̂	NOUN
ajst-20221	42	49	and	and	CCONJ
ajst-20221	42	50	(	(	PUNCT
ajst-20221	42	51	2	2	X
ajst-20221	42	52	)	)	PUNCT
ajst-20221	42	53	re	re	VERB
ajst-20221	42	54	-	-	VERB
ajst-20221	42	55	inferring	infer	VERB
ajst-20221	42	56	c̂	c̂	NOUN
ajst-20221	42	57	using	use	VERB
ajst-20221	42	58	refined	refined	ADJ
ajst-20221	42	59	smpl	smpl	NOUN
ajst-20221	42	60	-	-	PUNCT
ajst-20221	42	61	x.	x.	NOUN
ajst-20221	42	62	this	this	DET
ajst-20221	42	63	feedback	feedback	NOUN
ajst-20221	42	64	loop	loop	NOUN
ajst-20221	42	65	enables	enable	VERB
ajst-20221	42	66	a	a	DET
ajst-20221	42	67	more	more	ADV
ajst-20221	42	68	reliable	reliable	ADJ
ajst-20221	42	69	positive	positive	ADJ
ajst-20221	42	70	/	/	SYM
ajst-20221	42	71	negative	negative	ADJ
ajst-20221	42	72	dressing	dressing	NOUN
ajst-20221	42	73	of	of	ADP
ajst-20221	42	74	the	the	DET
ajst-20221	42	75	human	human	ADJ
ajst-20221	42	76	body	body	NOUN
ajst-20221	42	77	normal	normal	ADJ
ajst-20221	42	78	.	.	PUNCT
ajst-20221	43	1	2.2	2.2	NUM
ajst-20221	43	2	.	.	PUNCT
ajst-20221	44	1	implicit	implicit	ADJ
ajst-20221	44	2	spatial	spatial	ADJ
ajst-20221	44	3	reconstruction	reconstruction	NOUN
ajst-20221	44	4	.	.	PUNCT
ajst-20221	45	1	the	the	DET
ajst-20221	45	2	implicit	implicit	ADJ
ajst-20221	45	3	symbolic	symbolic	ADJ
ajst-20221	45	4	distance	distance	NOUN
ajst-20221	45	5	field	field	NOUN
ajst-20221	45	6	is	be	AUX
ajst-20221	45	7	an	an	DET
ajst-20221	45	8	implicit	implicit	ADJ
ajst-20221	45	9	representation	representation	NOUN
ajst-20221	45	10	used	use	VERB
ajst-20221	45	11	to	to	PART
ajst-20221	45	12	represent	represent	VERB
ajst-20221	45	13	the	the	DET
ajst-20221	45	14	3d	3d	NUM
ajst-20221	45	15	shape	shape	NOUN
ajst-20221	45	16	of	of	ADP
ajst-20221	45	17	the	the	DET
ajst-20221	45	18	human	human	ADJ
ajst-20221	45	19	body	body	NOUN
ajst-20221	45	20	in	in	ADP
ajst-20221	45	21	the	the	DET
ajst-20221	45	22	standard	standard	ADJ
ajst-20221	45	23	pose	pose	NOUN
ajst-20221	45	24	space	space	NOUN
ajst-20221	45	25	,	,	PUNCT
ajst-20221	45	26	while	while	SCONJ
ajst-20221	45	27	encoding	encode	VERB
ajst-20221	45	28	the	the	DET
ajst-20221	45	29	distance	distance	NOUN
ajst-20221	45	30	information	information	NOUN
ajst-20221	45	31	from	from	ADP
ajst-20221	45	32	each	each	DET
ajst-20221	45	33	point	point	NOUN
ajst-20221	45	34	in	in	ADP
ajst-20221	45	35	the	the	DET
ajst-20221	45	36	space	space	NOUN
ajst-20221	45	37	to	to	ADP
ajst-20221	45	38	the	the	DET
ajst-20221	45	39	human	human	ADJ
ajst-20221	45	40	surface	surface	NOUN
ajst-20221	45	41	.	.	PUNCT
ajst-20221	46	1	it	it	PRON
ajst-20221	46	2	can	can	AUX
ajst-20221	46	3	better	well	ADV
ajst-20221	46	4	handle	handle	VERB
ajst-20221	46	5	topological	topological	ADJ
ajst-20221	46	6	changes	change	NOUN
ajst-20221	46	7	and	and	CCONJ
ajst-20221	46	8	adapt	adapt	VERB
ajst-20221	46	9	to	to	ADP
ajst-20221	46	10	changes	change	NOUN
ajst-20221	46	11	in	in	ADP
ajst-20221	46	12	human	human	ADJ
ajst-20221	46	13	posture	posture	NOUN
ajst-20221	46	14	,	,	PUNCT
ajst-20221	46	15	especially	especially	ADV
ajst-20221	46	16	when	when	SCONJ
ajst-20221	46	17	dealing	deal	VERB
ajst-20221	46	18	with	with	ADP
ajst-20221	46	19	clothed	clothed	ADJ
ajst-20221	46	20	human	human	ADJ
ajst-20221	46	21	bodies	body	NOUN
ajst-20221	46	22	.	.	PUNCT
ajst-20221	47	1	first	first	ADV
ajst-20221	47	2	,	,	PUNCT
ajst-20221	47	3	the	the	DET
ajst-20221	47	4	three	three	NUM
ajst-20221	47	5	-	-	PUNCT
ajst-20221	47	6	dimensional	dimensional	ADJ
ajst-20221	47	7	space	space	NOUN
ajst-20221	47	8	is	be	AUX
ajst-20221	47	9	discretized	discretize	VERB
ajst-20221	47	10	,	,	PUNCT
ajst-20221	47	11	and	and	CCONJ
ajst-20221	47	12	then	then	ADV
ajst-20221	47	13	the	the	DET
ajst-20221	47	14	distance	distance	NOUN
ajst-20221	47	15	between	between	ADP
ajst-20221	47	16	each	each	DET
ajst-20221	47	17	point	point	NOUN
ajst-20221	47	18	and	and	CCONJ
ajst-20221	47	19	the	the	DET
ajst-20221	47	20	surface	surface	NOUN
ajst-20221	47	21	of	of	ADP
ajst-20221	47	22	the	the	DET
ajst-20221	47	23	object	object	NOUN
ajst-20221	47	24	is	be	AUX
ajst-20221	47	25	calculated	calculate	VERB
ajst-20221	47	26	.	.	PUNCT
ajst-20221	48	1	meanwhile	meanwhile	ADV
ajst-20221	48	2	,	,	PUNCT
ajst-20221	48	3	in	in	ADP
ajst-20221	48	4	order	order	NOUN
ajst-20221	48	5	to	to	PART
ajst-20221	48	6	normalize	normalize	VERB
ajst-20221	48	7	this	this	DET
ajst-20221	48	8	distance	distance	NOUN
ajst-20221	48	9	,	,	PUNCT
ajst-20221	48	10	the	the	DET
ajst-20221	48	11	algorithm	algorithm	NOUN
ajst-20221	48	12	will	will	AUX
ajst-20221	48	13	normalize	normalize	VERB
ajst-20221	48	14	or	or	CCONJ
ajst-20221	48	15	truncate	truncate	VERB
ajst-20221	48	16	the	the	DET
ajst-20221	48	17	distance	distance	NOUN
ajst-20221	48	18	that	that	PRON
ajst-20221	48	19	is	be	AUX
ajst-20221	48	20	too	too	ADV
ajst-20221	48	21	large	large	ADJ
ajst-20221	48	22	.	.	PUNCT
ajst-20221	49	1	the	the	DET
ajst-20221	49	2	distance	distance	NOUN
ajst-20221	49	3	between	between	ADP
ajst-20221	49	4	the	the	DET
ajst-20221	49	5	points	point	NOUN
ajst-20221	49	6	inside	inside	ADP
ajst-20221	49	7	the	the	DET
ajst-20221	49	8	object	object	NOUN
ajst-20221	49	9	is	be	AUX
ajst-20221	49	10	positive	positive	ADJ
ajst-20221	49	11	,	,	PUNCT
ajst-20221	49	12	and	and	CCONJ
ajst-20221	49	13	the	the	DET
ajst-20221	49	14	distance	distance	NOUN
ajst-20221	49	15	between	between	ADP
ajst-20221	49	16	the	the	DET
ajst-20221	49	17	points	point	NOUN
ajst-20221	49	18	outside	outside	ADP
ajst-20221	49	19	the	the	DET
ajst-20221	49	20	object	object	NOUN
ajst-20221	49	21	and	and	CCONJ
ajst-20221	49	22	the	the	DET
ajst-20221	49	23	surface	surface	NOUN
ajst-20221	49	24	is	be	AUX
ajst-20221	49	25	negative	negative	ADJ
ajst-20221	49	26	.	.	PUNCT
ajst-20221	50	1	for	for	ADP
ajst-20221	50	2	surface	surface	NOUN
ajst-20221	50	3	reconstruction	reconstruction	NOUN
ajst-20221	50	4	,	,	PUNCT
ajst-20221	50	5	the	the	DET
ajst-20221	50	6	algorithm	algorithm	NOUN
ajst-20221	50	7	is	be	AUX
ajst-20221	50	8	represented	represent	VERB
ajst-20221	50	9	by	by	ADP
ajst-20221	50	10	the	the	DET
ajst-20221	50	11	isosurface	isosurface	NOUN
ajst-20221	50	12	of	of	ADP
ajst-20221	50	13	continuous	continuous	ADJ
ajst-20221	50	14	3d	3d	PROPN
ajst-20221	50	15	symbolic	symbolic	ADJ
ajst-20221	50	16	distance	distance	NOUN
ajst-20221	50	17	field	field	NOUN
ajst-20221	50	18	,	,	PUNCT
ajst-20221	50	19	as	as	SCONJ
ajst-20221	50	20	shown	show	VERB
ajst-20221	50	21	in	in	ADP
ajst-20221	50	22	formula	formula	NOUN
ajst-20221	50	23	(	(	PUNCT
ajst-20221	50	24	8)	8)	NUM
ajst-20221	50	25	.	.	PUNCT
ajst-20221	50	26	marching	marching	NOUN
ajst-20221	50	27	cubes	cube	NOUN
ajst-20221	50	28	algorithm	algorithm	NOUN
ajst-20221	50	29	can	can	AUX
ajst-20221	50	30	be	be	AUX
ajst-20221	50	31	used	use	VERB
ajst-20221	50	32	to	to	PART
ajst-20221	50	33	extract	extract	VERB
ajst-20221	50	34	the	the	DET
ajst-20221	50	35	isosurface	isosurface	NOUN
ajst-20221	50	36	of	of	ADP
ajst-20221	50	37	the	the	DET
ajst-20221	50	38	current	current	ADJ
ajst-20221	50	39	215	215	NUM
ajst-20221	50	40	implicit	implicit	ADJ
ajst-20221	50	41	symbolic	symbolic	ADJ
ajst-20221	50	42	distance	distance	NOUN
ajst-20221	50	43	field	field	NOUN
ajst-20221	50	44	,	,	PUNCT
ajst-20221	50	45	so	so	SCONJ
ajst-20221	50	46	as	as	SCONJ
ajst-20221	50	47	to	to	PART
ajst-20221	50	48	obtain	obtain	VERB
ajst-20221	50	49	the	the	DET
ajst-20221	50	50	continuous	continuous	ADJ
ajst-20221	50	51	surface	surface	NOUN
ajst-20221	50	52	of	of	ADP
ajst-20221	50	53	the	the	DET
ajst-20221	50	54	object	object	NOUN
ajst-20221	50	55	.	.	PUNCT
ajst-20221	51	1	among	among	ADP
ajst-20221	51	2	them	they	PRON
ajst-20221	51	3	,	,	PUNCT
ajst-20221	51	4	3p	3p	PROPN
ajst-20221	51	5	0	0	NUM
ajst-20221	51	6	,	,	PUNCT
ajst-20221	51	7	if	if	SCONJ
ajst-20221	51	8	is	be	AUX
ajst-20221	51	9	inside	inside	ADP
ajst-20221	51	10	mesh	mesh	NOUN
ajst-20221	51	11	surface	surface	NOUN
ajst-20221	51	12	(	(	PUNCT
ajst-20221	51	13	)	)	PUNCT
ajst-20221	51	14	.0	.0	NUM
ajst-20221	51	15	,	,	PUNCT
ajst-20221	51	16	if	if	SCONJ
ajst-20221	51	17	on	on	ADP
ajst-20221	51	18	the	the	DET
ajst-20221	51	19	mesh	mesh	NOUN
ajst-20221	51	20	surface	surface	NOUN
ajst-20221	51	21	0,otherwise	0,otherwise	NUM
ajst-20221	52	1	p	p	X
ajst-20221	52	2	f	f	X
ajst-20221	52	3	p	p	PROPN
ajst-20221	52	4	p	p	X
ajst-20221	52	5			NOUN
ajst-20221	52	6			PROPN
ajst-20221	52	7			PROPN
ajst-20221	52	8			NUM
ajst-20221	52	9			PROPN
ajst-20221	52	10	(	(	PUNCT
ajst-20221	52	11	8)	8)	NUM
ajst-20221	52	12	in	in	ADP
ajst-20221	52	13	this	this	DET
ajst-20221	52	14	section	section	NOUN
ajst-20221	52	15	,	,	PUNCT
ajst-20221	52	16	a	a	DET
ajst-20221	52	17	standard	standard	ADJ
ajst-20221	52	18	template	template	NOUN
ajst-20221	52	19	shape	shape	NOUN
ajst-20221	52	20	p	p	ADJ
ajst-20221	52	21	as	as	ADP
ajst-20221	52	22	the	the	DET
ajst-20221	52	23	zero	zero	NUM
ajst-20221	52	24	isosurface	isosurface	NOUN
ajst-20221	52	25	of	of	ADP
ajst-20221	52	26	the	the	DET
ajst-20221	52	27	symbolic	symbolic	ADJ
ajst-20221	52	28	distance	distance	NOUN
ajst-20221	52	29	field	field	NOUN
ajst-20221	52	30	.	.	PUNCT
ajst-20221	53	1	the	the	DET
ajst-20221	53	2	isosurface	isosurface	NOUN
ajst-20221	53	3	of	of	ADP
ajst-20221	53	4	the	the	DET
ajst-20221	53	5	symbolic	symbolic	ADJ
ajst-20221	53	6	distance	distance	NOUN
ajst-20221	53	7	field	field	NOUN
ajst-20221	53	8	is	be	AUX
ajst-20221	53	9	represented	represent	VERB
ajst-20221	53	10	by	by	ADP
ajst-20221	53	11	a	a	DET
ajst-20221	53	12	multilayer	multilayer	ADJ
ajst-20221	53	13	perceptron	perceptron	NOUN
ajst-20221	53	14	(	(	PUNCT
ajst-20221	53	15	mlp	mlp	PROPN
ajst-20221	53	16	)	)	PUNCT
ajst-20221	53	17	.	.	PUNCT
ajst-20221	54	1	given	give	VERB
ajst-20221	54	2	the	the	DET
ajst-20221	54	3	predicted	predict	VERB
ajst-20221	54	4	clothed	clothe	VERB
ajst-20221	54	5	body	body	NOUN
ajst-20221	54	6	normal	normal	ADJ
ajst-20221	54	7	maps	map	NOUN
ajst-20221	54	8	c̂	c̂	NOUN
ajst-20221	54	9	and	and	CCONJ
ajst-20221	54	10	smpl	smpl	NOUN
ajst-20221	54	11	-	-	PUNCT
ajst-20221	54	12	x	x	NOUN
ajst-20221	54	13	-	-	ADJ
ajst-20221	54	14	body	body	NOUN
ajst-20221	54	15	mesh	mesh	NOUN
ajst-20221	54	16			NUM
ajst-20221	54	17	,	,	PUNCT
ajst-20221	54	18	this	this	DET
ajst-20221	54	19	paper	paper	NOUN
ajst-20221	54	20	regresses	regress	VERB
ajst-20221	54	21	the	the	DET
ajst-20221	54	22	implicit	implicit	ADJ
ajst-20221	54	23	3d	3d	NUM
ajst-20221	54	24	surface	surface	NOUN
ajst-20221	54	25	of	of	ADP
ajst-20221	54	26	the	the	DET
ajst-20221	54	27	clothed	clothed	ADJ
ajst-20221	54	28	person	person	NOUN
ajst-20221	54	29	based	base	VERB
ajst-20221	54	30	on	on	ADP
ajst-20221	54	31	local	local	ADJ
ajst-20221	54	32	features	feature	NOUN
ajst-20221	54	33	p	p	ADJ
ajst-20221	54	34	b	b	X
ajst-20221	54	35	c	c	PROPN
ajst-20221	54	36	p	p	X
ajst-20221	54	37	s	s	PROPN
ajst-20221	54	38	n	n	PRON
ajst-20221	54	39	n(p	n(p	NUM
ajst-20221	54	40	)	)	PUNCT
ajst-20221	54	41	,	,	PUNCT
ajst-20221	54	42	(	(	PUNCT
ajst-20221	54	43	p	p	X
ajst-20221	54	44	)	)	PUNCT
ajst-20221	54	45	,	,	PUNCT
ajst-20221	54	46	(	(	PUNCT
ajst-20221	54	47	p)	p)	PROPN
ajst-20221	54	48			PROPN
ajst-20221	54	49			VERB
ajst-20221	54	50			ADP
ajst-20221	54	51			PROPN
ajst-20221	54	52			PROPN
ajst-20221	55	1			PROPN
ajst-20221	55	2	(	(	PUNCT
ajst-20221	55	3	9	9	NUM
ajst-20221	55	4	)	)	PUNCT
ajst-20221	55	5	in	in	ADP
ajst-20221	55	6	formula	formula	NOUN
ajst-20221	55	7	(	(	PUNCT
ajst-20221	55	8	9	9	NUM
ajst-20221	55	9	)	)	PUNCT
ajst-20221	55	10	,	,	PUNCT
ajst-20221	55	11	s	s	PROPN
ajst-20221	55	12	is	be	AUX
ajst-20221	55	13	the	the	DET
ajst-20221	55	14	signed	sign	VERB
ajst-20221	55	15	distance	distance	NOUN
ajst-20221	55	16	from	from	ADP
ajst-20221	55	17	the	the	DET
ajst-20221	55	18	query	query	NOUN
ajst-20221	55	19	point	point	NOUN
ajst-20221	55	20	bp	bp	PROPN
ajst-20221	55	21	to	to	ADP
ajst-20221	55	22	the	the	DET
ajst-20221	55	23	nearest	near	ADJ
ajst-20221	55	24	body	body	NOUN
ajst-20221	55	25	point	point	NOUN
ajst-20221	55	26	bp	bp	PROPN
ajst-20221	55	27			PROPN
ajst-20221	55	28	,	,	PUNCT
ajst-20221	55	29	b	b	PROPN
ajst-20221	55	30	n	n	ADV
ajst-20221	55	31	is	be	AUX
ajst-20221	55	32	the	the	DET
ajst-20221	55	33	barycentric	barycentric	ADJ
ajst-20221	55	34	surface	surface	NOUN
ajst-20221	55	35	normal	normal	ADJ
ajst-20221	55	36	of	of	ADP
ajst-20221	55	37	bp	bp	PROPN
ajst-20221	55	38	,	,	PUNCT
ajst-20221	55	39	both	both	PRON
ajst-20221	55	40	of	of	ADP
ajst-20221	55	41	which	which	PRON
ajst-20221	55	42	provide	provide	VERB
ajst-20221	55	43	strong	strong	ADJ
ajst-20221	55	44	regularization	regularization	NOUN
ajst-20221	55	45	for	for	ADP
ajst-20221	55	46	self	self	NOUN
ajst-20221	55	47	-	-	PUNCT
ajst-20221	55	48	occlusion	occlusion	NOUN
ajst-20221	55	49	，	，	PROPN
ajst-20221	55	50	.	.	PUNCT
ajst-20221	56	1	finally	finally	ADV
ajst-20221	56	2	,	,	PUNCT
ajst-20221	56	3	c	c	PROPN
ajst-20221	56	4	n	n	ADV
ajst-20221	56	5	is	be	AUX
ajst-20221	56	6	the	the	DET
ajst-20221	56	7	normal	normal	ADJ
ajst-20221	56	8	vector	vector	NOUN
ajst-20221	56	9	extracted	extract	VERB
ajst-20221	56	10	from	from	ADP
ajst-20221	56	11	c	c	PROPN
ajst-20221	56	12	front̂	front̂	PROPN
ajst-20221	56	13	or	or	CCONJ
ajst-20221	56	14	c	c	PROPN
ajst-20221	56	15	back̂	back̂	NOUN
ajst-20221	56	16	,	,	PUNCT
ajst-20221	56	17	depending	depend	VERB
ajst-20221	56	18	on	on	ADP
ajst-20221	56	19	the	the	DET
ajst-20221	56	20	visibility	visibility	NOUN
ajst-20221	56	21	of	of	ADP
ajst-20221	56	22	bp	bp	PROPN
ajst-20221	56	23	c	c	PROPN
ajst-20221	56	24	b	b	PROPN
ajst-20221	56	25	frontc	frontc	NOUN
ajst-20221	56	26	n	n	ADP
ajst-20221	56	27	c	c	VERB
ajst-20221	56	28	back	back	ADV
ajst-20221	56	29	(	(	PUNCT
ajst-20221	56	30	(	(	PUNCT
ajst-20221	56	31	p	p	NOUN
ajst-20221	56	32	)	)	PUNCT
ajst-20221	56	33	)	)	PUNCT
ajst-20221	56	34	if	if	SCONJ
ajst-20221	56	35	p	p	NOUN
ajst-20221	56	36	is	be	AUX
ajst-20221	56	37	vis	vis	X
ajst-20221	56	38	(	(	PUNCT
ajst-20221	56	39	ˆ	ˆ	NOUN
ajst-20221	56	40	ible	ible	ADJ
ajst-20221	56	41	?	?	PUNCT
ajst-20221	57	1	(	(	PUNCT
ajst-20221	57	2	p	p	X
ajst-20221	57	3	)	)	PUNCT
ajst-20221	57	4	(	(	PUNCT
ajst-20221	57	5	p	p	NOUN
ajst-20221	57	6	)	)	PUNCT
ajst-20221	57	7	)	)	PUNCT
ajst-20221	58	1	el	el	PROPN
ajst-20221	58	2	se,ˆ	se,ˆ	PROPN
ajst-20221	59	1			PROPN
ajst-20221	59	2			PROPN
ajst-20221	59	3			NOUN
ajst-20221	59	4			NUM
ajst-20221	59	5			NOUN
ajst-20221	59	6			PROPN
ajst-20221	59	7			PROPN
ajst-20221	59	8			NOUN
ajst-20221	59	9	(	(	PUNCT
ajst-20221	59	10	10	10	NUM
ajst-20221	59	11	)	)	PUNCT
ajst-20221	59	12	in	in	ADP
ajst-20221	59	13	formula	formula	NOUN
ajst-20221	59	14	(	(	PUNCT
ajst-20221	59	15	10	10	NUM
ajst-20221	59	16	)	)	PUNCT
ajst-20221	59	17	,	,	PUNCT
ajst-20221	59	18	(	(	PUNCT
ajst-20221	59	19	p)	p)	ADV
ajst-20221	59	20	represents	represent	VERB
ajst-20221	59	21	a	a	DET
ajst-20221	59	22	2d	2d	NUM
ajst-20221	59	23	projection	projection	NOUN
ajst-20221	59	24	of	of	ADP
ajst-20221	59	25	a	a	DET
ajst-20221	59	26	3d	3d	NUM
ajst-20221	59	27	point	point	NOUN
ajst-20221	59	28	p.	p.	NOUN
ajst-20221	59	29	it	it	PRON
ajst-20221	59	30	should	should	AUX
ajst-20221	59	31	be	be	AUX
ajst-20221	59	32	noted	note	VERB
ajst-20221	59	33	that	that	SCONJ
ajst-20221	59	34	p	p	ADJ
ajst-20221	59	35	has	have	VERB
ajst-20221	59	36	nothing	nothing	PRON
ajst-20221	59	37	to	to	PART
ajst-20221	59	38	do	do	VERB
ajst-20221	59	39	with	with	ADP
ajst-20221	59	40	global	global	ADJ
ajst-20221	59	41	body	body	NOUN
ajst-20221	59	42	posture	posture	NOUN
ajst-20221	59	43	.	.	PUNCT
ajst-20221	60	1	the	the	DET
ajst-20221	60	2	experimental	experimental	ADJ
ajst-20221	60	3	results	result	NOUN
ajst-20221	60	4	show	show	VERB
ajst-20221	60	5	that	that	SCONJ
ajst-20221	60	6	this	this	PRON
ajst-20221	60	7	is	be	AUX
ajst-20221	60	8	essential	essential	ADJ
ajst-20221	60	9	to	to	PART
ajst-20221	60	10	improve	improve	VERB
ajst-20221	60	11	the	the	DET
ajst-20221	60	12	robustness	robustness	NOUN
ajst-20221	60	13	to	to	ADP
ajst-20221	60	14	the	the	DET
ajst-20221	60	15	transgression	transgression	NOUN
ajst-20221	60	16	pose	pose	VERB
ajst-20221	60	17	and	and	CCONJ
ajst-20221	60	18	to	to	PART
ajst-20221	60	19	enhance	enhance	VERB
ajst-20221	60	20	the	the	DET
ajst-20221	60	21	effectiveness	effectiveness	NOUN
ajst-20221	60	22	of	of	ADP
ajst-20221	60	23	the	the	DET
ajst-20221	60	24	training	training	NOUN
ajst-20221	60	25	data	datum	NOUN
ajst-20221	60	26	.	.	PUNCT
ajst-20221	61	1	this	this	DET
ajst-20221	61	2	paper	paper	NOUN
ajst-20221	61	3	inputs	input	VERB
ajst-20221	61	4	p	p	ADJ
ajst-20221	61	5	into	into	ADP
ajst-20221	61	6	an	an	DET
ajst-20221	61	7	implicit	implicit	ADJ
ajst-20221	61	8	function	function	NOUN
ajst-20221	61	9			PROPN
ajst-20221	61	10	,	,	PUNCT
ajst-20221	61	11	parameterized	parameterized	ADJ
ajst-20221	61	12	by	by	ADP
ajst-20221	61	13	a	a	DET
ajst-20221	61	14	multilayer	multilayer	ADJ
ajst-20221	61	15	perceptron	perceptron	NOUN
ajst-20221	61	16	(	(	PUNCT
ajst-20221	61	17	mlp	mlp	NOUN
ajst-20221	61	18	)	)	PUNCT
ajst-20221	61	19	to	to	PART
ajst-20221	61	20	estimate	estimate	VERB
ajst-20221	61	21	the	the	DET
ajst-20221	61	22	occupancy	occupancy	NOUN
ajst-20221	61	23	at	at	ADP
ajst-20221	61	24	point	point	NOUN
ajst-20221	61	25	p	p	NOUN
ajst-20221	61	26	,	,	PUNCT
ajst-20221	61	27	denoted	denote	VERB
ajst-20221	61	28	as	as	ADP
ajst-20221	61	29	ˆ(p)o	ˆ(p)o	PROPN
ajst-20221	61	30	.	.	PUNCT
ajst-20221	62	1	next	next	ADV
ajst-20221	62	2	,	,	PUNCT
ajst-20221	62	3	a	a	DET
ajst-20221	62	4	fast	fast	ADJ
ajst-20221	62	5	surface	surface	NOUN
ajst-20221	62	6	positioning	positioning	NOUN
ajst-20221	62	7	algorithm	algorithm	NOUN
ajst-20221	62	8	is	be	AUX
ajst-20221	62	9	used	use	VERB
ajst-20221	62	10	to	to	PART
ajst-20221	62	11	extract	extract	VERB
ajst-20221	62	12	the	the	DET
ajst-20221	62	13	mesh	mesh	NOUN
ajst-20221	62	14	from	from	ADP
ajst-20221	62	15	the	the	DET
ajst-20221	62	16	three	three	NUM
ajst-20221	62	17	-	-	PUNCT
ajst-20221	62	18	dimensional	dimensional	ADJ
ajst-20221	62	19	occupancy	occupancy	NOUN
ajst-20221	62	20	inferred	infer	VERB
ajst-20221	62	21	from	from	ADP
ajst-20221	62	22	the	the	DET
ajst-20221	62	23			PROPN
ajst-20221	62	24	.	.	PUNCT
ajst-20221	63	1	2.3	2.3	NUM
ajst-20221	63	2	.	.	PUNCT
ajst-20221	64	1	front	front	ADJ
ajst-20221	64	2	texture	texture	NOUN
ajst-20221	64	3	mapping	map	VERB
ajst-20221	64	4	the	the	DET
ajst-20221	64	5	inference	inference	NOUN
ajst-20221	64	6	of	of	ADP
ajst-20221	64	7	human	human	ADJ
ajst-20221	64	8	surface	surface	NOUN
ajst-20221	64	9	texture	texture	NOUN
ajst-20221	64	10	is	be	AUX
ajst-20221	64	11	to	to	PART
ajst-20221	64	12	realize	realize	VERB
ajst-20221	64	13	the	the	DET
ajst-20221	64	14	inference	inference	NOUN
ajst-20221	64	15	of	of	ADP
ajst-20221	64	16	the	the	DET
ajst-20221	64	17	color	color	NOUN
ajst-20221	64	18	of	of	ADP
ajst-20221	64	19	points	point	NOUN
ajst-20221	64	20	on	on	ADP
ajst-20221	64	21	the	the	DET
ajst-20221	64	22	model	model	NOUN
ajst-20221	64	23	,	,	PUNCT
ajst-20221	64	24	which	which	PRON
ajst-20221	64	25	is	be	AUX
ajst-20221	64	26	determined	determine	VERB
ajst-20221	64	27	by	by	ADP
ajst-20221	64	28	its	its	PRON
ajst-20221	64	29	diffuse	diffuse	ADJ
ajst-20221	64	30	reflection	reflection	NOUN
ajst-20221	64	31	coefficient	coefficient	NOUN
ajst-20221	64	32	.	.	PUNCT
ajst-20221	65	1	the	the	DET
ajst-20221	65	2	goal	goal	NOUN
ajst-20221	65	3	of	of	ADP
ajst-20221	65	4	the	the	DET
ajst-20221	65	5	algorithm	algorithm	NOUN
ajst-20221	65	6	in	in	ADP
ajst-20221	65	7	this	this	DET
ajst-20221	65	8	paper	paper	NOUN
ajst-20221	65	9	is	be	AUX
ajst-20221	65	10	to	to	PART
ajst-20221	65	11	predict	predict	VERB
ajst-20221	65	12	the	the	DET
ajst-20221	65	13	color	color	NOUN
ajst-20221	65	14	value	value	NOUN
ajst-20221	65	15	on	on	ADP
ajst-20221	65	16	the	the	DET
ajst-20221	65	17	human	human	ADJ
ajst-20221	65	18	body	body	NOUN
ajst-20221	65	19	model	model	NOUN
ajst-20221	65	20	,	,	PUNCT
ajst-20221	65	21	which	which	PRON
ajst-20221	65	22	is	be	AUX
ajst-20221	65	23	also	also	ADV
ajst-20221	65	24	the	the	DET
ajst-20221	65	25	rgb	rgb	PROPN
ajst-20221	65	26	value	value	NOUN
ajst-20221	65	27	.	.	PUNCT
ajst-20221	66	1	prediction	prediction	NOUN
ajst-20221	66	2	is	be	AUX
ajst-20221	66	3	a	a	DET
ajst-20221	66	4	very	very	ADV
ajst-20221	66	5	difficult	difficult	ADJ
ajst-20221	66	6	task	task	NOUN
ajst-20221	66	7	,	,	PUNCT
ajst-20221	66	8	and	and	CCONJ
ajst-20221	66	9	there	there	PRON
ajst-20221	66	10	are	be	VERB
ajst-20221	66	11	many	many	ADJ
ajst-20221	66	12	previous	previous	ADJ
ajst-20221	66	13	works	work	NOUN
ajst-20221	66	14	to	to	PART
ajst-20221	66	15	solve	solve	VERB
ajst-20221	66	16	this	this	DET
ajst-20221	66	17	task	task	NOUN
ajst-20221	66	18	.	.	PUNCT
ajst-20221	67	1	the	the	DET
ajst-20221	67	2	algorithm	algorithm	NOUN
ajst-20221	67	3	in	in	ADP
ajst-20221	67	4	this	this	DET
ajst-20221	67	5	paper	paper	NOUN
ajst-20221	67	6	draws	draw	VERB
ajst-20221	67	7	on	on	ADP
ajst-20221	67	8	the	the	DET
ajst-20221	67	9	idea	idea	NOUN
ajst-20221	67	10	of	of	ADP
ajst-20221	67	11	idr	idr	PROPN
ajst-20221	67	12	and	and	CCONJ
ajst-20221	67	13	uses	use	VERB
ajst-20221	67	14	mlp	mlp	PROPN
ajst-20221	67	15	to	to	PART
ajst-20221	67	16	approximate	approximate	VERB
ajst-20221	67	17	a	a	DET
ajst-20221	67	18	rendering	rendering	NOUN
ajst-20221	67	19	equation	equation	NOUN
ajst-20221	67	20	,	,	PUNCT
ajst-20221	67	21	which	which	PRON
ajst-20221	67	22	is	be	AUX
ajst-20221	67	23	called	call	VERB
ajst-20221	67	24	implicit	implicit	ADJ
ajst-20221	67	25	neural	neural	ADJ
ajst-20221	67	26	rendering	rendering	NOUN
ajst-20221	67	27	.	.	PUNCT
ajst-20221	68	1	the	the	DET
ajst-20221	68	2	input	input	NOUN
ajst-20221	68	3	to	to	ADP
ajst-20221	68	4	the	the	DET
ajst-20221	68	5	network	network	NOUN
ajst-20221	68	6	accepts	accept	VERB
ajst-20221	68	7	a	a	DET
ajst-20221	68	8	point	point	NOUN
ajst-20221	68	9	to	to	PART
ajst-20221	68	10	be	be	AUX
ajst-20221	68	11	rendered	render	VERB
ajst-20221	68	12	,	,	PUNCT
ajst-20221	68	13	the	the	DET
ajst-20221	68	14	normal	normal	ADJ
ajst-20221	68	15	vector	vector	NOUN
ajst-20221	68	16	of	of	ADP
ajst-20221	68	17	that	that	DET
ajst-20221	68	18	point	point	NOUN
ajst-20221	68	19	,	,	PUNCT
ajst-20221	68	20	the	the	DET
ajst-20221	68	21	camera	camera	NOUN
ajst-20221	68	22	angle	angle	NOUN
ajst-20221	68	23	direction	direction	NOUN
ajst-20221	68	24	,	,	PUNCT
ajst-20221	68	25	and	and	CCONJ
ajst-20221	68	26	the	the	DET
ajst-20221	68	27	global	global	ADJ
ajst-20221	68	28	feature	feature	NOUN
ajst-20221	68	29	set	set	VERB
ajst-20221	68	30	vector	vector	NOUN
ajst-20221	68	31	that	that	PRON
ajst-20221	68	32	the	the	DET
ajst-20221	68	33	coding	code	VERB
ajst-20221	68	34	network	network	NOUN
ajst-20221	68	35	learns	learn	VERB
ajst-20221	68	36	to	to	PART
ajst-20221	68	37	calculate	calculate	VERB
ajst-20221	68	38	the	the	DET
ajst-20221	68	39	rgb	rgb	PROPN
ajst-20221	68	40	color	color	NOUN
ajst-20221	68	41	value	value	NOUN
ajst-20221	68	42	of	of	ADP
ajst-20221	68	43	the	the	DET
ajst-20221	68	44	corresponding	corresponding	ADJ
ajst-20221	68	45	point	point	NOUN
ajst-20221	68	46	along	along	ADP
ajst-20221	68	47	the	the	DET
ajst-20221	68	48	camera	camera	NOUN
ajst-20221	68	49	ray	ray	NOUN
ajst-20221	68	50	direction	direction	NOUN
ajst-20221	68	51	.	.	PUNCT
ajst-20221	69	1	as	as	SCONJ
ajst-20221	69	2	shown	show	VERB
ajst-20221	69	3	in	in	ADP
ajst-20221	69	4	the	the	DET
ajst-20221	69	5	figure	figure	NOUN
ajst-20221	69	6	2	2	NUM
ajst-20221	69	7	,	,	PUNCT
ajst-20221	69	8	the	the	DET
ajst-20221	69	9	light	light	NOUN
ajst-20221	69	10	is	be	AUX
ajst-20221	69	11	emitted	emit	VERB
ajst-20221	69	12	from	from	ADP
ajst-20221	69	13	the	the	DET
ajst-20221	69	14	center	center	NOUN
ajst-20221	69	15	c	c	PROPN
ajst-20221	69	16	of	of	ADP
ajst-20221	69	17	the	the	DET
ajst-20221	69	18	camera	camera	NOUN
ajst-20221	69	19	along	along	ADP
ajst-20221	69	20	the	the	DET
ajst-20221	69	21	sampled	sampled	ADJ
ajst-20221	69	22	pixel	pixel	NOUN
ajst-20221	69	23	,	,	PUNCT
ajst-20221	69	24	its	its	PRON
ajst-20221	69	25	direction	direction	NOUN
ajst-20221	69	26	v	v	NOUN
ajst-20221	69	27	is	be	AUX
ajst-20221	69	28	determined	determine	VERB
ajst-20221	69	29	by	by	ADP
ajst-20221	69	30	the	the	DET
ajst-20221	69	31	inherent	inherent	ADJ
ajst-20221	69	32	parameter	parameter	PROPN
ajst-20221	69	33	t	t	PROPN
ajst-20221	69	34	of	of	ADP
ajst-20221	69	35	the	the	DET
ajst-20221	69	36	camera	camera	NOUN
ajst-20221	69	37	,	,	PUNCT
ajst-20221	69	38	and	and	CCONJ
ajst-20221	69	39	the	the	DET
ajst-20221	69	40	algorithm	algorithm	NOUN
ajst-20221	69	41	calculates	calculate	VERB
ajst-20221	69	42	its	its	PRON
ajst-20221	69	43	intersection	intersection	NOUN
ajst-20221	69	44	point	point	NOUN
ajst-20221	69	45	p	p	NOUN
ajst-20221	69	46	on	on	ADP
ajst-20221	69	47	p	p	ADJ
ajst-20221	69	48	,	,	PUNCT
ajst-20221	69	49	.	.	PUNCT
ajst-20221	70	1	at	at	ADP
ajst-20221	70	2	the	the	DET
ajst-20221	70	3	same	same	ADJ
ajst-20221	70	4	time	time	NOUN
ajst-20221	70	5	,	,	PUNCT
ajst-20221	70	6	the	the	DET
ajst-20221	70	7	gradient	gradient	ADJ
ajst-20221	70	8	calculation	calculation	NOUN
ajst-20221	70	9	(	(	PUNCT
ajst-20221	70	10	;	;	PUNCT
ajst-20221	70	11	)	)	PUNCT
ajst-20221	70	12	p	p	NOUN
ajst-20221	70	13	fn	fn	PROPN
ajst-20221	70	14	p	p	PROPN
ajst-20221	70	15			NUM
ajst-20221	70	16	is	be	AUX
ajst-20221	70	17	carried	carry	VERB
ajst-20221	70	18	out	out	ADP
ajst-20221	70	19	by	by	ADP
ajst-20221	70	20	the	the	DET
ajst-20221	70	21	method	method	NOUN
ajst-20221	70	22	in	in	ADP
ajst-20221	70	23	section	section	NOUN
ajst-20221	70	24	3.1	3.1	NUM
ajst-20221	70	25	to	to	PART
ajst-20221	70	26	obtain	obtain	VERB
ajst-20221	70	27	the	the	DET
ajst-20221	70	28	point	point	NOUN
ajst-20221	70	29	p	p	X
ajst-20221	70	30	normal	normal	ADJ
ajst-20221	70	31	.	.	PUNCT
ajst-20221	71	1	figure	figure	NOUN
ajst-20221	71	2	2	2	NUM
ajst-20221	71	3	.	.	PUNCT
ajst-20221	71	4	neural	neural	ADJ
ajst-20221	71	5	rendering	rendering	NOUN
ajst-20221	71	6	then	then	ADV
ajst-20221	71	7	,	,	PUNCT
ajst-20221	71	8	the	the	DET
ajst-20221	71	9	jacobian	jacobian	ADJ
ajst-20221	71	10	matrix	matrix	NOUN
ajst-20221	71	11	of	of	ADP
ajst-20221	71	12	(	(	PUNCT
ajst-20221	71	13	)	)	PUNCT
ajst-20221	71	14	ix	ix	ADV
ajst-20221	71	15	p	p	ADV
ajst-20221	71	16			NOUN
ajst-20221	71	17	of	of	ADP
ajst-20221	71	18	the	the	DET
ajst-20221	71	19	point	point	NOUN
ajst-20221	71	20	after	after	SCONJ
ajst-20221	71	21	deformation	deformation	NOUN
ajst-20221	71	22	field	field	NOUN
ajst-20221	71	23	can	can	AUX
ajst-20221	71	24	be	be	AUX
ajst-20221	71	25	used	use	VERB
ajst-20221	71	26	to	to	PART
ajst-20221	71	27	transform	transform	VERB
ajst-20221	71	28	v	v	NOUN
ajst-20221	71	29	to	to	PART
ajst-20221	71	30	get	get	VERB
ajst-20221	71	31	the	the	DET
ajst-20221	71	32	camera	camera	NOUN
ajst-20221	71	33	angle	angle	NOUN
ajst-20221	71	34	pv	pv	INTJ
ajst-20221	71	35	in	in	ADP
ajst-20221	71	36	standard	standard	ADJ
ajst-20221	71	37	space	space	NOUN
ajst-20221	71	38	.	.	PUNCT
ajst-20221	72	1	as	as	ADP
ajst-20221	72	2	for	for	ADP
ajst-20221	72	3	global	global	ADJ
ajst-20221	72	4	geometric	geometric	ADJ
ajst-20221	72	5	features	feature	NOUN
ajst-20221	72	6	,	,	PUNCT
ajst-20221	72	7	the	the	DET
ajst-20221	72	8	algorithm	algorithm	NOUN
ajst-20221	72	9	also	also	ADV
ajst-20221	72	10	uses	use	VERB
ajst-20221	72	11	larger	large	ADJ
ajst-20221	72	12	mlp	mlp	NOUN
ajst-20221	72	13	(	(	PUNCT
ajst-20221	72	14	;	;	PUNCT
ajst-20221	72	15	)	)	PUNCT
ajst-20221	72	16	(	(	PUNCT
ajst-20221	72	17	(	(	PUNCT
ajst-20221	72	18	;	;	PUNCT
ajst-20221	72	19	)	)	PUNCT
ajst-20221	72	20	,	,	PUNCT
ajst-20221	72	21	(	(	PUNCT
ajst-20221	72	22	;	;	PUNCT
ajst-20221	72	23	)	)	PUNCT
ajst-20221	72	24	)	)	PUNCT
ajst-20221	73	1	f	f	PROPN
ajst-20221	74	1	p	p	X
ajst-20221	74	2	f	f	PROPN
ajst-20221	74	3	p	p	PROPN
ajst-20221	74	4	z	z	PROPN
ajst-20221	74	5	p	p	NOUN
ajst-20221	74	6			PUNCT
ajst-20221	74	7			PUNCT
ajst-20221	74	8	perform	perform	VERB
ajst-20221	74	9	additional	additional	ADJ
ajst-20221	74	10	calculations	calculation	NOUN
ajst-20221	74	11	on	on	ADP
ajst-20221	74	12	it	it	PRON
ajst-20221	74	13	,	,	PUNCT
ajst-20221	74	14	where	where	SCONJ
ajst-20221	74	15	(	(	PUNCT
ajst-20221	74	16	;	;	PUNCT
ajst-20221	74	17	)	)	PUNCT
ajst-20221	74	18	f	f	PROPN
ajst-20221	74	19	p	p	NOUN
ajst-20221	74	20			NUM
ajst-20221	74	21	represents	represent	VERB
ajst-20221	74	22	feature	feature	NOUN
ajst-20221	74	23	information	information	NOUN
ajst-20221	74	24	,	,	PUNCT
ajst-20221	74	25	(	(	PUNCT
ajst-20221	74	26	;	;	PUNCT
ajst-20221	74	27	)	)	PUNCT
ajst-20221	74	28	z	z	X
ajst-20221	74	29	p	p	NOUN
ajst-20221	74	30			NUM
ajst-20221	74	31	represents	represent	VERB
ajst-20221	74	32	depth	depth	NOUN
ajst-20221	74	33	-	-	PUNCT
ajst-20221	74	34	west	west	NOUN
ajst-20221	74	35	information	information	NOUN
ajst-20221	74	36	,	,	PUNCT
ajst-20221	74	37	which	which	PRON
ajst-20221	74	38	can	can	AUX
ajst-20221	74	39	be	be	AUX
ajst-20221	74	40	simply	simply	ADV
ajst-20221	74	41	understood	understand	VERB
ajst-20221	74	42	as	as	ADP
ajst-20221	74	43	feature	feature	NOUN
ajst-20221	74	44	information	information	NOUN
ajst-20221	74	45	with	with	ADP
ajst-20221	74	46	depth	depth	NOUN
ajst-20221	74	47	information	information	NOUN
ajst-20221	74	48	,	,	PUNCT
ajst-20221	74	49	meaning	mean	VERB
ajst-20221	74	50	that	that	SCONJ
ajst-20221	74	51	geometric	geometric	ADJ
ajst-20221	74	52	information	information	NOUN
ajst-20221	74	53	around	around	ADP
ajst-20221	74	54	point	point	NOUN
ajst-20221	74	55	p	p	NOUN
ajst-20221	74	56	can	can	AUX
ajst-20221	74	57	be	be	AUX
ajst-20221	74	58	used	use	VERB
ajst-20221	74	59	to	to	PART
ajst-20221	74	60	help	help	VERB
ajst-20221	74	61	predict	predict	VERB
ajst-20221	74	62	global	global	ADJ
ajst-20221	74	63	shadows	shadow	NOUN
ajst-20221	74	64	.	.	PUNCT
ajst-20221	75	1	finally	finally	ADV
ajst-20221	75	2	,	,	PUNCT
ajst-20221	75	3	the	the	DET
ajst-20221	75	4	algorithm	algorithm	NOUN
ajst-20221	75	5	uses	use	VERB
ajst-20221	75	6	mlp	mlp	PROPN
ajst-20221	75	7	m	m	VERB
ajst-20221	75	8	with	with	ADP
ajst-20221	75	9	a	a	DET
ajst-20221	75	10	learnable	learnable	ADJ
ajst-20221	75	11	weight	weight	NOUN
ajst-20221	75	12	y	y	NOUN
ajst-20221	75	13	to	to	PART
ajst-20221	75	14	compute	compute	VERB
ajst-20221	75	15	the	the	DET
ajst-20221	75	16	color	color	NOUN
ajst-20221	75	17			NOUN
ajst-20221	75	18			PROPN
ajst-20221	75	19	,	,	PUNCT
ajst-20221	75	20	,	,	PUNCT
ajst-20221	75	21	,	,	PUNCT
ajst-20221	75	22	ic	ic	PROPN
ajst-20221	75	23			NUM
ajst-20221	75	24			PROPN
ajst-20221	75	25			NUM
ajst-20221	75	26	p	p	ADJ
ajst-20221	75	27	of	of	ADP
ajst-20221	75	28	p	p	NOUN
ajst-20221	75	29	,	,	PUNCT
ajst-20221	75	30	the	the	DET
ajst-20221	75	31	implementation	implementation	NOUN
ajst-20221	75	32	here	here	ADV
ajst-20221	75	33	refers	refer	VERB
ajst-20221	75	34	to	to	ADP
ajst-20221	75	35	previous	previous	ADJ
ajst-20221	75	36	work	work	NOUN
ajst-20221	75	37	[	[	X
ajst-20221	75	38	16	16	NUM
ajst-20221	75	39	]	]	PUNCT
ajst-20221	75	40	.	.	PUNCT
ajst-20221	76	1	as	as	SCONJ
ajst-20221	76	2	shown	show	VERB
ajst-20221	76	3	in	in	ADP
ajst-20221	76	4	formula	formula	NOUN
ajst-20221	76	5	(	(	PUNCT
ajst-20221	76	6	11	11	NUM
ajst-20221	76	7	)	)	PUNCT
ajst-20221	76	8	:	:	PUNCT
ajst-20221	77	1			NOUN
ajst-20221	77	2			PUNCT
ajst-20221	77	3			PROPN
ajst-20221	77	4			PROPN
ajst-20221	77	5	,	,	PUNCT
ajst-20221	77	6	,	,	PUNCT
ajst-20221	77	7	,	,	PUNCT
ajst-20221	77	8	,	,	PUNCT
ajst-20221	77	9	,	,	PUNCT
ajst-20221	77	10	,	,	PUNCT
ajst-20221	77	11	(	(	PUNCT
ajst-20221	77	12	;	;	PUNCT
ajst-20221	77	13	)	)	PUNCT
ajst-20221	77	14	;	;	PUNCT
ajst-20221	77	15	pi	pi	NOUN
ajst-20221	77	16	pc	pc	NOUN
ajst-20221	78	1	m	m	VERB
ajst-20221	78	2	p	p	NOUN
ajst-20221	78	3	n	n	PROPN
ajst-20221	78	4	v	v	PROPN
ajst-20221	78	5	z	z	NOUN
ajst-20221	78	6	p	p	NOUN
ajst-20221	79	1			NOUN
ajst-20221	79	2			NUM
ajst-20221	79	3			PROPN
ajst-20221	79	4			PUNCT
ajst-20221	79	5	p	p	X
ajst-20221	79	6	(	(	PUNCT
ajst-20221	79	7	11	11	NUM
ajst-20221	79	8	)	)	PUNCT
ajst-20221	79	9	(	(	PUNCT
ajst-20221	79	10	;	;	PUNCT
ajst-20221	79	11	)	)	PUNCT
ajst-20221	79	12	p	p	NOUN
ajst-20221	79	13	fn	fn	PROPN
ajst-20221	79	14	p	p	PROPN
ajst-20221	79	15			PUNCT
ajst-20221	79	16	(	(	PUNCT
ajst-20221	79	17	12	12	NUM
ajst-20221	79	18	)	)	PUNCT
ajst-20221	79	19	(	(	PUNCT
ajst-20221	79	20	)	)	PUNCT
ajst-20221	79	21	ix	ix	ADV
ajst-20221	79	22	p	p	ADV
ajst-20221	79	23			X
ajst-20221	79	24	(	(	PUNCT
ajst-20221	79	25	13	13	NUM
ajst-20221	79	26	)	)	SYM
ajst-20221	79	27	1	1	NUM
ajst-20221	79	28	(	(	PUNCT
ajst-20221	79	29	)	)	PUNCT
ajst-20221	79	30	p	p	NOUN
ajst-20221	79	31	x	x	X
ajst-20221	79	32	vv	vv	ADP
ajst-20221	79	33	j	j	PROPN
ajst-20221	79	34	p	p	X
ajst-20221	79	35			PROPN
ajst-20221	79	36	(	(	PUNCT
ajst-20221	79	37	14	14	NUM
ajst-20221	79	38	)	)	PUNCT
ajst-20221	79	39	in	in	ADP
ajst-20221	79	40	formula	formula	NOUN
ajst-20221	79	41	(	(	PUNCT
ajst-20221	79	42	11	11	NUM
ajst-20221	79	43	)	)	PUNCT
ajst-20221	79	44	,	,	PUNCT
ajst-20221	79	45	it	it	PRON
ajst-20221	79	46	can	can	AUX
ajst-20221	79	47	be	be	AUX
ajst-20221	79	48	seen	see	VERB
ajst-20221	79	49	that	that	SCONJ
ajst-20221	79	50	the	the	DET
ajst-20221	79	51	color	color	NOUN
ajst-20221	79	52	of	of	ADP
ajst-20221	79	53	the	the	DET
ajst-20221	79	54	deformation	deformation	NOUN
ajst-20221	79	55	point	point	NOUN
ajst-20221	79	56	x	x	PUNCT
ajst-20221	79	57	along	along	ADP
ajst-20221	79	58	the	the	DET
ajst-20221	79	59	direction	direction	NOUN
ajst-20221	79	60	v	v	NOUN
ajst-20221	79	61	is	be	AUX
ajst-20221	79	62	determined	determine	VERB
ajst-20221	79	63	by	by	ADP
ajst-20221	79	64	the	the	DET
ajst-20221	79	65	mlp	mlp	PROPN
ajst-20221	79	66	weights	weight	NOUN
ajst-20221	79	67			NUM
ajst-20221	79	68	and	and	CCONJ
ajst-20221	79	69			NUM
ajst-20221	79	70	,	,	PUNCT
ajst-20221	80	1	camera	camera	NOUN
ajst-20221	80	2	parameters	parameter	NOUN
ajst-20221	80	3			NOUN
ajst-20221	80	4	and	and	CCONJ
ajst-20221	80	5	deformation	deformation	NOUN
ajst-20221	80	6	field	field	NOUN
ajst-20221	80	7	parameter	parameter	NOUN
ajst-20221	80	8	i	i	PROPN
ajst-20221	81	1	2.4	2.4	NUM
ajst-20221	81	2	.	.	PUNCT
ajst-20221	81	3	invisible	invisible	ADJ
ajst-20221	81	4	area	area	NOUN
ajst-20221	81	5	texture	texture	NOUN
ajst-20221	81	6	inference	inference	NOUN
ajst-20221	81	7	how	how	SCONJ
ajst-20221	81	8	to	to	PART
ajst-20221	81	9	learn	learn	VERB
ajst-20221	81	10	and	and	CCONJ
ajst-20221	81	11	recover	recover	VERB
ajst-20221	81	12	the	the	DET
ajst-20221	81	13	texture	texture	NOUN
ajst-20221	81	14	of	of	ADP
ajst-20221	81	15	the	the	DET
ajst-20221	81	16	invisible	invisible	ADJ
ajst-20221	81	17	part	part	NOUN
ajst-20221	81	18	is	be	AUX
ajst-20221	81	19	a	a	DET
ajst-20221	81	20	very	very	ADV
ajst-20221	81	21	challenging	challenging	ADJ
ajst-20221	81	22	problem	problem	NOUN
ajst-20221	81	23	,	,	PUNCT
ajst-20221	81	24	as	as	ADP
ajst-20221	81	25	with	with	ADP
ajst-20221	81	26	most	most	ADJ
ajst-20221	81	27	methods	method	NOUN
ajst-20221	81	28	,	,	PUNCT
ajst-20221	81	29	this	this	DET
ajst-20221	81	30	article	article	NOUN
ajst-20221	81	31	assumes	assume	VERB
ajst-20221	81	32	that	that	SCONJ
ajst-20221	81	33	the	the	DET
ajst-20221	81	34	texture	texture	NOUN
ajst-20221	81	35	of	of	ADP
ajst-20221	81	36	the	the	DET
ajst-20221	81	37	invisible	invisible	ADJ
ajst-20221	81	38	part	part	NOUN
ajst-20221	81	39	is	be	AUX
ajst-20221	81	40	similar	similar	ADJ
ajst-20221	81	41	to	to	ADP
ajst-20221	81	42	that	that	PRON
ajst-20221	81	43	of	of	ADP
ajst-20221	81	44	the	the	DET
ajst-20221	81	45	visible	visible	ADJ
ajst-20221	81	46	part	part	NOUN
ajst-20221	81	47	.	.	PUNCT
ajst-20221	82	1	this	this	DET
ajst-20221	82	2	article	article	NOUN
ajst-20221	82	3	's	's	PART
ajst-20221	82	4	approach	approach	NOUN
ajst-20221	82	5	takes	take	VERB
ajst-20221	82	6	inspiration	inspiration	NOUN
ajst-20221	82	7	216	216	NUM
ajst-20221	82	8	from	from	ADP
ajst-20221	82	9	common	common	ADJ
ajst-20221	82	10	features	feature	NOUN
ajst-20221	82	11	between	between	ADP
ajst-20221	82	12	the	the	DET
ajst-20221	82	13	back	back	ADJ
ajst-20221	82	14	view	view	NOUN
ajst-20221	82	15	and	and	CCONJ
ajst-20221	82	16	the	the	DET
ajst-20221	82	17	visible	visible	ADJ
ajst-20221	82	18	front	front	ADJ
ajst-20221	82	19	view	view	NOUN
ajst-20221	82	20	,	,	PUNCT
ajst-20221	82	21	such	such	ADJ
ajst-20221	82	22	as	as	ADP
ajst-20221	82	23	materials	material	NOUN
ajst-20221	82	24	and	and	CCONJ
ajst-20221	82	25	colors	color	NOUN
ajst-20221	82	26	.	.	PUNCT
ajst-20221	83	1	despite	despite	SCONJ
ajst-20221	83	2	their	their	PRON
ajst-20221	83	3	different	different	ADJ
ajst-20221	83	4	points	point	NOUN
ajst-20221	83	5	of	of	ADP
ajst-20221	83	6	view	view	NOUN
ajst-20221	83	7	,	,	PUNCT
ajst-20221	83	8	the	the	DET
ajst-20221	83	9	similarities	similarity	NOUN
ajst-20221	83	10	in	in	ADP
ajst-20221	83	11	these	these	DET
ajst-20221	83	12	characteristics	characteristic	NOUN
ajst-20221	83	13	are	be	AUX
ajst-20221	83	14	crucial	crucial	ADJ
ajst-20221	83	15	.	.	PUNCT
ajst-20221	84	1	therefore	therefore	ADV
ajst-20221	84	2	,	,	PUNCT
ajst-20221	84	3	the	the	DET
ajst-20221	84	4	goal	goal	NOUN
ajst-20221	84	5	of	of	ADP
ajst-20221	84	6	this	this	DET
ajst-20221	84	7	paper	paper	NOUN
ajst-20221	84	8	is	be	AUX
ajst-20221	84	9	to	to	PART
ajst-20221	84	10	use	use	VERB
ajst-20221	84	11	the	the	DET
ajst-20221	84	12	smpl	smpl	NOUN
ajst-20221	84	13	-	-	PUNCT
ajst-20221	84	14	x	x	NOUN
ajst-20221	84	15	model	model	NOUN
ajst-20221	84	16	as	as	SCONJ
ajst-20221	84	17	the	the	DET
ajst-20221	84	18	front	front	ADJ
ajst-20221	84	19	view	view	NOUN
ajst-20221	84	20	to	to	PART
ajst-20221	84	21	effectively	effectively	ADV
ajst-20221	84	22	separate	separate	VERB
ajst-20221	84	23	the	the	DET
ajst-20221	84	24	features	feature	NOUN
ajst-20221	84	25	of	of	ADP
ajst-20221	84	26	the	the	DET
ajst-20221	84	27	back	back	ADJ
ajst-20221	84	28	view	view	NOUN
ajst-20221	84	29	。	。	PUNCT
ajst-20221	84	30	the	the	DET
ajst-20221	84	31	process	process	NOUN
ajst-20221	84	32	starts	start	VERB
ajst-20221	84	33	with	with	ADP
ajst-20221	84	34	a	a	DET
ajst-20221	84	35	vit	vit	NOUN
ajst-20221	84	36	-	-	PUNCT
ajst-20221	84	37	based	base	VERB
ajst-20221	84	38	global	global	ADJ
ajst-20221	84	39	encoder	encoder	NOUN
ajst-20221	84	40	,	,	PUNCT
ajst-20221	84	41	which	which	PRON
ajst-20221	84	42	encodes	encode	VERB
ajst-20221	84	43	the	the	DET
ajst-20221	84	44	input	input	NOUN
ajst-20221	84	45	image	image	NOUN
ajst-20221	84	46	i	i	PRON
ajst-20221	84	47	into	into	ADP
ajst-20221	84	48	a	a	DET
ajst-20221	84	49	latent	latent	NOUN
ajst-20221	84	50	feature	feature	NOUN
ajst-20221	84	51	h	h	NOUN
ajst-20221	84	52	,	,	PUNCT
ajst-20221	84	53	capturing	capture	VERB
ajst-20221	84	54	the	the	DET
ajst-20221	84	55	globally	globally	ADV
ajst-20221	84	56	relevant	relevant	ADJ
ajst-20221	84	57	features	feature	NOUN
ajst-20221	84	58	of	of	ADP
ajst-20221	84	59	the	the	DET
ajst-20221	84	60	image	image	NOUN
ajst-20221	84	61	.	.	PUNCT
ajst-20221	85	1	to	to	PART
ajst-20221	85	2	decode	decode	VERB
ajst-20221	85	3	these	these	DET
ajst-20221	85	4	features	feature	NOUN
ajst-20221	85	5	,	,	PUNCT
ajst-20221	85	6	this	this	DET
ajst-20221	85	7	article	article	NOUN
ajst-20221	85	8	uses	use	VERB
ajst-20221	85	9	two	two	NUM
ajst-20221	85	10	decoders	decoder	NOUN
ajst-20221	85	11	:	:	PUNCT
ajst-20221	85	12	a	a	DET
ajst-20221	85	13	front	front	ADJ
ajst-20221	85	14	view	view	NOUN
ajst-20221	85	15	decoder	decoder	NOUN
ajst-20221	85	16	aligned	align	VERB
ajst-20221	85	17	with	with	ADP
ajst-20221	85	18	h	h	NOUN
ajst-20221	85	19	and	and	CCONJ
ajst-20221	85	20	a	a	DET
ajst-20221	85	21	back	back	ADJ
ajst-20221	85	22	view	view	NOUN
ajst-20221	85	23	decoder	decoder	NOUN
ajst-20221	85	24	.	.	PUNCT
ajst-20221	86	1	the	the	DET
ajst-20221	86	2	front	front	ADJ
ajst-20221	86	3	view	view	NOUN
ajst-20221	86	4	decoder	decoder	NOUN
ajst-20221	86	5	utilizes	utilize	VERB
ajst-20221	86	6	multi	multi	ADJ
ajst-20221	86	7	-	-	ADJ
ajst-20221	86	8	head	head	ADJ
ajst-20221	86	9	self	self	NOUN
ajst-20221	86	10	-	-	PUNCT
ajst-20221	86	11	attention	attention	NOUN
ajst-20221	86	12	within	within	ADP
ajst-20221	86	13	the	the	DET
ajst-20221	86	14	vision	vision	NOUN
ajst-20221	86	15	transformer	transformer	NOUN
ajst-20221	86	16	to	to	PART
ajst-20221	86	17	process	process	VERB
ajst-20221	86	18	the	the	DET
ajst-20221	86	19	front	front	ADJ
ajst-20221	86	20	view	view	NOUN
ajst-20221	86	21	features	feature	NOUN
ajst-20221	86	22	,	,	PUNCT
ajst-20221	86	23	representing	represent	VERB
ajst-20221	86	24	front	front	ADJ
ajst-20221	86	25	h	h	NOUN
ajst-20221	87	1	w	w	NOUN
ajst-20221	87	2	cf	cf	NOUN
ajst-20221	87	3			NOUN
ajst-20221	87	4			PRON
ajst-20221	87	5	,	,	PUNCT
ajst-20221	87	6	and	and	CCONJ
ajst-20221	87	7	also	also	ADV
ajst-20221	87	8	obtaining	obtain	VERB
ajst-20221	87	9	backf	backf	NOUN
ajst-20221	87	10	using	use	VERB
ajst-20221	87	11	a	a	DET
ajst-20221	87	12	similar	similar	ADJ
ajst-20221	87	13	decoder	decoder	NOUN
ajst-20221	87	14	.	.	PUNCT
ajst-20221	88	1	using	use	VERB
ajst-20221	88	2	spatial	spatial	ADJ
ajst-20221	88	3	positioning	positioning	NOUN
ajst-20221	88	4	and	and	CCONJ
ajst-20221	88	5	prior	prior	ADJ
ajst-20221	88	6	knowledge	knowledge	NOUN
ajst-20221	88	7	of	of	ADP
ajst-20221	88	8	the	the	DET
ajst-20221	88	9	human	human	ADJ
ajst-20221	88	10	body	body	NOUN
ajst-20221	88	11	,	,	PUNCT
ajst-20221	88	12	features	feature	NOUN
ajst-20221	88	13	are	be	AUX
ajst-20221	88	14	effectively	effectively	ADV
ajst-20221	88	15	combined	combine	VERB
ajst-20221	88	16	at	at	ADP
ajst-20221	88	17	one	one	NUM
ajst-20221	88	18	query	query	NOUN
ajst-20221	88	19	point	point	NOUN
ajst-20221	88	20	.	.	PUNCT
ajst-20221	89	1	the	the	DET
ajst-20221	89	2	query	query	NOUN
ajst-20221	89	3	point	point	NOUN
ajst-20221	89	4	is	be	AUX
ajst-20221	89	5	projected	project	VERB
ajst-20221	89	6	onto	onto	ADP
ajst-20221	89	7	the	the	DET
ajst-20221	89	8	feature	feature	NOUN
ajst-20221	89	9	map	map	NOUN
ajst-20221	89	10	j	j	PROPN
ajst-20221	89	11	,	,	PUNCT
ajst-20221	89	12	{	{	PUNCT
ajst-20221	89	13	,	,	PUNCT
ajst-20221	89	14	}	}	PUNCT
ajst-20221	89	15	j	j	PROPN
ajst-20221	89	16	frontf	frontf	VERB
ajst-20221	89	17	back	back	NOUN
ajst-20221	89	18	to	to	PART
ajst-20221	89	19	obtain	obtain	VERB
ajst-20221	89	20	pixel	pixel	ADJ
ajst-20221	89	21	-	-	PUNCT
ajst-20221	89	22	aligned	align	VERB
ajst-20221	89	23	feature	feature	NOUN
ajst-20221	89	24	s	s	VERB
ajst-20221	89	25	jf	jf	PROPN
ajst-20221	89	26	.	.	PUNCT
ajst-20221	90	1	this	this	DET
ajst-20221	90	2	paper	paper	NOUN
ajst-20221	90	3	then	then	ADV
ajst-20221	90	4	combines	combine	VERB
ajst-20221	90	5	these	these	DET
ajst-20221	90	6	features	feature	NOUN
ajst-20221	90	7	of	of	ADP
ajst-20221	90	8	all	all	DET
ajst-20221	90	9	planes	plane	NOUN
ajst-20221	90	10	using	use	VERB
ajst-20221	90	11	a	a	DET
ajst-20221	90	12	combination	combination	NOUN
ajst-20221	90	13	of	of	ADP
ajst-20221	90	14	joins	join	NOUN
ajst-20221	90	15	as	as	ADP
ajst-20221	90	16	formula	formula	NOUN
ajst-20221	90	17	(	(	PUNCT
ajst-20221	90	18	15	15	NUM
ajst-20221	90	19	)	)	PUNCT
ajst-20221	90	20	:	:	PUNCT
ajst-20221	90	21	(	(	PUNCT
ajst-20221	90	22	)	)	PUNCT
ajst-20221	90	23	(	(	PUNCT
ajst-20221	90	24	)	)	PUNCT
ajst-20221	90	25	(	(	PUNCT
ajst-20221	90	26	)	)	PUNCT
ajst-20221	90	27	b	b	X
ajst-20221	90	28	s	s	X
ajst-20221	90	29	s	s	X
ajst-20221	90	30	s	s	X
ajst-20221	90	31	ff	ff	PROPN
ajst-20221	90	32	f	f	PROPN
ajst-20221	90	33	f	f	PROPN
ajst-20221	90	34	x	x	PROPN
ajst-20221	90	35	x	x	SYM
ajst-20221	90	36	x	x	X
ajst-20221	90	37	(	(	PUNCT
ajst-20221	90	38	15	15	NUM
ajst-20221	90	39	)	)	PUNCT
ajst-20221	90	40	in	in	ADP
ajst-20221	90	41	this	this	DET
ajst-20221	90	42	paper	paper	NOUN
ajst-20221	90	43	,	,	PUNCT
ajst-20221	90	44	the	the	DET
ajst-20221	90	45	vertices	vertex	NOUN
ajst-20221	90	46	of	of	ADP
ajst-20221	90	47	the	the	DET
ajst-20221	90	48	smpl	smpl	NOUN
ajst-20221	90	49	-	-	PUNCT
ajst-20221	90	50	x	x	NOUN
ajst-20221	90	51	grid	grid	NOUN
ajst-20221	90	52	are	be	AUX
ajst-20221	90	53	projected	project	VERB
ajst-20221	90	54	onto	onto	ADP
ajst-20221	90	55	two	two	NUM
ajst-20221	90	56	feature	feature	NOUN
ajst-20221	90	57	maps	map	NOUN
ajst-20221	90	58	to	to	PART
ajst-20221	90	59	obtain	obtain	VERB
ajst-20221	90	60	feature	feature	NOUN
ajst-20221	90	61	(	(	PUNCT
ajst-20221	90	62	)	)	PUNCT
ajst-20221	90	63	,	,	PUNCT
ajst-20221	90	64	sf	sf	PROPN
ajst-20221	90	65	v	v	NUM
ajst-20221	90	66	v	v	NOUN
ajst-20221	90	67	.	.	PUNCT
ajst-20221	91	1	for	for	ADP
ajst-20221	91	2	each	each	DET
ajst-20221	91	3	query	query	NOUN
ajst-20221	91	4	point	point	NOUN
ajst-20221	91	5	x	x	PRON
ajst-20221	91	6	,	,	PUNCT
ajst-20221	91	7	the	the	DET
ajst-20221	91	8	nearest	near	ADJ
ajst-20221	91	9	triangular	triangular	NOUN
ajst-20221	91	10	face	face	NOUN
ajst-20221	91	11			NOUN
ajst-20221	91	12			PROPN
ajst-20221	91	13	3	3	NUM
ajst-20221	91	14	3	3	NUM
ajst-20221	91	15	0	0	NUM
ajst-20221	91	16	1	1	NUM
ajst-20221	91	17	2	2	NUM
ajst-20221	91	18	,	,	PUNCT
ajst-20221	91	19	,	,	PUNCT
ajst-20221	91	20	xt	xt	PROPN
ajst-20221	91	21			NOUN
ajst-20221	91	22	v	v	NOUN
ajst-20221	91	23	v	v	PRON
ajst-20221	91	24	v	v	NOUN
ajst-20221	91	25	is	be	AUX
ajst-20221	91	26	found	find	VERB
ajst-20221	91	27	,	,	PUNCT
ajst-20221	91	28	and	and	CCONJ
ajst-20221	91	29	the	the	DET
ajst-20221	91	30	features	feature	NOUN
ajst-20221	91	31	of	of	ADP
ajst-20221	91	32	x	x	SYM
ajst-20221	91	33	are	be	AUX
ajst-20221	91	34	integrated	integrate	VERB
ajst-20221	91	35	with	with	ADP
ajst-20221	91	36	centroid	centroid	NOUN
ajst-20221	91	37	interpolation	interpolation	NOUN
ajst-20221	91	38	,	,	PUNCT
ajst-20221	91	39	denoted	denote	VERB
ajst-20221	91	40	as	as	ADP
ajst-20221	91	41	(	(	PUNCT
ajst-20221	91	42	)	)	PUNCT
ajst-20221	91	43	pf	pf	NOUN
ajst-20221	91	44	x	x	X
ajst-20221	91	45	:	:	PUNCT
ajst-20221	91	46			NOUN
ajst-20221	91	47			SYM
ajst-20221	91	48			NOUN
ajst-20221	91	49			SYM
ajst-20221	91	50			NOUN
ajst-20221	92	1	0	0	NOUN
ajst-20221	92	2	1	1	NUM
ajst-20221	92	3	2	2	NUM
ajst-20221	92	4	(	(	PUNCT
ajst-20221	92	5	)	)	PUNCT
ajst-20221	92	6	p	p	X
ajst-20221	92	7	s	s	X
ajst-20221	92	8	s	s	X
ajst-20221	92	9	sf	sf	X
ajst-20221	92	10	uf	uf	PROPN
ajst-20221	92	11	vf	vf	PROPN
ajst-20221	92	12	wf	wf	PROPN
ajst-20221	92	13			PROPN
ajst-20221	92	14	x	x	PROPN
ajst-20221	92	15	v	v	ADP
ajst-20221	92	16	v	v	NUM
ajst-20221	92	17	v	v	NOUN
ajst-20221	92	18	(	(	PUNCT
ajst-20221	92	19	16	16	NUM
ajst-20221	92	20	)	)	PUNCT
ajst-20221	92	21	in	in	ADP
ajst-20221	92	22	formula	formula	NOUN
ajst-20221	92	23	(	(	PUNCT
ajst-20221	92	24	16	16	NUM
ajst-20221	92	25	)	)	PUNCT
ajst-20221	92	26	,	,	PUNCT
ajst-20221	92	27	[	[	PUNCT
ajst-20221	92	28	,	,	PUNCT
ajst-20221	92	29	,	,	PUNCT
ajst-20221	92	30	]	]	X
ajst-20221	92	31	u	u	NOUN
ajst-20221	92	32	v	v	NOUN
ajst-20221	92	33	w	w	NOUN
ajst-20221	92	34	represents	represent	VERB
ajst-20221	92	35	the	the	DET
ajst-20221	92	36	barycentric	barycentric	ADJ
ajst-20221	92	37	coordinates	coordinate	NOUN
ajst-20221	92	38	of	of	ADP
ajst-20221	92	39	the	the	DET
ajst-20221	92	40	query	query	NOUN
ajst-20221	92	41	point	point	NOUN
ajst-20221	92	42	x	x	PUNCT
ajst-20221	92	43	projected	project	VERB
ajst-20221	92	44	onto	onto	ADP
ajst-20221	92	45	the	the	DET
ajst-20221	92	46	triangle	triangle	NOUN
ajst-20221	92	47	.	.	PUNCT
ajst-20221	93	1	this	this	DET
ajst-20221	93	2	article	article	NOUN
ajst-20221	93	3	uses	use	VERB
ajst-20221	93	4	these	these	DET
ajst-20221	93	5	two	two	NUM
ajst-20221	93	6	query	query	NOUN
ajst-20221	93	7	features	feature	VERB
ajst-20221	93	8	as	as	ADP
ajst-20221	93	9	the	the	DET
ajst-20221	93	10	final	final	ADJ
ajst-20221	93	11	point	point	NOUN
ajst-20221	93	12	features	feature	NOUN
ajst-20221	93	13	.	.	PUNCT
ajst-20221	94	1	in	in	ADP
ajst-20221	94	2	addition	addition	NOUN
ajst-20221	94	3	,	,	PUNCT
ajst-20221	94	4	we	we	PRON
ajst-20221	94	5	use	use	VERB
ajst-20221	94	6	the	the	DET
ajst-20221	94	7	signed	sign	VERB
ajst-20221	94	8	distance	distance	NOUN
ajst-20221	94	9	between	between	ADP
ajst-20221	94	10	the	the	DET
ajst-20221	94	11	query	query	NOUN
ajst-20221	94	12	point	point	NOUN
ajst-20221	94	13	and	and	CCONJ
ajst-20221	94	14	the	the	DET
ajst-20221	94	15	smpl	smpl	NOUN
ajst-20221	94	16	-	-	PUNCT
ajst-20221	94	17	x	x	NOUN
ajst-20221	94	18	grid	grid	NOUN
ajst-20221	94	19	(	(	PUNCT
ajst-20221	94	20	)	)	PUNCT
ajst-20221	94	21	x	x	PROPN
ajst-20221	94	22	and	and	CCONJ
ajst-20221	94	23	the	the	DET
ajst-20221	94	24	pixelaligned	pixelaligne	VERB
ajst-20221	94	25	normal	normal	ADJ
ajst-20221	94	26	feature	feature	NOUN
ajst-20221	94	27	(	(	PUNCT
ajst-20221	94	28	)	)	PUNCT
ajst-20221	94	29	nf	nf	NOUN
ajst-20221	94	30	x	x	PUNCT
ajst-20221	94	31	as	as	ADP
ajst-20221	94	32	an	an	DET
ajst-20221	94	33	input	input	NOUN
ajst-20221	94	34	to	to	ADP
ajst-20221	94	35	the	the	DET
ajst-20221	94	36	multilayer	multilayer	ADJ
ajst-20221	94	37	perceptron	perceptron	PROPN
ajst-20221	94	38	(	(	PUNCT
ajst-20221	94	39	mlp	mlp	PROPN
ajst-20221	94	40	)	)	PUNCT
ajst-20221	94	41	for	for	ADP
ajst-20221	94	42	predicting	predict	VERB
ajst-20221	94	43	colors	color	NOUN
ajst-20221	94	44	:	:	PUNCT
ajst-20221	94	45			PROPN
ajst-20221	94	46			PROPN
ajst-20221	94	47	(	(	PUNCT
ajst-20221	94	48	)	)	PUNCT
ajst-20221	94	49	,	,	PUNCT
ajst-20221	94	50	(	(	PUNCT
ajst-20221	94	51	)	)	PUNCT
ajst-20221	94	52	,	,	PUNCT
ajst-20221	94	53	(	(	PUNCT
ajst-20221	94	54	)	)	PUNCT
ajst-20221	94	55	,	,	PUNCT
ajst-20221	94	56	(	(	PUNCT
ajst-20221	94	57	)	)	PUNCT
ajst-20221	94	58	s	s	PART
ajst-20221	94	59	p	p	X
ajst-20221	95	1	nmlp	nmlp	PROPN
ajst-20221	95	2	f	f	PROPN
ajst-20221	95	3	f	f	PROPN
ajst-20221	95	4	f	f	PROPN
ajst-20221	95	5	c	c	PUNCT
ajst-20221	95	6	x	x	SYM
ajst-20221	95	7	x	x	PUNCT
ajst-20221	95	8	x	x	SYM
ajst-20221	95	9	x	x	X
ajst-20221	95	10	(	(	PUNCT
ajst-20221	95	11	17	17	NUM
ajst-20221	95	12	)	)	PUNCT
ajst-20221	95	13	this	this	DET
ajst-20221	95	14	paper	paper	NOUN
ajst-20221	95	15	considers	consider	VERB
ajst-20221	95	16	two	two	NUM
ajst-20221	95	17	sets	set	NOUN
ajst-20221	95	18	of	of	ADP
ajst-20221	95	19	points	point	NOUN
ajst-20221	95	20	as	as	ADP
ajst-20221	95	21	training	training	NOUN
ajst-20221	95	22	data	datum	NOUN
ajst-20221	95	23	,	,	PUNCT
ajst-20221	95	24	denoted	denote	VERB
ajst-20221	95	25	as	as	ADP
ajst-20221	95	26	go	go	VERB
ajst-20221	95	27	and	and	CCONJ
ajst-20221	95	28	gc	gc	PROPN
ajst-20221	95	29	.	.	PUNCT
ajst-20221	96	1	go	go	VERB
ajst-20221	96	2	samples	sample	NOUN
ajst-20221	96	3	uniformly	uniformly	ADV
ajst-20221	96	4	along	along	ADP
ajst-20221	96	5	the	the	DET
ajst-20221	96	6	normal	normal	ADJ
ajst-20221	96	7	of	of	ADP
ajst-20221	96	8	the	the	DET
ajst-20221	96	9	ground	ground	NOUN
ajst-20221	96	10	real	real	ADJ
ajst-20221	96	11	grid	grid	NOUN
ajst-20221	96	12	surface	surface	NOUN
ajst-20221	96	13	with	with	ADP
ajst-20221	96	14	slight	slight	ADJ
ajst-20221	96	15	perturbations	perturbation	NOUN
ajst-20221	96	16	,	,	PUNCT
ajst-20221	96	17	while	while	SCONJ
ajst-20221	96	18	gc	gc	PROPN
ajst-20221	96	19	samples	sample	NOUN
ajst-20221	96	20	according	accord	VERB
ajst-20221	96	21	to	to	ADP
ajst-20221	96	22	the	the	DET
ajst-20221	96	23	same	same	ADJ
ajst-20221	96	24	strategy	strategy	NOUN
ajst-20221	96	25	as	as	ADP
ajst-20221	96	26	[	[	X
ajst-20221	96	27	17	17	NUM
ajst-20221	96	28	]	]	PUNCT
ajst-20221	96	29	.	.	PUNCT
ajst-20221	97	1	for	for	ADP
ajst-20221	97	2	points	point	NOUN
ajst-20221	97	3	in	in	ADP
ajst-20221	97	4	the	the	DET
ajst-20221	97	5	middle	middle	NOUN
ajst-20221	97	6	,	,	PUNCT
ajst-20221	97	7	this	this	DET
ajst-20221	97	8	article	article	NOUN
ajst-20221	97	9	uses	use	VERB
ajst-20221	97	10	the	the	DET
ajst-20221	97	11	following	follow	VERB
ajst-20221	97	12	loss	loss	NOUN
ajst-20221	97	13	function	function	NOUN
ajst-20221	97	14	:	:	PUNCT
ajst-20221	97	15			NOUN
ajst-20221	97	16	ˆ	ˆ	NOUN
ajst-20221	97	17	1	1	NUM
ajst-20221	97	18	o	o	NOUN
ajst-20221	97	19	o	o	X
ajst-20221	97	20	x	x	X
ajst-20221	97	21	g	g	X
ajst-20221	97	22	o	o	NOUN
ajst-20221	97	23	bce	bce	NOUN
ajst-20221	98	1	o	o	NOUN
ajst-20221	98	2	o	o	NOUN
ajst-20221	98	3	g	g	PROPN
ajst-20221	98	4			NOUN
ajst-20221	98	5			NUM
ajst-20221	98	6			X
ajst-20221	98	7			NOUN
ajst-20221	99	1	x	x	PUNCT
ajst-20221	99	2	x	x	X
ajst-20221	99	3	(	(	PUNCT
ajst-20221	99	4	18	18	NUM
ajst-20221	99	5	)	)	PUNCT
ajst-20221	99	6	in	in	ADP
ajst-20221	99	7	formula	formula	NOUN
ajst-20221	99	8	(	(	PUNCT
ajst-20221	99	9	18	18	NUM
ajst-20221	99	10	)	)	PUNCT
ajst-20221	99	11	,	,	PUNCT
ajst-20221	99	12	ôx	ôx	NOUN
ajst-20221	99	13	represents	represent	VERB
ajst-20221	99	14	the	the	DET
ajst-20221	99	15	predicted	predict	VERB
ajst-20221	99	16	occupancy	occupancy	NOUN
ajst-20221	99	17	of	of	ADP
ajst-20221	99	18	the	the	DET
ajst-20221	99	19	model	model	NOUN
ajst-20221	99	20	and	and	CCONJ
ajst-20221	99	21	ox	ox	NOUN
ajst-20221	99	22	is	be	AUX
ajst-20221	99	23	the	the	DET
ajst-20221	99	24	real	real	ADJ
ajst-20221	99	25	occupancy	occupancy	NOUN
ajst-20221	99	26	of	of	ADP
ajst-20221	99	27	the	the	DET
ajst-20221	99	28	ground	ground	NOUN
ajst-20221	99	29	.	.	PUNCT
ajst-20221	100	1	for	for	ADP
ajst-20221	100	2	sampling	sample	VERB
ajst-20221	100	3	points	point	NOUN
ajst-20221	100	4	in	in	ADP
ajst-20221	100	5	b	b	NOUN
ajst-20221	100	6	,	,	PUNCT
ajst-20221	100	7	this	this	DET
ajst-20221	100	8	paper	paper	NOUN
ajst-20221	100	9	applies	apply	VERB
ajst-20221	100	10	the	the	DET
ajst-20221	100	11	following	follow	VERB
ajst-20221	100	12	loss	loss	NOUN
ajst-20221	100	13	function	function	NOUN
ajst-20221	100	14	:	:	PUNCT
ajst-20221	100	15	ˆ	ˆ	X
ajst-20221	100	16	1	1	NUM
ajst-20221	100	17	c	c	NOUN
ajst-20221	100	18	c	c	NOUN
ajst-20221	100	19	g	g	PROPN
ajst-20221	100	20	cg	cg	PROPN
ajst-20221	100	21			NOUN
ajst-20221	100	22			ADP
ajst-20221	100	23			X
ajst-20221	100	24			NOUN
ajst-20221	101	1	x	x	PUNCT
ajst-20221	101	2	x	x	PUNCT
ajst-20221	101	3	x	x	X
ajst-20221	101	4	c	c	NOUN
ajst-20221	101	5	c	c	X
ajst-20221	101	6	(	(	PUNCT
ajst-20221	101	7	19	19	NUM
ajst-20221	101	8	)	)	PUNCT
ajst-20221	101	9	in	in	ADP
ajst-20221	101	10	formula	formula	NOUN
ajst-20221	101	11	(	(	PUNCT
ajst-20221	101	12	19	19	NUM
ajst-20221	101	13	)	)	PUNCT
ajst-20221	101	14	,	,	PUNCT
ajst-20221	101	15	ˆxc	ˆxc	PROPN
ajst-20221	101	16	represents	represent	VERB
ajst-20221	101	17	the	the	DET
ajst-20221	101	18	predicted	predict	VERB
ajst-20221	101	19	color	color	NOUN
ajst-20221	101	20	and	and	CCONJ
ajst-20221	101	21	xc	xc	PROPN
ajst-20221	101	22	represents	represent	VERB
ajst-20221	101	23	the	the	DET
ajst-20221	101	24	corresponding	corresponding	ADJ
ajst-20221	101	25	true	true	ADJ
ajst-20221	101	26	color	color	NOUN
ajst-20221	101	27	of	of	ADP
ajst-20221	101	28	the	the	DET
ajst-20221	101	29	ground	ground	NOUN
ajst-20221	101	30	.	.	PUNCT
ajst-20221	102	1	the	the	DET
ajst-20221	102	2	total	total	ADJ
ajst-20221	102	3	loss	loss	NOUN
ajst-20221	102	4	is	be	AUX
ajst-20221	102	5	the	the	DET
ajst-20221	102	6	sum	sum	NOUN
ajst-20221	102	7	of	of	ADP
ajst-20221	102	8	these	these	DET
ajst-20221	102	9	two	two	NUM
ajst-20221	102	10	independent	independent	ADJ
ajst-20221	102	11	losses	loss	NOUN
ajst-20221	102	12	and	and	CCONJ
ajst-20221	102	13	is	be	AUX
ajst-20221	102	14	designed	design	VERB
ajst-20221	102	15	to	to	PART
ajst-20221	102	16	achieve	achieve	VERB
ajst-20221	102	17	a	a	DET
ajst-20221	102	18	comprehensive	comprehensive	ADJ
ajst-20221	102	19	training	training	NOUN
ajst-20221	102	20	goal	goal	NOUN
ajst-20221	102	21	.	.	PUNCT
ajst-20221	103	1	3	3	X
ajst-20221	103	2	.	.	X
ajst-20221	103	3	experiments	experiment	NOUN
ajst-20221	103	4	3.1	3.1	NUM
ajst-20221	103	5	.	.	PUNCT
ajst-20221	104	1	dataset	dataset	NOUN
ajst-20221	104	2	agora	agora	PROPN
ajst-20221	104	3	is	be	AUX
ajst-20221	104	4	a	a	DET
ajst-20221	104	5	synthetic	synthetic	ADJ
ajst-20221	104	6	dataset	dataset	NOUN
ajst-20221	104	7	with	with	ADP
ajst-20221	104	8	highly	highly	ADV
ajst-20221	104	9	realistic	realistic	ADJ
ajst-20221	104	10	and	and	CCONJ
ajst-20221	104	11	highly	highly	ADV
ajst-20221	104	12	accurate	accurate	ADJ
ajst-20221	104	13	truth	truth	NOUN
ajst-20221	104	14	values	value	NOUN
ajst-20221	104	15	.	.	PUNCT
ajst-20221	105	1	using	use	VERB
ajst-20221	105	2	4,240	4,240	NUM
ajst-20221	105	3	commercially	commercially	ADV
ajst-20221	105	4	available	available	ADJ
ajst-20221	105	5	,	,	PUNCT
ajst-20221	105	6	high	high	ADJ
ajst-20221	105	7	-	-	PUNCT
ajst-20221	105	8	quality	quality	NOUN
ajst-20221	105	9	,	,	PUNCT
ajst-20221	105	10	richly	richly	ADV
ajst-20221	105	11	textured	texture	VERB
ajst-20221	105	12	body	body	NOUN
ajst-20221	105	13	scans	scan	NOUN
ajst-20221	105	14	in	in	ADP
ajst-20221	105	15	a	a	DET
ajst-20221	105	16	variety	variety	NOUN
ajst-20221	105	17	of	of	ADP
ajst-20221	105	18	poses	pose	NOUN
ajst-20221	105	19	and	and	CCONJ
ajst-20221	105	20	natural	natural	ADJ
ajst-20221	105	21	clothing	clothing	NOUN
ajst-20221	105	22	(	(	PUNCT
ajst-20221	105	23	this	this	PRON
ajst-20221	105	24	included	include	VERB
ajst-20221	105	25	257	257	NUM
ajst-20221	105	26	child	child	NOUN
ajst-20221	105	27	scans	scan	NOUN
ajst-20221	105	28	)	)	PUNCT
ajst-20221	105	29	.	.	PUNCT
ajst-20221	106	1	create	create	VERB
ajst-20221	106	2	reference	reference	NOUN
ajst-20221	106	3	3d	3d	NUM
ajst-20221	106	4	poses	pose	NOUN
ajst-20221	106	5	and	and	CCONJ
ajst-20221	106	6	body	body	NOUN
ajst-20221	106	7	shapes	shape	NOUN
ajst-20221	106	8	by	by	ADP
ajst-20221	106	9	fitting	fitting	ADJ
ajst-20221	106	10	smplx	smplx	NOUN
ajst-20221	106	11	body	body	NOUN
ajst-20221	106	12	models	model	NOUN
ajst-20221	106	13	to	to	ADP
ajst-20221	106	14	3d	3d	NUM
ajst-20221	106	15	scans	scan	NOUN
ajst-20221	106	16	.	.	PUNCT
ajst-20221	107	1	by	by	ADP
ajst-20221	107	2	rendering	render	VERB
ajst-20221	107	3	5	5	NUM
ajst-20221	107	4	to	to	PART
ajst-20221	107	5	15	15	NUM
ajst-20221	107	6	people	people	NOUN
ajst-20221	107	7	in	in	ADP
ajst-20221	107	8	each	each	DET
ajst-20221	107	9	image	image	NOUN
ajst-20221	107	10	using	use	VERB
ajst-20221	107	11	image	image	NOUN
ajst-20221	107	12	-	-	PUNCT
ajst-20221	107	13	based	base	VERB
ajst-20221	107	14	lighting	lighting	NOUN
ajst-20221	107	15	or	or	CCONJ
ajst-20221	107	16	3d	3d	NUM
ajst-20221	107	17	ambient	ambient	ADJ
ajst-20221	107	18	rendering	rendering	NOUN
ajst-20221	107	19	,	,	PUNCT
ajst-20221	107	20	create	create	VERB
ajst-20221	107	21	training	training	NOUN
ajst-20221	107	22	images	image	NOUN
ajst-20221	107	23	of	of	ADP
ajst-20221	107	24	about	about	ADP
ajst-20221	107	25	14k	14k	NOUN
ajst-20221	107	26	and	and	CCONJ
ajst-20221	107	27	test	test	NOUN
ajst-20221	107	28	images	image	NOUN
ajst-20221	107	29	of	of	ADP
ajst-20221	107	30	3k	3k	NUM
ajst-20221	107	31	,	,	PUNCT
ajst-20221	107	32	and	and	CCONJ
ajst-20221	107	33	take	take	VERB
ajst-20221	107	34	care	care	NOUN
ajst-20221	107	35	to	to	PART
ajst-20221	107	36	make	make	VERB
ajst-20221	107	37	the	the	DET
ajst-20221	107	38	images	image	NOUN
ajst-20221	107	39	physically	physically	ADV
ajst-20221	107	40	reasonable	reasonable	ADJ
ajst-20221	107	41	and	and	CCONJ
ajst-20221	107	42	realistic	realistic	ADJ
ajst-20221	107	43	.	.	PUNCT
ajst-20221	108	1	in	in	ADP
ajst-20221	108	2	the	the	DET
ajst-20221	108	3	end	end	NOUN
ajst-20221	108	4	,	,	PUNCT
ajst-20221	108	5	agora	agora	PROPN
ajst-20221	108	6	had	have	VERB
ajst-20221	108	7	173k	173k	NUM
ajst-20221	108	8	rendered	render	VERB
ajst-20221	108	9	images	image	NOUN
ajst-20221	108	10	.	.	PUNCT
ajst-20221	109	1	thuman2.0	thuman2.0	X
ajst-20221	109	2	[	[	X
ajst-20221	109	3	18	18	NUM
ajst-20221	109	4	]	]	PUNCT
ajst-20221	109	5	contains	contain	VERB
ajst-20221	109	6	525	525	NUM
ajst-20221	109	7	high	high	ADJ
ajst-20221	109	8	-	-	PUNCT
ajst-20221	109	9	quality	quality	NOUN
ajst-20221	109	10	human	human	ADJ
ajst-20221	109	11	texture	texture	NOUN
ajst-20221	109	12	scans	scan	NOUN
ajst-20221	109	13	,	,	PUNCT
ajst-20221	109	14	captured	capture	VERB
ajst-20221	109	15	by	by	ADP
ajst-20221	109	16	a	a	DET
ajst-20221	109	17	dense	dense	ADJ
ajst-20221	109	18	dslr	dslr	ADJ
ajst-20221	109	19	platform	platform	NOUN
ajst-20221	109	20	,	,	PUNCT
ajst-20221	109	21	and	and	CCONJ
ajst-20221	109	22	corresponding	correspond	VERB
ajst-20221	109	23	smpl	smpl	NOUN
ajst-20221	109	24	-	-	PUNCT
ajst-20221	109	25	x	x	NOUN
ajst-20221	109	26	matching	matching	NOUN
ajst-20221	109	27	.	.	PROPN
ajst-20221	110	1	3.2	3.2	NUM
ajst-20221	110	2	.	.	PUNCT
ajst-20221	110	3	metrics	metric	NOUN
ajst-20221	110	4	.	.	PUNCT
ajst-20221	111	1	in	in	ADP
ajst-20221	111	2	order	order	NOUN
ajst-20221	111	3	to	to	PART
ajst-20221	111	4	quantitatively	quantitatively	ADV
ajst-20221	111	5	evaluate	evaluate	VERB
ajst-20221	111	6	the	the	DET
ajst-20221	111	7	indexes	index	NOUN
ajst-20221	111	8	of	of	ADP
ajst-20221	111	9	the	the	DET
ajst-20221	111	10	algorithm	algorithm	NOUN
ajst-20221	111	11	in	in	ADP
ajst-20221	111	12	this	this	DET
ajst-20221	111	13	chapter	chapter	NOUN
ajst-20221	111	14	and	and	CCONJ
ajst-20221	111	15	conduct	conduct	VERB
ajst-20221	111	16	a	a	DET
ajst-20221	111	17	comparison	comparison	NOUN
ajst-20221	111	18	experiment	experiment	NOUN
ajst-20221	111	19	with	with	ADP
ajst-20221	111	20	other	other	ADJ
ajst-20221	111	21	algorithms	algorithm	NOUN
ajst-20221	111	22	,	,	PUNCT
ajst-20221	111	23	the	the	DET
ajst-20221	111	24	algorithm	algorithm	NOUN
ajst-20221	111	25	in	in	ADP
ajst-20221	111	26	this	this	DET
ajst-20221	111	27	chapter	chapter	NOUN
ajst-20221	111	28	uses	use	VERB
ajst-20221	111	29	three	three	NUM
ajst-20221	111	30	evaluation	evaluation	NOUN
ajst-20221	111	31	indexes	index	NOUN
ajst-20221	111	32	,	,	PUNCT
ajst-20221	111	33	namely	namely	ADV
ajst-20221	111	34	p2s	p2	NOUN
ajst-20221	111	35	,	,	PUNCT
ajst-20221	111	36	chamfer	chamfer	NOUN
ajst-20221	111	37	and	and	CCONJ
ajst-20221	111	38	normals	normal	NOUN
ajst-20221	111	39	.	.	PUNCT
ajst-20221	112	1	all	all	DET
ajst-20221	112	2	three	three	NUM
ajst-20221	112	3	indicators	indicator	NOUN
ajst-20221	112	4	are	be	AUX
ajst-20221	112	5	measured	measure	VERB
ajst-20221	112	6	in	in	ADP
ajst-20221	112	7	centimeters	centimeter	NOUN
ajst-20221	112	8	,	,	PUNCT
ajst-20221	112	9	and	and	CCONJ
ajst-20221	112	10	the	the	DET
ajst-20221	112	11	smaller	small	ADJ
ajst-20221	112	12	the	the	DET
ajst-20221	112	13	better	well	ADJ
ajst-20221	112	14	.	.	PUNCT
ajst-20221	113	1	p2s	p2	NOUN
ajst-20221	113	2	(	(	PUNCT
ajst-20221	113	3	point	point	NOUN
ajst-20221	113	4	-	-	PUNCT
ajst-20221	113	5	to	to	ADP
ajst-20221	113	6	-	-	PUNCT
ajst-20221	113	7	surface	surface	NOUN
ajst-20221	113	8	euclidean	euclidean	ADJ
ajst-20221	113	9	distance	distance	NOUN
ajst-20221	113	10	)	)	PUNCT
ajst-20221	113	11	represents	represent	VERB
ajst-20221	113	12	the	the	DET
ajst-20221	113	13	euclidean	euclidean	ADJ
ajst-20221	113	14	distance	distance	NOUN
ajst-20221	113	15	between	between	ADP
ajst-20221	113	16	the	the	DET
ajst-20221	113	17	vertex	vertex	NOUN
ajst-20221	113	18	of	of	ADP
ajst-20221	113	19	the	the	DET
ajst-20221	113	20	reconstructed	reconstructed	ADJ
ajst-20221	113	21	surface	surface	NOUN
ajst-20221	113	22	and	and	CCONJ
ajst-20221	113	23	the	the	DET
ajst-20221	113	24	surface	surface	NOUN
ajst-20221	113	25	of	of	ADP
ajst-20221	113	26	the	the	DET
ajst-20221	113	27	true	true	ADJ
ajst-20221	113	28	value	value	NOUN
ajst-20221	113	29	,	,	PUNCT
ajst-20221	113	30	where	where	SCONJ
ajst-20221	113	31	the	the	DET
ajst-20221	113	32	distance	distance	NOUN
ajst-20221	113	33	from	from	ADP
ajst-20221	113	34	the	the	DET
ajst-20221	113	35	point	point	NOUN
ajst-20221	113	36	to	to	ADP
ajst-20221	113	37	the	the	DET
ajst-20221	113	38	surface	surface	NOUN
ajst-20221	113	39	is	be	AUX
ajst-20221	113	40	calculated	calculate	VERB
ajst-20221	113	41	.	.	PUNCT
ajst-20221	114	1	chamfer	chamfer	NOUN
ajst-20221	114	2	(	(	PUNCT
ajst-20221	114	3	chamfer	chamfer	NOUN
ajst-20221	114	4	distance	distance	NOUN
ajst-20221	114	5	)	)	PUNCT
ajst-20221	114	6	indicates	indicate	VERB
ajst-20221	114	7	the	the	DET
ajst-20221	114	8	chamfer	chamfer	NOUN
ajst-20221	114	9	distance	distance	NOUN
ajst-20221	114	10	between	between	ADP
ajst-20221	114	11	the	the	DET
ajst-20221	114	12	reconstructed	reconstructed	ADJ
ajst-20221	114	13	surface	surface	NOUN
ajst-20221	114	14	and	and	CCONJ
ajst-20221	114	15	the	the	DET
ajst-20221	114	16	true	true	ADJ
ajst-20221	114	17	surface	surface	NOUN
ajst-20221	114	18	,	,	PUNCT
ajst-20221	114	19	which	which	PRON
ajst-20221	114	20	is	be	AUX
ajst-20221	114	21	mainly	mainly	ADV
ajst-20221	114	22	used	use	VERB
ajst-20221	114	23	for	for	ADP
ajst-20221	114	24	point	point	NOUN
ajst-20221	114	25	cloud	cloud	NOUN
ajst-20221	114	26	reconstruction	reconstruction	NOUN
ajst-20221	114	27	or	or	CCONJ
ajst-20221	114	28	3d	3d	NUM
ajst-20221	114	29	reconstruction	reconstruction	NOUN
ajst-20221	114	30	.	.	PUNCT
ajst-20221	115	1	defined	define	VERB
ajst-20221	115	2	as	as	SCONJ
ajst-20221	115	3	follows	follow	VERB
ajst-20221	115	4			NOUN
ajst-20221	115	5			PROPN
ajst-20221	115	6	2	2	NUM
ajst-20221	115	7	11	11	NUM
ajst-20221	115	8	2	2	NUM
ajst-20221	115	9	2	2	NUM
ajst-20221	115	10	2	2	NUM
ajst-20221	115	11	1	1	NUM
ajst-20221	115	12	2	2	NUM
ajst-20221	115	13	2	2	NUM
ajst-20221	115	14	2	2	NUM
ajst-20221	115	15	1	1	NUM
ajst-20221	115	16	2	2	NUM
ajst-20221	115	17	1	1	NUM
ajst-20221	115	18	1	1	NUM
ajst-20221	115	19	,	,	PUNCT
ajst-20221	115	20	min	min	NOUN
ajst-20221	115	21	mincd	mincd	NOUN
ajst-20221	115	22	y	y	PROPN
ajst-20221	115	23	s	s	PROPN
ajst-20221	115	24	x	x	X
ajst-20221	115	25	sx	sx	PROPN
ajst-20221	115	26	s	s	PROPN
ajst-20221	115	27	y	y	PROPN
ajst-20221	115	28	s	s	PROPN
ajst-20221	115	29	d	d	X
ajst-20221	115	30	s	s	X
ajst-20221	115	31	s	s	X
ajst-20221	115	32	x	x	X
ajst-20221	115	33	y	y	PROPN
ajst-20221	115	34	y	y	PROPN
ajst-20221	115	35	x	x	SYM
ajst-20221	115	36	s	s	VERB
ajst-20221	115	37	s	s	PROPN
ajst-20221	115	38			X
ajst-20221	115	39			NOUN
ajst-20221	115	40			NUM
ajst-20221	115	41			NUM
ajst-20221	116	1			PROPN
ajst-20221	116	2			VERB
ajst-20221	116	3			X
ajst-20221	116	4			PROPN
ajst-20221	116	5			PROPN
ajst-20221	116	6			PROPN
ajst-20221	116	7			PROPN
ajst-20221	116	8	(	(	PUNCT
ajst-20221	116	9	20	20	NUM
ajst-20221	116	10	)	)	PUNCT
ajst-20221	116	11	in	in	ADP
ajst-20221	116	12	formula	formula	NOUN
ajst-20221	116	13	(	(	PUNCT
ajst-20221	116	14	20	20	NUM
ajst-20221	116	15	)	)	PUNCT
ajst-20221	116	16	,	,	PUNCT
ajst-20221	116	17	1s	1	NOUN
ajst-20221	116	18	and	and	CCONJ
ajst-20221	116	19	2s	2s	NUM
ajst-20221	116	20	of	of	ADP
ajst-20221	116	21	the	the	DET
ajst-20221	116	22	formula	formula	NOUN
ajst-20221	116	23	represent	represent	VERB
ajst-20221	116	24	two	two	NUM
ajst-20221	116	25	groups	group	NOUN
ajst-20221	116	26	of	of	ADP
ajst-20221	116	27	3d	3d	NUM
ajst-20221	116	28	point	point	NOUN
ajst-20221	116	29	clouds	cloud	NOUN
ajst-20221	116	30	respectively	respectively	ADV
ajst-20221	116	31	.	.	PUNCT
ajst-20221	117	1	the	the	DET
ajst-20221	117	2	first	first	ADJ
ajst-20221	117	3	term	term	NOUN
ajst-20221	117	4	represents	represent	VERB
ajst-20221	117	5	the	the	DET
ajst-20221	117	6	sum	sum	NOUN
ajst-20221	117	7	of	of	ADP
ajst-20221	117	8	the	the	DET
ajst-20221	117	9	minimum	minimum	ADJ
ajst-20221	117	10	distance	distance	NOUN
ajst-20221	117	11	between	between	ADP
ajst-20221	117	12	any	any	DET
ajst-20221	117	13	point	point	NOUN
ajst-20221	117	14	x	x	PUNCT
ajst-20221	117	15	in	in	ADP
ajst-20221	117	16	s1	s1	NOUN
ajst-20221	117	17	and	and	CCONJ
ajst-20221	117	18	s2	s2	PROPN
ajst-20221	117	19	,	,	PUNCT
ajst-20221	117	20	and	and	CCONJ
ajst-20221	117	21	the	the	DET
ajst-20221	117	22	second	second	ADJ
ajst-20221	117	23	term	term	NOUN
ajst-20221	117	24	represents	represent	VERB
ajst-20221	117	25	the	the	DET
ajst-20221	117	26	sum	sum	NOUN
ajst-20221	117	27	of	of	ADP
ajst-20221	117	28	the	the	DET
ajst-20221	117	29	minimum	minimum	ADJ
ajst-20221	117	30	distance	distance	NOUN
ajst-20221	117	31	between	between	ADP
ajst-20221	117	32	any	any	DET
ajst-20221	117	33	point	point	NOUN
ajst-20221	117	34	y	y	PROPN
ajst-20221	117	35	in	in	ADP
ajst-20221	117	36	s2	s2	PROPN
ajst-20221	117	37	.	.	PUNCT
ajst-20221	118	1	if	if	SCONJ
ajst-20221	118	2	the	the	DET
ajst-20221	118	3	distance	distance	NOUN
ajst-20221	118	4	is	be	AUX
ajst-20221	118	5	large	large	ADJ
ajst-20221	118	6	,	,	PUNCT
ajst-20221	118	7	it	it	PRON
ajst-20221	118	8	indicates	indicate	VERB
ajst-20221	118	9	that	that	SCONJ
ajst-20221	118	10	the	the	DET
ajst-20221	118	11	two	two	NUM
ajst-20221	118	12	groups	group	NOUN
ajst-20221	118	13	of	of	ADP
ajst-20221	118	14	point	point	NOUN
ajst-20221	118	15	clouds	cloud	NOUN
ajst-20221	118	16	are	be	AUX
ajst-20221	118	17	different	different	ADJ
ajst-20221	118	18	;	;	PUNCT
ajst-20221	118	19	if	if	SCONJ
ajst-20221	118	20	the	the	DET
ajst-20221	118	21	distance	distance	NOUN
ajst-20221	118	22	is	be	AUX
ajst-20221	118	23	small	small	ADJ
ajst-20221	118	24	,	,	PUNCT
ajst-20221	118	25	it	it	PRON
ajst-20221	118	26	indicates	indicate	VERB
ajst-20221	118	27	that	that	SCONJ
ajst-20221	118	28	the	the	DET
ajst-20221	118	29	reconstruction	reconstruction	NOUN
ajst-20221	118	30	effect	effect	NOUN
ajst-20221	118	31	is	be	AUX
ajst-20221	118	32	better	well	ADJ
ajst-20221	118	33	.	.	PUNCT
ajst-20221	119	1	normals	normal	NOUN
ajst-20221	119	2	(	(	PUNCT
ajst-20221	119	3	normals	normal	VERB
ajst-20221	119	4	loss	loss	NOUN
ajst-20221	119	5	)	)	PUNCT
ajst-20221	119	6	:	:	PUNCT
ajst-20221	119	7	the	the	DET
ajst-20221	119	8	difference	difference	NOUN
ajst-20221	119	9	between	between	ADP
ajst-20221	119	10	the	the	DET
ajst-20221	119	11	generated	generate	VERB
ajst-20221	119	12	normals	normal	NOUN
ajst-20221	119	13	and	and	CCONJ
ajst-20221	119	14	the	the	DET
ajst-20221	119	15	real	real	ADJ
ajst-20221	119	16	normals	normal	NOUN
ajst-20221	119	17	is	be	AUX
ajst-20221	119	18	assessed	assess	VERB
ajst-20221	119	19	to	to	PART
ajst-20221	119	20	ensure	ensure	VERB
ajst-20221	119	21	that	that	SCONJ
ajst-20221	119	22	the	the	DET
ajst-20221	119	23	generated	generate	VERB
ajst-20221	119	24	shape	shape	NOUN
ajst-20221	119	25	has	have	VERB
ajst-20221	119	26	normals	normal	NOUN
ajst-20221	119	27	similar	similar	ADJ
ajst-20221	119	28	to	to	ADP
ajst-20221	119	29	the	the	DET
ajst-20221	119	30	real	real	ADJ
ajst-20221	119	31	shape	shape	NOUN
ajst-20221	119	32	,	,	PUNCT
ajst-20221	119	33	217	217	NUM
ajst-20221	119	34	thereby	thereby	ADV
ajst-20221	119	35	improving	improve	VERB
ajst-20221	119	36	the	the	DET
ajst-20221	119	37	geometric	geometric	ADJ
ajst-20221	119	38	and	and	CCONJ
ajst-20221	119	39	visual	visual	ADJ
ajst-20221	119	40	quality	quality	NOUN
ajst-20221	119	41	of	of	ADP
ajst-20221	119	42	the	the	DET
ajst-20221	119	43	shape	shape	NOUN
ajst-20221	119	44	.	.	PUNCT
ajst-20221	120	1	3.3	3.3	NUM
ajst-20221	120	2	.	.	PUNCT
ajst-20221	120	3	settings	setting	NOUN
ajst-20221	120	4	to	to	PART
ajst-20221	120	5	perturb	perturb	VERB
ajst-20221	120	6	the	the	DET
ajst-20221	120	7	pose	pose	NOUN
ajst-20221	120	8	and	and	CCONJ
ajst-20221	120	9	shape	shape	NOUN
ajst-20221	120	10	parameters	parameter	NOUN
ajst-20221	120	11	of	of	ADP
ajst-20221	120	12	smpl	smpl	NOUN
ajst-20221	120	13	,	,	PUNCT
ajst-20221	120	14	random	random	ADJ
ajst-20221	120	15	noise	noise	NOUN
ajst-20221	120	16	is	be	AUX
ajst-20221	120	17	added	add	VERB
ajst-20221	120	18	to	to	ADP
ajst-20221	120	19			PROPN
ajst-20221	120	20	and	and	CCONJ
ajst-20221	120	21			PROPN
ajst-20221	120	22	:	:	PUNCT
ajst-20221	120	23	,	,	PUNCT
ajst-20221	120	24	s	s	NOUN
ajst-20221	120	25	s	s	NOUN
ajst-20221	120	26			NOUN
ajst-20221	120	27			NOUN
ajst-20221	120	28			PROPN
ajst-20221	120	29			NOUN
ajst-20221	120	30			NOUN
ajst-20221	120	31			NOUN
ajst-20221	120	32			PUNCT
ajst-20221	120	33			PROPN
ajst-20221	120	34			PROPN
ajst-20221	120	35			ADV
ajst-20221	120	36			PROPN
ajst-20221	120	37			PROPN
ajst-20221	120	38	(	(	PUNCT
ajst-20221	120	39	21	21	NUM
ajst-20221	120	40	)	)	PUNCT
ajst-20221	120	41	in	in	ADP
ajst-20221	120	42	formula	formula	NOUN
ajst-20221	120	43	(	(	PUNCT
ajst-20221	120	44	21	21	NUM
ajst-20221	120	45	)	)	PUNCT
ajst-20221	120	46	,	,	PUNCT
ajst-20221	120	47	0.15s	0.15s	PROPN
ajst-20221	120	48			NUM
ajst-20221	120	49	,	,	PUNCT
ajst-20221	120	50	0.5s	0.5s	AUX
ajst-20221	121	1			NOUN
ajst-20221	121	2	these	these	PRON
ajst-20221	121	3	are	be	AUX
ajst-20221	121	4	the	the	DET
ajst-20221	121	5	alignment	alignment	ADJ
ajst-20221	121	6	errors	error	NOUN
ajst-20221	121	7	generated	generate	VERB
ajst-20221	121	8	by	by	ADP
ajst-20221	121	9	simulating	simulate	VERB
ajst-20221	121	10	the	the	DET
ajst-20221	121	11	human	human	ADJ
ajst-20221	121	12	body	body	NOUN
ajst-20221	121	13	pose	pose	VERB
ajst-20221	121	14	estimation	estimation	NOUN
ajst-20221	121	15	(	(	PUNCT
ajst-20221	121	16	pixie	pixie	NOUN
ajst-20221	121	17	)	)	PUNCT
ajst-20221	121	18	method	method	NOUN
ajst-20221	121	19	based	base	VERB
ajst-20221	121	20	on	on	ADP
ajst-20221	121	21	empirical	empirical	ADJ
ajst-20221	121	22	values	value	NOUN
ajst-20221	121	23	.	.	PUNCT
ajst-20221	122	1	to	to	PART
ajst-20221	122	2	verify	verify	VERB
ajst-20221	122	3	the	the	DET
ajst-20221	122	4	necessity	necessity	NOUN
ajst-20221	122	5	of	of	ADP
ajst-20221	122	6	n_diff	n_diff	PROPN
ajst-20221	122	7	s_diff	s_diff	PROPN
ajst-20221	122	8	j_diff	j_diff	PROPN
ajst-20221	122	9	，	，	PROPN
ajst-20221	122	10	，	，	ADJ
ajst-20221	122	11			NOUN
ajst-20221	122	12			NOUN
ajst-20221	122	13			NOUN
ajst-20221	122	14	in	in	ADP
ajst-20221	122	15	equation	equation	NOUN
ajst-20221	122	16	(	(	PUNCT
ajst-20221	122	17	)	)	PUNCT
ajst-20221	122	18	,	,	PUNCT
ajst-20221	122	19	an	an	DET
ajst-20221	122	20	integrity	integrity	NOUN
ajst-20221	122	21	check	check	NOUN
ajst-20221	122	22	is	be	AUX
ajst-20221	122	23	performed	perform	VERB
ajst-20221	122	24	on	on	ADP
ajst-20221	122	25	agora	agora	PROPN
ajst-20221	122	26	's	's	PART
ajst-20221	122	27	validation	validation	NOUN
ajst-20221	122	28	set	set	NOUN
ajst-20221	122	29	.	.	PUNCT
ajst-20221	123	1	initialized	initialize	VERB
ajst-20221	123	2	with	with	ADP
ajst-20221	123	3	different	different	ADJ
ajst-20221	123	4	attitude	attitude	NOUN
ajst-20221	123	5	noise	noise	NOUN
ajst-20221	123	6	s	s	NOUN
ajst-20221	123	7	(	(	PUNCT
ajst-20221	123	8	equation	equation	NOUN
ajst-20221	123	9	(	(	PUNCT
ajst-20221	123	10	8)	8)	NUM
ajst-20221	123	11	)	)	PUNCT
ajst-20221	123	12	,	,	PUNCT
ajst-20221	123	13	n_diff	n_diff	VERB
ajst-20221	123	14	s_diff	s_diff	NOUN
ajst-20221	123	15	j_diff	j_diff	PROPN
ajst-20221	123	16	，	，	PROPN
ajst-20221	123	17	，	，	ADJ
ajst-20221	123	18			NOUN
ajst-20221	123	19			NOUN
ajst-20221	123	20			NOUN
ajst-20221	123	21	optimize	optimize	NOUN
ajst-20221	123	22	the	the	DET
ajst-20221	123	23	,	,	PUNCT
ajst-20221	123	24	,	,	PUNCT
ajst-20221	123	25	t	t	ADJ
ajst-20221	123	26			NOUN
ajst-20221	123	27	parameter	parameter	NOUN
ajst-20221	123	28	of	of	ADP
ajst-20221	123	29	the	the	DET
ajst-20221	123	30	disturbed	disturb	VERB
ajst-20221	123	31	smpl	smpl	NOUN
ajst-20221	123	32	-	-	PUNCT
ajst-20221	123	33	x	x	PUNCT
ajst-20221	123	34	by	by	ADP
ajst-20221	123	35	minimizing	minimize	VERB
ajst-20221	123	36	the	the	DET
ajst-20221	123	37	difference	difference	NOUN
ajst-20221	123	38	between	between	ADP
ajst-20221	123	39	the	the	DET
ajst-20221	123	40	rendered	render	VERB
ajst-20221	123	41	smpl	smpl	NOUN
ajst-20221	123	42	-	-	PUNCT
ajst-20221	123	43	x	x	NOUN
ajst-20221	123	44	body	body	NOUN
ajst-20221	123	45	norma	norma	PROPN
ajst-20221	123	46	and	and	CCONJ
ajst-20221	123	47	the	the	DET
ajst-20221	123	48	clothed	clothe	VERB
ajst-20221	123	49	body	body	NOUN
ajst-20221	123	50	truth	truth	NOUN
ajst-20221	123	51	norma	norma	PROPN
ajst-20221	123	52	for	for	ADP
ajst-20221	123	53	2k	2k	NUM
ajst-20221	123	54	iterations	iteration	NOUN
ajst-20221	123	55	.	.	PUNCT
ajst-20221	124	1	as	as	SCONJ
ajst-20221	124	2	shown	show	VERB
ajst-20221	124	3	in	in	ADP
ajst-20221	124	4	figure	figure	NOUN
ajst-20221	124	5	3	3	NUM
ajst-20221	124	6	,	,	PUNCT
ajst-20221	124	7	n_diff	n_diff	NOUN
ajst-20221	124	8	s_diff	s_diff	NOUN
ajst-20221	124	9	j_diff	j_diff	CCONJ
ajst-20221	125	1			ADJ
ajst-20221	125	2			NOUN
ajst-20221	125	3			NOUN
ajst-20221	125	4	always	always	ADV
ajst-20221	125	5	leads	lead	VERB
ajst-20221	125	6	to	to	ADP
ajst-20221	125	7	the	the	DET
ajst-20221	125	8	smallest	small	ADJ
ajst-20221	125	9	error	error	NOUN
ajst-20221	125	10	at	at	ADP
ajst-20221	125	11	any	any	DET
ajst-20221	125	12	noise	noise	NOUN
ajst-20221	125	13	level	level	NOUN
ajst-20221	125	14	,	,	PUNCT
ajst-20221	125	15	which	which	PRON
ajst-20221	125	16	is	be	AUX
ajst-20221	125	17	measured	measure	VERB
ajst-20221	125	18	by	by	ADP
ajst-20221	125	19	the	the	DET
ajst-20221	125	20	chamfer	chamfer	NOUN
ajst-20221	125	21	distance	distance	NOUN
ajst-20221	125	22	between	between	ADP
ajst-20221	125	23	the	the	DET
ajst-20221	125	24	disturbed	disturb	VERB
ajst-20221	125	25	smpl	smpl	NOUN
ajst-20221	125	26	-	-	PUNCT
ajst-20221	125	27	x	x	NOUN
ajst-20221	125	28	mesh	mesh	NOUN
ajst-20221	125	29	and	and	CCONJ
ajst-20221	125	30	the	the	DET
ajst-20221	125	31	real	real	ADJ
ajst-20221	125	32	smpl	smpl	NOUN
ajst-20221	125	33	-	-	PUNCT
ajst-20221	125	34	x	x	NOUN
ajst-20221	125	35	mesh	mesh	NOUN
ajst-20221	125	36	.	.	PUNCT
ajst-20221	126	1	figure	figure	NOUN
ajst-20221	126	2	3	3	NUM
ajst-20221	126	3	.	.	PUNCT
ajst-20221	127	1	smpl	smpl	NOUN
ajst-20221	127	2	-	-	PUNCT
ajst-20221	127	3	x	x	PROPN
ajst-20221	127	4	refifinement	refifinement	NOUN
ajst-20221	127	5	intuitively	intuitively	ADV
ajst-20221	127	6	,	,	PUNCT
ajst-20221	127	7	a	a	DET
ajst-20221	127	8	more	more	ADV
ajst-20221	127	9	accurate	accurate	ADJ
ajst-20221	127	10	smpl	smpl	NOUN
ajst-20221	127	11	-	-	PUNCT
ajst-20221	127	12	x	x	NOUN
ajst-20221	127	13	body	body	NOUN
ajst-20221	127	14	model	model	NOUN
ajst-20221	127	15	provides	provide	VERB
ajst-20221	127	16	a	a	PRON
ajst-20221	127	17	better	well	ADJ
ajst-20221	127	18	a	a	PRON
ajst-20221	127	19	priori	priori	ADV
ajst-20221	127	20	,	,	PUNCT
ajst-20221	127	21	helping	help	VERB
ajst-20221	127	22	to	to	PART
ajst-20221	127	23	infer	infer	VERB
ajst-20221	127	24	better	well	ADJ
ajst-20221	127	25	clothing	clothing	NOUN
ajst-20221	127	26	body	body	NOUN
ajst-20221	127	27	normal	normal	ADJ
ajst-20221	127	28	.	.	PUNCT
ajst-20221	128	1	in	in	ADP
ajst-20221	128	2	practice	practice	NOUN
ajst-20221	128	3	,	,	PUNCT
ajst-20221	128	4	however	however	ADV
ajst-20221	128	5	,	,	PUNCT
ajst-20221	128	6	the	the	DET
ajst-20221	128	7	human	human	ADJ
ajst-20221	128	8	pose	pose	NOUN
ajst-20221	128	9	and	and	CCONJ
ajst-20221	128	10	shape	shape	NOUN
ajst-20221	128	11	(	(	PUNCT
ajst-20221	128	12	pixie	pixie	NOUN
ajst-20221	128	13	)	)	PUNCT
ajst-20221	128	14	regression	regression	NOUN
ajst-20221	128	15	variable	variable	NOUN
ajst-20221	128	16	does	do	AUX
ajst-20221	128	17	not	not	PART
ajst-20221	128	18	give	give	VERB
ajst-20221	128	19	an	an	DET
ajst-20221	128	20	smpl	smpl	NOUN
ajst-20221	128	21	-	-	PUNCT
ajst-20221	128	22	x	x	NOUN
ajst-20221	128	23	fit	fit	NOUN
ajst-20221	128	24	for	for	ADP
ajst-20221	128	25	pixel	pixel	NOUN
ajst-20221	128	26	alignment	alignment	NOUN
ajst-20221	128	27	.	.	PUNCT
ajst-20221	129	1	to	to	PART
ajst-20221	129	2	account	account	VERB
ajst-20221	129	3	for	for	ADP
ajst-20221	129	4	this	this	PRON
ajst-20221	129	5	,	,	PUNCT
ajst-20221	129	6	during	during	ADP
ajst-20221	129	7	inference	inference	NOUN
ajst-20221	129	8	,	,	PUNCT
ajst-20221	129	9	the	the	DET
ajst-20221	129	10	smplx	smplx	NOUN
ajst-20221	129	11	fits	fit	NOUN
ajst-20221	129	12	are	be	AUX
ajst-20221	129	13	optimized	optimize	VERB
ajst-20221	129	14	based	base	VERB
ajst-20221	129	15	on	on	ADP
ajst-20221	129	16	the	the	DET
ajst-20221	129	17	difference	difference	NOUN
ajst-20221	129	18	between	between	ADP
ajst-20221	129	19	the	the	DET
ajst-20221	129	20	rendered	render	VERB
ajst-20221	129	21	smpl	smpl	NOUN
ajst-20221	129	22	-	-	PUNCT
ajst-20221	129	23	body	body	NOUN
ajst-20221	129	24	normal	normal	ADJ
ajst-20221	129	25	maps	map	NOUN
ajst-20221	129	26	,	,	PUNCT
ajst-20221	129	27	and	and	CCONJ
ajst-20221	129	28	the	the	DET
ajst-20221	129	29	predicted	predict	VERB
ajst-20221	129	30	clothed	clothe	VERB
ajst-20221	129	31	-	-	PUNCT
ajst-20221	129	32	body	body	NOUN
ajst-20221	129	33	normal	normal	ADJ
ajst-20221	129	34	maps	map	NOUN
ajst-20221	129	35	,	,	PUNCT
ajst-20221	129	36	as	as	SCONJ
ajst-20221	129	37	shown	show	VERB
ajst-20221	129	38	in	in	ADP
ajst-20221	129	39	fig	fig	NOUN
ajst-20221	129	40	.	.	PUNCT
ajst-20221	130	1	4	4	NUM
ajst-20221	130	2	figure	figure	NOUN
ajst-20221	130	3	4	4	NUM
ajst-20221	130	4	.	.	PUNCT
ajst-20221	130	5	smpl	smpl	NOUN
ajst-20221	130	6	-	-	PUNCT
ajst-20221	130	7	x	x	PROPN
ajst-20221	130	8	refifinement	refifinement	ADV
ajst-20221	130	9	using	use	VERB
ajst-20221	130	10	a	a	DET
ajst-20221	130	11	feedback	feedback	NOUN
ajst-20221	130	12	loop	loop	NOUN
ajst-20221	130	13	.	.	PUNCT
ajst-20221	131	1	3.4	3.4	NUM
ajst-20221	131	2	.	.	PUNCT
ajst-20221	131	3	results	result	NOUN
ajst-20221	131	4	as	as	SCONJ
ajst-20221	131	5	shown	show	VERB
ajst-20221	131	6	in	in	ADP
ajst-20221	131	7	figure	figure	NOUN
ajst-20221	131	8	5	5	NUM
ajst-20221	131	9	,	,	PUNCT
ajst-20221	131	10	the	the	DET
ajst-20221	131	11	human	human	ADJ
ajst-20221	131	12	body	body	NOUN
ajst-20221	131	13	mesh	mesh	VERB
ajst-20221	131	14	with	with	ADP
ajst-20221	131	15	texture	texture	NOUN
ajst-20221	131	16	reconstructed	reconstruct	VERB
ajst-20221	131	17	from	from	ADP
ajst-20221	131	18	a	a	DET
ajst-20221	131	19	single	single	ADJ
ajst-20221	131	20	image	image	NOUN
ajst-20221	131	21	is	be	AUX
ajst-20221	131	22	shown	show	VERB
ajst-20221	131	23	.	.	PUNCT
ajst-20221	132	1	it	it	PRON
ajst-20221	132	2	can	can	AUX
ajst-20221	132	3	be	be	AUX
ajst-20221	132	4	seen	see	VERB
ajst-20221	132	5	that	that	SCONJ
ajst-20221	132	6	the	the	DET
ajst-20221	132	7	human	human	ADJ
ajst-20221	132	8	body	body	NOUN
ajst-20221	132	9	mesh	mesh	NOUN
ajst-20221	132	10	can	can	AUX
ajst-20221	132	11	be	be	AUX
ajst-20221	132	12	well	well	ADV
ajst-20221	132	13	reconstructed	reconstruct	VERB
ajst-20221	132	14	by	by	ADP
ajst-20221	132	15	the	the	DET
ajst-20221	132	16	method	method	NOUN
ajst-20221	132	17	proposed	propose	VERB
ajst-20221	132	18	in	in	ADP
ajst-20221	132	19	this	this	DET
ajst-20221	132	20	paper	paper	NOUN
ajst-20221	132	21	even	even	ADV
ajst-20221	132	22	in	in	ADP
ajst-20221	132	23	extreme	extreme	ADJ
ajst-20221	132	24	movement	movement	NOUN
ajst-20221	132	25	posture	posture	NOUN
ajst-20221	132	26	and	and	CCONJ
ajst-20221	132	27	only	only	ADV
ajst-20221	132	28	one	one	NUM
ajst-20221	132	29	image	image	NOUN
ajst-20221	132	30	is	be	AUX
ajst-20221	132	31	needed	need	VERB
ajst-20221	132	32	,	,	PUNCT
ajst-20221	132	33	and	and	CCONJ
ajst-20221	132	34	the	the	DET
ajst-20221	132	35	texture	texture	ADJ
ajst-20221	132	36	inference	inference	NOUN
ajst-20221	132	37	of	of	ADP
ajst-20221	132	38	invisible	invisible	ADJ
ajst-20221	132	39	areas	area	NOUN
ajst-20221	132	40	in	in	ADP
ajst-20221	132	41	this	this	DET
ajst-20221	132	42	paper	paper	NOUN
ajst-20221	132	43	still	still	ADV
ajst-20221	132	44	has	have	VERB
ajst-20221	132	45	a	a	DET
ajst-20221	132	46	good	good	ADJ
ajst-20221	132	47	effect	effect	NOUN
ajst-20221	132	48	0	0	NUM
ajst-20221	132	49	0.25	0.25	NUM
ajst-20221	132	50	0.5	0.5	NUM
ajst-20221	132	51	0.75	0.75	NUM
ajst-20221	132	52	1	1	NUM
ajst-20221	132	53	0.1	0.1	NUM
ajst-20221	132	54	0.2	0.2	NUM
ajst-20221	132	55	0.3	0.3	NUM
ajst-20221	132	56	c	c	NOUN
ajst-20221	132	57	h	h	NOUN
ajst-20221	132	58	am	be	AUX
ajst-20221	132	59	fe	fe	X
ajst-20221	132	60	r	r	NOUN
ajst-20221	132	61	d	d	NOUN
ajst-20221	132	62	is	be	AUX
ajst-20221	132	63	ti	ti	X
ajst-20221	132	64	n	n	X
ajst-20221	132	65	ce	ce	PROPN
ajst-20221	132	66	(	(	PUNCT
ajst-20221	132	67	c	c	NOUN
ajst-20221	132	68	m	m	NOUN
ajst-20221	132	69	)	)	PUNCT
ajst-20221	132	70	noise	noise	NOUN
ajst-20221	132	71	level	level	NOUN
ajst-20221	132	72	(	(	PUNCT
ajst-20221	132	73	)	)	PUNCT
ajst-20221	132	74	normal	normal	ADJ
ajst-20221	132	75	silhoucttc	silhoucttc	PROPN
ajst-20221	132	76	silhoucttc+normal	silhoucttc+normal	PROPN
ajst-20221	132	77	silhoucttc+normal+joint	silhoucttc+normal+joint	NOUN
ajst-20221	132	78	w/o	w/o	ADP
ajst-20221	132	79	optimization	optimization	NOUN
ajst-20221	132	80	218	218	NUM
ajst-20221	132	81	without	without	ADP
ajst-20221	132	82	the	the	DET
ajst-20221	132	83	help	help	NOUN
ajst-20221	132	84	of	of	ADP
ajst-20221	132	85	additional	additional	ADJ
ajst-20221	132	86	input	input	NOUN
ajst-20221	132	87	.	.	PUNCT
ajst-20221	133	1	figure	figure	NOUN
ajst-20221	133	2	5	5	NUM
ajst-20221	133	3	.	.	PUNCT
ajst-20221	134	1	the	the	DET
ajst-20221	134	2	front	front	ADJ
ajst-20221	134	3	and	and	CCONJ
ajst-20221	134	4	back	back	ADJ
ajst-20221	134	5	texture	texture	NOUN
ajst-20221	134	6	of	of	ADP
ajst-20221	134	7	the	the	DET
ajst-20221	134	8	body	body	NOUN
ajst-20221	134	9	4	4	NUM
ajst-20221	134	10	.	.	PUNCT
ajst-20221	134	11	conclusion	conclusion	NOUN
ajst-20221	134	12	this	this	DET
ajst-20221	134	13	paper	paper	NOUN
ajst-20221	134	14	presents	present	VERB
ajst-20221	134	15	an	an	DET
ajst-20221	134	16	end	end	NOUN
ajst-20221	134	17	-	-	PUNCT
ajst-20221	134	18	to	to	ADP
ajst-20221	134	19	-	-	PUNCT
ajst-20221	134	20	end	end	VERB
ajst-20221	134	21	whole	whole	ADJ
ajst-20221	134	22	-	-	PUNCT
ajst-20221	134	23	body	body	NOUN
ajst-20221	134	24	reconstruction	reconstruction	NOUN
ajst-20221	134	25	based	base	VERB
ajst-20221	134	26	on	on	ADP
ajst-20221	134	27	single	single	ADJ
ajst-20221	134	28	rgb	rgb	PROPN
ajst-20221	134	29	.	.	PUNCT
ajst-20221	135	1	even	even	ADV
ajst-20221	135	2	for	for	ADP
ajst-20221	135	3	invisible	invisible	ADJ
ajst-20221	135	4	areas	area	NOUN
ajst-20221	135	5	,	,	PUNCT
ajst-20221	135	6	it	it	PRON
ajst-20221	135	7	still	still	ADV
ajst-20221	135	8	has	have	VERB
ajst-20221	135	9	a	a	DET
ajst-20221	135	10	good	good	ADJ
ajst-20221	135	11	experimental	experimental	ADJ
ajst-20221	135	12	effect	effect	NOUN
ajst-20221	135	13	and	and	CCONJ
ajst-20221	135	14	can	can	AUX
ajst-20221	135	15	complete	complete	VERB
ajst-20221	135	16	more	more	ADV
ajst-20221	135	17	detailed	detailed	ADJ
ajst-20221	135	18	textures	texture	NOUN
ajst-20221	135	19	.	.	PUNCT
ajst-20221	136	1	using	use	VERB
ajst-20221	136	2	smpl	smpl	NOUN
ajst-20221	136	3	-	-	PUNCT
ajst-20221	136	4	x	x	NOUN
ajst-20221	136	5	normals	normal	NOUN
ajst-20221	136	6	as	as	ADP
ajst-20221	136	7	a	a	DET
ajst-20221	136	8	guide	guide	NOUN
ajst-20221	136	9	,	,	PUNCT
ajst-20221	136	10	the	the	DET
ajst-20221	136	11	back	back	ADJ
ajst-20221	136	12	view	view	NOUN
ajst-20221	136	13	features	feature	NOUN
ajst-20221	136	14	are	be	AUX
ajst-20221	136	15	effectively	effectively	ADV
ajst-20221	136	16	decoupled	decouple	VERB
ajst-20221	136	17	during	during	ADP
ajst-20221	136	18	the	the	DET
ajst-20221	136	19	conversion	conversion	NOUN
ajst-20221	136	20	of	of	ADP
ajst-20221	136	21	2d	2d	PROPN
ajst-20221	136	22	features	feature	NOUN
ajst-20221	136	23	to	to	ADP
ajst-20221	136	24	3d	3d	NUM
ajst-20221	136	25	.	.	PUNCT
ajst-20221	137	1	future	future	ADJ
ajst-20221	137	2	work	work	NOUN
ajst-20221	137	3	is	be	AUX
ajst-20221	137	4	to	to	PART
ajst-20221	137	5	introduce	introduce	VERB
ajst-20221	137	6	diffusion	diffusion	NOUN
ajst-20221	137	7	models	model	NOUN
ajst-20221	137	8	for	for	ADP
ajst-20221	137	9	more	more	ADJ
ajst-20221	137	10	refined	refined	ADJ
ajst-20221	137	11	whole	whole	ADJ
ajst-20221	137	12	-	-	PUNCT
ajst-20221	137	13	body	body	NOUN
ajst-20221	137	14	texture	texture	NOUN
ajst-20221	137	15	reconstruction	reconstruction	NOUN
ajst-20221	137	16	references	reference	NOUN
ajst-20221	137	17	[	[	X
ajst-20221	137	18	1	1	NUM
ajst-20221	137	19	]	]	X
ajst-20221	137	20	loper	loper	PROPN
ajst-20221	137	21	m	m	PROPN
ajst-20221	137	22	,	,	PUNCT
ajst-20221	137	23	mahmood	mahmood	PROPN
ajst-20221	137	24	n	n	CCONJ
ajst-20221	137	25	,	,	PUNCT
ajst-20221	137	26	romero	romero	PROPN
ajst-20221	137	27	j	j	PROPN
ajst-20221	137	28	,	,	PUNCT
ajst-20221	137	29	et	et	PROPN
ajst-20221	137	30	al	al	PROPN
ajst-20221	137	31	.	.	PROPN
ajst-20221	137	32	smpl	smpl	PROPN
ajst-20221	137	33	:	:	PUNCT
ajst-20221	137	34	a	a	DET
ajst-20221	137	35	skinned	skinned	ADJ
ajst-20221	137	36	multi	multi	ADJ
ajst-20221	137	37	-	-	ADJ
ajst-20221	137	38	person	person	NOUN
ajst-20221	137	39	linear	linear	NOUN
ajst-20221	137	40	model[j	model[j	PROPN
ajst-20221	137	41	]	]	PUNCT
ajst-20221	137	42	.	.	PUNCT
ajst-20221	138	1	acm	acm	PROPN
ajst-20221	138	2	transactions	transaction	NOUN
ajst-20221	138	3	on	on	ADP
ajst-20221	138	4	graphics	graphic	NOUN
ajst-20221	138	5	,	,	PUNCT
ajst-20221	138	6	2015	2015	NUM
ajst-20221	138	7	,	,	PUNCT
ajst-20221	138	8	34(6	34(6	NUM
ajst-20221	138	9	)	)	PUNCT
ajst-20221	138	10	.	.	PUNCT
ajst-20221	139	1	[	[	X
ajst-20221	139	2	2	2	NUM
ajst-20221	139	3	]	]	PUNCT
ajst-20221	139	4	osman	osman	NOUN
ajst-20221	139	5	a	a	DET
ajst-20221	139	6	a	a	DET
ajst-20221	139	7	a	a	NOUN
ajst-20221	139	8	,	,	PUNCT
ajst-20221	139	9	bolkart	bolkart	PROPN
ajst-20221	139	10	t	t	PROPN
ajst-20221	139	11	,	,	PUNCT
ajst-20221	139	12	black	black	PROPN
ajst-20221	139	13	m	m	PROPN
ajst-20221	139	14	j.	j.	PROPN
ajst-20221	139	15	star	star	PROPN
ajst-20221	139	16	:	:	PUNCT
ajst-20221	139	17	sparse	sparse	VERB
ajst-20221	139	18	trained	train	VERB
ajst-20221	139	19	articulated	articulated	ADJ
ajst-20221	139	20	human	human	ADJ
ajst-20221	139	21	body	body	NOUN
ajst-20221	139	22	regressor[c]//computer	regressor[c]//computer	NOUN
ajst-20221	139	23	vision	vision	NOUN
ajst-20221	139	24	–	–	PUNCT
ajst-20221	139	25	eccv	eccv	ADV
ajst-20221	139	26	2020	2020	NUM
ajst-20221	139	27	:	:	PUNCT
ajst-20221	139	28	16th	16th	ADJ
ajst-20221	139	29	european	european	ADJ
ajst-20221	139	30	conference	conference	PROPN
ajst-20221	139	31	,	,	PUNCT
ajst-20221	139	32	glasgow	glasgow	PROPN
ajst-20221	139	33	,	,	PUNCT
ajst-20221	139	34	uk	uk	PROPN
ajst-20221	139	35	,	,	PUNCT
ajst-20221	139	36	august	august	PROPN
ajst-20221	139	37	23–28	23–28	NUM
ajst-20221	139	38	,	,	PUNCT
ajst-20221	139	39	2020	2020	NUM
ajst-20221	139	40	,	,	PUNCT
ajst-20221	139	41	proceedings	proceeding	NOUN
ajst-20221	139	42	,	,	PUNCT
ajst-20221	139	43	part	part	NOUN
ajst-20221	139	44	vi	vi	PROPN
ajst-20221	139	45	16	16	NUM
ajst-20221	139	46	.	.	PUNCT
ajst-20221	140	1	springer	springer	NOUN
ajst-20221	140	2	international	international	ADJ
ajst-20221	140	3	publishing	publishing	NOUN
ajst-20221	140	4	,	,	PUNCT
ajst-20221	140	5	2020	2020	NUM
ajst-20221	140	6	:	:	PUNCT
ajst-20221	140	7	598	598	NUM
ajst-20221	140	8	-	-	SYM
ajst-20221	140	9	613	613	NUM
ajst-20221	140	10	.	.	PUNCT
ajst-20221	141	1	[	[	X
ajst-20221	141	2	3	3	X
ajst-20221	141	3	]	]	PUNCT
ajst-20221	141	4	pavlakos	pavlakos	NOUN
ajst-20221	141	5	g	g	PROPN
ajst-20221	141	6	,	,	PUNCT
ajst-20221	141	7	choutas	choutas	PROPN
ajst-20221	141	8	v	v	NOUN
ajst-20221	141	9	,	,	PUNCT
ajst-20221	141	10	ghorbani	ghorbani	NOUN
ajst-20221	141	11	n	n	CCONJ
ajst-20221	141	12	,	,	PUNCT
ajst-20221	141	13	et	et	PROPN
ajst-20221	141	14	al	al	PROPN
ajst-20221	141	15	.	.	PROPN
ajst-20221	141	16	expressive	expressive	ADJ
ajst-20221	141	17	body	body	NOUN
ajst-20221	141	18	capture	capture	NOUN
ajst-20221	141	19	:	:	PUNCT
ajst-20221	141	20	3d	3d	NUM
ajst-20221	141	21	hands	hand	NOUN
ajst-20221	141	22	,	,	PUNCT
ajst-20221	141	23	face	face	NOUN
ajst-20221	141	24	,	,	PUNCT
ajst-20221	141	25	and	and	CCONJ
ajst-20221	141	26	body	body	NOUN
ajst-20221	141	27	from	from	ADP
ajst-20221	141	28	a	a	DET
ajst-20221	141	29	single	single	ADJ
ajst-20221	141	30	image[c]//proceedings	image[c]//proceeding	NOUN
ajst-20221	141	31	of	of	ADP
ajst-20221	141	32	the	the	DET
ajst-20221	141	33	ieee	ieee	NOUN
ajst-20221	141	34	/	/	SYM
ajst-20221	141	35	cvf	cvf	NOUN
ajst-20221	141	36	conference	conference	NOUN
ajst-20221	141	37	on	on	ADP
ajst-20221	141	38	computer	computer	NOUN
ajst-20221	141	39	vision	vision	NOUN
ajst-20221	141	40	and	and	CCONJ
ajst-20221	141	41	pattern	pattern	NOUN
ajst-20221	141	42	recognition	recognition	NOUN
ajst-20221	141	43	.	.	PUNCT
ajst-20221	142	1	2019	2019	NUM
ajst-20221	142	2	:	:	PUNCT
ajst-20221	142	3	10975	10975	NUM
ajst-20221	142	4	-	-	SYM
ajst-20221	142	5	10985	10985	NUM
ajst-20221	142	6	.	.	PUNCT
ajst-20221	143	1	[	[	X
ajst-20221	143	2	4	4	NUM
ajst-20221	143	3	]	]	X
ajst-20221	143	4	corona	corona	NOUN
ajst-20221	143	5	e	e	NOUN
ajst-20221	143	6	,	,	PUNCT
ajst-20221	143	7	pumarola	pumarola	PROPN
ajst-20221	143	8	a	a	X
ajst-20221	143	9	,	,	PUNCT
ajst-20221	143	10	alenya	alenya	NOUN
ajst-20221	143	11	g	g	PROPN
ajst-20221	143	12	,	,	PUNCT
ajst-20221	143	13	et	et	PROPN
ajst-20221	143	14	al	al	PROPN
ajst-20221	143	15	.	.	PROPN
ajst-20221	143	16	smplicit	smplicit	PROPN
ajst-20221	143	17	:	:	PUNCT
ajst-20221	143	18	topologyaware	topologyaware	VERB
ajst-20221	143	19	generative	generative	ADJ
ajst-20221	143	20	model	model	NOUN
ajst-20221	143	21	for	for	ADP
ajst-20221	143	22	clothed	clothe	VERB
ajst-20221	143	23	people[c]//proceedings	people[c]//proceeding	NOUN
ajst-20221	143	24	of	of	ADP
ajst-20221	143	25	the	the	DET
ajst-20221	143	26	ieee	ieee	NOUN
ajst-20221	143	27	/	/	SYM
ajst-20221	143	28	cvf	cvf	NOUN
ajst-20221	143	29	conference	conference	NOUN
ajst-20221	143	30	on	on	ADP
ajst-20221	143	31	computer	computer	NOUN
ajst-20221	143	32	vision	vision	NOUN
ajst-20221	143	33	and	and	CCONJ
ajst-20221	143	34	pattern	pattern	NOUN
ajst-20221	143	35	recognition	recognition	NOUN
ajst-20221	143	36	.	.	PUNCT
ajst-20221	144	1	2021	2021	NUM
ajst-20221	144	2	:	:	PUNCT
ajst-20221	144	3	11875	11875	NUM
ajst-20221	144	4	-	-	SYM
ajst-20221	144	5	11885	11885	NUM
ajst-20221	144	6	.	.	PUNCT
ajst-20221	145	1	[	[	X
ajst-20221	145	2	5	5	X
ajst-20221	145	3	]	]	X
ajst-20221	145	4	saito	saito	PROPN
ajst-20221	145	5	s	s	PROPN
ajst-20221	145	6	,	,	PUNCT
ajst-20221	145	7	huang	huang	PROPN
ajst-20221	145	8	z	z	PROPN
ajst-20221	145	9	,	,	PUNCT
ajst-20221	145	10	natsume	natsume	NOUN
ajst-20221	145	11	r	r	PROPN
ajst-20221	145	12	,	,	PUNCT
ajst-20221	145	13	et	et	PROPN
ajst-20221	145	14	al	al	PROPN
ajst-20221	145	15	.	.	PROPN
ajst-20221	145	16	pifu	pifu	PROPN
ajst-20221	145	17	:	:	PUNCT
ajst-20221	145	18	pixel	pixel	ADJ
ajst-20221	145	19	-	-	PUNCT
ajst-20221	145	20	aligned	aligned	ADJ
ajst-20221	145	21	implicit	implicit	ADJ
ajst-20221	145	22	function	function	NOUN
ajst-20221	145	23	for	for	ADP
ajst-20221	145	24	high	high	ADJ
ajst-20221	145	25	-	-	PUNCT
ajst-20221	145	26	resolution	resolution	NOUN
ajst-20221	145	27	clothed	clothe	VERB
ajst-20221	145	28	human	human	ADJ
ajst-20221	145	29	digitization[c]//proceedings	digitization[c]//proceeding	NOUN
ajst-20221	145	30	of	of	ADP
ajst-20221	145	31	the	the	DET
ajst-20221	145	32	ieee	ieee	NOUN
ajst-20221	145	33	/	/	SYM
ajst-20221	145	34	cvf	cvf	NOUN
ajst-20221	145	35	international	international	ADJ
ajst-20221	145	36	conference	conference	NOUN
ajst-20221	145	37	on	on	ADP
ajst-20221	145	38	computer	computer	NOUN
ajst-20221	145	39	vision	vision	NOUN
ajst-20221	145	40	.	.	PUNCT
ajst-20221	146	1	2019	2019	NUM
ajst-20221	146	2	:	:	PUNCT
ajst-20221	146	3	2304	2304	NUM
ajst-20221	146	4	-	-	SYM
ajst-20221	146	5	2314	2314	NUM
ajst-20221	146	6	.	.	PUNCT
ajst-20221	147	1	[	[	X
ajst-20221	147	2	6	6	NUM
ajst-20221	147	3	]	]	X
ajst-20221	147	4	saito	saito	PROPN
ajst-20221	147	5	s	s	PROPN
ajst-20221	147	6	,	,	PUNCT
ajst-20221	147	7	simon	simon	PROPN
ajst-20221	147	8	t	t	PROPN
ajst-20221	147	9	,	,	PUNCT
ajst-20221	147	10	saragih	saragih	PROPN
ajst-20221	147	11	j	j	PROPN
ajst-20221	147	12	,	,	PUNCT
ajst-20221	148	1	et	et	PROPN
ajst-20221	148	2	al	al	PROPN
ajst-20221	148	3	.	.	PUNCT
ajst-20221	148	4	pifuhd	pifuhd	PROPN
ajst-20221	148	5	:	:	PUNCT
ajst-20221	148	6	multi	multi	ADJ
ajst-20221	148	7	-	-	ADJ
ajst-20221	148	8	level	level	ADJ
ajst-20221	148	9	pixelaligned	pixelaligne	VERB
ajst-20221	148	10	implicit	implicit	ADJ
ajst-20221	148	11	function	function	NOUN
ajst-20221	148	12	for	for	ADP
ajst-20221	148	13	high	high	ADJ
ajst-20221	148	14	-	-	PUNCT
ajst-20221	148	15	resolution	resolution	NOUN
ajst-20221	148	16	3d	3d	NUM
ajst-20221	148	17	human	human	ADJ
ajst-20221	148	18	digitization[c]//proceedings	digitization[c]//proceeding	NOUN
ajst-20221	148	19	of	of	ADP
ajst-20221	148	20	the	the	DET
ajst-20221	148	21	ieee	ieee	NOUN
ajst-20221	148	22	/	/	SYM
ajst-20221	148	23	cvf	cvf	NOUN
ajst-20221	148	24	conference	conference	NOUN
ajst-20221	148	25	on	on	ADP
ajst-20221	148	26	computer	computer	NOUN
ajst-20221	148	27	vision	vision	NOUN
ajst-20221	148	28	and	and	CCONJ
ajst-20221	148	29	pattern	pattern	NOUN
ajst-20221	148	30	recognition	recognition	NOUN
ajst-20221	148	31	.	.	PUNCT
ajst-20221	149	1	2020	2020	NUM
ajst-20221	149	2	:	:	PUNCT
ajst-20221	149	3	84	84	NUM
ajst-20221	149	4	-	-	SYM
ajst-20221	149	5	93	93	NUM
ajst-20221	149	6	.	.	PUNCT
ajst-20221	150	1	[	[	X
ajst-20221	150	2	7	7	X
ajst-20221	150	3	]	]	X
ajst-20221	150	4	xiu	xiu	PROPN
ajst-20221	150	5	y	y	PROPN
ajst-20221	150	6	,	,	PUNCT
ajst-20221	150	7	yang	yang	PROPN
ajst-20221	150	8	j	j	PROPN
ajst-20221	150	9	,	,	PUNCT
ajst-20221	150	10	tzionas	tzionas	PROPN
ajst-20221	150	11	d	d	PROPN
ajst-20221	150	12	,	,	PUNCT
ajst-20221	150	13	et	et	PROPN
ajst-20221	150	14	al	al	PROPN
ajst-20221	150	15	.	.	PROPN
ajst-20221	150	16	icon	icon	PROPN
ajst-20221	150	17	:	:	PUNCT
ajst-20221	150	18	implicit	implicit	ADJ
ajst-20221	150	19	clothed	clothe	VERB
ajst-20221	150	20	humans	human	NOUN
ajst-20221	150	21	obtained	obtain	VERB
ajst-20221	150	22	from	from	ADP
ajst-20221	150	23	normals[c]//2022	normals[c]//2022	PROPN
ajst-20221	150	24	ieee	ieee	NOUN
ajst-20221	150	25	/	/	SYM
ajst-20221	150	26	cvf	cvf	NOUN
ajst-20221	150	27	conference	conference	NOUN
ajst-20221	150	28	on	on	ADP
ajst-20221	150	29	computer	computer	NOUN
ajst-20221	150	30	vision	vision	NOUN
ajst-20221	150	31	and	and	CCONJ
ajst-20221	150	32	pattern	pattern	NOUN
ajst-20221	150	33	recognition	recognition	NOUN
ajst-20221	150	34	(	(	PUNCT
ajst-20221	150	35	cvpr	cvpr	NOUN
ajst-20221	150	36	)	)	PUNCT
ajst-20221	150	37	.	.	PUNCT
ajst-20221	151	1	ieee	ieee	NOUN
ajst-20221	151	2	,	,	PUNCT
ajst-20221	151	3	2022	2022	NUM
ajst-20221	151	4	:	:	PUNCT
ajst-20221	151	5	13286	13286	NUM
ajst-20221	151	6	-	-	SYM
ajst-20221	151	7	13296	13296	NUM
ajst-20221	151	8	.	.	PUNCT
ajst-20221	152	1	[	[	X
ajst-20221	152	2	8	8	NUM
ajst-20221	152	3	]	]	X
ajst-20221	152	4	isola	isola	PROPN
ajst-20221	152	5	p	p	X
ajst-20221	152	6	,	,	PUNCT
ajst-20221	152	7	zhu	zhu	PROPN
ajst-20221	152	8	j	j	PROPN
ajst-20221	152	9	y	y	PROPN
ajst-20221	152	10	,	,	PUNCT
ajst-20221	152	11	zhou	zhou	PROPN
ajst-20221	152	12	t	t	PROPN
ajst-20221	152	13	,	,	PUNCT
ajst-20221	152	14	et	et	PROPN
ajst-20221	152	15	al	al	PROPN
ajst-20221	152	16	.	.	PUNCT
ajst-20221	152	17	image	image	PROPN
ajst-20221	152	18	-	-	PUNCT
ajst-20221	152	19	to	to	ADP
ajst-20221	152	20	-	-	PUNCT
ajst-20221	152	21	image	image	NOUN
ajst-20221	152	22	translation	translation	NOUN
ajst-20221	152	23	with	with	ADP
ajst-20221	152	24	conditional	conditional	ADJ
ajst-20221	152	25	adversarial	adversarial	ADJ
ajst-20221	152	26	networks[c]//proceedings	networks[c]//proceeding	NOUN
ajst-20221	152	27	of	of	ADP
ajst-20221	152	28	the	the	DET
ajst-20221	152	29	ieee	ieee	NOUN
ajst-20221	152	30	conference	conference	NOUN
ajst-20221	152	31	on	on	ADP
ajst-20221	152	32	computer	computer	NOUN
ajst-20221	152	33	vision	vision	NOUN
ajst-20221	152	34	and	and	CCONJ
ajst-20221	152	35	pattern	pattern	NOUN
ajst-20221	152	36	recognition	recognition	NOUN
ajst-20221	152	37	.	.	PUNCT
ajst-20221	153	1	2017	2017	NUM
ajst-20221	153	2	:	:	PUNCT
ajst-20221	153	3	1125	1125	NUM
ajst-20221	153	4	-	-	SYM
ajst-20221	153	5	1134	1134	NUM
ajst-20221	153	6	.	.	PUNCT
ajst-20221	154	1	[	[	X
ajst-20221	154	2	9	9	NUM
ajst-20221	154	3	]	]	PUNCT
ajst-20221	154	4	mildenhall	mildenhall	NOUN
ajst-20221	154	5	b	b	PROPN
ajst-20221	154	6	,	,	PUNCT
ajst-20221	154	7	srinivasan	srinivasan	NOUN
ajst-20221	154	8	p	p	PROPN
ajst-20221	154	9	p	p	PROPN
ajst-20221	154	10	,	,	PUNCT
ajst-20221	154	11	tancik	tancik	PROPN
ajst-20221	154	12	m	m	PROPN
ajst-20221	154	13	,	,	PUNCT
ajst-20221	154	14	et	et	PROPN
ajst-20221	154	15	al	al	PROPN
ajst-20221	154	16	.	.	PROPN
ajst-20221	154	17	nerf	nerf	PROPN
ajst-20221	154	18	:	:	PUNCT
ajst-20221	154	19	representing	represent	VERB
ajst-20221	154	20	scenes	scene	NOUN
ajst-20221	154	21	as	as	ADP
ajst-20221	154	22	neural	neural	ADJ
ajst-20221	154	23	radiance	radiance	NOUN
ajst-20221	154	24	fields	field	NOUN
ajst-20221	154	25	for	for	ADP
ajst-20221	154	26	view	view	NOUN
ajst-20221	154	27	synthesis[j	synthesis[j	PROPN
ajst-20221	154	28	]	]	PUNCT
ajst-20221	154	29	.	.	PUNCT
ajst-20221	155	1	communications	communication	NOUN
ajst-20221	155	2	of	of	ADP
ajst-20221	155	3	the	the	DET
ajst-20221	155	4	acm	acm	NOUN
ajst-20221	155	5	,	,	PUNCT
ajst-20221	155	6	2021	2021	NUM
ajst-20221	155	7	,	,	PUNCT
ajst-20221	155	8	65(1	65(1	NOUN
ajst-20221	155	9	):	):	PUNCT
ajst-20221	155	10	99106	99106	NUM
ajst-20221	155	11	.	.	PUNCT
ajst-20221	156	1	[	[	X
ajst-20221	156	2	10	10	NUM
ajst-20221	156	3	]	]	X
ajst-20221	156	4	peng	peng	PROPN
ajst-20221	156	5	s	s	PROPN
ajst-20221	156	6	,	,	PUNCT
ajst-20221	156	7	zhang	zhang	PROPN
ajst-20221	156	8	y	y	PROPN
ajst-20221	156	9	,	,	PUNCT
ajst-20221	156	10	xu	xu	PROPN
ajst-20221	156	11	y	y	PROPN
ajst-20221	156	12	,	,	PUNCT
ajst-20221	156	13	et	et	PROPN
ajst-20221	156	14	al	al	PROPN
ajst-20221	156	15	.	.	PROPN
ajst-20221	156	16	neural	neural	ADJ
ajst-20221	156	17	body	body	NOUN
ajst-20221	156	18	:	:	PUNCT
ajst-20221	156	19	implicit	implicit	ADJ
ajst-20221	156	20	neural	neural	ADJ
ajst-20221	156	21	representations	representation	NOUN
ajst-20221	156	22	with	with	ADP
ajst-20221	156	23	structured	structured	ADJ
ajst-20221	156	24	latent	latent	NOUN
ajst-20221	156	25	codes	code	NOUN
ajst-20221	156	26	for	for	ADP
ajst-20221	156	27	novel	novel	ADJ
ajst-20221	156	28	view	view	NOUN
ajst-20221	156	29	synthesis	synthesis	NOUN
ajst-20221	156	30	of	of	ADP
ajst-20221	156	31	dynamic	dynamic	ADJ
ajst-20221	156	32	humans[c]//proceedings	humans[c]//proceeding	NOUN
ajst-20221	156	33	of	of	ADP
ajst-20221	156	34	the	the	DET
ajst-20221	156	35	ieee	ieee	NOUN
ajst-20221	156	36	/	/	SYM
ajst-20221	156	37	cvf	cvf	NOUN
ajst-20221	156	38	conference	conference	NOUN
ajst-20221	156	39	on	on	ADP
ajst-20221	156	40	computer	computer	NOUN
ajst-20221	156	41	vision	vision	NOUN
ajst-20221	156	42	and	and	CCONJ
ajst-20221	156	43	pattern	pattern	NOUN
ajst-20221	156	44	recognition	recognition	NOUN
ajst-20221	156	45	.	.	PUNCT
ajst-20221	157	1	2021	2021	NUM
ajst-20221	157	2	:	:	PUNCT
ajst-20221	157	3	9054	9054	NUM
ajst-20221	157	4	-	-	SYM
ajst-20221	157	5	9063	9063	NUM
ajst-20221	157	6	.	.	PUNCT
ajst-20221	158	1	[	[	X
ajst-20221	158	2	11	11	NUM
ajst-20221	158	3	]	]	X
ajst-20221	158	4	liu	liu	PROPN
ajst-20221	158	5	l	l	PROPN
ajst-20221	158	6	,	,	PUNCT
ajst-20221	158	7	habermann	habermann	PROPN
ajst-20221	158	8	m	m	PROPN
ajst-20221	158	9	,	,	PUNCT
ajst-20221	158	10	rudnev	rudnev	PROPN
ajst-20221	158	11	v	v	ADP
ajst-20221	158	12	,	,	PUNCT
ajst-20221	158	13	et	et	PROPN
ajst-20221	158	14	al	al	PROPN
ajst-20221	158	15	.	.	PROPN
ajst-20221	158	16	neural	neural	PROPN
ajst-20221	158	17	actor	actor	NOUN
ajst-20221	158	18	:	:	PUNCT
ajst-20221	158	19	neural	neural	ADJ
ajst-20221	158	20	free	free	ADJ
ajst-20221	158	21	-	-	PUNCT
ajst-20221	158	22	view	view	NOUN
ajst-20221	158	23	synthesis	synthesis	NOUN
ajst-20221	158	24	of	of	ADP
ajst-20221	158	25	human	human	ADJ
ajst-20221	158	26	actors	actor	NOUN
ajst-20221	158	27	with	with	ADP
ajst-20221	158	28	pose	pose	NOUN
ajst-20221	158	29	control[j	control[j	PROPN
ajst-20221	158	30	]	]	PUNCT
ajst-20221	158	31	.	.	PUNCT
ajst-20221	159	1	acm	acm	PROPN
ajst-20221	159	2	transactions	transaction	NOUN
ajst-20221	159	3	on	on	ADP
ajst-20221	159	4	graphics	graphic	NOUN
ajst-20221	159	5	(	(	PUNCT
ajst-20221	159	6	tog	tog	PROPN
ajst-20221	159	7	)	)	PUNCT
ajst-20221	159	8	,	,	PUNCT
ajst-20221	159	9	2021	2021	NUM
ajst-20221	159	10	,	,	PUNCT
ajst-20221	159	11	40(6	40(6	NOUN
ajst-20221	159	12	):	):	PUNCT
ajst-20221	159	13	1	1	NUM
ajst-20221	159	14	-	-	SYM
ajst-20221	159	15	16	16	NUM
ajst-20221	159	16	.	.	PUNCT
ajst-20221	160	1	[	[	X
ajst-20221	160	2	12	12	NUM
ajst-20221	160	3	]	]	X
ajst-20221	160	4	weng	weng	PROPN
ajst-20221	160	5	c	c	PROPN
ajst-20221	160	6	y	y	PROPN
ajst-20221	160	7	,	,	PUNCT
ajst-20221	160	8	curless	curless	NOUN
ajst-20221	160	9	b	b	PROPN
ajst-20221	160	10	,	,	PUNCT
ajst-20221	160	11	srinivasan	srinivasan	NOUN
ajst-20221	160	12	p	p	PROPN
ajst-20221	160	13	p	p	PROPN
ajst-20221	160	14	,	,	PUNCT
ajst-20221	160	15	et	et	PROPN
ajst-20221	160	16	al	al	PROPN
ajst-20221	160	17	.	.	PROPN
ajst-20221	160	18	humannerf	humannerf	PROPN
ajst-20221	160	19	:	:	PUNCT
ajst-20221	160	20	freeviewpoint	freeviewpoint	NOUN
ajst-20221	160	21	rendering	render	VERB
ajst-20221	160	22	of	of	ADP
ajst-20221	160	23	moving	move	VERB
ajst-20221	160	24	people	people	NOUN
ajst-20221	160	25	from	from	ADP
ajst-20221	160	26	monocular	monocular	ADJ
ajst-20221	160	27	video[c]//proceedings	video[c]//proceeding	NOUN
ajst-20221	160	28	of	of	ADP
ajst-20221	160	29	the	the	DET
ajst-20221	160	30	ieee	ieee	NOUN
ajst-20221	160	31	/	/	SYM
ajst-20221	160	32	cvf	cvf	NOUN
ajst-20221	160	33	conference	conference	NOUN
ajst-20221	160	34	on	on	ADP
ajst-20221	160	35	computer	computer	NOUN
ajst-20221	160	36	vision	vision	NOUN
ajst-20221	160	37	and	and	CCONJ
ajst-20221	160	38	pattern	pattern	NOUN
ajst-20221	160	39	recognition	recognition	NOUN
ajst-20221	160	40	.	.	PUNCT
ajst-20221	161	1	2022	2022	NUM
ajst-20221	161	2	:	:	PUNCT
ajst-20221	161	3	16210	16210	NUM
ajst-20221	161	4	-	-	SYM
ajst-20221	161	5	16220	16220	NUM
ajst-20221	161	6	[	[	X
ajst-20221	161	7	13	13	NUM
ajst-20221	161	8	]	]	PUNCT
ajst-20221	161	9	nikhila	nikhila	PROPN
ajst-20221	161	10	ravi	ravi	PROPN
ajst-20221	161	11	,	,	PUNCT
ajst-20221	161	12	jeremy	jeremy	PROPN
ajst-20221	161	13	reizenstein	reizenstein	PROPN
ajst-20221	161	14	,	,	PUNCT
ajst-20221	161	15	david	david	PROPN
ajst-20221	161	16	novotny	novotny	PROPN
ajst-20221	161	17	,	,	PUNCT
ajst-20221	161	18	taylor	taylor	PROPN
ajst-20221	161	19	gordon	gordon	PROPN
ajst-20221	161	20	,	,	PUNCT
ajst-20221	161	21	wan	wan	PROPN
ajst-20221	161	22	-	-	PUNCT
ajst-20221	161	23	yen	yen	PROPN
ajst-20221	161	24	lo	lo	PROPN
ajst-20221	161	25	,	,	PUNCT
ajst-20221	161	26	justin	justin	PROPN
ajst-20221	161	27	johnson	johnson	PROPN
ajst-20221	161	28	,	,	PUNCT
ajst-20221	161	29	and	and	CCONJ
ajst-20221	161	30	georgia	georgia	PROPN
ajst-20221	161	31	gkioxari	gkioxari	NOUN
ajst-20221	161	32	.	.	PUNCT
ajst-20221	162	1	accelerating	accelerate	VERB
ajst-20221	162	2	3d	3d	NUM
ajst-20221	162	3	deep	deep	ADJ
ajst-20221	162	4	learning	learning	NOUN
ajst-20221	162	5	with	with	ADP
ajst-20221	162	6	pytorch3d	pytorch3d	NOUN
ajst-20221	162	7	.	.	PUNCT
ajst-20221	163	1	arxiv:2007.08501	arxiv:2007.08501	NOUN
ajst-20221	163	2	,	,	PUNCT
ajst-20221	163	3	2020	2020	NUM
ajst-20221	163	4	.	.	PUNCT
ajst-20221	164	1	3	3	NUM
ajst-20221	165	1	[	[	X
ajst-20221	165	2	14	14	NUM
ajst-20221	165	3	]	]	X
ajst-20221	165	4	yi	yi	PROPN
ajst-20221	165	5	wang	wang	PROPN
ajst-20221	165	6	,	,	PUNCT
ajst-20221	165	7	xin	xin	PROPN
ajst-20221	165	8	tao	tao	PROPN
ajst-20221	165	9	,	,	PUNCT
ajst-20221	165	10	xiaojuan	xiaojuan	PROPN
ajst-20221	165	11	qi	qi	PROPN
ajst-20221	165	12	,	,	PUNCT
ajst-20221	165	13	xiaoyong	xiaoyong	PROPN
ajst-20221	165	14	shen	shen	PROPN
ajst-20221	165	15	,	,	PUNCT
ajst-20221	165	16	and	and	CCONJ
ajst-20221	165	17	jiayajia	jiayajia	PROPN
ajst-20221	165	18	.	.	PUNCT
ajst-20221	166	1	image	image	NOUN
ajst-20221	166	2	inpainting	inpainte	VERB
ajst-20221	166	3	via	via	ADP
ajst-20221	166	4	generative	generative	ADJ
ajst-20221	166	5	multi	multi	ADJ
ajst-20221	166	6	-	-	ADJ
ajst-20221	166	7	column	column	ADJ
ajst-20221	166	8	convolutional	convolutional	ADJ
ajst-20221	166	9	neural	neural	ADJ
ajst-20221	166	10	networks	network	NOUN
ajst-20221	166	11	.	.	PUNCT
ajst-20221	167	1	conference	conference	NOUN
ajst-20221	167	2	on	on	ADP
ajst-20221	167	3	neural	neural	ADJ
ajst-20221	167	4	information	information	NOUN
ajst-20221	167	5	processing	processing	NOUN
ajst-20221	167	6	systems	system	NOUN
ajst-20221	167	7	(	(	PUNCT
ajst-20221	167	8	neurips	neurip	NOUN
ajst-20221	167	9	)	)	PUNCT
ajst-20221	167	10	,	,	PUNCT
ajst-20221	167	11	2018.3	2018.3	NUM
ajst-20221	167	12	[	[	X
ajst-20221	167	13	15	15	NUM
ajst-20221	167	14	]	]	X
ajst-20221	167	15	yao	yao	NOUN
ajst-20221	167	16	feng	feng	PROPN
ajst-20221	167	17	,	,	PUNCT
ajst-20221	167	18	vasileios	vasileio	NOUN
ajst-20221	167	19	choutas	chouta	NOUN
ajst-20221	167	20	,	,	PUNCT
ajst-20221	167	21	timo	timo	PROPN
ajst-20221	167	22	bolkart	bolkart	PROPN
ajst-20221	167	23	,	,	PUNCT
ajst-20221	167	24	dimitrios	dimitrio	VERB
ajst-20221	167	25	tzionas	tziona	NOUN
ajst-20221	167	26	,	,	PUNCT
ajst-20221	167	27	and	and	CCONJ
ajst-20221	167	28	michael	michael	PROPN
ajst-20221	167	29	j.	j.	PROPN
ajst-20221	167	30	black	black	PROPN
ajst-20221	167	31	.	.	PUNCT
ajst-20221	168	1	collaborative	collaborative	ADJ
ajst-20221	168	2	regression	regression	NOUN
ajst-20221	168	3	of	of	ADP
ajst-20221	168	4	expressive	expressive	ADJ
ajst-20221	168	5	bodies	body	NOUN
ajst-20221	168	6	using	use	VERB
ajst-20221	168	7	moderation	moderation	NOUN
ajst-20221	168	8	.	.	PUNCT
ajst-20221	169	1	in	in	ADP
ajst-20221	169	2	international	international	ADJ
ajst-20221	169	3	conference	conference	NOUN
ajst-20221	169	4	on	on	ADP
ajst-20221	169	5	3d	3d	PROPN
ajst-20221	169	6	vision	vision	NOUN
ajst-20221	169	7	(	(	PUNCT
ajst-20221	169	8	3dv	3dv	NOUN
ajst-20221	169	9	)	)	PUNCT
ajst-20221	169	10	,	,	PUNCT
ajst-20221	169	11	2021	2021	NUM
ajst-20221	169	12	.	.	PUNCT
ajst-20221	170	1	3,4	3,4	NUM
ajst-20221	170	2	[	[	SYM
ajst-20221	170	3	16	16	NUM
ajst-20221	170	4	]	]	PUNCT
ajst-20221	170	5	jiang	jiang	PROPN
ajst-20221	170	6	b	b	PROPN
ajst-20221	170	7	,	,	PUNCT
ajst-20221	170	8	hong	hong	PROPN
ajst-20221	170	9	y	y	PROPN
ajst-20221	170	10	,	,	PUNCT
ajst-20221	170	11	bao	bao	PROPN
ajst-20221	170	12	h	h	NOUN
ajst-20221	170	13	,	,	PUNCT
ajst-20221	170	14	et	et	PROPN
ajst-20221	170	15	al	al	PROPN
ajst-20221	170	16	.	.	PROPN
ajst-20221	170	17	selfrecon	selfrecon	NOUN
ajst-20221	170	18	:	:	PUNCT
ajst-20221	170	19	self	self	NOUN
ajst-20221	170	20	reconstruction	reconstruction	NOUN
ajst-20221	170	21	your	your	PRON
ajst-20221	170	22	digital	digital	ADJ
ajst-20221	170	23	avatar	avatar	NOUN
ajst-20221	170	24	from	from	ADP
ajst-20221	170	25	monocular	monocular	ADJ
ajst-20221	170	26	video[c	video[c	ADV
ajst-20221	170	27	]	]	PUNCT
ajst-20221	170	28	.	.	PUNCT
ajst-20221	171	1	proceedings	proceeding	NOUN
ajst-20221	171	2	of	of	ADP
ajst-20221	171	3	the	the	DET
ajst-20221	171	4	ieee	ieee	NOUN
ajst-20221	171	5	conference	conference	NOUN
ajst-20221	171	6	on	on	ADP
ajst-20221	171	7	computer	computer	NOUN
ajst-20221	171	8	vision	vision	NOUN
ajst-20221	171	9	and	and	CCONJ
ajst-20221	171	10	pattern	pattern	NOUN
ajst-20221	171	11	recognition	recognition	NOUN
ajst-20221	171	12	.	.	PUNCT
ajst-20221	172	1	2022	2022	NUM
ajst-20221	172	2	:	:	PUNCT
ajst-20221	172	3	5605	5605	NUM
ajst-20221	172	4	-	-	SYM
ajst-20221	172	5	5615	5615	NUM
ajst-20221	172	6	.	.	PUNCT
ajst-20221	173	1	[	[	X
ajst-20221	173	2	17	17	NUM
ajst-20221	173	3	]	]	X
ajst-20221	173	4	shunsuke	shunsuke	PROPN
ajst-20221	173	5	saito	saito	PROPN
ajst-20221	173	6	,	,	PUNCT
ajst-20221	173	7	zeng	zeng	PROPN
ajst-20221	173	8	huang	huang	PROPN
ajst-20221	173	9	,	,	PUNCT
ajst-20221	173	10	ryota	ryota	PROPN
ajst-20221	173	11	natsume	natsume	PROPN
ajst-20221	173	12	,	,	PUNCT
ajst-20221	173	13	shigeo	shigeo	PROPN
ajst-20221	173	14	morishima	morishima	PROPN
ajst-20221	173	15	,	,	PUNCT
ajst-20221	173	16	hao	hao	PROPN
ajst-20221	173	17	li	li	PROPN
ajst-20221	173	18	,	,	PUNCT
ajst-20221	173	19	and	and	CCONJ
ajst-20221	173	20	angjoo	angjoo	VERB
ajst-20221	173	21	kanazawa	kanazawa	NOUN
ajst-20221	173	22	.	.	PUNCT
ajst-20221	174	1	pifu	pifu	PROPN
ajst-20221	174	2	:	:	PUNCT
ajst-20221	174	3	pixelaligned	pixelaligne	VERB
ajst-20221	174	4	implicit	implicit	ADJ
ajst-20221	174	5	function	function	NOUN
ajst-20221	174	6	for	for	ADP
ajst-20221	174	7	high	high	ADJ
ajst-20221	174	8	-	-	PUNCT
ajst-20221	174	9	resolution	resolution	NOUN
ajst-20221	174	10	clothed	clothe	VERB
ajst-20221	174	11	human	human	ADJ
ajst-20221	174	12	digitization	digitization	NOUN
ajst-20221	174	13	.	.	PUNCT
ajst-20221	175	1	in	in	ADP
ajst-20221	175	2	iccv	iccv	PROPN
ajst-20221	175	3	,	,	PUNCT
ajst-20221	175	4	pages	page	NOUN
ajst-20221	175	5	2304–2314	2304–2314	NUM
ajst-20221	175	6	,	,	PUNCT
ajst-20221	175	7	2019	2019	NUM
ajst-20221	175	8	.	.	PUNCT
ajst-20221	176	1	2	2	NUM
ajst-20221	176	2	,	,	PUNCT
ajst-20221	176	3	3	3	NUM
ajst-20221	176	4	,	,	PUNCT
ajst-20221	176	5	5	5	NUM
ajst-20221	176	6	,	,	PUNCT
ajst-20221	176	7	6	6	NUM
ajst-20221	176	8	,	,	PUNCT
ajst-20221	176	9	7	7	NUM
ajst-20221	176	10	,	,	PUNCT
ajst-20221	176	11	13	13	NUM
ajst-20221	176	12	,	,	PUNCT
ajst-20221	176	13	14	14	NUM
ajst-20221	176	14	,	,	PUNCT
ajst-20221	176	15	16	16	NUM
ajst-20221	177	1	[	[	X
ajst-20221	177	2	18	18	NUM
ajst-20221	177	3	]	]	X
ajst-20221	177	4	tao	tao	PROPN
ajst-20221	177	5	yu	yu	PROPN
ajst-20221	177	6	,	,	PUNCT
ajst-20221	177	7	zerong	zerong	PROPN
ajst-20221	177	8	zheng	zheng	PROPN
ajst-20221	177	9	,	,	PUNCT
ajst-20221	177	10	kaiwen	kaiwen	PROPN
ajst-20221	177	11	guo	guo	PROPN
ajst-20221	177	12	,	,	PUNCT
ajst-20221	177	13	pengpeng	pengpeng	PROPN
ajst-20221	177	14	liu	liu	PROPN
ajst-20221	177	15	,	,	PUNCT
ajst-20221	177	16	qionghai	qionghai	PROPN
ajst-20221	177	17	dai	dai	PROPN
ajst-20221	177	18	,	,	PUNCT
ajst-20221	177	19	and	and	CCONJ
ajst-20221	177	20	yebin	yebin	PROPN
ajst-20221	177	21	liu	liu	PROPN
ajst-20221	177	22	.	.	PUNCT
ajst-20221	178	1	function4d	function4d	NOUN
ajst-20221	178	2	:	:	PUNCT
ajst-20221	178	3	real	real	ADJ
ajst-20221	178	4	-	-	PUNCT
ajst-20221	178	5	time	time	NOUN
ajst-20221	178	6	human	human	ADJ
ajst-20221	178	7	volumetric	volumetric	NOUN
ajst-20221	178	8	capture	capture	NOUN
ajst-20221	178	9	from	from	ADP
ajst-20221	178	10	very	very	ADV
ajst-20221	178	11	sparse	sparse	ADJ
ajst-20221	178	12	consumer	consumer	NOUN
ajst-20221	178	13	rgbd	rgbd	NOUN
ajst-20221	178	14	sensors	sensor	NOUN
ajst-20221	178	15	.	.	PUNCT
ajst-20221	179	1	in	in	ADP
ajst-20221	179	2	computer	computer	NOUN
ajst-20221	179	3	vision	vision	NOUN
ajst-20221	179	4	and	and	CCONJ
ajst-20221	179	5	pattern	pattern	NOUN
ajst-20221	179	6	recognition	recognition	NOUN
ajst-20221	179	7	(	(	PUNCT
ajst-20221	179	8	cvpr	cvpr	NOUN
ajst-20221	179	9	)	)	PUNCT
ajst-20221	179	10	,	,	PUNCT
ajst-20221	179	11	2021	2021	NUM
ajst-20221	179	12	.	.	PUNCT
ajst-20221	180	1	6	6	NUM
ajst-20221	180	2	,	,	PUNCT
ajst-20221	180	3	7	7	NUM
ajst-20221	180	4	,	,	PUNCT
ajst-20221	180	5	10	10	NUM