id	sid	tid	token	lemma	pos
ajst-20219	1	1	academic	academic	ADJ
ajst-20219	1	2	journal	journal	NOUN
ajst-20219	1	3	of	of	ADP
ajst-20219	1	4	science	science	NOUN
ajst-20219	1	5	and	and	CCONJ
ajst-20219	1	6	technology	technology	NOUN
ajst-20219	1	7	issn	issn	NOUN
ajst-20219	1	8	:	:	PUNCT
ajst-20219	1	9	2771	2771	NUM
ajst-20219	1	10	-	-	SYM
ajst-20219	1	11	3032	3032	NUM
ajst-20219	1	12	|	|	NOUN
ajst-20219	1	13	vol	vol	NOUN
ajst-20219	1	14	.	.	PROPN
ajst-20219	2	1	10	10	NUM
ajst-20219	2	2	,	,	PUNCT
ajst-20219	2	3	no	no	INTJ
ajst-20219	2	4	.	.	NOUN
ajst-20219	2	5	2	2	NUM
ajst-20219	2	6	,	,	PUNCT
ajst-20219	2	7	2024	2024	NUM
ajst-20219	2	8	201	201	NUM
ajst-20219	2	9	a	a	DET
ajst-20219	2	10	reflective	reflective	ADJ
ajst-20219	2	11	object	object	NOUN
ajst-20219	2	12	reconstruction	reconstruction	NOUN
ajst-20219	2	13	method	method	NOUN
ajst-20219	2	14	based	base	VERB
ajst-20219	2	15	on	on	ADP
ajst-20219	2	16	neural	neural	ADJ
ajst-20219	2	17	radiance	radiance	NOUN
ajst-20219	2	18	field	field	NOUN
ajst-20219	2	19	lifen	lifen	NOUN
ajst-20219	2	20	li1	li1	NOUN
ajst-20219	2	21	,	,	PUNCT
ajst-20219	2	22	2	2	NUM
ajst-20219	2	23	,	,	PUNCT
ajst-20219	2	24	3	3	NUM
ajst-20219	2	25	,	,	PUNCT
ajst-20219	2	26	zhengqin	zhengqin	NOUN
ajst-20219	2	27	yu1	yu1	PROPN
ajst-20219	2	28	,	,	PUNCT
ajst-20219	2	29	2	2	NUM
ajst-20219	2	30	,	,	PUNCT
ajst-20219	2	31	3	3	NUM
ajst-20219	2	32	and	and	CCONJ
ajst-20219	2	33	ronghua	ronghua	PROPN
ajst-20219	2	34	zhang1	zhang1	PROPN
ajst-20219	2	35	,	,	PUNCT
ajst-20219	2	36	2	2	NUM
ajst-20219	2	37	,	,	PUNCT
ajst-20219	2	38	3	3	NUM
ajst-20219	2	39	,	,	PUNCT
ajst-20219	2	40	*	*	PUNCT
ajst-20219	2	41	1	1	NUM
ajst-20219	2	42	department	department	NOUN
ajst-20219	2	43	of	of	ADP
ajst-20219	2	44	computer	computer	NOUN
ajst-20219	2	45	,	,	PUNCT
ajst-20219	2	46	north	north	PROPN
ajst-20219	2	47	china	china	PROPN
ajst-20219	2	48	electric	electric	PROPN
ajst-20219	2	49	power	power	PROPN
ajst-20219	2	50	university	university	PROPN
ajst-20219	2	51	,	,	PUNCT
ajst-20219	2	52	baoding	baoding	PROPN
ajst-20219	2	53	071066	071066	NUM
ajst-20219	2	54	,	,	PUNCT
ajst-20219	2	55	china	china	PROPN
ajst-20219	2	56	2	2	NUM
ajst-20219	2	57	hebei	hebei	PROPN
ajst-20219	2	58	key	key	ADJ
ajst-20219	2	59	laboratory	laboratory	NOUN
ajst-20219	2	60	of	of	ADP
ajst-20219	2	61	knowledge	knowledge	NOUN
ajst-20219	2	62	computing	compute	VERB
ajst-20219	2	63	for	for	ADP
ajst-20219	2	64	energy	energy	NOUN
ajst-20219	2	65	&	&	CCONJ
ajst-20219	2	66	power	power	NOUN
ajst-20219	2	67	,	,	PUNCT
ajst-20219	2	68	baoding	baoding	PROPN
ajst-20219	2	69	071066	071066	NUM
ajst-20219	2	70	,	,	PUNCT
ajst-20219	2	71	china	china	PROPN
ajst-20219	2	72	3	3	NUM
ajst-20219	2	73	engineering	engineering	NOUN
ajst-20219	2	74	research	research	NOUN
ajst-20219	2	75	center	center	NOUN
ajst-20219	2	76	of	of	ADP
ajst-20219	2	77	intelligent	intelligent	ADJ
ajst-20219	2	78	computing	computing	NOUN
ajst-20219	2	79	for	for	ADP
ajst-20219	2	80	complex	complex	ADJ
ajst-20219	2	81	energy	energy	NOUN
ajst-20219	2	82	systems	system	NOUN
ajst-20219	2	83	,	,	PUNCT
ajst-20219	2	84	ministry	ministry	NOUN
ajst-20219	2	85	of	of	ADP
ajst-20219	2	86	education	education	PROPN
ajst-20219	2	87	,	,	PUNCT
ajst-20219	2	88	baoding	baoding	PROPN
ajst-20219	2	89	071066	071066	NUM
ajst-20219	2	90	,	,	PUNCT
ajst-20219	2	91	china	china	PROPN
ajst-20219	2	92	*	*	PUNCT
ajst-20219	2	93	corresponding	correspond	VERB
ajst-20219	2	94	author	author	NOUN
ajst-20219	2	95	email	email	NOUN
ajst-20219	2	96	:	:	PUNCT
ajst-20219	3	1	zronghua88@gmail.com	zronghua88@gmail.com	X
ajst-20219	3	2	abstract	abstract	NOUN
ajst-20219	3	3	:	:	PUNCT
ajst-20219	3	4	we	we	PRON
ajst-20219	3	5	propose	propose	VERB
ajst-20219	3	6	a	a	DET
ajst-20219	3	7	neural	neural	ADJ
ajst-20219	3	8	rendering	rendering	NOUN
ajst-20219	3	9	-	-	PUNCT
ajst-20219	3	10	based	base	VERB
ajst-20219	3	11	3d	3d	PROPN
ajst-20219	3	12	reconstruction	reconstruction	NOUN
ajst-20219	3	13	method	method	NOUN
ajst-20219	3	14	for	for	ADP
ajst-20219	3	15	reconstructing	reconstruct	VERB
ajst-20219	3	16	the	the	DET
ajst-20219	3	17	geometry	geometry	NOUN
ajst-20219	3	18	and	and	CCONJ
ajst-20219	3	19	brdf	brdf	NOUN
ajst-20219	3	20	of	of	ADP
ajst-20219	3	21	reflective	reflective	ADJ
ajst-20219	3	22	objects	object	NOUN
ajst-20219	3	23	from	from	ADP
ajst-20219	3	24	multi	multi	ADJ
ajst-20219	3	25	-	-	ADJ
ajst-20219	3	26	view	view	ADJ
ajst-20219	3	27	images	image	NOUN
ajst-20219	3	28	captured	capture	VERB
ajst-20219	3	29	in	in	ADP
ajst-20219	3	30	unknown	unknown	ADJ
ajst-20219	3	31	environments	environment	NOUN
ajst-20219	3	32	.	.	PUNCT
ajst-20219	4	1	multi	multi	ADJ
ajst-20219	4	2	-	-	ADJ
ajst-20219	4	3	view	view	ADJ
ajst-20219	4	4	reconstruction	reconstruction	NOUN
ajst-20219	4	5	of	of	ADP
ajst-20219	4	6	reflective	reflective	ADJ
ajst-20219	4	7	objects	object	NOUN
ajst-20219	4	8	is	be	AUX
ajst-20219	4	9	extremely	extremely	ADV
ajst-20219	4	10	challenging	challenging	ADJ
ajst-20219	4	11	because	because	SCONJ
ajst-20219	4	12	specular	specular	ADJ
ajst-20219	4	13	reflections	reflection	NOUN
ajst-20219	4	14	are	be	AUX
ajst-20219	4	15	view	view	NOUN
ajst-20219	4	16	-	-	PUNCT
ajst-20219	4	17	dependent	dependent	ADJ
ajst-20219	4	18	and	and	CCONJ
ajst-20219	4	19	therefore	therefore	ADV
ajst-20219	4	20	violate	violate	VERB
ajst-20219	4	21	multi	multi	ADJ
ajst-20219	4	22	-	-	ADJ
ajst-20219	4	23	view	view	ADJ
ajst-20219	4	24	consistency	consistency	NOUN
ajst-20219	4	25	,	,	PUNCT
ajst-20219	4	26	which	which	PRON
ajst-20219	4	27	is	be	AUX
ajst-20219	4	28	the	the	DET
ajst-20219	4	29	cornerstone	cornerstone	NOUN
ajst-20219	4	30	of	of	ADP
ajst-20219	4	31	most	most	ADJ
ajst-20219	4	32	multi	multi	ADJ
ajst-20219	4	33	-	-	ADJ
ajst-20219	4	34	view	view	ADJ
ajst-20219	4	35	reconstruction	reconstruction	NOUN
ajst-20219	4	36	methods	method	NOUN
ajst-20219	4	37	.	.	PUNCT
ajst-20219	5	1	recent	recent	ADJ
ajst-20219	5	2	neural	neural	ADJ
ajst-20219	5	3	rendering	rendering	NOUN
ajst-20219	5	4	techniques	technique	NOUN
ajst-20219	5	5	can	can	AUX
ajst-20219	5	6	model	model	VERB
ajst-20219	5	7	the	the	DET
ajst-20219	5	8	interaction	interaction	NOUN
ajst-20219	5	9	between	between	ADP
ajst-20219	5	10	ambient	ambient	ADJ
ajst-20219	5	11	light	light	NOUN
ajst-20219	5	12	and	and	CCONJ
ajst-20219	5	13	object	object	VERB
ajst-20219	5	14	surfaces	surface	NOUN
ajst-20219	5	15	to	to	PART
ajst-20219	5	16	adapt	adapt	VERB
ajst-20219	5	17	to	to	PART
ajst-20219	5	18	view	view	VERB
ajst-20219	5	19	-	-	PUNCT
ajst-20219	5	20	dependent	dependent	ADJ
ajst-20219	5	21	reflections	reflection	NOUN
ajst-20219	5	22	,	,	PUNCT
ajst-20219	5	23	making	make	VERB
ajst-20219	5	24	it	it	PRON
ajst-20219	5	25	possible	possible	ADJ
ajst-20219	5	26	to	to	PART
ajst-20219	5	27	reconstruct	reconstruct	VERB
ajst-20219	5	28	reflective	reflective	ADJ
ajst-20219	5	29	objects	object	NOUN
ajst-20219	5	30	from	from	ADP
ajst-20219	5	31	multi	multi	ADJ
ajst-20219	5	32	-	-	ADJ
ajst-20219	5	33	view	view	ADJ
ajst-20219	5	34	images	image	NOUN
ajst-20219	5	35	.	.	PUNCT
ajst-20219	6	1	however	however	ADV
ajst-20219	6	2	,	,	PUNCT
ajst-20219	6	3	accurately	accurately	ADV
ajst-20219	6	4	modeling	model	VERB
ajst-20219	6	5	ambient	ambient	ADJ
ajst-20219	6	6	light	light	NOUN
ajst-20219	6	7	in	in	ADP
ajst-20219	6	8	neural	neural	ADJ
ajst-20219	6	9	rendering	rendering	NOUN
ajst-20219	6	10	is	be	AUX
ajst-20219	6	11	difficult	difficult	ADJ
ajst-20219	6	12	.	.	PUNCT
ajst-20219	7	1	we	we	PRON
ajst-20219	7	2	propose	propose	VERB
ajst-20219	7	3	a	a	DET
ajst-20219	7	4	twostep	twostep	NOUN
ajst-20219	7	5	approach	approach	NOUN
ajst-20219	7	6	to	to	PART
ajst-20219	7	7	solve	solve	VERB
ajst-20219	7	8	this	this	DET
ajst-20219	7	9	problem	problem	NOUN
ajst-20219	7	10	.	.	PUNCT
ajst-20219	8	1	first	first	ADV
ajst-20219	8	2	,	,	PUNCT
ajst-20219	8	3	by	by	ADP
ajst-20219	8	4	introducing	introduce	VERB
ajst-20219	8	5	view	view	NOUN
ajst-20219	8	6	-	-	PUNCT
ajst-20219	8	7	dependent	dependent	ADJ
ajst-20219	8	8	photometric	photometric	NOUN
ajst-20219	8	9	losses	loss	NOUN
ajst-20219	8	10	,	,	PUNCT
ajst-20219	8	11	our	our	PRON
ajst-20219	8	12	method	method	NOUN
ajst-20219	8	13	accurately	accurately	ADV
ajst-20219	8	14	reconstructs	reconstruct	VERB
ajst-20219	8	15	the	the	DET
ajst-20219	8	16	geometry	geometry	NOUN
ajst-20219	8	17	of	of	ADP
ajst-20219	8	18	reflective	reflective	ADJ
ajst-20219	8	19	objects	object	NOUN
ajst-20219	8	20	.	.	PUNCT
ajst-20219	9	1	then	then	ADV
ajst-20219	9	2	,	,	PUNCT
ajst-20219	9	3	with	with	ADP
ajst-20219	9	4	the	the	DET
ajst-20219	9	5	object	object	NOUN
ajst-20219	9	6	geometry	geometry	NOUN
ajst-20219	9	7	fixed	fix	VERB
ajst-20219	9	8	,	,	PUNCT
ajst-20219	9	9	we	we	PRON
ajst-20219	9	10	use	use	VERB
ajst-20219	9	11	more	more	ADV
ajst-20219	9	12	accurate	accurate	ADJ
ajst-20219	9	13	sampling	sampling	NOUN
ajst-20219	9	14	to	to	PART
ajst-20219	9	15	recover	recover	VERB
ajst-20219	9	16	the	the	DET
ajst-20219	9	17	brdf	brdf	NOUN
ajst-20219	9	18	of	of	ADP
ajst-20219	9	19	the	the	DET
ajst-20219	9	20	ambient	ambient	ADJ
ajst-20219	9	21	light	light	NOUN
ajst-20219	9	22	and	and	CCONJ
ajst-20219	9	23	object	object	VERB
ajst-20219	9	24	.	.	PUNCT
ajst-20219	10	1	experiments	experiment	NOUN
ajst-20219	10	2	show	show	VERB
ajst-20219	10	3	that	that	SCONJ
ajst-20219	10	4	our	our	PRON
ajst-20219	10	5	method	method	NOUN
ajst-20219	10	6	is	be	AUX
ajst-20219	10	7	able	able	ADJ
ajst-20219	10	8	to	to	PART
ajst-20219	10	9	accurately	accurately	ADV
ajst-20219	10	10	reconstruct	reconstruct	VERB
ajst-20219	10	11	the	the	DET
ajst-20219	10	12	geometry	geometry	NOUN
ajst-20219	10	13	and	and	CCONJ
ajst-20219	10	14	brdf	brdf	NOUN
ajst-20219	10	15	of	of	ADP
ajst-20219	10	16	reflective	reflective	ADJ
ajst-20219	10	17	objects	object	NOUN
ajst-20219	10	18	from	from	ADP
ajst-20219	10	19	only	only	ADV
ajst-20219	10	20	rgb	rgb	PROPN
ajst-20219	10	21	images	image	NOUN
ajst-20219	10	22	without	without	ADP
ajst-20219	10	23	knowing	know	VERB
ajst-20219	10	24	the	the	DET
ajst-20219	10	25	ambient	ambient	ADJ
ajst-20219	10	26	light	light	NOUN
ajst-20219	10	27	and	and	CCONJ
ajst-20219	10	28	object	object	VERB
ajst-20219	10	29	masks	mask	NOUN
ajst-20219	10	30	.	.	PUNCT
ajst-20219	11	1	keywords	keyword	NOUN
ajst-20219	11	2	:	:	PUNCT
ajst-20219	11	3	neural	neural	ADJ
ajst-20219	11	4	radiance	radiance	NOUN
ajst-20219	11	5	field	field	NOUN
ajst-20219	11	6	,	,	PUNCT
ajst-20219	11	7	neural	neural	ADJ
ajst-20219	11	8	implicit	implicit	ADJ
ajst-20219	11	9	surface	surface	NOUN
ajst-20219	11	10	,	,	PUNCT
ajst-20219	11	11	multi	multi	ADJ
ajst-20219	11	12	-	-	ADJ
ajst-20219	11	13	view	view	ADJ
ajst-20219	11	14	reconstruction	reconstruction	NOUN
ajst-20219	11	15	,	,	PUNCT
ajst-20219	11	16	computer	computer	NOUN
ajst-20219	11	17	vision	vision	NOUN
ajst-20219	11	18	.	.	PUNCT
ajst-20219	12	1	1	1	X
ajst-20219	12	2	.	.	X
ajst-20219	12	3	introduction	introduction	NOUN
ajst-20219	12	4	in	in	ADP
ajst-20219	12	5	the	the	DET
ajst-20219	12	6	sphere	sphere	NOUN
ajst-20219	12	7	of	of	ADP
ajst-20219	12	8	computer	computer	NOUN
ajst-20219	12	9	graphics	graphic	NOUN
ajst-20219	12	10	and	and	CCONJ
ajst-20219	12	11	vision	vision	NOUN
ajst-20219	12	12	,	,	PUNCT
ajst-20219	12	13	multi	multi	ADJ
ajst-20219	12	14	-	-	ADJ
ajst-20219	12	15	view	view	ADJ
ajst-20219	12	16	3d	3d	NOUN
ajst-20219	12	17	reconstruction	reconstruction	NOUN
ajst-20219	12	18	serves	serve	VERB
ajst-20219	12	19	as	as	ADP
ajst-20219	12	20	an	an	DET
ajst-20219	12	21	integral	integral	ADJ
ajst-20219	12	22	undertaking	undertaking	NOUN
ajst-20219	12	23	.	.	PUNCT
ajst-20219	13	1	since	since	SCONJ
ajst-20219	13	2	its	its	PRON
ajst-20219	13	3	initial	initial	ADJ
ajst-20219	13	4	proposition	proposition	NOUN
ajst-20219	13	5	in	in	ADP
ajst-20219	13	6	2003	2003	NUM
ajst-20219	13	7	by	by	ADP
ajst-20219	13	8	hartley	hartley	PROPN
ajst-20219	13	9	and	and	CCONJ
ajst-20219	13	10	zisserman[1	zisserman[1	PROPN
ajst-20219	13	11	]	]	X
ajst-20219	13	12	,	,	PUNCT
ajst-20219	13	13	the	the	DET
ajst-20219	13	14	art	art	NOUN
ajst-20219	13	15	has	have	AUX
ajst-20219	13	16	seen	see	VERB
ajst-20219	13	17	considerable	considerable	ADJ
ajst-20219	13	18	growth	growth	NOUN
ajst-20219	13	19	.	.	PUNCT
ajst-20219	14	1	however	however	ADV
ajst-20219	14	2	,	,	PUNCT
ajst-20219	14	3	there	there	PRON
ajst-20219	14	4	persists	persist	VERB
ajst-20219	14	5	a	a	DET
ajst-20219	14	6	critical	critical	ADJ
ajst-20219	14	7	and	and	CCONJ
ajst-20219	14	8	pressing	press	VERB
ajst-20219	14	9	issue	issue	NOUN
ajst-20219	14	10	,	,	PUNCT
ajst-20219	14	11	namely	namely	ADV
ajst-20219	14	12	the	the	DET
ajst-20219	14	13	reconstruction	reconstruction	NOUN
ajst-20219	14	14	of	of	ADP
ajst-20219	14	15	reflective	reflective	ADJ
ajst-20219	14	16	objects	object	NOUN
ajst-20219	14	17	commonly	commonly	ADV
ajst-20219	14	18	found	find	VERB
ajst-20219	14	19	in	in	ADP
ajst-20219	14	20	real	real	ADJ
ajst-20219	14	21	-	-	PUNCT
ajst-20219	14	22	world	world	NOUN
ajst-20219	14	23	scenarios	scenario	NOUN
ajst-20219	14	24	.	.	PUNCT
ajst-20219	15	1	these	these	DET
ajst-20219	15	2	objects	object	NOUN
ajst-20219	15	3	,	,	PUNCT
ajst-20219	15	4	bearing	bear	VERB
ajst-20219	15	5	glossy	glossy	ADJ
ajst-20219	15	6	exteriors	exterior	NOUN
ajst-20219	15	7	,	,	PUNCT
ajst-20219	15	8	display	display	NOUN
ajst-20219	15	9	varying	vary	VERB
ajst-20219	15	10	coloration	coloration	NOUN
ajst-20219	15	11	from	from	ADP
ajst-20219	15	12	different	different	ADJ
ajst-20219	15	13	viewing	viewing	NOUN
ajst-20219	15	14	angles	angle	NOUN
ajst-20219	15	15	due	due	ADJ
ajst-20219	15	16	to	to	ADP
ajst-20219	15	17	reflected	reflect	VERB
ajst-20219	15	18	light	light	NOUN
ajst-20219	15	19	.	.	PUNCT
ajst-20219	16	1	this	this	DET
ajst-20219	16	2	property	property	NOUN
ajst-20219	16	3	poses	pose	VERB
ajst-20219	16	4	a	a	DET
ajst-20219	16	5	significant	significant	ADJ
ajst-20219	16	6	challenge	challenge	NOUN
ajst-20219	16	7	to	to	ADP
ajst-20219	16	8	a	a	DET
ajst-20219	16	9	majority	majority	NOUN
ajst-20219	16	10	of	of	ADP
ajst-20219	16	11	multi	multi	ADJ
ajst-20219	16	12	-	-	ADJ
ajst-20219	16	13	view	view	ADJ
ajst-20219	16	14	reconstruction	reconstruction	NOUN
ajst-20219	16	15	strategies	strategy	NOUN
ajst-20219	16	16	that	that	PRON
ajst-20219	16	17	depend	depend	VERB
ajst-20219	16	18	upon	upon	SCONJ
ajst-20219	16	19	view	view	NOUN
ajst-20219	16	20	consistency	consistency	NOUN
ajst-20219	16	21	for	for	ADP
ajst-20219	16	22	stereo	stereo	NOUN
ajst-20219	16	23	matching	matching	NOUN
ajst-20219	16	24	.	.	PUNCT
ajst-20219	17	1	consequently	consequently	ADV
ajst-20219	17	2	,	,	PUNCT
ajst-20219	17	3	this	this	PRON
ajst-20219	17	4	has	have	AUX
ajst-20219	17	5	become	become	VERB
ajst-20219	17	6	a	a	DET
ajst-20219	17	7	crucial	crucial	ADJ
ajst-20219	17	8	hindrance	hindrance	NOUN
ajst-20219	17	9	to	to	ADP
ajst-20219	17	10	the	the	DET
ajst-20219	17	11	quality	quality	NOUN
ajst-20219	17	12	of	of	ADP
ajst-20219	17	13	reconstruction	reconstruction	NOUN
ajst-20219	17	14	inherent	inherent	ADJ
ajst-20219	17	15	in	in	ADP
ajst-20219	17	16	today	today	NOUN
ajst-20219	17	17	's	's	PART
ajst-20219	17	18	technological	technological	ADJ
ajst-20219	17	19	solutions	solution	NOUN
ajst-20219	17	20	.	.	PUNCT
ajst-20219	18	1	recently	recently	ADV
ajst-20219	18	2	,	,	PUNCT
ajst-20219	18	3	a	a	DET
ajst-20219	18	4	rising	rise	VERB
ajst-20219	18	5	trend	trend	NOUN
ajst-20219	18	6	in	in	ADP
ajst-20219	18	7	the	the	DET
ajst-20219	18	8	domain	domain	NOUN
ajst-20219	18	9	of	of	ADP
ajst-20219	18	10	multi	multi	ADJ
ajst-20219	18	11	-	-	ADJ
ajst-20219	18	12	view	view	ADJ
ajst-20219	18	13	reconstruction	reconstruction	NOUN
ajst-20219	18	14	—	—	PUNCT
ajst-20219	18	15	neural	neural	ADJ
ajst-20219	18	16	rendering	rendering	NOUN
ajst-20219	18	17	-	-	PUNCT
ajst-20219	18	18	based	base	VERB
ajst-20219	18	19	techniques	technique	NOUN
ajst-20219	18	20	—	—	PUNCT
ajst-20219	18	21	has	have	AUX
ajst-20219	18	22	indicated	indicate	VERB
ajst-20219	18	23	immense	immense	ADJ
ajst-20219	18	24	feasibility	feasibility	NOUN
ajst-20219	18	25	in	in	ADP
ajst-20219	18	26	managing	manage	VERB
ajst-20219	18	27	complex	complex	ADJ
ajst-20219	18	28	objects	object	NOUN
ajst-20219	18	29	.	.	PUNCT
ajst-20219	19	1	within	within	ADP
ajst-20219	19	2	these	these	DET
ajst-20219	19	3	neural	neural	ADJ
ajst-20219	19	4	rendering	rendering	NOUN
ajst-20219	19	5	-	-	PUNCT
ajst-20219	19	6	based	base	VERB
ajst-20219	19	7	reconstruction	reconstruction	NOUN
ajst-20219	19	8	methodologies	methodology	NOUN
ajst-20219	19	9	,	,	PUNCT
ajst-20219	19	10	the	the	DET
ajst-20219	19	11	foundational	foundational	ADJ
ajst-20219	19	12	surface	surface	NOUN
ajst-20219	19	13	geometry	geometry	NOUN
ajst-20219	19	14	is	be	AUX
ajst-20219	19	15	commonly	commonly	ADV
ajst-20219	19	16	depicted	depict	VERB
ajst-20219	19	17	as	as	ADP
ajst-20219	19	18	an	an	DET
ajst-20219	19	19	implicit	implicit	ADJ
ajst-20219	19	20	function	function	NOUN
ajst-20219	19	21	,	,	PUNCT
ajst-20219	19	22	such	such	ADJ
ajst-20219	19	23	as	as	ADP
ajst-20219	19	24	a	a	DET
ajst-20219	19	25	signed	sign	VERB
ajst-20219	19	26	distance	distance	NOUN
ajst-20219	19	27	function	function	NOUN
ajst-20219	19	28	(	(	PUNCT
ajst-20219	19	29	sdf	sdf	NOUN
ajst-20219	19	30	)	)	PUNCT
ajst-20219	19	31	encoded	encode	VERB
ajst-20219	19	32	via	via	ADP
ajst-20219	19	33	a	a	DET
ajst-20219	19	34	multilayer	multilayer	ADJ
ajst-20219	19	35	perceptron	perceptron	NOUN
ajst-20219	19	36	(	(	PUNCT
ajst-20219	19	37	mlp	mlp	PROPN
ajst-20219	19	38	)	)	PUNCT
ajst-20219	19	39	.	.	PUNCT
ajst-20219	20	1	by	by	ADP
ajst-20219	20	2	emulating	emulate	VERB
ajst-20219	20	3	the	the	DET
ajst-20219	20	4	view	view	NOUN
ajst-20219	20	5	-	-	PUNCT
ajst-20219	20	6	aligned	align	VERB
ajst-20219	20	7	color	color	NOUN
ajst-20219	20	8	information	information	NOUN
ajst-20219	20	9	and	and	CCONJ
ajst-20219	20	10	lessening	lessen	VERB
ajst-20219	20	11	the	the	DET
ajst-20219	20	12	discrepancy	discrepancy	NOUN
ajst-20219	20	13	between	between	ADP
ajst-20219	20	14	the	the	DET
ajst-20219	20	15	rendered	render	VERB
ajst-20219	20	16	image	image	NOUN
ajst-20219	20	17	and	and	CCONJ
ajst-20219	20	18	the	the	DET
ajst-20219	20	19	input	input	NOUN
ajst-20219	20	20	image	image	NOUN
ajst-20219	20	21	,	,	PUNCT
ajst-20219	20	22	these	these	DET
ajst-20219	20	23	tactics	tactic	NOUN
ajst-20219	20	24	fine	fine	ADJ
ajst-20219	20	25	-	-	PUNCT
ajst-20219	20	26	tune	tune	NOUN
ajst-20219	20	27	the	the	DET
ajst-20219	20	28	neural	neural	ADJ
ajst-20219	20	29	implicit	implicit	ADJ
ajst-20219	20	30	function	function	NOUN
ajst-20219	20	31	,	,	PUNCT
ajst-20219	20	32	subsequently	subsequently	ADV
ajst-20219	20	33	accomplishing	accomplish	VERB
ajst-20219	20	34	the	the	DET
ajst-20219	20	35	geometry	geometry	NOUN
ajst-20219	20	36	's	's	PART
ajst-20219	20	37	reconstruction	reconstruction	NOUN
ajst-20219	20	38	.	.	PUNCT
ajst-20219	21	1	nonetheless	nonetheless	ADV
ajst-20219	21	2	,	,	PUNCT
ajst-20219	21	3	despite	despite	SCONJ
ajst-20219	21	4	the	the	DET
ajst-20219	21	5	efficacy	efficacy	NOUN
ajst-20219	21	6	neural	neural	ADJ
ajst-20219	21	7	rendering	rendering	NOUN
ajst-20219	21	8	-	-	PUNCT
ajst-20219	21	9	based	base	VERB
ajst-20219	21	10	methods	method	NOUN
ajst-20219	21	11	demonstrate	demonstrate	VERB
ajst-20219	21	12	when	when	SCONJ
ajst-20219	21	13	tackling	tackle	VERB
ajst-20219	21	14	generic	generic	ADJ
ajst-20219	21	15	reconstruction	reconstruction	NOUN
ajst-20219	21	16	tasks	task	NOUN
ajst-20219	21	17	,	,	PUNCT
ajst-20219	21	18	they	they	PRON
ajst-20219	21	19	grapple	grapple	VERB
ajst-20219	21	20	with	with	ADP
ajst-20219	21	21	difficulties	difficulty	NOUN
ajst-20219	21	22	when	when	SCONJ
ajst-20219	21	23	confronted	confront	VERB
ajst-20219	21	24	with	with	ADP
ajst-20219	21	25	reflective	reflective	ADJ
ajst-20219	21	26	objects	object	NOUN
ajst-20219	21	27	.	.	PUNCT
ajst-20219	22	1	this	this	DET
ajst-20219	22	2	challenge	challenge	NOUN
ajst-20219	22	3	originates	originate	NOUN
ajst-20219	22	4	from	from	ADP
ajst-20219	22	5	the	the	DET
ajst-20219	22	6	fact	fact	NOUN
ajst-20219	22	7	that	that	SCONJ
ajst-20219	22	8	color	color	NOUN
ajst-20219	22	9	functions	function	NOUN
ajst-20219	22	10	in	in	ADP
ajst-20219	22	11	these	these	DET
ajst-20219	22	12	techniques	technique	NOUN
ajst-20219	22	13	primarily	primarily	ADV
ajst-20219	22	14	target	target	VERB
ajst-20219	22	15	the	the	DET
ajst-20219	22	16	relationship	relationship	NOUN
ajst-20219	22	17	between	between	ADP
ajst-20219	22	18	color	color	NOUN
ajst-20219	22	19	,	,	PUNCT
ajst-20219	22	20	viewing	view	VERB
ajst-20219	22	21	angle	angle	NOUN
ajst-20219	22	22	,	,	PUNCT
ajst-20219	22	23	and	and	CCONJ
ajst-20219	22	24	surface	surface	NOUN
ajst-20219	22	25	geometry	geometry	NOUN
ajst-20219	22	26	,	,	PUNCT
ajst-20219	22	27	while	while	SCONJ
ajst-20219	22	28	overlooking	overlook	VERB
ajst-20219	22	29	the	the	DET
ajst-20219	22	30	inherent	inherent	ADJ
ajst-20219	22	31	optical	optical	ADJ
ajst-20219	22	32	dynamics	dynamic	NOUN
ajst-20219	22	33	associated	associate	VERB
ajst-20219	22	34	with	with	ADP
ajst-20219	22	35	reflection	reflection	NOUN
ajst-20219	22	36	.	.	PUNCT
ajst-20219	23	1	thus	thus	ADV
ajst-20219	23	2	,	,	PUNCT
ajst-20219	23	3	when	when	SCONJ
ajst-20219	23	4	attempting	attempt	VERB
ajst-20219	23	5	to	to	PART
ajst-20219	23	6	fit	fit	VERB
ajst-20219	23	7	specular	specular	ADJ
ajst-20219	23	8	color	color	NOUN
ajst-20219	23	9	alterations	alteration	NOUN
ajst-20219	23	10	on	on	ADP
ajst-20219	23	11	the	the	DET
ajst-20219	23	12	surface	surface	NOUN
ajst-20219	23	13	across	across	ADP
ajst-20219	23	14	varying	vary	VERB
ajst-20219	23	15	directions	direction	NOUN
ajst-20219	23	16	of	of	ADP
ajst-20219	23	17	view	view	NOUN
ajst-20219	23	18	,	,	PUNCT
ajst-20219	23	19	these	these	DET
ajst-20219	23	20	methods	method	NOUN
ajst-20219	23	21	might	might	AUX
ajst-20219	23	22	unintentionally	unintentionally	ADV
ajst-20219	23	23	generate	generate	VERB
ajst-20219	23	24	flawed	flawed	ADJ
ajst-20219	23	25	geometry	geometry	NOUN
ajst-20219	23	26	.	.	PUNCT
ajst-20219	24	1	this	this	DET
ajst-20219	24	2	predicament	predicament	NOUN
ajst-20219	24	3	persists	persist	VERB
ajst-20219	24	4	even	even	ADV
ajst-20219	24	5	with	with	ADP
ajst-20219	24	6	the	the	DET
ajst-20219	24	7	increase	increase	NOUN
ajst-20219	24	8	in	in	ADP
ajst-20219	24	9	position	position	NOUN
ajst-20219	24	10	encoding	encode	VERB
ajst-20219	24	11	frequency	frequency	NOUN
ajst-20219	24	12	or	or	CCONJ
ajst-20219	24	13	with	with	ADP
ajst-20219	24	14	employing	employ	VERB
ajst-20219	24	15	deeper	deep	ADJ
ajst-20219	24	16	and	and	CCONJ
ajst-20219	24	17	wider	wide	ADJ
ajst-20219	24	18	mlp	mlp	NOUN
ajst-20219	24	19	networks	network	NOUN
ajst-20219	24	20	.	.	PUNCT
ajst-20219	25	1	consequently	consequently	ADV
ajst-20219	25	2	,	,	PUNCT
ajst-20219	25	3	there	there	PRON
ajst-20219	25	4	is	be	VERB
ajst-20219	25	5	a	a	DET
ajst-20219	25	6	demand	demand	NOUN
ajst-20219	25	7	for	for	ADP
ajst-20219	25	8	specialized	specialized	ADJ
ajst-20219	25	9	processing	processing	NOUN
ajst-20219	25	10	and	and	CCONJ
ajst-20219	25	11	schemas	schema	NOUN
ajst-20219	25	12	for	for	ADP
ajst-20219	25	13	reconstructing	reconstruct	VERB
ajst-20219	25	14	surfaces	surface	NOUN
ajst-20219	25	15	of	of	ADP
ajst-20219	25	16	reflective	reflective	ADJ
ajst-20219	25	17	objects	object	NOUN
ajst-20219	25	18	,	,	PUNCT
ajst-20219	25	19	ensuring	ensure	VERB
ajst-20219	25	20	that	that	SCONJ
ajst-20219	25	21	the	the	DET
ajst-20219	25	22	influences	influence	NOUN
ajst-20219	25	23	of	of	ADP
ajst-20219	25	24	reflective	reflective	ADJ
ajst-20219	25	25	phenomena	phenomenon	NOUN
ajst-20219	25	26	on	on	ADP
ajst-20219	25	27	color	color	NOUN
ajst-20219	25	28	changes	change	NOUN
ajst-20219	25	29	are	be	AUX
ajst-20219	25	30	accurately	accurately	ADV
ajst-20219	25	31	captured	capture	VERB
ajst-20219	25	32	to	to	PART
ajst-20219	25	33	satisfy	satisfy	VERB
ajst-20219	25	34	the	the	DET
ajst-20219	25	35	requirements	requirement	NOUN
ajst-20219	25	36	of	of	ADP
ajst-20219	25	37	practical	practical	ADJ
ajst-20219	25	38	applications	application	NOUN
ajst-20219	25	39	.	.	PUNCT
ajst-20219	26	1	prospective	prospective	ADJ
ajst-20219	26	2	avenues	avenue	NOUN
ajst-20219	26	3	for	for	ADP
ajst-20219	26	4	research	research	NOUN
ajst-20219	26	5	could	could	AUX
ajst-20219	26	6	revolve	revolve	VERB
ajst-20219	26	7	around	around	ADP
ajst-20219	26	8	fabricating	fabricate	VERB
ajst-20219	26	9	more	more	ADV
ajst-20219	26	10	sophisticated	sophisticated	ADJ
ajst-20219	26	11	color	color	NOUN
ajst-20219	26	12	functions	function	NOUN
ajst-20219	26	13	for	for	ADP
ajst-20219	26	14	explicitly	explicitly	ADV
ajst-20219	26	15	modeling	model	VERB
ajst-20219	26	16	reflection	reflection	NOUN
ajst-20219	26	17	processes	process	NOUN
ajst-20219	26	18	,	,	PUNCT
ajst-20219	26	19	and	and	CCONJ
ajst-20219	26	20	investigating	investigate	VERB
ajst-20219	26	21	alternate	alternate	ADJ
ajst-20219	26	22	strategies	strategy	NOUN
ajst-20219	26	23	for	for	ADP
ajst-20219	26	24	augmenting	augment	VERB
ajst-20219	26	25	the	the	DET
ajst-20219	26	26	performance	performance	NOUN
ajst-20219	26	27	of	of	ADP
ajst-20219	26	28	neural	neural	ADJ
ajst-20219	26	29	reconstruction	reconstruction	NOUN
ajst-20219	26	30	techniques	technique	NOUN
ajst-20219	26	31	when	when	SCONJ
ajst-20219	26	32	applied	apply	VERB
ajst-20219	26	33	to	to	ADP
ajst-20219	26	34	reflective	reflective	ADJ
ajst-20219	26	35	objects	object	NOUN
ajst-20219	26	36	.	.	PUNCT
ajst-20219	27	1	2	2	X
ajst-20219	27	2	.	.	X
ajst-20219	27	3	related	relate	VERB
ajst-20219	27	4	work	work	NOUN
ajst-20219	27	5	2.1	2.1	NUM
ajst-20219	27	6	.	.	PUNCT
ajst-20219	28	1	traditional	traditional	ADJ
ajst-20219	28	2	multi	multi	ADJ
ajst-20219	28	3	-	-	ADJ
ajst-20219	28	4	view	view	ADJ
ajst-20219	28	5	reconstruction	reconstruction	NOUN
ajst-20219	28	6	.	.	PUNCT
ajst-20219	29	1	traditional	traditional	ADJ
ajst-20219	29	2	multi	multi	ADJ
ajst-20219	29	3	-	-	ADJ
ajst-20219	29	4	view	view	ADJ
ajst-20219	29	5	reconstruction	reconstruction	NOUN
ajst-20219	29	6	methods	method	NOUN
ajst-20219	29	7	mainly	mainly	ADV
ajst-20219	29	8	rely	rely	VERB
ajst-20219	29	9	on	on	ADP
ajst-20219	29	10	discrete	discrete	ADJ
ajst-20219	29	11	representation	representation	NOUN
ajst-20219	29	12	techniques	technique	NOUN
ajst-20219	29	13	,	,	PUNCT
ajst-20219	29	14	such	such	ADJ
ajst-20219	29	15	as	as	ADP
ajst-20219	29	16	depth	depth	NOUN
ajst-20219	29	17	maps	map	NOUN
ajst-20219	29	18	,	,	PUNCT
ajst-20219	29	19	point	point	VERB
ajst-20219	29	20	clouds	cloud	NOUN
ajst-20219	29	21	and	and	CCONJ
ajst-20219	29	22	voxel	voxel	PROPN
ajst-20219	29	23	grids	grid	NOUN
ajst-20219	29	24	,	,	PUNCT
ajst-20219	29	25	which	which	PRON
ajst-20219	29	26	are	be	AUX
ajst-20219	29	27	widely	widely	ADV
ajst-20219	29	28	used	use	VERB
ajst-20219	29	29	in	in	ADP
ajst-20219	29	30	the	the	DET
ajst-20219	29	31	field	field	NOUN
ajst-20219	29	32	of	of	ADP
ajst-20219	29	33	3d	3d	PROPN
ajst-20219	29	34	reconstruction	reconstruction	NOUN
ajst-20219	29	35	.	.	PUNCT
ajst-20219	30	1	among	among	ADP
ajst-20219	30	2	them	they	PRON
ajst-20219	30	3	,	,	PUNCT
ajst-20219	30	4	depth	depth	NOUN
ajst-20219	30	5	map	map	NOUN
ajst-20219	30	6	has	have	AUX
ajst-20219	30	7	become	become	VERB
ajst-20219	30	8	the	the	DET
ajst-20219	30	9	most	most	ADV
ajst-20219	30	10	widely	widely	ADV
ajst-20219	30	11	used	use	VERB
ajst-20219	30	12	representation	representation	NOUN
ajst-20219	30	13	method	method	NOUN
ajst-20219	30	14	because	because	SCONJ
ajst-20219	30	15	of	of	ADP
ajst-20219	30	16	its	its	PRON
ajst-20219	30	17	high	high	ADJ
ajst-20219	30	18	flexibility	flexibility	NOUN
ajst-20219	30	19	and	and	CCONJ
ajst-20219	30	20	suitability	suitability	NOUN
ajst-20219	30	21	for	for	ADP
ajst-20219	30	22	parallel	parallel	ADJ
ajst-20219	30	23	computing	computing	NOUN
ajst-20219	30	24	.	.	PUNCT
ajst-20219	31	1	depth	depth	NOUN
ajst-20219	31	2	-	-	PUNCT
ajst-20219	31	3	based	base	VERB
ajst-20219	31	4	methods	method	NOUN
ajst-20219	31	5	usually	usually	ADV
ajst-20219	31	6	start	start	VERB
ajst-20219	31	7	by	by	ADP
ajst-20219	31	8	analyzing	analyze	VERB
ajst-20219	31	9	the	the	DET
ajst-20219	31	10	correlation	correlation	NOUN
ajst-20219	31	11	between	between	ADP
ajst-20219	31	12	multiple	multiple	ADJ
ajst-20219	31	13	input	input	NOUN
ajst-20219	31	14	images	image	NOUN
ajst-20219	31	15	and	and	CCONJ
ajst-20219	31	16	build	build	VERB
ajst-20219	31	17	a	a	DET
ajst-20219	31	18	threedimensional	threedimensional	ADJ
ajst-20219	31	19	model	model	NOUN
ajst-20219	31	20	by	by	ADP
ajst-20219	31	21	calculating	calculate	VERB
ajst-20219	31	22	depth	depth	NOUN
ajst-20219	31	23	maps	map	NOUN
ajst-20219	31	24	.	.	PUNCT
ajst-20219	32	1	after	after	ADP
ajst-20219	32	2	obtaining	obtain	VERB
ajst-20219	32	3	the	the	DET
ajst-20219	32	4	depth	depth	NOUN
ajst-20219	32	5	map	map	NOUN
ajst-20219	32	6	,	,	PUNCT
ajst-20219	32	7	further	further	ADJ
ajst-20219	32	8	fusion	fusion	NOUN
ajst-20219	32	9	is	be	AUX
ajst-20219	32	10	performed	perform	VERB
ajst-20219	32	11	to	to	PART
ajst-20219	32	12	generate	generate	VERB
ajst-20219	32	13	a	a	DET
ajst-20219	32	14	point	point	NOUN
ajst-20219	32	15	cloud	cloud	NOUN
ajst-20219	32	16	,	,	PUNCT
ajst-20219	32	17	and	and	CCONJ
ajst-20219	32	18	grid	grid	NOUN
ajst-20219	32	19	algorithms	algorithm	NOUN
ajst-20219	32	20	such	such	ADJ
ajst-20219	32	21	as	as	ADP
ajst-20219	32	22	poisson	poisson	PROPN
ajst-20219	32	23	surface	surface	NOUN
ajst-20219	32	24	reconstruction[2	reconstruction[2	PROPN
ajst-20219	32	25	]	]	PUNCT
ajst-20219	32	26	,	,	PUNCT
ajst-20219	32	27	spherical	spherical	ADJ
ajst-20219	32	28	projection[3	projection[3	PROPN
ajst-20219	32	29	]	]	PUNCT
ajst-20219	32	30	or	or	CCONJ
ajst-20219	32	31	delaunay	delaunay	PROPN
ajst-20219	32	32	triangulation[4	triangulation[4	PRON
ajst-20219	32	33	]	]	PUNCT
ajst-20219	32	34	are	be	AUX
ajst-20219	32	35	used	use	VERB
ajst-20219	32	36	to	to	PART
ajst-20219	32	37	convert	convert	VERB
ajst-20219	32	38	the	the	DET
ajst-20219	32	39	point	point	NOUN
ajst-20219	32	40	cloud	cloud	NOUN
ajst-20219	32	41	into	into	ADP
ajst-20219	32	42	a	a	DET
ajst-20219	32	43	grid	grid	NOUN
ajst-20219	32	44	form	form	NOUN
ajst-20219	32	45	.	.	PUNCT
ajst-20219	33	1	taking	take	VERB
ajst-20219	33	2	the	the	DET
ajst-20219	33	3	classic	classic	ADJ
ajst-20219	33	4	depth	depth	NOUN
ajst-20219	33	5	-	-	PUNCT
ajst-20219	33	6	based	base	VERB
ajst-20219	33	7	method	method	NOUN
ajst-20219	33	8	colmap[5	colmap[5	ADJ
ajst-20219	33	9	]	]	PUNCT
ajst-20219	33	10	as	as	ADP
ajst-20219	33	11	an	an	DET
ajst-20219	33	12	example	example	NOUN
ajst-20219	33	13	,	,	PUNCT
ajst-20219	33	14	it	it	PRON
ajst-20219	33	15	first	first	ADJ
ajst-20219	33	16	extracts	extract	VERB
ajst-20219	33	17	features	feature	NOUN
ajst-20219	33	18	in	in	ADP
ajst-20219	33	19	the	the	DET
ajst-20219	33	20	image	image	NOUN
ajst-20219	33	21	and	and	CCONJ
ajst-20219	33	22	matches	match	VERB
ajst-20219	33	23	them	they	PRON
ajst-20219	33	24	between	between	ADP
ajst-20219	33	25	different	different	ADJ
ajst-20219	33	26	views	view	NOUN
ajst-20219	33	27	to	to	PART
ajst-20219	33	28	estimate	estimate	VERB
ajst-20219	33	29	depth	depth	NOUN
ajst-20219	33	30	information	information	NOUN
ajst-20219	33	31	.	.	PUNCT
ajst-20219	34	1	subsequently	subsequently	ADV
ajst-20219	34	2	,	,	PUNCT
ajst-20219	34	3	a	a	DET
ajst-20219	34	4	dense	dense	ADJ
ajst-20219	34	5	point	point	NOUN
ajst-20219	34	6	cloud	cloud	NOUN
ajst-20219	34	7	is	be	AUX
ajst-20219	34	8	generated	generate	VERB
ajst-20219	34	9	by	by	ADP
ajst-20219	34	10	fusing	fuse	VERB
ajst-20219	34	11	these	these	DET
ajst-20219	34	12	predicted	predict	VERB
ajst-20219	34	13	depth	depth	NOUN
ajst-20219	34	14	maps	map	NOUN
ajst-20219	34	15	.	.	PUNCT
ajst-20219	35	1	finally	finally	ADV
ajst-20219	35	2	,	,	PUNCT
ajst-20219	35	3	an	an	DET
ajst-20219	35	4	additional	additional	ADJ
ajst-20219	35	5	meshing	meshing	NOUN
ajst-20219	35	6	step	step	NOUN
ajst-20219	35	7	is	be	AUX
ajst-20219	35	8	202	202	NUM
ajst-20219	35	9	applied	apply	VERB
ajst-20219	35	10	to	to	PART
ajst-20219	35	11	obtain	obtain	VERB
ajst-20219	35	12	the	the	DET
ajst-20219	35	13	surface	surface	NOUN
ajst-20219	35	14	representation	representation	NOUN
ajst-20219	35	15	from	from	ADP
ajst-20219	35	16	the	the	DET
ajst-20219	35	17	point	point	NOUN
ajst-20219	35	18	cloud	cloud	NOUN
ajst-20219	35	19	.	.	PUNCT
ajst-20219	36	1	however	however	ADV
ajst-20219	36	2	,	,	PUNCT
ajst-20219	36	3	such	such	ADJ
ajst-20219	36	4	methods	method	NOUN
ajst-20219	36	5	with	with	ADP
ajst-20219	36	6	complex	complex	ADJ
ajst-20219	36	7	processing	processing	NOUN
ajst-20219	36	8	pipelines	pipeline	NOUN
ajst-20219	36	9	often	often	ADV
ajst-20219	36	10	have	have	VERB
ajst-20219	36	11	some	some	DET
ajst-20219	36	12	problems	problem	NOUN
ajst-20219	36	13	.	.	PUNCT
ajst-20219	37	1	since	since	SCONJ
ajst-20219	37	2	errors	error	NOUN
ajst-20219	37	3	may	may	AUX
ajst-20219	37	4	be	be	AUX
ajst-20219	37	5	introduced	introduce	VERB
ajst-20219	37	6	at	at	ADP
ajst-20219	37	7	each	each	DET
ajst-20219	37	8	processing	processing	NOUN
ajst-20219	37	9	stage	stage	NOUN
ajst-20219	37	10	,	,	PUNCT
ajst-20219	37	11	these	these	DET
ajst-20219	37	12	errors	error	NOUN
ajst-20219	37	13	gradually	gradually	ADV
ajst-20219	37	14	accumulate	accumulate	VERB
ajst-20219	37	15	and	and	CCONJ
ajst-20219	37	16	may	may	AUX
ajst-20219	37	17	eventually	eventually	ADV
ajst-20219	37	18	lead	lead	VERB
ajst-20219	37	19	to	to	ADP
ajst-20219	37	20	incomplete	incomplete	ADJ
ajst-20219	37	21	3d	3d	NUM
ajst-20219	37	22	models	model	NOUN
ajst-20219	37	23	.	.	PUNCT
ajst-20219	38	1	especially	especially	ADV
ajst-20219	38	2	for	for	ADP
ajst-20219	38	3	non	non	ADJ
ajst-20219	38	4	-	-	ADJ
ajst-20219	38	5	lambertian	lambertian	ADJ
ajst-20219	38	6	surfaces	surface	NOUN
ajst-20219	38	7	(	(	PUNCT
ajst-20219	38	8	that	that	PRON
ajst-20219	38	9	is	is	ADV
ajst-20219	38	10	,	,	PUNCT
ajst-20219	38	11	objects	object	VERB
ajst-20219	38	12	whose	whose	DET
ajst-20219	38	13	surface	surface	NOUN
ajst-20219	38	14	reflection	reflection	NOUN
ajst-20219	38	15	characteristics	characteristic	NOUN
ajst-20219	38	16	do	do	AUX
ajst-20219	38	17	not	not	PART
ajst-20219	38	18	satisfy	satisfy	VERB
ajst-20219	38	19	lambertian	lambertian	ADJ
ajst-20219	38	20	reflection	reflection	NOUN
ajst-20219	38	21	law	law	NOUN
ajst-20219	38	22	)	)	PUNCT
ajst-20219	38	23	,	,	PUNCT
ajst-20219	38	24	traditional	traditional	ADJ
ajst-20219	38	25	methods	method	NOUN
ajst-20219	38	26	are	be	AUX
ajst-20219	38	27	often	often	ADV
ajst-20219	38	28	difficult	difficult	ADJ
ajst-20219	38	29	to	to	PART
ajst-20219	38	30	effectively	effectively	ADV
ajst-20219	38	31	handle	handle	VERB
ajst-20219	38	32	the	the	DET
ajst-20219	38	33	color	color	NOUN
ajst-20219	38	34	changes	change	NOUN
ajst-20219	38	35	related	relate	VERB
ajst-20219	38	36	to	to	ADP
ajst-20219	38	37	the	the	DET
ajst-20219	38	38	view	view	NOUN
ajst-20219	38	39	,	,	PUNCT
ajst-20219	38	40	further	far	ADV
ajst-20219	38	41	affecting	affect	VERB
ajst-20219	38	42	the	the	DET
ajst-20219	38	43	accuracy	accuracy	NOUN
ajst-20219	38	44	and	and	CCONJ
ajst-20219	38	45	detail	detail	NOUN
ajst-20219	38	46	performance	performance	NOUN
ajst-20219	38	47	of	of	ADP
ajst-20219	38	48	the	the	DET
ajst-20219	38	49	reconstruction	reconstruction	NOUN
ajst-20219	38	50	.	.	PUNCT
ajst-20219	39	1	therefore	therefore	ADV
ajst-20219	39	2	,	,	PUNCT
ajst-20219	39	3	current	current	ADJ
ajst-20219	39	4	research	research	NOUN
ajst-20219	39	5	is	be	AUX
ajst-20219	39	6	actively	actively	ADV
ajst-20219	39	7	exploring	explore	VERB
ajst-20219	39	8	new	new	ADJ
ajst-20219	39	9	methods	method	NOUN
ajst-20219	39	10	to	to	PART
ajst-20219	39	11	overcome	overcome	VERB
ajst-20219	39	12	these	these	DET
ajst-20219	39	13	limitations	limitation	NOUN
ajst-20219	39	14	.	.	PUNCT
ajst-20219	40	1	among	among	ADP
ajst-20219	40	2	them	they	PRON
ajst-20219	40	3	,	,	PUNCT
ajst-20219	40	4	neural	neural	ADJ
ajst-20219	40	5	radiation	radiation	NOUN
ajst-20219	40	6	fields	field	NOUN
ajst-20219	40	7	,	,	PUNCT
ajst-20219	40	8	as	as	ADP
ajst-20219	40	9	an	an	DET
ajst-20219	40	10	emerging	emerge	VERB
ajst-20219	40	11	technology	technology	NOUN
ajst-20219	40	12	,	,	PUNCT
ajst-20219	40	13	are	be	AUX
ajst-20219	40	14	receiving	receive	VERB
ajst-20219	40	15	widespread	widespread	ADJ
ajst-20219	40	16	attention	attention	NOUN
ajst-20219	40	17	.	.	PUNCT
ajst-20219	41	1	this	this	DET
ajst-20219	41	2	method	method	NOUN
ajst-20219	41	3	aims	aim	VERB
ajst-20219	41	4	to	to	PART
ajst-20219	41	5	directly	directly	ADV
ajst-20219	41	6	learn	learn	VERB
ajst-20219	41	7	the	the	DET
ajst-20219	41	8	mapping	mapping	NOUN
ajst-20219	41	9	from	from	ADP
ajst-20219	41	10	images	image	NOUN
ajst-20219	41	11	to	to	ADP
ajst-20219	41	12	3d	3d	NUM
ajst-20219	41	13	space	space	NOUN
ajst-20219	41	14	through	through	ADP
ajst-20219	41	15	deep	deep	ADJ
ajst-20219	41	16	learning	learning	NOUN
ajst-20219	41	17	models	model	NOUN
ajst-20219	41	18	,	,	PUNCT
ajst-20219	41	19	thereby	thereby	ADV
ajst-20219	41	20	achieving	achieve	VERB
ajst-20219	41	21	more	more	ADV
ajst-20219	41	22	accurate	accurate	ADJ
ajst-20219	41	23	and	and	CCONJ
ajst-20219	41	24	detailed	detailed	ADJ
ajst-20219	41	25	3d	3d	NUM
ajst-20219	41	26	model	model	NOUN
ajst-20219	41	27	reconstruction	reconstruction	NOUN
ajst-20219	41	28	.	.	PUNCT
ajst-20219	42	1	2.2	2.2	NUM
ajst-20219	42	2	.	.	PUNCT
ajst-20219	42	3	reflective	reflective	ADJ
ajst-20219	42	4	object	object	NOUN
ajst-20219	42	5	reconstruction	reconstruction	NOUN
ajst-20219	42	6	.	.	PUNCT
ajst-20219	43	1	the	the	DET
ajst-20219	43	2	presence	presence	NOUN
ajst-20219	43	3	of	of	ADP
ajst-20219	43	4	reflective	reflective	ADJ
ajst-20219	43	5	surfaces	surface	NOUN
ajst-20219	43	6	is	be	AUX
ajst-20219	43	7	extremely	extremely	ADV
ajst-20219	43	8	common	common	ADJ
ajst-20219	43	9	in	in	ADP
ajst-20219	43	10	real	real	ADJ
ajst-20219	43	11	-	-	PUNCT
ajst-20219	43	12	life	life	NOUN
ajst-20219	43	13	scenes	scene	NOUN
ajst-20219	43	14	and	and	CCONJ
ajst-20219	43	15	has	have	VERB
ajst-20219	43	16	a	a	DET
ajst-20219	43	17	profound	profound	ADJ
ajst-20219	43	18	impact	impact	NOUN
ajst-20219	43	19	on	on	ADP
ajst-20219	43	20	the	the	DET
ajst-20219	43	21	immersive	immersive	ADJ
ajst-20219	43	22	quality	quality	NOUN
ajst-20219	43	23	of	of	ADP
ajst-20219	43	24	virtual	virtual	ADJ
ajst-20219	43	25	experiences	experience	NOUN
ajst-20219	43	26	.	.	PUNCT
ajst-20219	44	1	such	such	ADJ
ajst-20219	44	2	reflective	reflective	ADJ
ajst-20219	44	3	objects	object	NOUN
ajst-20219	44	4	usually	usually	ADV
ajst-20219	44	5	have	have	VERB
ajst-20219	44	6	smooth	smooth	ADJ
ajst-20219	44	7	surfaces	surface	NOUN
ajst-20219	44	8	that	that	PRON
ajst-20219	44	9	can	can	AUX
ajst-20219	44	10	reflect	reflect	VERB
ajst-20219	44	11	incident	incident	NOUN
ajst-20219	44	12	light	light	NOUN
ajst-20219	44	13	of	of	ADP
ajst-20219	44	14	different	different	ADJ
ajst-20219	44	15	intensities	intensity	NOUN
ajst-20219	44	16	.	.	PUNCT
ajst-20219	45	1	therefore	therefore	ADV
ajst-20219	45	2	,	,	PUNCT
ajst-20219	45	3	the	the	DET
ajst-20219	45	4	reflection	reflection	NOUN
ajst-20219	45	5	effect	effect	NOUN
ajst-20219	45	6	will	will	AUX
ajst-20219	45	7	cause	cause	VERB
ajst-20219	45	8	the	the	DET
ajst-20219	45	9	color	color	NOUN
ajst-20219	45	10	of	of	ADP
ajst-20219	45	11	the	the	DET
ajst-20219	45	12	object	object	NOUN
ajst-20219	45	13	to	to	PART
ajst-20219	45	14	appear	appear	VERB
ajst-20219	45	15	inconsistent	inconsistent	ADJ
ajst-20219	45	16	at	at	ADP
ajst-20219	45	17	different	different	ADJ
ajst-20219	45	18	viewing	viewing	NOUN
ajst-20219	45	19	angles	angle	NOUN
ajst-20219	45	20	.	.	PUNCT
ajst-20219	46	1	in	in	ADP
ajst-20219	46	2	addition	addition	NOUN
ajst-20219	46	3	,	,	PUNCT
ajst-20219	46	4	reflection	reflection	NOUN
ajst-20219	46	5	phenomena	phenomenon	NOUN
ajst-20219	46	6	may	may	AUX
ajst-20219	46	7	also	also	ADV
ajst-20219	46	8	cause	cause	VERB
ajst-20219	46	9	significant	significant	ADJ
ajst-20219	46	10	interference	interference	NOUN
ajst-20219	46	11	in	in	ADP
ajst-20219	46	12	multi	multi	ADJ
ajst-20219	46	13	-	-	ADJ
ajst-20219	46	14	view	view	ADJ
ajst-20219	46	15	consistency	consistency	NOUN
ajst-20219	46	16	,	,	PUNCT
ajst-20219	46	17	posing	pose	VERB
ajst-20219	46	18	a	a	DET
ajst-20219	46	19	challenge	challenge	NOUN
ajst-20219	46	20	to	to	ADP
ajst-20219	46	21	existing	exist	VERB
ajst-20219	46	22	3d	3d	NUM
ajst-20219	46	23	reconstruction	reconstruction	NOUN
ajst-20219	46	24	methods	method	NOUN
ajst-20219	46	25	.	.	PUNCT
ajst-20219	47	1	although	although	SCONJ
ajst-20219	47	2	neural	neural	ADJ
ajst-20219	47	3	representation	representation	NOUN
ajst-20219	47	4	methods	method	NOUN
ajst-20219	47	5	such	such	ADJ
ajst-20219	47	6	as	as	ADP
ajst-20219	47	7	nerf[6	nerf[6	NOUN
ajst-20219	47	8	]	]	PUNCT
ajst-20219	47	9	and	and	CCONJ
ajst-20219	47	10	neus[7	neus[7	NOUN
ajst-20219	47	11	]	]	PUNCT
ajst-20219	47	12	have	have	AUX
ajst-20219	47	13	achieved	achieve	VERB
ajst-20219	47	14	unprecedented	unprecedented	ADJ
ajst-20219	47	15	reconstruction	reconstruction	NOUN
ajst-20219	47	16	quality	quality	NOUN
ajst-20219	47	17	,	,	PUNCT
ajst-20219	47	18	they	they	PRON
ajst-20219	47	19	still	still	ADV
ajst-20219	47	20	face	face	VERB
ajst-20219	47	21	difficulties	difficulty	NOUN
ajst-20219	47	22	in	in	ADP
ajst-20219	47	23	accurately	accurately	ADV
ajst-20219	47	24	capturing	capture	VERB
ajst-20219	47	25	and	and	CCONJ
ajst-20219	47	26	reconstructing	reconstruct	VERB
ajst-20219	47	27	the	the	DET
ajst-20219	47	28	appearance	appearance	NOUN
ajst-20219	47	29	of	of	ADP
ajst-20219	47	30	reflective	reflective	ADJ
ajst-20219	47	31	surfaces	surface	NOUN
ajst-20219	47	32	,	,	PUNCT
ajst-20219	47	33	especially	especially	ADV
ajst-20219	47	34	complex	complex	ADJ
ajst-20219	47	35	specular	specular	ADJ
ajst-20219	47	36	reflections	reflection	NOUN
ajst-20219	47	37	such	such	ADJ
ajst-20219	47	38	as	as	ADP
ajst-20219	47	39	those	those	PRON
ajst-20219	47	40	on	on	ADP
ajst-20219	47	41	glass	glass	NOUN
ajst-20219	47	42	or	or	CCONJ
ajst-20219	47	43	mirrors	mirror	NOUN
ajst-20219	47	44	.	.	PUNCT
ajst-20219	48	1	this	this	DET
ajst-20219	48	2	limitation	limitation	NOUN
ajst-20219	48	3	mainly	mainly	ADV
ajst-20219	48	4	stems	stem	VERB
ajst-20219	48	5	from	from	ADP
ajst-20219	48	6	the	the	DET
ajst-20219	48	7	complexity	complexity	NOUN
ajst-20219	48	8	of	of	ADP
ajst-20219	48	9	modeling	model	VERB
ajst-20219	48	10	the	the	DET
ajst-20219	48	11	scene	scene	NOUN
ajst-20219	48	12	behind	behind	ADP
ajst-20219	48	13	reflections	reflection	NOUN
ajst-20219	48	14	,	,	PUNCT
ajst-20219	48	15	such	such	ADJ
ajst-20219	48	16	as	as	ADP
ajst-20219	48	17	the	the	DET
ajst-20219	48	18	handling	handling	NOUN
ajst-20219	48	19	of	of	ADP
ajst-20219	48	20	surface	surface	NOUN
ajst-20219	48	21	translucency	translucency	NOUN
ajst-20219	48	22	(	(	PUNCT
ajst-20219	48	23	such	such	ADJ
ajst-20219	48	24	as	as	ADP
ajst-20219	48	25	fog	fog	NOUN
ajst-20219	48	26	effects	effect	NOUN
ajst-20219	48	27	)	)	PUNCT
ajst-20219	48	28	.	.	PUNCT
ajst-20219	49	1	furthermore	furthermore	ADV
ajst-20219	49	2	,	,	PUNCT
ajst-20219	49	3	these	these	DET
ajst-20219	49	4	methods	method	NOUN
ajst-20219	49	5	usually	usually	ADV
ajst-20219	49	6	consider	consider	VERB
ajst-20219	49	7	all	all	DET
ajst-20219	49	8	spatial	spatial	ADJ
ajst-20219	49	9	points	point	NOUN
ajst-20219	49	10	along	along	ADP
ajst-20219	49	11	the	the	DET
ajst-20219	49	12	camera	camera	NOUN
ajst-20219	49	13	ray	ray	NOUN
ajst-20219	49	14	path	path	NOUN
ajst-20219	49	15	when	when	SCONJ
ajst-20219	49	16	interpreting	interpret	VERB
ajst-20219	49	17	the	the	DET
ajst-20219	49	18	color	color	NOUN
ajst-20219	49	19	of	of	ADP
ajst-20219	49	20	points	point	NOUN
ajst-20219	49	21	on	on	ADP
ajst-20219	49	22	reflective	reflective	ADJ
ajst-20219	49	23	surfaces	surface	NOUN
ajst-20219	49	24	,	,	PUNCT
ajst-20219	49	25	but	but	CCONJ
ajst-20219	49	26	ignore	ignore	VERB
ajst-20219	49	27	the	the	DET
ajst-20219	49	28	changes	change	NOUN
ajst-20219	49	29	in	in	ADP
ajst-20219	49	30	the	the	DET
ajst-20219	49	31	color	color	NOUN
ajst-20219	49	32	of	of	ADP
ajst-20219	49	33	reflective	reflective	ADJ
ajst-20219	49	34	surfaces	surface	NOUN
ajst-20219	49	35	when	when	SCONJ
ajst-20219	49	36	viewed	view	VERB
ajst-20219	49	37	from	from	ADP
ajst-20219	49	38	different	different	ADJ
ajst-20219	49	39	directions	direction	NOUN
ajst-20219	49	40	.	.	PUNCT
ajst-20219	50	1	to	to	PART
ajst-20219	50	2	address	address	VERB
ajst-20219	50	3	the	the	DET
ajst-20219	50	4	challenge	challenge	NOUN
ajst-20219	50	5	of	of	ADP
ajst-20219	50	6	reflective	reflective	ADJ
ajst-20219	50	7	surface	surface	NOUN
ajst-20219	50	8	reconstruction	reconstruction	NOUN
ajst-20219	50	9	,	,	PUNCT
ajst-20219	50	10	verbin	verbin	PROPN
ajst-20219	50	11	et	et	PROPN
ajst-20219	50	12	al.[8	al.[8	PROPN
ajst-20219	50	13	]	]	PUNCT
ajst-20219	50	14	proposed	propose	VERB
ajst-20219	50	15	ref	ref	NOUN
ajst-20219	50	16	-	-	PUNCT
ajst-20219	50	17	nerf	nerf	NOUN
ajst-20219	50	18	,	,	PUNCT
ajst-20219	50	19	which	which	PRON
ajst-20219	50	20	replaces	replace	VERB
ajst-20219	50	21	the	the	DET
ajst-20219	50	22	original	original	ADJ
ajst-20219	50	23	radiation	radiation	NOUN
ajst-20219	50	24	dependence	dependence	NOUN
ajst-20219	50	25	by	by	ADP
ajst-20219	50	26	enhancing	enhance	VERB
ajst-20219	50	27	nerf	nerf	NOUN
ajst-20219	50	28	and	and	CCONJ
ajst-20219	50	29	introducing	introduce	VERB
ajst-20219	50	30	a	a	DET
ajst-20219	50	31	representation	representation	NOUN
ajst-20219	50	32	of	of	ADP
ajst-20219	50	33	the	the	DET
ajst-20219	50	34	reflection	reflection	NOUN
ajst-20219	50	35	direction	direction	NOUN
ajst-20219	50	36	,	,	PUNCT
ajst-20219	50	37	thereby	thereby	ADV
ajst-20219	50	38	generating	generate	VERB
ajst-20219	50	39	a	a	DET
ajst-20219	50	40	more	more	ADV
ajst-20219	50	41	accurate	accurate	ADJ
ajst-20219	50	42	radiation	radiation	NOUN
ajst-20219	50	43	field	field	NOUN
ajst-20219	50	44	.	.	PUNCT
ajst-20219	51	1	at	at	ADP
ajst-20219	51	2	the	the	DET
ajst-20219	51	3	same	same	ADJ
ajst-20219	51	4	time	time	NOUN
ajst-20219	51	5	,	,	PUNCT
ajst-20219	51	6	other	other	ADJ
ajst-20219	51	7	studies	study	NOUN
ajst-20219	51	8	have	have	AUX
ajst-20219	51	9	proposed	propose	VERB
ajst-20219	51	10	volume	volume	NOUN
ajst-20219	51	11	density	density	NOUN
ajst-20219	51	12	regularization	regularization	NOUN
ajst-20219	51	13	methods	method	NOUN
ajst-20219	51	14	,	,	PUNCT
ajst-20219	51	15	aiming	aim	VERB
ajst-20219	51	16	to	to	PART
ajst-20219	51	17	improve	improve	VERB
ajst-20219	51	18	the	the	DET
ajst-20219	51	19	reconstruction	reconstruction	NOUN
ajst-20219	51	20	quality	quality	NOUN
ajst-20219	51	21	of	of	ADP
ajst-20219	51	22	nerf	nerf	NOUN
ajst-20219	51	23	normal	normal	ADJ
ajst-20219	51	24	vectors	vector	NOUN
ajst-20219	51	25	to	to	PART
ajst-20219	51	26	render	render	VERB
ajst-20219	51	27	specular	specular	ADJ
ajst-20219	51	28	reflections	reflection	NOUN
ajst-20219	51	29	more	more	ADV
ajst-20219	51	30	realistically	realistically	ADV
ajst-20219	51	31	.	.	PUNCT
ajst-20219	52	1	similarly	similarly	ADV
ajst-20219	52	2	,	,	PUNCT
ajst-20219	52	3	nerfren[9	nerfren[9	PRON
ajst-20219	52	4	]	]	PUNCT
ajst-20219	52	5	extends	extend	VERB
ajst-20219	52	6	nerf	nerf	NOUN
ajst-20219	52	7	by	by	ADP
ajst-20219	52	8	segmenting	segment	VERB
ajst-20219	52	9	the	the	DET
ajst-20219	52	10	scene	scene	NOUN
ajst-20219	52	11	into	into	ADP
ajst-20219	52	12	transmission	transmission	NOUN
ajst-20219	52	13	and	and	CCONJ
ajst-20219	52	14	reflection	reflection	NOUN
ajst-20219	52	15	components	component	NOUN
ajst-20219	52	16	,	,	PUNCT
ajst-20219	52	17	modeling	model	VERB
ajst-20219	52	18	these	these	DET
ajst-20219	52	19	components	component	NOUN
ajst-20219	52	20	with	with	ADP
ajst-20219	52	21	separate	separate	ADJ
ajst-20219	52	22	neural	neural	ADJ
ajst-20219	52	23	radiation	radiation	NOUN
ajst-20219	52	24	fields	field	NOUN
ajst-20219	52	25	,	,	PUNCT
ajst-20219	52	26	and	and	CCONJ
ajst-20219	52	27	synthesizing	synthesize	VERB
ajst-20219	52	28	new	new	ADJ
ajst-20219	52	29	perspectives	perspective	NOUN
ajst-20219	52	30	through	through	ADP
ajst-20219	52	31	weighted	weight	VERB
ajst-20219	52	32	combinations	combination	NOUN
ajst-20219	52	33	.	.	PUNCT
ajst-20219	53	1	both	both	PRON
ajst-20219	53	2	qualitative	qualitative	ADJ
ajst-20219	53	3	and	and	CCONJ
ajst-20219	53	4	quantitative	quantitative	ADJ
ajst-20219	53	5	results	result	NOUN
ajst-20219	53	6	demonstrate	demonstrate	VERB
ajst-20219	53	7	the	the	DET
ajst-20219	53	8	superiority	superiority	NOUN
ajst-20219	53	9	of	of	ADP
ajst-20219	53	10	this	this	DET
ajst-20219	53	11	method	method	NOUN
ajst-20219	53	12	in	in	ADP
ajst-20219	53	13	psnr	psnr	NOUN
ajst-20219	53	14	and	and	CCONJ
ajst-20219	53	15	its	its	PRON
ajst-20219	53	16	ability	ability	NOUN
ajst-20219	53	17	to	to	PART
ajst-20219	53	18	accurately	accurately	ADV
ajst-20219	53	19	reproduce	reproduce	VERB
ajst-20219	53	20	specular	specular	ADJ
ajst-20219	53	21	reflections	reflection	NOUN
ajst-20219	53	22	.	.	PUNCT
ajst-20219	54	1	additionally	additionally	ADV
ajst-20219	54	2	,	,	PUNCT
ajst-20219	54	3	there	there	PRON
ajst-20219	54	4	are	be	VERB
ajst-20219	54	5	studies	study	NOUN
ajst-20219	54	6	exploring	explore	VERB
ajst-20219	54	7	view	view	NOUN
ajst-20219	54	8	-	-	PUNCT
ajst-20219	54	9	dependent	dependent	ADJ
ajst-20219	54	10	reflective	reflective	ADJ
ajst-20219	54	11	appearance	appearance	NOUN
ajst-20219	54	12	rendering	render	VERB
ajst-20219	54	13	by	by	ADP
ajst-20219	54	14	decomposing	decompose	VERB
ajst-20219	54	15	the	the	DET
ajst-20219	54	16	scene	scene	NOUN
ajst-20219	54	17	into	into	ADP
ajst-20219	54	18	multiple	multiple	ADJ
ajst-20219	54	19	physical	physical	ADJ
ajst-20219	54	20	components	component	NOUN
ajst-20219	54	21	such	such	ADJ
ajst-20219	54	22	as	as	ADP
ajst-20219	54	23	shape	shape	NOUN
ajst-20219	54	24	,	,	PUNCT
ajst-20219	54	25	reflectivity	reflectivity	NOUN
ajst-20219	54	26	,	,	PUNCT
ajst-20219	54	27	and	and	CCONJ
ajst-20219	54	28	lighting	lighting	NOUN
ajst-20219	54	29	.	.	PUNCT
ajst-20219	55	1	however	however	ADV
ajst-20219	55	2	,	,	PUNCT
ajst-20219	55	3	ge	ge	PROPN
ajst-20219	55	4	et	et	PROPN
ajst-20219	55	5	al.[10	al.[10	PROPN
ajst-20219	55	6	]	]	PUNCT
ajst-20219	55	7	pointed	point	VERB
ajst-20219	55	8	out	out	ADP
ajst-20219	55	9	that	that	SCONJ
ajst-20219	55	10	this	this	DET
ajst-20219	55	11	decomposition	decomposition	NOUN
ajst-20219	55	12	may	may	AUX
ajst-20219	55	13	lead	lead	VERB
ajst-20219	55	14	to	to	ADP
ajst-20219	55	15	inaccuracies	inaccuracy	NOUN
ajst-20219	55	16	,	,	PUNCT
ajst-20219	55	17	which	which	PRON
ajst-20219	55	18	in	in	ADP
ajst-20219	55	19	turn	turn	NOUN
ajst-20219	55	20	affects	affect	VERB
ajst-20219	55	21	the	the	DET
ajst-20219	55	22	reconstruction	reconstruction	NOUN
ajst-20219	55	23	performance	performance	NOUN
ajst-20219	55	24	.	.	PUNCT
ajst-20219	56	1	therefore	therefore	ADV
ajst-20219	56	2	,	,	PUNCT
ajst-20219	56	3	they	they	PRON
ajst-20219	56	4	introduced	introduce	VERB
ajst-20219	56	5	ref	ref	NOUN
ajst-20219	56	6	-	-	PUNCT
ajst-20219	56	7	neus	neus	NOUN
ajst-20219	56	8	based	base	VERB
ajst-20219	56	9	on	on	ADP
ajst-20219	56	10	neus	neus	NOUN
ajst-20219	56	11	and	and	CCONJ
ajst-20219	56	12	proposed	propose	VERB
ajst-20219	56	13	a	a	DET
ajst-20219	56	14	strategy	strategy	NOUN
ajst-20219	56	15	to	to	PART
ajst-20219	56	16	reduce	reduce	VERB
ajst-20219	56	17	the	the	DET
ajst-20219	56	18	importance	importance	NOUN
ajst-20219	56	19	of	of	ADP
ajst-20219	56	20	reflective	reflective	ADJ
ajst-20219	56	21	surfaces	surface	NOUN
ajst-20219	56	22	.	.	PUNCT
ajst-20219	57	1	ref	ref	NOUN
ajst-20219	57	2	-	-	PUNCT
ajst-20219	57	3	neus	neus	NOUN
ajst-20219	57	4	leverages	leverage	VERB
ajst-20219	57	5	multi	multi	ADJ
ajst-20219	57	6	-	-	ADJ
ajst-20219	57	7	view	view	ADJ
ajst-20219	57	8	context	context	NOUN
ajst-20219	57	9	to	to	PART
ajst-20219	57	10	estimate	estimate	VERB
ajst-20219	57	11	explicit	explicit	ADJ
ajst-20219	57	12	reflection	reflection	NOUN
ajst-20219	57	13	scores	score	NOUN
ajst-20219	57	14	,	,	PUNCT
ajst-20219	57	15	helps	helps	AUX
ajst-20219	57	16	identify	identify	VERB
ajst-20219	57	17	reflective	reflective	ADJ
ajst-20219	57	18	surface	surface	NOUN
ajst-20219	57	19	locations	location	NOUN
ajst-20219	57	20	,	,	PUNCT
ajst-20219	57	21	and	and	CCONJ
ajst-20219	57	22	designs	design	VERB
ajst-20219	57	23	photometric	photometric	NOUN
ajst-20219	57	24	losses	loss	NOUN
ajst-20219	57	25	to	to	PART
ajst-20219	57	26	dynamically	dynamically	ADV
ajst-20219	57	27	reduce	reduce	VERB
ajst-20219	57	28	blurring	blurring	NOUN
ajst-20219	57	29	.	.	PUNCT
ajst-20219	58	1	compared	compare	VERB
ajst-20219	58	2	with	with	ADP
ajst-20219	58	3	refnerf	refnerf	NOUN
ajst-20219	58	4	,	,	PUNCT
ajst-20219	58	5	ref	ref	NOUN
ajst-20219	58	6	-	-	PUNCT
ajst-20219	58	7	neus	neus	NOUN
ajst-20219	58	8	achieves	achieve	VERB
ajst-20219	58	9	higher	high	ADJ
ajst-20219	58	10	psnr	psnr	NOUN
ajst-20219	58	11	,	,	PUNCT
ajst-20219	58	12	significantly	significantly	ADV
ajst-20219	58	13	improving	improve	VERB
ajst-20219	58	14	reconstruction	reconstruction	NOUN
ajst-20219	58	15	accuracy	accuracy	NOUN
ajst-20219	58	16	and	and	CCONJ
ajst-20219	58	17	accuracy	accuracy	NOUN
ajst-20219	58	18	of	of	ADP
ajst-20219	58	19	reflective	reflective	ADJ
ajst-20219	58	20	surface	surface	NOUN
ajst-20219	58	21	normals	normal	NOUN
ajst-20219	58	22	.	.	PUNCT
ajst-20219	59	1	in	in	ADP
ajst-20219	59	2	recent	recent	ADJ
ajst-20219	59	3	research	research	NOUN
ajst-20219	59	4	,	,	PUNCT
ajst-20219	59	5	a	a	DET
ajst-20219	59	6	novel	novel	ADJ
ajst-20219	59	7	neural	neural	ADJ
ajst-20219	59	8	reconstruction	reconstruction	NOUN
ajst-20219	59	9	method	method	NOUN
ajst-20219	59	10	named	name	VERB
ajst-20219	59	11	nero[11	nero[11	PROPN
ajst-20219	59	12	]	]	PUNCT
ajst-20219	59	13	is	be	AUX
ajst-20219	59	14	proposed	propose	VERB
ajst-20219	59	15	,	,	PUNCT
ajst-20219	59	16	which	which	PRON
ajst-20219	59	17	can	can	AUX
ajst-20219	59	18	accurately	accurately	ADV
ajst-20219	59	19	reconstruct	reconstruct	VERB
ajst-20219	59	20	the	the	DET
ajst-20219	59	21	geometry	geometry	NOUN
ajst-20219	59	22	of	of	ADP
ajst-20219	59	23	reflective	reflective	ADJ
ajst-20219	59	24	objects	object	NOUN
ajst-20219	59	25	without	without	ADP
ajst-20219	59	26	knowing	know	VERB
ajst-20219	59	27	the	the	DET
ajst-20219	59	28	ambient	ambient	ADJ
ajst-20219	59	29	lighting	lighting	NOUN
ajst-20219	59	30	conditions	condition	NOUN
ajst-20219	59	31	and	and	CCONJ
ajst-20219	59	32	object	object	VERB
ajst-20219	59	33	masks	mask	NOUN
ajst-20219	59	34	.	.	PUNCT
ajst-20219	60	1	the	the	DET
ajst-20219	60	2	core	core	ADJ
ajst-20219	60	3	idea	idea	NOUN
ajst-20219	60	4	of	of	ADP
ajst-20219	60	5	this	this	DET
ajst-20219	60	6	method	method	NOUN
ajst-20219	60	7	involves	involve	VERB
ajst-20219	60	8	incorporating	incorporate	VERB
ajst-20219	60	9	the	the	DET
ajst-20219	60	10	explicit	explicit	ADJ
ajst-20219	60	11	integration	integration	NOUN
ajst-20219	60	12	of	of	ADP
ajst-20219	60	13	the	the	DET
ajst-20219	60	14	rendering	rendering	NOUN
ajst-20219	60	15	equation	equation	NOUN
ajst-20219	60	16	into	into	ADP
ajst-20219	60	17	a	a	DET
ajst-20219	60	18	neural	neural	ADJ
ajst-20219	60	19	reconstruction	reconstruction	NOUN
ajst-20219	60	20	framework	framework	NOUN
ajst-20219	60	21	,	,	PUNCT
ajst-20219	60	22	significantly	significantly	ADV
ajst-20219	60	23	enhancing	enhance	VERB
ajst-20219	60	24	the	the	DET
ajst-20219	60	25	representational	representational	ADJ
ajst-20219	60	26	power	power	NOUN
ajst-20219	60	27	of	of	ADP
ajst-20219	60	28	the	the	DET
ajst-20219	60	29	neural	neural	ADJ
ajst-20219	60	30	implicit	implicit	ADJ
ajst-20219	60	31	function	function	NOUN
ajst-20219	60	32	,	,	PUNCT
ajst-20219	60	33	enabling	enable	VERB
ajst-20219	60	34	it	it	PRON
ajst-20219	60	35	to	to	PART
ajst-20219	60	36	capture	capture	VERB
ajst-20219	60	37	high	high	ADJ
ajst-20219	60	38	-	-	PUNCT
ajst-20219	60	39	frequency	frequency	NOUN
ajst-20219	60	40	specular	specular	ADJ
ajst-20219	60	41	color	color	NOUN
ajst-20219	60	42	changes	change	NOUN
ajst-20219	60	43	.	.	PUNCT
ajst-20219	61	1	3	3	X
ajst-20219	61	2	.	.	X
ajst-20219	61	3	method	method	VERB
ajst-20219	61	4	the	the	DET
ajst-20219	61	5	method	method	NOUN
ajst-20219	61	6	for	for	ADP
ajst-20219	61	7	reflective	reflective	ADJ
ajst-20219	61	8	surfaces	surface	NOUN
ajst-20219	61	9	proposed	propose	VERB
ajst-20219	61	10	in	in	ADP
ajst-20219	61	11	this	this	DET
ajst-20219	61	12	chapter	chapter	NOUN
ajst-20219	61	13	can	can	AUX
ajst-20219	61	14	be	be	AUX
ajst-20219	61	15	divided	divide	VERB
ajst-20219	61	16	into	into	ADP
ajst-20219	61	17	two	two	NUM
ajst-20219	61	18	stages	stage	NOUN
ajst-20219	61	19	.	.	PUNCT
ajst-20219	62	1	the	the	DET
ajst-20219	62	2	first	first	ADJ
ajst-20219	62	3	stage	stage	NOUN
ajst-20219	62	4	is	be	AUX
ajst-20219	62	5	to	to	PART
ajst-20219	62	6	reconstruct	reconstruct	VERB
ajst-20219	62	7	the	the	DET
ajst-20219	62	8	geometric	geometric	ADJ
ajst-20219	62	9	surface	surface	NOUN
ajst-20219	62	10	of	of	ADP
ajst-20219	62	11	the	the	DET
ajst-20219	62	12	reconstructed	reconstructed	ADJ
ajst-20219	62	13	object	object	NOUN
ajst-20219	62	14	.	.	PUNCT
ajst-20219	63	1	the	the	DET
ajst-20219	63	2	purpose	purpose	NOUN
ajst-20219	63	3	is	be	AUX
ajst-20219	63	4	to	to	PART
ajst-20219	63	5	reconstruct	reconstruct	VERB
ajst-20219	63	6	a	a	DET
ajst-20219	63	7	geometric	geometric	ADJ
ajst-20219	63	8	surface	surface	NOUN
ajst-20219	63	9	as	as	ADV
ajst-20219	63	10	accurate	accurate	ADJ
ajst-20219	63	11	as	as	ADP
ajst-20219	63	12	possible	possible	ADJ
ajst-20219	63	13	.	.	PUNCT
ajst-20219	64	1	the	the	DET
ajst-20219	64	2	work	work	NOUN
ajst-20219	64	3	in	in	ADP
ajst-20219	64	4	this	this	DET
ajst-20219	64	5	stage	stage	NOUN
ajst-20219	64	6	is	be	AUX
ajst-20219	64	7	mainly	mainly	ADV
ajst-20219	64	8	based	base	VERB
ajst-20219	64	9	on	on	ADP
ajst-20219	64	10	the	the	DET
ajst-20219	64	11	third	third	ADJ
ajst-20219	64	12	stage	stage	NOUN
ajst-20219	64	13	.	.	PUNCT
ajst-20219	65	1	it	it	PRON
ajst-20219	65	2	is	be	AUX
ajst-20219	65	3	carried	carry	VERB
ajst-20219	65	4	out	out	ADP
ajst-20219	65	5	based	base	VERB
ajst-20219	65	6	on	on	ADP
ajst-20219	65	7	the	the	DET
ajst-20219	65	8	improvement	improvement	NOUN
ajst-20219	65	9	of	of	ADP
ajst-20219	65	10	the	the	DET
ajst-20219	65	11	work	work	NOUN
ajst-20219	65	12	in	in	ADP
ajst-20219	65	13	chapter	chapter	NOUN
ajst-20219	65	14	3	3	NUM
ajst-20219	65	15	;	;	PUNCT
ajst-20219	65	16	the	the	DET
ajst-20219	65	17	second	second	ADJ
ajst-20219	65	18	stage	stage	NOUN
ajst-20219	65	19	is	be	AUX
ajst-20219	65	20	to	to	PART
ajst-20219	65	21	perform	perform	VERB
ajst-20219	65	22	special	special	ADJ
ajst-20219	65	23	processing	processing	NOUN
ajst-20219	65	24	on	on	ADP
ajst-20219	65	25	the	the	DET
ajst-20219	65	26	reflective	reflective	ADJ
ajst-20219	65	27	surface	surface	NOUN
ajst-20219	65	28	,	,	PUNCT
ajst-20219	65	29	repair	repair	VERB
ajst-20219	65	30	the	the	DET
ajst-20219	65	31	reconstruction	reconstruction	NOUN
ajst-20219	65	32	results	result	NOUN
ajst-20219	65	33	of	of	ADP
ajst-20219	65	34	the	the	DET
ajst-20219	65	35	first	first	ADJ
ajst-20219	65	36	stage	stage	NOUN
ajst-20219	65	37	,	,	PUNCT
ajst-20219	65	38	and	and	CCONJ
ajst-20219	65	39	reconstruct	reconstruct	VERB
ajst-20219	65	40	the	the	DET
ajst-20219	65	41	material	material	ADJ
ajst-20219	65	42	information	information	NOUN
ajst-20219	65	43	of	of	ADP
ajst-20219	65	44	the	the	DET
ajst-20219	65	45	reflective	reflective	ADJ
ajst-20219	65	46	surface	surface	NOUN
ajst-20219	65	47	.	.	PUNCT
ajst-20219	66	1	the	the	DET
ajst-20219	66	2	overall	overall	ADJ
ajst-20219	66	3	process	process	NOUN
ajst-20219	66	4	of	of	ADP
ajst-20219	66	5	the	the	DET
ajst-20219	66	6	overall	overall	ADJ
ajst-20219	66	7	reconstruction	reconstruction	NOUN
ajst-20219	66	8	method	method	NOUN
ajst-20219	66	9	is	be	AUX
ajst-20219	66	10	shown	show	VERB
ajst-20219	66	11	in	in	ADP
ajst-20219	66	12	figure	figure	NOUN
ajst-20219	66	13	3	3	NUM
ajst-20219	66	14	-	-	SYM
ajst-20219	66	15	1	1	NUM
ajst-20219	66	16	below	below	ADV
ajst-20219	66	17	:	:	PUNCT
ajst-20219	66	18	figure	figure	VERB
ajst-20219	66	19	3	3	NUM
ajst-20219	66	20	-	-	SYM
ajst-20219	66	21	1	1	NUM
ajst-20219	66	22	.	.	PUNCT
ajst-20219	67	1	the	the	DET
ajst-20219	67	2	framework	framework	NOUN
ajst-20219	67	3	of	of	ADP
ajst-20219	67	4	our	our	PRON
ajst-20219	67	5	method	method	NOUN
ajst-20219	67	6	203	203	NUM
ajst-20219	67	7	3.1	3.1	NUM
ajst-20219	67	8	.	.	PUNCT
ajst-20219	67	9	geometry	geometry	NOUN
ajst-20219	67	10	reconstruction	reconstruction	NOUN
ajst-20219	67	11	in	in	ADP
ajst-20219	67	12	the	the	DET
ajst-20219	67	13	first	first	ADJ
ajst-20219	67	14	stage	stage	NOUN
ajst-20219	67	15	of	of	ADP
ajst-20219	67	16	reconstruction	reconstruction	NOUN
ajst-20219	67	17	,	,	PUNCT
ajst-20219	67	18	a	a	DET
ajst-20219	67	19	geometric	geometric	ADJ
ajst-20219	67	20	surface	surface	NOUN
ajst-20219	67	21	reconstruction	reconstruction	NOUN
ajst-20219	67	22	is	be	AUX
ajst-20219	67	23	required	require	VERB
ajst-20219	67	24	.	.	PUNCT
ajst-20219	68	1	however	however	ADV
ajst-20219	68	2	,	,	PUNCT
ajst-20219	68	3	due	due	ADP
ajst-20219	68	4	to	to	ADP
ajst-20219	68	5	the	the	DET
ajst-20219	68	6	various	various	ADJ
ajst-20219	68	7	problems	problem	NOUN
ajst-20219	68	8	mentioned	mention	VERB
ajst-20219	68	9	above	above	ADV
ajst-20219	68	10	on	on	ADP
ajst-20219	68	11	reflective	reflective	ADJ
ajst-20219	68	12	surfaces	surface	NOUN
ajst-20219	68	13	,	,	PUNCT
ajst-20219	68	14	it	it	PRON
ajst-20219	68	15	is	be	AUX
ajst-20219	68	16	impossible	impossible	ADJ
ajst-20219	68	17	to	to	PART
ajst-20219	68	18	accurately	accurately	ADV
ajst-20219	68	19	reconstruct	reconstruct	VERB
ajst-20219	68	20	the	the	DET
ajst-20219	68	21	geometric	geometric	ADJ
ajst-20219	68	22	surface	surface	NOUN
ajst-20219	68	23	information	information	NOUN
ajst-20219	68	24	of	of	ADP
ajst-20219	68	25	reflective	reflective	ADJ
ajst-20219	68	26	objects	object	NOUN
ajst-20219	68	27	.	.	PUNCT
ajst-20219	69	1	here	here	ADV
ajst-20219	69	2	,	,	PUNCT
ajst-20219	69	3	the	the	DET
ajst-20219	69	4	design	design	NOUN
ajst-20219	69	5	in	in	ADP
ajst-20219	69	6	refneus	refneus	NOUN
ajst-20219	69	7	is	be	AUX
ajst-20219	69	8	adopted	adopt	VERB
ajst-20219	69	9	,	,	PUNCT
ajst-20219	69	10	using	use	VERB
ajst-20219	69	11	a	a	DET
ajst-20219	69	12	color	color	NOUN
ajst-20219	69	13	loss	loss	NOUN
ajst-20219	69	14	𝐿	𝐿	PROPN
ajst-20219	69	15	that	that	PRON
ajst-20219	69	16	adaptively	adaptively	ADV
ajst-20219	69	17	reduces	reduce	VERB
ajst-20219	69	18	the	the	DET
ajst-20219	69	19	weight	weight	NOUN
ajst-20219	69	20	assigned	assign	VERB
ajst-20219	69	21	to	to	ADP
ajst-20219	69	22	reflective	reflective	ADJ
ajst-20219	69	23	pixels	pixel	NOUN
ajst-20219	69	24	to	to	PART
ajst-20219	69	25	overcome	overcome	VERB
ajst-20219	69	26	reconstruction	reconstruction	NOUN
ajst-20219	69	27	failures	failure	NOUN
ajst-20219	69	28	caused	cause	VERB
ajst-20219	69	29	by	by	ADP
ajst-20219	69	30	color	color	NOUN
ajst-20219	69	31	inconsistencies	inconsistency	NOUN
ajst-20219	69	32	observed	observe	VERB
ajst-20219	69	33	on	on	ADP
ajst-20219	69	34	glossy	glossy	ADJ
ajst-20219	69	35	surfaces	surface	NOUN
ajst-20219	69	36	.	.	PUNCT
ajst-20219	70	1	next	next	ADV
ajst-20219	70	2	,	,	PUNCT
ajst-20219	70	3	we	we	PRON
ajst-20219	70	4	will	will	AUX
ajst-20219	70	5	explain	explain	VERB
ajst-20219	70	6	how	how	SCONJ
ajst-20219	70	7	to	to	PART
ajst-20219	70	8	derive	derive	VERB
ajst-20219	70	9	𝐿	𝐿	PROPN
ajst-20219	70	10	.	.	PUNCT
ajst-20219	71	1	first	first	ADV
ajst-20219	71	2	,	,	PUNCT
ajst-20219	71	3	the	the	DET
ajst-20219	71	4	reflection	reflection	NOUN
ajst-20219	71	5	score	score	NOUN
ajst-20219	71	6	needs	need	VERB
ajst-20219	71	7	to	to	PART
ajst-20219	71	8	be	be	AUX
ajst-20219	71	9	defined	define	VERB
ajst-20219	71	10	in	in	ADP
ajst-20219	71	11	order	order	NOUN
ajst-20219	71	12	to	to	PART
ajst-20219	71	13	identify	identify	VERB
ajst-20219	71	14	the	the	DET
ajst-20219	71	15	pixels	pixel	NOUN
ajst-20219	71	16	corresponding	correspond	VERB
ajst-20219	71	17	to	to	ADP
ajst-20219	71	18	the	the	DET
ajst-20219	71	19	reflective	reflective	ADJ
ajst-20219	71	20	surface	surface	NOUN
ajst-20219	71	21	.	.	PUNCT
ajst-20219	72	1	the	the	DET
ajst-20219	72	2	same	same	ADJ
ajst-20219	72	3	method	method	NOUN
ajst-20219	72	4	used	use	VERB
ajst-20219	72	5	by	by	ADP
ajst-20219	72	6	nerf	nerf	NOUN
ajst-20219	72	7	-	-	PUNCT
ajst-20219	72	8	w[11	w[11	PROPN
ajst-20219	72	9	]	]	PUNCT
ajst-20219	72	10	is	be	AUX
ajst-20219	72	11	to	to	PART
ajst-20219	72	12	make	make	VERB
ajst-20219	72	13	the	the	DET
ajst-20219	72	14	rendering	rendering	NOUN
ajst-20219	72	15	color	color	NOUN
ajst-20219	72	16	of	of	ADP
ajst-20219	72	17	the	the	DET
ajst-20219	72	18	light	light	NOUN
ajst-20219	72	19	obey	obey	VERB
ajst-20219	72	20	the	the	DET
ajst-20219	72	21	gaussian	gaussian	ADJ
ajst-20219	72	22	distribution	distribution	NOUN
ajst-20219	72	23	:	:	PUNCT
ajst-20219	72	24	𝐶	𝐶	PROPN
ajst-20219	72	25	𝑟	𝑟	NOUN
ajst-20219	72	26	~	~	PUNCT
ajst-20219	72	27	�	�	SYM
ajst-20219	72	28	̅	̅	NOUN
ajst-20219	72	29	�	�	PROPN
ajst-20219	72	30	𝑟	𝑟	NOUN
ajst-20219	72	31	,	,	PUNCT
ajst-20219	72	32	�	�	PROPN
ajst-20219	72	33	̅	̅	NOUN
ajst-20219	72	34	�	�	NOUN
ajst-20219	72	35	𝑟	𝑟	NOUN
ajst-20219	72	36	(	(	PUNCT
ajst-20219	72	37	3	3	NUM
ajst-20219	72	38	-	-	SYM
ajst-20219	72	39	1	1	NUM
ajst-20219	72	40	)	)	PUNCT
ajst-20219	72	41	among	among	ADP
ajst-20219	72	42	them	they	PRON
ajst-20219	72	43	,	,	PUNCT
ajst-20219	72	44	�	�	NOUN
ajst-20219	72	45	̅	̅	NOUN
ajst-20219	72	46	�	�	NOUN
ajst-20219	72	47	𝑟	𝑟	NOUN
ajst-20219	72	48	and	and	CCONJ
ajst-20219	72	49	�	�	PROPN
ajst-20219	72	50	̅	̅	NOUN
ajst-20219	72	51	�	�	NOUN
ajst-20219	72	52	𝑟	𝑟	NOUN
ajst-20219	72	53	are	be	AUX
ajst-20219	72	54	the	the	DET
ajst-20219	72	55	mean	mean	ADJ
ajst-20219	72	56	and	and	CCONJ
ajst-20219	72	57	variance	variance	NOUN
ajst-20219	72	58	respectively	respectively	ADV
ajst-20219	72	59	.	.	PUNCT
ajst-20219	73	1	the	the	DET
ajst-20219	73	2	variance	variance	NOUN
ajst-20219	73	3	here	here	ADV
ajst-20219	73	4	is	be	AUX
ajst-20219	73	5	determined	determine	VERB
ajst-20219	73	6	based	base	VERB
ajst-20219	73	7	on	on	ADP
ajst-20219	73	8	the	the	DET
ajst-20219	73	9	color	color	NOUN
ajst-20219	73	10	in	in	ADP
ajst-20219	73	11	multiple	multiple	ADJ
ajst-20219	73	12	images	image	NOUN
ajst-20219	73	13	corresponding	correspond	VERB
ajst-20219	73	14	to	to	ADP
ajst-20219	73	15	the	the	DET
ajst-20219	73	16	same	same	ADJ
ajst-20219	73	17	point	point	NOUN
ajst-20219	73	18	.	.	PUNCT
ajst-20219	74	1	for	for	ADP
ajst-20219	74	2	the	the	DET
ajst-20219	74	3	reflective	reflective	ADJ
ajst-20219	74	4	surface	surface	NOUN
ajst-20219	74	5	,	,	PUNCT
ajst-20219	74	6	the	the	DET
ajst-20219	74	7	same	same	ADJ
ajst-20219	74	8	point	point	NOUN
ajst-20219	74	9	the	the	DET
ajst-20219	74	10	colors	color	NOUN
ajst-20219	74	11	observed	observe	VERB
ajst-20219	74	12	at	at	ADP
ajst-20219	74	13	different	different	ADJ
ajst-20219	74	14	viewing	viewing	NOUN
ajst-20219	74	15	angles	angle	NOUN
ajst-20219	74	16	are	be	AUX
ajst-20219	74	17	likely	likely	ADJ
ajst-20219	74	18	to	to	PART
ajst-20219	74	19	be	be	AUX
ajst-20219	74	20	different	different	ADJ
ajst-20219	74	21	,	,	PUNCT
ajst-20219	74	22	so	so	CCONJ
ajst-20219	74	23	the	the	DET
ajst-20219	74	24	variance	variance	NOUN
ajst-20219	74	25	will	will	AUX
ajst-20219	74	26	be	be	AUX
ajst-20219	74	27	larger	large	ADJ
ajst-20219	74	28	than	than	ADP
ajst-20219	74	29	the	the	DET
ajst-20219	74	30	points	point	NOUN
ajst-20219	74	31	on	on	ADP
ajst-20219	74	32	the	the	DET
ajst-20219	74	33	normal	normal	ADJ
ajst-20219	74	34	surface	surface	NOUN
ajst-20219	74	35	.	.	PUNCT
ajst-20219	75	1	in	in	ADP
ajst-20219	75	2	order	order	NOUN
ajst-20219	75	3	to	to	PART
ajst-20219	75	4	obtain	obtain	VERB
ajst-20219	75	5	the	the	DET
ajst-20219	75	6	multi	multi	ADJ
ajst-20219	75	7	-	-	ADJ
ajst-20219	75	8	view	view	ADJ
ajst-20219	75	9	pixel	pixel	NOUN
ajst-20219	75	10	color	color	NOUN
ajst-20219	75	11	𝐶	𝐶	PROPN
ajst-20219	75	12	𝑟	𝑟	NOUN
ajst-20219	75	13	,	,	PUNCT
ajst-20219	75	14	project	project	VERB
ajst-20219	75	15	the	the	DET
ajst-20219	75	16	surface	surface	NOUN
ajst-20219	75	17	point	point	NOUN
ajst-20219	75	18	x	x	PUNCT
ajst-20219	75	19	to	to	ADP
ajst-20219	75	20	all	all	DET
ajst-20219	75	21	multi	multi	ADJ
ajst-20219	75	22	-	-	ADJ
ajst-20219	75	23	view	view	ADJ
ajst-20219	75	24	images	image	NOUN
ajst-20219	75	25	𝐼	𝐼	ADP
ajst-20219	75	26	,	,	PUNCT
ajst-20219	75	27	and	and	CCONJ
ajst-20219	75	28	use	use	VERB
ajst-20219	75	29	bilinear	bilinear	ADJ
ajst-20219	75	30	interpolation	interpolation	NOUN
ajst-20219	75	31	to	to	PART
ajst-20219	75	32	obtain	obtain	VERB
ajst-20219	75	33	the	the	DET
ajst-20219	75	34	corresponding	corresponding	ADJ
ajst-20219	75	35	pixel	pixel	PROPN
ajst-20219	75	36	color	color	NOUN
ajst-20219	75	37	:	:	PUNCT
ajst-20219	75	38	𝑀	𝑀	PROPN
ajst-20219	75	39	𝐾	𝐾	PROPN
ajst-20219	75	40	𝑅	𝑅	PROPN
ajst-20219	75	41	𝑥	𝑥	PROPN
ajst-20219	75	42	𝑇	𝑇	PROPN
ajst-20219	75	43	(	(	PUNCT
ajst-20219	75	44	3	3	NUM
ajst-20219	75	45	-	-	SYM
ajst-20219	75	46	2	2	NUM
ajst-20219	75	47	)	)	PUNCT
ajst-20219	75	48	c	c	NOUN
ajst-20219	75	49	=	=	PROPN
ajst-20219	75	50	ƒ(i	ƒ(i	PROPN
ajst-20219	75	51	,	,	PUNCT
ajst-20219	75	52	m	m	PROPN
ajst-20219	75	53	)	)	PUNCT
ajst-20219	75	54	(	(	PUNCT
ajst-20219	75	55	3	3	NUM
ajst-20219	75	56	-	-	SYM
ajst-20219	75	57	3	3	NUM
ajst-20219	75	58	)	)	PUNCT
ajst-20219	75	59	among	among	ADP
ajst-20219	75	60	them	they	PRON
ajst-20219	75	61	,	,	PUNCT
ajst-20219	75	62	ƒ	ƒ	PRON
ajst-20219	75	63	(	(	PUNCT
ajst-20219	75	64	)	)	PUNCT
ajst-20219	75	65	represents	represent	VERB
ajst-20219	75	66	the	the	DET
ajst-20219	75	67	bilinear	bilinear	PROPN
ajst-20219	75	68	interpolation	interpolation	NOUN
ajst-20219	75	69	function	function	NOUN
ajst-20219	75	70	,	,	PUNCT
ajst-20219	75	71	k	k	PROPN
ajst-20219	75	72	represents	represent	VERB
ajst-20219	75	73	the	the	DET
ajst-20219	75	74	internal	internal	ADJ
ajst-20219	75	75	calibration	calibration	NOUN
ajst-20219	75	76	matrix	matrix	NOUN
ajst-20219	75	77	,	,	PUNCT
ajst-20219	75	78	r	r	NOUN
ajst-20219	75	79	represents	represent	VERB
ajst-20219	75	80	the	the	DET
ajst-20219	75	81	rotation	rotation	NOUN
ajst-20219	75	82	matrix	matrix	NOUN
ajst-20219	75	83	,	,	PUNCT
ajst-20219	75	84	t	t	PROPN
ajst-20219	75	85	represents	represent	VERB
ajst-20219	75	86	the	the	DET
ajst-20219	75	87	translation	translation	NOUN
ajst-20219	75	88	matrix	matrix	NOUN
ajst-20219	75	89	,	,	PUNCT
ajst-20219	75	90	m	m	VERB
ajst-20219	75	91	is	be	AUX
ajst-20219	75	92	the	the	DET
ajst-20219	75	93	transformation	transformation	NOUN
ajst-20219	75	94	matrix	matrix	NOUN
ajst-20219	75	95	,	,	PUNCT
ajst-20219	75	96	·	·	PUNCT
ajst-20219	75	97	is	be	AUX
ajst-20219	75	98	matrix	matrix	NOUN
ajst-20219	75	99	multiplication	multiplication	NOUN
ajst-20219	75	100	,	,	PUNCT
ajst-20219	75	101	and	and	CCONJ
ajst-20219	75	102	c	c	NOUN
ajst-20219	75	103	is	be	AUX
ajst-20219	75	104	the	the	DET
ajst-20219	75	105	target	target	NOUN
ajst-20219	75	106	pixel	pixel	NOUN
ajst-20219	75	107	color	color	NOUN
ajst-20219	75	108	.	.	PUNCT
ajst-20219	76	1	considering	consider	VERB
ajst-20219	76	2	that	that	SCONJ
ajst-20219	76	3	only	only	ADV
ajst-20219	76	4	some	some	DET
ajst-20219	76	5	local	local	ADJ
ajst-20219	76	6	areas	area	NOUN
ajst-20219	76	7	of	of	ADP
ajst-20219	76	8	the	the	DET
ajst-20219	76	9	image	image	NOUN
ajst-20219	76	10	contain	contain	VERB
ajst-20219	76	11	reflections	reflection	NOUN
ajst-20219	76	12	,	,	PUNCT
ajst-20219	76	13	the	the	DET
ajst-20219	76	14	localization	localization	NOUN
ajst-20219	76	15	of	of	ADP
ajst-20219	76	16	reflections	reflection	NOUN
ajst-20219	76	17	is	be	AUX
ajst-20219	76	18	regarded	regard	VERB
ajst-20219	76	19	as	as	ADP
ajst-20219	76	20	an	an	DET
ajst-20219	76	21	anomaly	anomaly	NOUN
ajst-20219	76	22	detection	detection	NOUN
ajst-20219	76	23	problem	problem	NOUN
ajst-20219	76	24	.	.	PUNCT
ajst-20219	77	1	it	it	PRON
ajst-20219	77	2	is	be	AUX
ajst-20219	77	3	expected	expect	VERB
ajst-20219	77	4	to	to	PART
ajst-20219	77	5	identify	identify	VERB
ajst-20219	77	6	the	the	DET
ajst-20219	77	7	reflective	reflective	ADJ
ajst-20219	77	8	surface	surface	NOUN
ajst-20219	77	9	as	as	ADP
ajst-20219	77	10	an	an	DET
ajst-20219	77	11	abnormal	abnormal	ADJ
ajst-20219	77	12	area	area	NOUN
ajst-20219	77	13	and	and	CCONJ
ajst-20219	77	14	assign	assign	VERB
ajst-20219	77	15	a	a	DET
ajst-20219	77	16	high	high	ADJ
ajst-20219	77	17	reflection	reflection	NOUN
ajst-20219	77	18	score	score	NOUN
ajst-20219	77	19	.	.	PUNCT
ajst-20219	78	1	therefore	therefore	ADV
ajst-20219	78	2	,	,	PUNCT
ajst-20219	78	3	an	an	DET
ajst-20219	78	4	anomaly	anomaly	NOUN
ajst-20219	78	5	detector	detector	NOUN
ajst-20219	78	6	with	with	ADP
ajst-20219	78	7	mahalanobis	mahalanobis	ADJ
ajst-20219	78	8	distance	distance	NOUN
ajst-20219	78	9	as	as	SCONJ
ajst-20219	78	10	the	the	DET
ajst-20219	78	11	reflection	reflection	NOUN
ajst-20219	78	12	score	score	NOUN
ajst-20219	78	13	is	be	AUX
ajst-20219	78	14	used	use	VERB
ajst-20219	78	15	to	to	PART
ajst-20219	78	16	estimate	estimate	VERB
ajst-20219	78	17	�	�	PROPN
ajst-20219	78	18	̅	̅	NOUN
ajst-20219	78	19	�	�	NOUN
ajst-20219	78	20	𝑟	𝑟	NOUN
ajst-20219	78	21	:	:	PUNCT
ajst-20219	78	22	�	�	NOUN
ajst-20219	78	23	̅	̅	NOUN
ajst-20219	78	24	�	�	PROPN
ajst-20219	78	25	𝑟	𝑟	NOUN
ajst-20219	78	26	𝛾	𝛾	ADP
ajst-20219	78	27	∑	∑	PUNCT
ajst-20219	78	28	𝐶	𝐶	PROPN
ajst-20219	78	29	𝑟	𝑟	PRON
ajst-20219	78	30	𝐶	𝐶	PROPN
ajst-20219	78	31	𝑟	𝑟	PUNCT
ajst-20219	78	32	𝛴	𝛴	PROPN
ajst-20219	78	33	𝐶	𝐶	PROPN
ajst-20219	78	34	𝑟	𝑟	PRON
ajst-20219	78	35	𝐶	𝐶	PROPN
ajst-20219	78	36	𝑟	𝑟	X
ajst-20219	78	37	(	(	PUNCT
ajst-20219	78	38	3	3	NUM
ajst-20219	78	39	-	-	SYM
ajst-20219	78	40	4	4	NUM
ajst-20219	78	41	)	)	PUNCT
ajst-20219	78	42	where	where	SCONJ
ajst-20219	78	43	γ	γ	PROPN
ajst-20219	78	44	is	be	AUX
ajst-20219	78	45	the	the	DET
ajst-20219	78	46	proportional	proportional	ADJ
ajst-20219	78	47	numerator	numerator	NOUN
ajst-20219	78	48	that	that	PRON
ajst-20219	78	49	controls	control	VERB
ajst-20219	78	50	the	the	DET
ajst-20219	78	51	scale	scale	NOUN
ajst-20219	78	52	of	of	ADP
ajst-20219	78	53	the	the	DET
ajst-20219	78	54	reflection	reflection	NOUN
ajst-20219	78	55	fraction	fraction	NOUN
ajst-20219	78	56	,	,	PUNCT
ajst-20219	78	57	and	and	CCONJ
ajst-20219	78	58	𝛴	𝛴	PROPN
ajst-20219	78	59	is	be	AUX
ajst-20219	78	60	the	the	DET
ajst-20219	78	61	empirical	empirical	ADJ
ajst-20219	78	62	covariance	covariance	NOUN
ajst-20219	78	63	matrix	matrix	NOUN
ajst-20219	78	64	.	.	PUNCT
ajst-20219	79	1	then	then	ADV
ajst-20219	79	2	�	�	PROPN
ajst-20219	79	3	̅	̅	NOUN
ajst-20219	79	4	�	�	NOUN
ajst-20219	79	5	𝑟	𝑟	NOUN
ajst-20219	79	6	is	be	AUX
ajst-20219	79	7	expanded	expand	VERB
ajst-20219	79	8	to	to	ADP
ajst-20219	79	9	the	the	DET
ajst-20219	79	10	original	original	ADJ
ajst-20219	79	11	color	color	NOUN
ajst-20219	79	12	loss	loss	NOUN
ajst-20219	79	13	𝐿	𝐿	PROPN
ajst-20219	79	14	,	,	PUNCT
ajst-20219	79	15	so	so	SCONJ
ajst-20219	79	16	that	that	SCONJ
ajst-20219	79	17	it	it	PRON
ajst-20219	79	18	can	can	AUX
ajst-20219	79	19	perceive	perceive	VERB
ajst-20219	79	20	the	the	DET
ajst-20219	79	21	reflection	reflection	NOUN
ajst-20219	79	22	area	area	NOUN
ajst-20219	79	23	,	,	PUNCT
ajst-20219	79	24	using	use	VERB
ajst-20219	79	25	a	a	DET
ajst-20219	79	26	method	method	NOUN
ajst-20219	79	27	similar	similar	ADJ
ajst-20219	79	28	to	to	ADP
ajst-20219	79	29	that	that	PRON
ajst-20219	79	30	in	in	ADP
ajst-20219	79	31	nerf	nerf	NOUN
ajst-20219	79	32	-	-	PUNCT
ajst-20219	79	33	w	w	NOUN
ajst-20219	79	34	:	:	PUNCT
ajst-20219	79	35	𝐿	𝐿	NOUN
ajst-20219	79	36	∑	∑	PROPN
ajst-20219	79	37	ǁ	ǁ	X
ajst-20219	79	38	̅	̅	X
ajst-20219	79	39	ǁ	ǁ	X
ajst-20219	79	40	∈	∈	X
ajst-20219	79	41	(	(	PUNCT
ajst-20219	79	42	3	3	NUM
ajst-20219	79	43	-	-	SYM
ajst-20219	79	44	5	5	NUM
ajst-20219	79	45	)	)	PUNCT
ajst-20219	79	46	r	r	NOUN
ajst-20219	79	47	is	be	AUX
ajst-20219	79	48	the	the	DET
ajst-20219	79	49	number	number	NOUN
ajst-20219	79	50	of	of	ADP
ajst-20219	79	51	rays	ray	NOUN
ajst-20219	79	52	in	in	ADP
ajst-20219	79	53	the	the	DET
ajst-20219	79	54	batch	batch	NOUN
ajst-20219	79	55	.	.	PUNCT
ajst-20219	80	1	since	since	SCONJ
ajst-20219	80	2	�	�	PROPN
ajst-20219	80	3	̅	̅	NOUN
ajst-20219	80	4	�	�	NOUN
ajst-20219	80	5	𝑟	𝑟	NOUN
ajst-20219	80	6	is	be	AUX
ajst-20219	80	7	estimated	estimate	VERB
ajst-20219	80	8	by	by	ADP
ajst-20219	80	9	equation	equation	NOUN
ajst-20219	80	10	4	4	NUM
ajst-20219	80	11	-	-	SYM
ajst-20219	80	12	4	4	NUM
ajst-20219	80	13	,	,	PUNCT
ajst-20219	80	14	for	for	ADP
ajst-20219	80	15	any	any	DET
ajst-20219	80	16	certain	certain	ADJ
ajst-20219	80	17	point	point	NOUN
ajst-20219	80	18	,	,	PUNCT
ajst-20219	80	19	�	�	NOUN
ajst-20219	80	20	̅	̅	NOUN
ajst-20219	80	21	�	�	NOUN
ajst-20219	80	22	𝑟	𝑟	NOUN
ajst-20219	80	23	is	be	AUX
ajst-20219	80	24	a	a	DET
ajst-20219	80	25	constant	constant	ADJ
ajst-20219	80	26	and	and	CCONJ
ajst-20219	80	27	can	can	AUX
ajst-20219	80	28	be	be	AUX
ajst-20219	80	29	deleted	delete	VERB
ajst-20219	80	30	from	from	ADP
ajst-20219	80	31	the	the	DET
ajst-20219	80	32	loss	loss	NOUN
ajst-20219	80	33	function	function	NOUN
ajst-20219	80	34	,	,	PUNCT
ajst-20219	80	35	and	and	CCONJ
ajst-20219	80	36	l1	l1	PROPN
ajst-20219	80	37	loss	loss	NOUN
ajst-20219	80	38	can	can	AUX
ajst-20219	80	39	be	be	AUX
ajst-20219	80	40	used	use	VERB
ajst-20219	80	41	instead	instead	ADV
ajst-20219	80	42	of	of	ADP
ajst-20219	80	43	l2	l2	NOUN
ajst-20219	80	44	loss	loss	NOUN
ajst-20219	80	45	,	,	PUNCT
ajst-20219	80	46	so	so	SCONJ
ajst-20219	80	47	the	the	DET
ajst-20219	80	48	loss	loss	NOUN
ajst-20219	80	49	function	function	NOUN
ajst-20219	80	50	can	can	AUX
ajst-20219	80	51	be	be	AUX
ajst-20219	80	52	simplified	simplify	VERB
ajst-20219	80	53	to	to	ADP
ajst-20219	80	54	𝐿	𝐿	PROPN
ajst-20219	80	55	∑	∑	PROPN
ajst-20219	80	56	|	|	ADV
ajst-20219	80	57	̅	̅	VERB
ajst-20219	80	58	|	|	ADV
ajst-20219	80	59	∈	∈	NOUN
ajst-20219	80	60	(	(	PUNCT
ajst-20219	80	61	3	3	NUM
ajst-20219	80	62	-	-	SYM
ajst-20219	80	63	6	6	NUM
ajst-20219	80	64	)	)	PUNCT
ajst-20219	80	65	3.2	3.2	NUM
ajst-20219	80	66	.	.	PUNCT
ajst-20219	81	1	brdf	brdf	NOUN
ajst-20219	81	2	estimation	estimation	NOUN
ajst-20219	81	3	when	when	SCONJ
ajst-20219	81	4	calculating	calculate	VERB
ajst-20219	81	5	lighting	lighting	NOUN
ajst-20219	81	6	effects	effect	NOUN
ajst-20219	81	7	,	,	PUNCT
ajst-20219	81	8	the	the	DET
ajst-20219	81	9	material	material	ADJ
ajst-20219	81	10	information	information	NOUN
ajst-20219	81	11	of	of	ADP
ajst-20219	81	12	the	the	DET
ajst-20219	81	13	surface	surface	NOUN
ajst-20219	81	14	is	be	AUX
ajst-20219	81	15	an	an	DET
ajst-20219	81	16	important	important	ADJ
ajst-20219	81	17	calculation	calculation	NOUN
ajst-20219	81	18	parameter	parameter	NOUN
ajst-20219	81	19	.	.	PUNCT
ajst-20219	82	1	after	after	ADP
ajst-20219	82	2	the	the	DET
ajst-20219	82	3	first	first	ADJ
ajst-20219	82	4	stage	stage	NOUN
ajst-20219	82	5	of	of	ADP
ajst-20219	82	6	geometric	geometric	ADJ
ajst-20219	82	7	reconstruction	reconstruction	NOUN
ajst-20219	82	8	,	,	PUNCT
ajst-20219	82	9	a	a	DET
ajst-20219	82	10	relatively	relatively	ADV
ajst-20219	82	11	accurate	accurate	ADJ
ajst-20219	82	12	geometric	geometric	ADJ
ajst-20219	82	13	shape	shape	NOUN
ajst-20219	82	14	of	of	ADP
ajst-20219	82	15	the	the	DET
ajst-20219	82	16	reflective	reflective	ADJ
ajst-20219	82	17	object	object	NOUN
ajst-20219	82	18	can	can	AUX
ajst-20219	82	19	be	be	AUX
ajst-20219	82	20	obtained	obtain	VERB
ajst-20219	82	21	.	.	PUNCT
ajst-20219	83	1	in	in	ADP
ajst-20219	83	2	the	the	DET
ajst-20219	83	3	second	second	ADJ
ajst-20219	83	4	stage	stage	NOUN
ajst-20219	83	5	,	,	PUNCT
ajst-20219	83	6	it	it	PRON
ajst-20219	83	7	is	be	AUX
ajst-20219	83	8	necessary	necessary	ADJ
ajst-20219	83	9	to	to	PART
ajst-20219	83	10	reconstruct	reconstruct	VERB
ajst-20219	83	11	the	the	DET
ajst-20219	83	12	material	material	ADJ
ajst-20219	83	13	information	information	NOUN
ajst-20219	83	14	of	of	ADP
ajst-20219	83	15	the	the	DET
ajst-20219	83	16	surface	surface	NOUN
ajst-20219	83	17	of	of	ADP
ajst-20219	83	18	the	the	DET
ajst-20219	83	19	reflective	reflective	ADJ
ajst-20219	83	20	object	object	NOUN
ajst-20219	83	21	based	base	VERB
ajst-20219	83	22	on	on	ADP
ajst-20219	83	23	the	the	DET
ajst-20219	83	24	accurate	accurate	ADJ
ajst-20219	83	25	geometric	geometric	ADJ
ajst-20219	83	26	shape	shape	NOUN
ajst-20219	83	27	obtained	obtain	VERB
ajst-20219	83	28	in	in	ADP
ajst-20219	83	29	the	the	DET
ajst-20219	83	30	first	first	ADJ
ajst-20219	83	31	stage	stage	NOUN
ajst-20219	83	32	,	,	PUNCT
ajst-20219	83	33	that	that	ADV
ajst-20219	83	34	is	is	ADV
ajst-20219	83	35	,	,	PUNCT
ajst-20219	83	36	metalness	metalness	NOUN
ajst-20219	83	37	,	,	PUNCT
ajst-20219	83	38	albedo	albedo	NOUN
ajst-20219	83	39	and	and	CCONJ
ajst-20219	83	40	roughness	roughness	NOUN
ajst-20219	83	41	.	.	PUNCT
ajst-20219	84	1	at	at	ADP
ajst-20219	84	2	this	this	DET
ajst-20219	84	3	stage	stage	NOUN
ajst-20219	84	4	,	,	PUNCT
ajst-20219	84	5	the	the	DET
ajst-20219	84	6	geometric	geometric	ADJ
ajst-20219	84	7	shape	shape	NOUN
ajst-20219	84	8	reconstructed	reconstruct	VERB
ajst-20219	84	9	in	in	ADP
ajst-20219	84	10	the	the	DET
ajst-20219	84	11	first	first	ADJ
ajst-20219	84	12	stage	stage	NOUN
ajst-20219	84	13	will	will	AUX
ajst-20219	84	14	be	be	AUX
ajst-20219	84	15	directly	directly	ADV
ajst-20219	84	16	used	use	VERB
ajst-20219	84	17	to	to	PART
ajst-20219	84	18	predict	predict	VERB
ajst-20219	84	19	the	the	DET
ajst-20219	84	20	material	material	ADJ
ajst-20219	84	21	information	information	NOUN
ajst-20219	84	22	of	of	ADP
ajst-20219	84	23	the	the	DET
ajst-20219	84	24	reconstructed	reconstruct	VERB
ajst-20219	84	25	object	object	NOUN
ajst-20219	84	26	surface	surface	NOUN
ajst-20219	84	27	.	.	PUNCT
ajst-20219	85	1	in	in	ADP
ajst-20219	85	2	this	this	DET
ajst-20219	85	3	module	module	NOUN
ajst-20219	85	4	,	,	PUNCT
ajst-20219	85	5	u	u	NOUN
ajst-20219	85	6	-	-	NOUN
ajst-20219	85	7	net	net	NOUN
ajst-20219	85	8	is	be	AUX
ajst-20219	85	9	used	use	VERB
ajst-20219	85	10	as	as	ADP
ajst-20219	85	11	the	the	DET
ajst-20219	85	12	main	main	ADJ
ajst-20219	85	13	network	network	NOUN
ajst-20219	85	14	of	of	ADP
ajst-20219	85	15	the	the	DET
ajst-20219	85	16	material	material	NOUN
ajst-20219	85	17	estimation	estimation	NOUN
ajst-20219	85	18	network	network	NOUN
ajst-20219	85	19	,	,	PUNCT
ajst-20219	85	20	and	and	CCONJ
ajst-20219	85	21	a	a	DET
ajst-20219	85	22	differentiable	differentiable	ADJ
ajst-20219	85	23	renderer	renderer	NOUN
ajst-20219	85	24	is	be	AUX
ajst-20219	85	25	used	use	VERB
ajst-20219	85	26	to	to	PART
ajst-20219	85	27	render	render	VERB
ajst-20219	85	28	the	the	DET
ajst-20219	85	29	material	material	ADJ
ajst-20219	85	30	information	information	NOUN
ajst-20219	85	31	output	output	NOUN
ajst-20219	85	32	by	by	ADP
ajst-20219	85	33	the	the	DET
ajst-20219	85	34	material	material	NOUN
ajst-20219	85	35	estimation	estimation	NOUN
ajst-20219	85	36	network	network	NOUN
ajst-20219	85	37	and	and	CCONJ
ajst-20219	85	38	the	the	DET
ajst-20219	85	39	first	first	ADJ
ajst-20219	85	40	-	-	PUNCT
ajst-20219	85	41	stage	stage	NOUN
ajst-20219	85	42	geometric	geometric	ADJ
ajst-20219	85	43	information	information	NOUN
ajst-20219	85	44	into	into	ADP
ajst-20219	85	45	corresponding	corresponding	ADJ
ajst-20219	85	46	images	image	NOUN
ajst-20219	85	47	.	.	PUNCT
ajst-20219	86	1	a	a	DET
ajst-20219	86	2	differentiable	differentiable	ADJ
ajst-20219	86	3	renderer	renderer	NOUN
ajst-20219	86	4	is	be	AUX
ajst-20219	86	5	a	a	DET
ajst-20219	86	6	special	special	ADJ
ajst-20219	86	7	type	type	NOUN
ajst-20219	86	8	of	of	ADP
ajst-20219	86	9	renderer	renderer	NOUN
ajst-20219	86	10	that	that	PRON
ajst-20219	86	11	uses	use	VERB
ajst-20219	86	12	a	a	DET
ajst-20219	86	13	differentiable	differentiable	ADJ
ajst-20219	86	14	rendering	rendering	NOUN
ajst-20219	86	15	function	function	NOUN
ajst-20219	86	16	.	.	PUNCT
ajst-20219	87	1	it	it	PRON
ajst-20219	87	2	can	can	AUX
ajst-20219	87	3	not	not	PART
ajst-20219	87	4	only	only	ADV
ajst-20219	87	5	input	input	VERB
ajst-20219	87	6	various	various	ADJ
ajst-20219	87	7	scene	scene	NOUN
ajst-20219	87	8	parameter	parameter	NOUN
ajst-20219	87	9	information	information	NOUN
ajst-20219	87	10	(	(	PUNCT
ajst-20219	87	11	including	include	VERB
ajst-20219	87	12	material	material	NOUN
ajst-20219	87	13	information	information	NOUN
ajst-20219	87	14	and	and	CCONJ
ajst-20219	87	15	geometric	geometric	ADJ
ajst-20219	87	16	information	information	NOUN
ajst-20219	87	17	,	,	PUNCT
ajst-20219	87	18	etc	etc	X
ajst-20219	87	19	.	.	X
ajst-20219	87	20	)	)	PUNCT
ajst-20219	87	21	to	to	PART
ajst-20219	87	22	obtain	obtain	VERB
ajst-20219	87	23	a	a	DET
ajst-20219	87	24	two	two	NUM
ajst-20219	87	25	-	-	PUNCT
ajst-20219	87	26	dimensional	dimensional	ADJ
ajst-20219	87	27	image	image	NOUN
ajst-20219	87	28	,	,	PUNCT
ajst-20219	87	29	but	but	CCONJ
ajst-20219	87	30	also	also	ADV
ajst-20219	87	31	the	the	DET
ajst-20219	87	32	derivatives	derivative	NOUN
ajst-20219	87	33	of	of	ADP
ajst-20219	87	34	this	this	DET
ajst-20219	87	35	function	function	NOUN
ajst-20219	87	36	for	for	ADP
ajst-20219	87	37	different	different	ADJ
ajst-20219	87	38	scene	scene	NOUN
ajst-20219	87	39	parameters	parameter	NOUN
ajst-20219	87	40	can	can	AUX
ajst-20219	87	41	be	be	AUX
ajst-20219	87	42	calculated	calculate	VERB
ajst-20219	87	43	.	.	PUNCT
ajst-20219	88	1	figure	figure	VERB
ajst-20219	88	2	3	3	NUM
ajst-20219	88	3	-	-	SYM
ajst-20219	88	4	2	2	NUM
ajst-20219	88	5	.	.	PUNCT
ajst-20219	89	1	the	the	DET
ajst-20219	89	2	framework	framework	NOUN
ajst-20219	89	3	of	of	ADP
ajst-20219	89	4	brdf	brdf	NOUN
ajst-20219	89	5	estimation	estimation	NOUN
ajst-20219	89	6	204	204	NUM
ajst-20219	89	7	after	after	ADP
ajst-20219	89	8	obtaining	obtain	VERB
ajst-20219	89	9	the	the	DET
ajst-20219	89	10	corresponding	corresponding	ADJ
ajst-20219	89	11	rendered	render	VERB
ajst-20219	89	12	image	image	NOUN
ajst-20219	89	13	,	,	PUNCT
ajst-20219	89	14	the	the	DET
ajst-20219	89	15	difference	difference	NOUN
ajst-20219	89	16	between	between	ADP
ajst-20219	89	17	the	the	DET
ajst-20219	89	18	rendered	render	VERB
ajst-20219	89	19	image	image	NOUN
ajst-20219	89	20	and	and	CCONJ
ajst-20219	89	21	the	the	DET
ajst-20219	89	22	original	original	ADJ
ajst-20219	89	23	image	image	NOUN
ajst-20219	89	24	is	be	AUX
ajst-20219	89	25	calculated	calculate	VERB
ajst-20219	89	26	,	,	PUNCT
ajst-20219	89	27	and	and	CCONJ
ajst-20219	89	28	the	the	DET
ajst-20219	89	29	loss	loss	NOUN
ajst-20219	89	30	is	be	AUX
ajst-20219	89	31	passed	pass	VERB
ajst-20219	89	32	to	to	ADP
ajst-20219	89	33	the	the	DET
ajst-20219	89	34	material	material	NOUN
ajst-20219	89	35	estimation	estimation	NOUN
ajst-20219	89	36	network	network	NOUN
ajst-20219	89	37	in	in	ADP
ajst-20219	89	38	the	the	DET
ajst-20219	89	39	form	form	NOUN
ajst-20219	89	40	of	of	ADP
ajst-20219	89	41	back	back	ADJ
ajst-20219	89	42	propagation	propagation	NOUN
ajst-20219	89	43	to	to	PART
ajst-20219	89	44	optimize	optimize	VERB
ajst-20219	89	45	network	network	NOUN
ajst-20219	89	46	parameters	parameter	NOUN
ajst-20219	89	47	.	.	PUNCT
ajst-20219	90	1	4	4	X
ajst-20219	90	2	.	.	X
ajst-20219	90	3	experiments	experiment	NOUN
ajst-20219	90	4	4.1	4.1	NUM
ajst-20219	90	5	.	.	PUNCT
ajst-20219	91	1	dataset	dataset	VERB
ajst-20219	91	2	the	the	DET
ajst-20219	91	3	dataset	dataset	NOUN
ajst-20219	91	4	used	use	VERB
ajst-20219	91	5	is	be	AUX
ajst-20219	91	6	the	the	DET
ajst-20219	91	7	glossy	glossy	ADJ
ajst-20219	91	8	-	-	PUNCT
ajst-20219	91	9	real	real	ADJ
ajst-20219	91	10	dataset	dataset	NOUN
ajst-20219	91	11	used	use	VERB
ajst-20219	91	12	in	in	ADP
ajst-20219	91	13	nero	nero	PROPN
ajst-20219	91	14	.	.	PUNCT
ajst-20219	92	1	this	this	PRON
ajst-20219	92	2	is	be	AUX
ajst-20219	92	3	a	a	DET
ajst-20219	92	4	real	real	ADJ
ajst-20219	92	5	dataset	dataset	NOUN
ajst-20219	92	6	that	that	PRON
ajst-20219	92	7	contains	contain	VERB
ajst-20219	92	8	five	five	NUM
ajst-20219	92	9	objects	object	NOUN
ajst-20219	92	10	(	(	PUNCT
ajst-20219	92	11	coral	coral	ADJ
ajst-20219	92	12	,	,	PUNCT
ajst-20219	92	13	lucky	lucky	ADJ
ajst-20219	92	14	cat	cat	NOUN
ajst-20219	92	15	,	,	PUNCT
ajst-20219	92	16	bear	bear	NOUN
ajst-20219	92	17	,	,	PUNCT
ajst-20219	92	18	rabbit	rabbit	NOUN
ajst-20219	92	19	and	and	CCONJ
ajst-20219	92	20	vase	vase	NOUN
ajst-20219	92	21	)	)	PUNCT
ajst-20219	92	22	.	.	PUNCT
ajst-20219	93	1	the	the	DET
ajst-20219	93	2	surface	surface	NOUN
ajst-20219	93	3	of	of	ADP
ajst-20219	93	4	each	each	DET
ajst-20219	93	5	reconstructed	reconstruct	VERB
ajst-20219	93	6	object	object	NOUN
ajst-20219	93	7	has	have	VERB
ajst-20219	93	8	smooth	smooth	ADJ
ajst-20219	93	9	surface	surface	NOUN
ajst-20219	93	10	with	with	ADP
ajst-20219	93	11	strong	strong	ADJ
ajst-20219	93	12	specular	specular	ADJ
ajst-20219	93	13	reflection	reflection	NOUN
ajst-20219	93	14	effect	effect	NOUN
ajst-20219	93	15	.	.	PUNCT
ajst-20219	94	1	the	the	DET
ajst-20219	94	2	multi	multi	ADJ
ajst-20219	94	3	-	-	ADJ
ajst-20219	94	4	view	view	ADJ
ajst-20219	94	5	image	image	NOUN
ajst-20219	94	6	set	set	NOUN
ajst-20219	94	7	of	of	ADP
ajst-20219	94	8	each	each	DET
ajst-20219	94	9	reconstructed	reconstruct	VERB
ajst-20219	94	10	object	object	NOUN
ajst-20219	94	11	consists	consist	VERB
ajst-20219	94	12	of	of	ADP
ajst-20219	94	13	100	100	NUM
ajst-20219	94	14	-	-	SYM
ajst-20219	94	15	130	130	NUM
ajst-20219	94	16	images	image	NOUN
ajst-20219	94	17	with	with	ADP
ajst-20219	94	18	a	a	DET
ajst-20219	94	19	resolution	resolution	NOUN
ajst-20219	94	20	of	of	ADP
ajst-20219	94	21	1024×768	1024×768	NUM
ajst-20219	94	22	,	,	PUNCT
ajst-20219	94	23	and	and	CCONJ
ajst-20219	94	24	colmap	colmap	NOUN
ajst-20219	94	25	is	be	AUX
ajst-20219	94	26	used	use	VERB
ajst-20219	94	27	to	to	PART
ajst-20219	94	28	reconstruct	reconstruct	VERB
ajst-20219	94	29	the	the	DET
ajst-20219	94	30	camera	camera	NOUN
ajst-20219	94	31	pose	pose	NOUN
ajst-20219	94	32	of	of	ADP
ajst-20219	94	33	the	the	DET
ajst-20219	94	34	captured	capture	VERB
ajst-20219	94	35	image	image	NOUN
ajst-20219	94	36	.	.	PUNCT
ajst-20219	95	1	in	in	ADP
ajst-20219	95	2	order	order	NOUN
ajst-20219	95	3	to	to	PART
ajst-20219	95	4	more	more	ADV
ajst-20219	95	5	accurately	accurately	ADV
ajst-20219	95	6	locate	locate	VERB
ajst-20219	95	7	the	the	DET
ajst-20219	95	8	corresponding	corresponding	ADJ
ajst-20219	95	9	camera	camera	NOUN
ajst-20219	95	10	posture	posture	NOUN
ajst-20219	95	11	of	of	ADP
ajst-20219	95	12	the	the	DET
ajst-20219	95	13	captured	capture	VERB
ajst-20219	95	14	image	image	NOUN
ajst-20219	95	15	,	,	PUNCT
ajst-20219	95	16	all	all	DET
ajst-20219	95	17	reconstruction	reconstruction	NOUN
ajst-20219	95	18	objects	object	NOUN
ajst-20219	95	19	are	be	AUX
ajst-20219	95	20	placed	place	VERB
ajst-20219	95	21	on	on	ADP
ajst-20219	95	22	a	a	DET
ajst-20219	95	23	calibration	calibration	NOUN
ajst-20219	95	24	plate	plate	NOUN
ajst-20219	95	25	with	with	ADP
ajst-20219	95	26	strong	strong	ADJ
ajst-20219	95	27	texture	texture	NOUN
ajst-20219	95	28	,	,	PUNCT
ajst-20219	95	29	and	and	CCONJ
ajst-20219	95	30	all	all	DET
ajst-20219	95	31	images	image	NOUN
ajst-20219	95	32	are	be	AUX
ajst-20219	95	33	captured	capture	VERB
ajst-20219	95	34	with	with	ADP
ajst-20219	95	35	mobile	mobile	ADJ
ajst-20219	95	36	phones	phone	NOUN
ajst-20219	95	37	.	.	PUNCT
ajst-20219	96	1	the	the	DET
ajst-20219	96	2	real	real	ADJ
ajst-20219	96	3	surface	surface	NOUN
ajst-20219	96	4	data	datum	NOUN
ajst-20219	96	5	of	of	ADP
ajst-20219	96	6	the	the	DET
ajst-20219	96	7	reconstructed	reconstructed	ADJ
ajst-20219	96	8	object	object	NOUN
ajst-20219	96	9	is	be	AUX
ajst-20219	96	10	captured	capture	VERB
ajst-20219	96	11	by	by	ADP
ajst-20219	96	12	the	the	DET
ajst-20219	96	13	rgbd	rgbd	NOUN
ajst-20219	96	14	sensor	sensor	NOUN
ajst-20219	96	15	einscan	einscan	X
ajst-20219	96	16	pro	pro	X
ajst-20219	96	17	2x	2x	NUM
ajst-20219	96	18	.	.	PUNCT
ajst-20219	97	1	in	in	ADP
ajst-20219	97	2	this	this	DET
ajst-20219	97	3	article	article	NOUN
ajst-20219	97	4	,	,	PUNCT
ajst-20219	97	5	corals	coral	NOUN
ajst-20219	97	6	,	,	PUNCT
ajst-20219	97	7	rabbits	rabbit	NOUN
ajst-20219	97	8	and	and	CCONJ
ajst-20219	97	9	bears	bear	NOUN
ajst-20219	97	10	are	be	AUX
ajst-20219	97	11	selected	select	VERB
ajst-20219	97	12	as	as	ADP
ajst-20219	97	13	reconstruction	reconstruction	NOUN
ajst-20219	97	14	objects	object	NOUN
ajst-20219	97	15	.	.	PUNCT
ajst-20219	98	1	the	the	DET
ajst-20219	98	2	schematic	schematic	ADJ
ajst-20219	98	3	diagram	diagram	NOUN
ajst-20219	98	4	of	of	ADP
ajst-20219	98	5	the	the	DET
ajst-20219	98	6	selected	select	VERB
ajst-20219	98	7	data	data	NOUN
ajst-20219	98	8	sets	set	NOUN
ajst-20219	98	9	is	be	AUX
ajst-20219	98	10	shown	show	VERB
ajst-20219	98	11	in	in	ADP
ajst-20219	98	12	figure	figure	NOUN
ajst-20219	98	13	4	4	NUM
ajst-20219	98	14	-	-	SYM
ajst-20219	98	15	1	1	NUM
ajst-20219	98	16	.	.	PUNCT
ajst-20219	98	17	figure	figure	VERB
ajst-20219	98	18	4	4	NUM
ajst-20219	98	19	-	-	SYM
ajst-20219	98	20	1	1	NUM
ajst-20219	98	21	.	.	PUNCT
ajst-20219	98	22	glossy	glossy	ADJ
ajst-20219	98	23	-	-	PUNCT
ajst-20219	98	24	real	real	NOUN
ajst-20219	98	25	dataset	dataset	NOUN
ajst-20219	98	26	4.2	4.2	NUM
ajst-20219	98	27	.	.	PUNCT
ajst-20219	99	1	geometry	geometry	NOUN
ajst-20219	99	2	reconstruction	reconstruction	NOUN
ajst-20219	99	3	result	result	NOUN
ajst-20219	99	4	as	as	SCONJ
ajst-20219	99	5	shown	show	VERB
ajst-20219	99	6	in	in	ADP
ajst-20219	99	7	figure	figure	NOUN
ajst-20219	99	8	4	4	NUM
ajst-20219	99	9	-	-	SYM
ajst-20219	99	10	2	2	NUM
ajst-20219	99	11	,	,	PUNCT
ajst-20219	99	12	the	the	DET
ajst-20219	99	13	experimental	experimental	ADJ
ajst-20219	99	14	results	result	NOUN
ajst-20219	99	15	of	of	ADP
ajst-20219	99	16	the	the	DET
ajst-20219	99	17	first	first	ADJ
ajst-20219	99	18	stage	stage	NOUN
ajst-20219	99	19	of	of	ADP
ajst-20219	99	20	geometric	geometric	ADJ
ajst-20219	99	21	surface	surface	NOUN
ajst-20219	99	22	reconstruction	reconstruction	NOUN
ajst-20219	99	23	are	be	AUX
ajst-20219	99	24	shown	show	VERB
ajst-20219	99	25	.	.	PUNCT
ajst-20219	100	1	in	in	ADP
ajst-20219	100	2	the	the	DET
ajst-20219	100	3	first	first	ADJ
ajst-20219	100	4	column	column	NOUN
ajst-20219	100	5	,	,	PUNCT
ajst-20219	100	6	the	the	DET
ajst-20219	100	7	input	input	NOUN
ajst-20219	100	8	reference	reference	NOUN
ajst-20219	100	9	images	image	NOUN
ajst-20219	100	10	are	be	AUX
ajst-20219	100	11	shown	show	VERB
ajst-20219	100	12	,	,	PUNCT
ajst-20219	100	13	which	which	PRON
ajst-20219	100	14	provide	provide	VERB
ajst-20219	100	15	the	the	DET
ajst-20219	100	16	basic	basic	ADJ
ajst-20219	100	17	data	datum	NOUN
ajst-20219	100	18	for	for	ADP
ajst-20219	100	19	the	the	DET
ajst-20219	100	20	subsequent	subsequent	ADJ
ajst-20219	100	21	reconstruction	reconstruction	NOUN
ajst-20219	100	22	process	process	NOUN
ajst-20219	100	23	.	.	PUNCT
ajst-20219	101	1	the	the	DET
ajst-20219	101	2	second	second	ADJ
ajst-20219	101	3	column	column	NOUN
ajst-20219	101	4	shows	show	VERB
ajst-20219	101	5	the	the	DET
ajst-20219	101	6	target	target	NOUN
ajst-20219	101	7	image	image	NOUN
ajst-20219	101	8	rendered	render	VERB
ajst-20219	101	9	by	by	ADP
ajst-20219	101	10	the	the	DET
ajst-20219	101	11	model	model	NOUN
ajst-20219	101	12	.	.	PUNCT
ajst-20219	102	1	this	this	DET
ajst-20219	102	2	process	process	NOUN
ajst-20219	102	3	aims	aim	VERB
ajst-20219	102	4	to	to	PART
ajst-20219	102	5	enable	enable	VERB
ajst-20219	102	6	the	the	DET
ajst-20219	102	7	model	model	NOUN
ajst-20219	102	8	to	to	PART
ajst-20219	102	9	effectively	effectively	ADV
ajst-20219	102	10	learn	learn	VERB
ajst-20219	102	11	the	the	DET
ajst-20219	102	12	three	three	NUM
ajst-20219	102	13	-	-	PUNCT
ajst-20219	102	14	dimensional	dimensional	ADJ
ajst-20219	102	15	shape	shape	NOUN
ajst-20219	102	16	of	of	ADP
ajst-20219	102	17	the	the	DET
ajst-20219	102	18	reconstructed	reconstructed	ADJ
ajst-20219	102	19	object	object	NOUN
ajst-20219	102	20	contained	contain	VERB
ajst-20219	102	21	in	in	ADP
ajst-20219	102	22	the	the	DET
ajst-20219	102	23	multi	multi	ADJ
ajst-20219	102	24	-	-	ADJ
ajst-20219	102	25	view	view	ADJ
ajst-20219	102	26	image	image	NOUN
ajst-20219	102	27	by	by	ADP
ajst-20219	102	28	reducing	reduce	VERB
ajst-20219	102	29	the	the	DET
ajst-20219	102	30	difference	difference	NOUN
ajst-20219	102	31	between	between	ADP
ajst-20219	102	32	the	the	DET
ajst-20219	102	33	rendered	render	VERB
ajst-20219	102	34	image	image	NOUN
ajst-20219	102	35	and	and	CCONJ
ajst-20219	102	36	the	the	DET
ajst-20219	102	37	original	original	ADJ
ajst-20219	102	38	image	image	NOUN
ajst-20219	102	39	.	.	PUNCT
ajst-20219	103	1	information	information	NOUN
ajst-20219	103	2	.	.	PUNCT
ajst-20219	104	1	in	in	ADP
ajst-20219	104	2	the	the	DET
ajst-20219	104	3	third	third	ADJ
ajst-20219	104	4	column	column	NOUN
ajst-20219	104	5	,	,	PUNCT
ajst-20219	104	6	the	the	DET
ajst-20219	104	7	estimated	estimate	VERB
ajst-20219	104	8	depth	depth	NOUN
ajst-20219	104	9	map	map	NOUN
ajst-20219	104	10	of	of	ADP
ajst-20219	104	11	the	the	DET
ajst-20219	104	12	reconstructed	reconstructed	ADJ
ajst-20219	104	13	object	object	NOUN
ajst-20219	104	14	is	be	AUX
ajst-20219	104	15	shown	show	VERB
ajst-20219	104	16	,	,	PUNCT
ajst-20219	104	17	which	which	PRON
ajst-20219	104	18	intuitively	intuitively	ADV
ajst-20219	104	19	reflects	reflect	VERB
ajst-20219	104	20	the	the	DET
ajst-20219	104	21	depth	depth	NOUN
ajst-20219	104	22	change	change	NOUN
ajst-20219	104	23	of	of	ADP
ajst-20219	104	24	the	the	DET
ajst-20219	104	25	object	object	NOUN
ajst-20219	104	26	surface	surface	NOUN
ajst-20219	104	27	.	.	PUNCT
ajst-20219	105	1	finally	finally	ADV
ajst-20219	105	2	,	,	PUNCT
ajst-20219	105	3	in	in	ADP
ajst-20219	105	4	the	the	DET
ajst-20219	105	5	fourth	fourth	ADJ
ajst-20219	105	6	column	column	NOUN
ajst-20219	105	7	,	,	PUNCT
ajst-20219	105	8	the	the	DET
ajst-20219	105	9	reconstructed	reconstructed	ADJ
ajst-20219	105	10	geometric	geometric	ADJ
ajst-20219	105	11	model	model	NOUN
ajst-20219	105	12	based	base	VERB
ajst-20219	105	13	on	on	ADP
ajst-20219	105	14	the	the	DET
ajst-20219	105	15	above	above	ADJ
ajst-20219	105	16	process	process	NOUN
ajst-20219	105	17	is	be	AUX
ajst-20219	105	18	shown	show	VERB
ajst-20219	105	19	.	.	PUNCT
ajst-20219	106	1	by	by	ADP
ajst-20219	106	2	comparing	compare	VERB
ajst-20219	106	3	and	and	CCONJ
ajst-20219	106	4	analyzing	analyze	VERB
ajst-20219	106	5	these	these	DET
ajst-20219	106	6	results	result	NOUN
ajst-20219	106	7	,	,	PUNCT
ajst-20219	106	8	it	it	PRON
ajst-20219	106	9	can	can	AUX
ajst-20219	106	10	be	be	AUX
ajst-20219	106	11	clearly	clearly	ADV
ajst-20219	106	12	seen	see	VERB
ajst-20219	106	13	that	that	SCONJ
ajst-20219	106	14	the	the	DET
ajst-20219	106	15	improved	improved	ADJ
ajst-20219	106	16	method	method	NOUN
ajst-20219	106	17	can	can	AUX
ajst-20219	106	18	more	more	ADV
ajst-20219	106	19	completely	completely	ADV
ajst-20219	106	20	reconstruct	reconstruct	VERB
ajst-20219	106	21	the	the	DET
ajst-20219	106	22	geometric	geometric	ADJ
ajst-20219	106	23	information	information	NOUN
ajst-20219	106	24	of	of	ADP
ajst-20219	106	25	the	the	DET
ajst-20219	106	26	reconstructed	reconstructed	ADJ
ajst-20219	106	27	object	object	NOUN
ajst-20219	106	28	,	,	PUNCT
ajst-20219	106	29	thus	thus	ADV
ajst-20219	106	30	verifying	verify	VERB
ajst-20219	106	31	the	the	DET
ajst-20219	106	32	effectiveness	effectiveness	NOUN
ajst-20219	106	33	of	of	ADP
ajst-20219	106	34	the	the	DET
ajst-20219	106	35	method	method	NOUN
ajst-20219	106	36	.	.	PUNCT
ajst-20219	107	1	figure	figure	VERB
ajst-20219	107	2	4	4	NUM
ajst-20219	107	3	-	-	SYM
ajst-20219	107	4	2	2	NUM
ajst-20219	107	5	.	.	PUNCT
ajst-20219	107	6	geometry	geometry	NOUN
ajst-20219	107	7	reconstruction	reconstruction	NOUN
ajst-20219	107	8	result	result	VERB
ajst-20219	107	9	205	205	NUM
ajst-20219	107	10	4.3	4.3	NUM
ajst-20219	107	11	.	.	PUNCT
ajst-20219	108	1	brdf	brdf	NOUN
ajst-20219	108	2	estimation	estimation	NOUN
ajst-20219	108	3	result	result	NOUN
ajst-20219	108	4	as	as	SCONJ
ajst-20219	108	5	shown	show	VERB
ajst-20219	108	6	in	in	ADP
ajst-20219	108	7	figure	figure	NOUN
ajst-20219	108	8	4	4	NUM
ajst-20219	108	9	-	-	SYM
ajst-20219	108	10	3	3	NUM
ajst-20219	108	11	,	,	PUNCT
ajst-20219	108	12	the	the	DET
ajst-20219	108	13	detailed	detailed	ADJ
ajst-20219	108	14	results	result	NOUN
ajst-20219	108	15	of	of	ADP
ajst-20219	108	16	the	the	DET
ajst-20219	108	17	second	second	ADJ
ajst-20219	108	18	stage	stage	NOUN
ajst-20219	108	19	of	of	ADP
ajst-20219	108	20	material	material	NOUN
ajst-20219	108	21	reconstruction	reconstruction	NOUN
ajst-20219	108	22	are	be	AUX
ajst-20219	108	23	shown	show	VERB
ajst-20219	108	24	.	.	PUNCT
ajst-20219	109	1	the	the	DET
ajst-20219	109	2	first	first	ADJ
ajst-20219	109	3	and	and	CCONJ
ajst-20219	109	4	second	second	ADJ
ajst-20219	109	5	columns	column	NOUN
ajst-20219	109	6	in	in	ADP
ajst-20219	109	7	the	the	DET
ajst-20219	109	8	figure	figure	NOUN
ajst-20219	109	9	present	present	VERB
ajst-20219	109	10	the	the	DET
ajst-20219	109	11	reference	reference	NOUN
ajst-20219	109	12	image	image	NOUN
ajst-20219	109	13	and	and	CCONJ
ajst-20219	109	14	the	the	DET
ajst-20219	109	15	corresponding	corresponding	ADJ
ajst-20219	109	16	rendered	render	VERB
ajst-20219	109	17	image	image	NOUN
ajst-20219	109	18	respectively	respectively	ADV
ajst-20219	109	19	.	.	PUNCT
ajst-20219	109	20	by	by	ADP
ajst-20219	109	21	comparing	compare	VERB
ajst-20219	109	22	the	the	DET
ajst-20219	109	23	two	two	NUM
ajst-20219	109	24	columns	column	NOUN
ajst-20219	109	25	of	of	ADP
ajst-20219	109	26	images	image	NOUN
ajst-20219	109	27	,	,	PUNCT
ajst-20219	109	28	the	the	DET
ajst-20219	109	29	differences	difference	NOUN
ajst-20219	109	30	and	and	CCONJ
ajst-20219	109	31	similarities	similarity	NOUN
ajst-20219	109	32	in	in	ADP
ajst-20219	109	33	the	the	DET
ajst-20219	109	34	reconstruction	reconstruction	NOUN
ajst-20219	109	35	process	process	NOUN
ajst-20219	109	36	can	can	AUX
ajst-20219	109	37	be	be	AUX
ajst-20219	109	38	visually	visually	ADV
ajst-20219	109	39	observed	observe	VERB
ajst-20219	109	40	.	.	PUNCT
ajst-20219	110	1	during	during	ADP
ajst-20219	110	2	the	the	DET
ajst-20219	110	3	reconstruction	reconstruction	NOUN
ajst-20219	110	4	process	process	NOUN
ajst-20219	110	5	,	,	PUNCT
ajst-20219	110	6	the	the	DET
ajst-20219	110	7	obtained	obtain	VERB
ajst-20219	110	8	material	material	NOUN
ajst-20219	110	9	parameters	parameter	NOUN
ajst-20219	110	10	are	be	AUX
ajst-20219	110	11	refined	refine	VERB
ajst-20219	110	12	into	into	ADP
ajst-20219	110	13	three	three	NUM
ajst-20219	110	14	key	key	ADJ
ajst-20219	110	15	parameters	parameter	NOUN
ajst-20219	110	16	:	:	PUNCT
ajst-20219	110	17	reflectivity	reflectivity	NOUN
ajst-20219	110	18	,	,	PUNCT
ajst-20219	110	19	metallicity	metallicity	NOUN
ajst-20219	110	20	,	,	PUNCT
ajst-20219	110	21	and	and	CCONJ
ajst-20219	110	22	roughness	roughness	NOUN
ajst-20219	110	23	.	.	PUNCT
ajst-20219	111	1	from	from	ADP
ajst-20219	111	2	the	the	DET
ajst-20219	111	3	third	third	ADJ
ajst-20219	111	4	column	column	NOUN
ajst-20219	111	5	to	to	ADP
ajst-20219	111	6	the	the	DET
ajst-20219	111	7	fifth	fifth	ADJ
ajst-20219	111	8	column	column	NOUN
ajst-20219	111	9	,	,	PUNCT
ajst-20219	111	10	the	the	DET
ajst-20219	111	11	reconstruction	reconstruction	NOUN
ajst-20219	111	12	results	result	NOUN
ajst-20219	111	13	of	of	ADP
ajst-20219	111	14	reflectivity	reflectivity	NOUN
ajst-20219	111	15	,	,	PUNCT
ajst-20219	111	16	metallicity	metallicity	NOUN
ajst-20219	111	17	and	and	CCONJ
ajst-20219	111	18	roughness	roughness	NOUN
ajst-20219	111	19	are	be	AUX
ajst-20219	111	20	shown	show	VERB
ajst-20219	111	21	in	in	ADP
ajst-20219	111	22	sequence	sequence	NOUN
ajst-20219	111	23	.	.	PUNCT
ajst-20219	112	1	after	after	ADP
ajst-20219	112	2	analysis	analysis	NOUN
ajst-20219	112	3	,	,	PUNCT
ajst-20219	112	4	it	it	PRON
ajst-20219	112	5	can	can	AUX
ajst-20219	112	6	be	be	AUX
ajst-20219	112	7	found	find	VERB
ajst-20219	112	8	that	that	SCONJ
ajst-20219	112	9	these	these	DET
ajst-20219	112	10	prediction	prediction	NOUN
ajst-20219	112	11	results	result	NOUN
ajst-20219	112	12	are	be	AUX
ajst-20219	112	13	consistent	consistent	ADJ
ajst-20219	112	14	with	with	ADP
ajst-20219	112	15	the	the	DET
ajst-20219	112	16	actual	actual	ADJ
ajst-20219	112	17	material	material	NOUN
ajst-20219	112	18	information	information	NOUN
ajst-20219	112	19	in	in	ADP
ajst-20219	112	20	the	the	DET
ajst-20219	112	21	reference	reference	NOUN
ajst-20219	112	22	image	image	NOUN
ajst-20219	112	23	.	.	PUNCT
ajst-20219	113	1	in	in	ADP
ajst-20219	113	2	particular	particular	ADJ
ajst-20219	113	3	,	,	PUNCT
ajst-20219	113	4	the	the	DET
ajst-20219	113	5	reconstruction	reconstruction	NOUN
ajst-20219	113	6	effect	effect	NOUN
ajst-20219	113	7	of	of	ADP
ajst-20219	113	8	metallicity	metallicity	NOUN
ajst-20219	113	9	and	and	CCONJ
ajst-20219	113	10	roughness	roughness	NOUN
ajst-20219	113	11	can	can	AUX
ajst-20219	113	12	more	more	ADV
ajst-20219	113	13	accurately	accurately	ADV
ajst-20219	113	14	reflect	reflect	VERB
ajst-20219	113	15	the	the	DET
ajst-20219	113	16	material	material	NOUN
ajst-20219	113	17	characteristics	characteristic	NOUN
ajst-20219	113	18	in	in	ADP
ajst-20219	113	19	the	the	DET
ajst-20219	113	20	reference	reference	NOUN
ajst-20219	113	21	image	image	NOUN
ajst-20219	113	22	.	.	PUNCT
ajst-20219	114	1	therefore	therefore	ADV
ajst-20219	114	2	,	,	PUNCT
ajst-20219	114	3	it	it	PRON
ajst-20219	114	4	can	can	AUX
ajst-20219	114	5	be	be	AUX
ajst-20219	114	6	considered	consider	VERB
ajst-20219	114	7	that	that	SCONJ
ajst-20219	114	8	this	this	DET
ajst-20219	114	9	stage	stage	NOUN
ajst-20219	114	10	the	the	DET
ajst-20219	114	11	material	material	NOUN
ajst-20219	114	12	reconstruction	reconstruction	NOUN
ajst-20219	114	13	results	result	NOUN
ajst-20219	114	14	are	be	AUX
ajst-20219	114	15	reasonable	reasonable	ADJ
ajst-20219	114	16	and	and	CCONJ
ajst-20219	114	17	effective	effective	ADJ
ajst-20219	114	18	.	.	PUNCT
ajst-20219	115	1	figure	figure	NOUN
ajst-20219	115	2	4	4	NUM
ajst-20219	115	3	-	-	SYM
ajst-20219	115	4	3	3	NUM
ajst-20219	115	5	.	.	PUNCT
ajst-20219	116	1	brdf	brdf	PROPN
ajst-20219	116	2	estimation	estimation	NOUN
ajst-20219	116	3	result	result	VERB
ajst-20219	116	4	5	5	NUM
ajst-20219	116	5	.	.	X
ajst-20219	116	6	conclusion	conclusion	NOUN
ajst-20219	116	7	for	for	ADP
ajst-20219	116	8	objects	object	NOUN
ajst-20219	116	9	with	with	ADP
ajst-20219	116	10	reflective	reflective	ADJ
ajst-20219	116	11	surfaces	surface	NOUN
ajst-20219	116	12	that	that	PRON
ajst-20219	116	13	are	be	AUX
ajst-20219	116	14	common	common	ADJ
ajst-20219	116	15	in	in	ADP
ajst-20219	116	16	daily	daily	ADJ
ajst-20219	116	17	life	life	NOUN
ajst-20219	116	18	,	,	PUNCT
ajst-20219	116	19	traditional	traditional	ADJ
ajst-20219	116	20	multi	multi	ADJ
ajst-20219	116	21	-	-	ADJ
ajst-20219	116	22	view	view	ADJ
ajst-20219	116	23	3d	3d	NOUN
ajst-20219	116	24	reconstruction	reconstruction	NOUN
ajst-20219	116	25	methods	method	NOUN
ajst-20219	116	26	are	be	AUX
ajst-20219	116	27	often	often	ADV
ajst-20219	116	28	difficult	difficult	ADJ
ajst-20219	116	29	to	to	PART
ajst-20219	116	30	achieve	achieve	VERB
ajst-20219	116	31	ideal	ideal	ADJ
ajst-20219	116	32	results	result	NOUN
ajst-20219	116	33	due	due	ADP
ajst-20219	116	34	to	to	ADP
ajst-20219	116	35	the	the	DET
ajst-20219	116	36	complexity	complexity	NOUN
ajst-20219	116	37	of	of	ADP
ajst-20219	116	38	their	their	PRON
ajst-20219	116	39	surface	surface	NOUN
ajst-20219	116	40	reflections	reflection	NOUN
ajst-20219	116	41	.	.	PUNCT
ajst-20219	117	1	to	to	ADP
ajst-20219	117	2	this	this	DET
ajst-20219	117	3	end	end	NOUN
ajst-20219	117	4	,	,	PUNCT
ajst-20219	117	5	this	this	DET
ajst-20219	117	6	paper	paper	NOUN
ajst-20219	117	7	proposes	propose	VERB
ajst-20219	117	8	a	a	DET
ajst-20219	117	9	reflective	reflective	ADJ
ajst-20219	117	10	surface	surface	NOUN
ajst-20219	117	11	reconstruction	reconstruction	NOUN
ajst-20219	117	12	method	method	NOUN
ajst-20219	117	13	based	base	VERB
ajst-20219	117	14	on	on	ADP
ajst-20219	117	15	neural	neural	ADJ
ajst-20219	117	16	radiation	radiation	NOUN
ajst-20219	117	17	fields	field	NOUN
ajst-20219	117	18	.	.	PUNCT
ajst-20219	118	1	the	the	DET
ajst-20219	118	2	method	method	NOUN
ajst-20219	118	3	is	be	AUX
ajst-20219	118	4	divided	divide	VERB
ajst-20219	118	5	into	into	ADP
ajst-20219	118	6	two	two	NUM
ajst-20219	118	7	stages	stage	NOUN
ajst-20219	118	8	and	and	CCONJ
ajst-20219	118	9	aims	aim	VERB
ajst-20219	118	10	to	to	PART
ajst-20219	118	11	accurately	accurately	ADV
ajst-20219	118	12	reconstruct	reconstruct	VERB
ajst-20219	118	13	objects	object	NOUN
ajst-20219	118	14	with	with	ADP
ajst-20219	118	15	reflective	reflective	ADJ
ajst-20219	118	16	surfaces	surface	NOUN
ajst-20219	118	17	.	.	PUNCT
ajst-20219	119	1	in	in	ADP
ajst-20219	119	2	the	the	DET
ajst-20219	119	3	first	first	ADJ
ajst-20219	119	4	stage	stage	NOUN
ajst-20219	119	5	,	,	PUNCT
ajst-20219	119	6	an	an	DET
ajst-20219	119	7	occupancy	occupancy	NOUN
ajst-20219	119	8	loss	loss	NOUN
ajst-20219	119	9	is	be	AUX
ajst-20219	119	10	introduced	introduce	VERB
ajst-20219	119	11	to	to	PART
ajst-20219	119	12	estimate	estimate	VERB
ajst-20219	119	13	the	the	DET
ajst-20219	119	14	geometric	geometric	ADJ
ajst-20219	119	15	shape	shape	NOUN
ajst-20219	119	16	to	to	PART
ajst-20219	119	17	optimize	optimize	VERB
ajst-20219	119	18	the	the	DET
ajst-20219	119	19	reconstruction	reconstruction	NOUN
ajst-20219	119	20	accuracy	accuracy	NOUN
ajst-20219	119	21	of	of	ADP
ajst-20219	119	22	the	the	DET
ajst-20219	119	23	geometric	geometric	ADJ
ajst-20219	119	24	model	model	NOUN
ajst-20219	119	25	.	.	PUNCT
ajst-20219	120	1	through	through	ADP
ajst-20219	120	2	this	this	DET
ajst-20219	120	3	improvement	improvement	NOUN
ajst-20219	120	4	,	,	PUNCT
ajst-20219	120	5	a	a	DET
ajst-20219	120	6	more	more	ADV
ajst-20219	120	7	accurate	accurate	ADJ
ajst-20219	120	8	geometric	geometric	ADJ
ajst-20219	120	9	model	model	NOUN
ajst-20219	120	10	can	can	AUX
ajst-20219	120	11	be	be	AUX
ajst-20219	120	12	obtained	obtain	VERB
ajst-20219	120	13	.	.	PUNCT
ajst-20219	121	1	in	in	ADP
ajst-20219	121	2	the	the	DET
ajst-20219	121	3	second	second	ADJ
ajst-20219	121	4	stage	stage	NOUN
ajst-20219	121	5	,	,	PUNCT
ajst-20219	121	6	based	base	VERB
ajst-20219	121	7	on	on	ADP
ajst-20219	121	8	the	the	DET
ajst-20219	121	9	reconstructed	reconstruct	VERB
ajst-20219	121	10	accurate	accurate	ADJ
ajst-20219	121	11	geometric	geometric	ADJ
ajst-20219	121	12	model	model	NOUN
ajst-20219	121	13	,	,	PUNCT
ajst-20219	121	14	the	the	DET
ajst-20219	121	15	material	material	NOUN
ajst-20219	121	16	parameter	parameter	PROPN
ajst-20219	121	17	estimation	estimation	NOUN
ajst-20219	121	18	model	model	NOUN
ajst-20219	121	19	is	be	AUX
ajst-20219	121	20	used	use	VERB
ajst-20219	121	21	to	to	PART
ajst-20219	121	22	restore	restore	VERB
ajst-20219	121	23	the	the	DET
ajst-20219	121	24	material	material	NOUN
ajst-20219	121	25	parameters	parameter	NOUN
ajst-20219	121	26	of	of	ADP
ajst-20219	121	27	the	the	DET
ajst-20219	121	28	reconstructed	reconstructed	ADJ
ajst-20219	121	29	object	object	NOUN
ajst-20219	121	30	,	,	PUNCT
ajst-20219	121	31	thereby	thereby	ADV
ajst-20219	121	32	achieving	achieve	VERB
ajst-20219	121	33	a	a	DET
ajst-20219	121	34	complete	complete	ADJ
ajst-20219	121	35	reconstruction	reconstruction	NOUN
ajst-20219	121	36	of	of	ADP
ajst-20219	121	37	the	the	DET
ajst-20219	121	38	entire	entire	ADJ
ajst-20219	121	39	reconstructed	reconstructed	ADJ
ajst-20219	121	40	object	object	NOUN
ajst-20219	121	41	.	.	PUNCT
ajst-20219	122	1	experimental	experimental	ADJ
ajst-20219	122	2	results	result	NOUN
ajst-20219	122	3	show	show	VERB
ajst-20219	122	4	that	that	SCONJ
ajst-20219	122	5	in	in	ADP
ajst-20219	122	6	the	the	DET
ajst-20219	122	7	first	first	ADJ
ajst-20219	122	8	stage	stage	NOUN
ajst-20219	122	9	,	,	PUNCT
ajst-20219	122	10	the	the	DET
ajst-20219	122	11	improved	improved	ADJ
ajst-20219	122	12	method	method	NOUN
ajst-20219	122	13	in	in	ADP
ajst-20219	122	14	this	this	DET
ajst-20219	122	15	paper	paper	NOUN
ajst-20219	122	16	can	can	AUX
ajst-20219	122	17	reconstruct	reconstruct	VERB
ajst-20219	122	18	a	a	DET
ajst-20219	122	19	more	more	ADV
ajst-20219	122	20	accurate	accurate	ADJ
ajst-20219	122	21	geometric	geometric	ADJ
ajst-20219	122	22	model	model	NOUN
ajst-20219	122	23	than	than	ADP
ajst-20219	122	24	the	the	DET
ajst-20219	122	25	original	original	ADJ
ajst-20219	122	26	method	method	NOUN
ajst-20219	122	27	.	.	PUNCT
ajst-20219	123	1	in	in	ADP
ajst-20219	123	2	the	the	DET
ajst-20219	123	3	second	second	ADJ
ajst-20219	123	4	stage	stage	NOUN
ajst-20219	123	5	,	,	PUNCT
ajst-20219	123	6	satisfactory	satisfactory	ADJ
ajst-20219	123	7	surface	surface	NOUN
ajst-20219	123	8	material	material	NOUN
ajst-20219	123	9	information	information	NOUN
ajst-20219	123	10	of	of	ADP
ajst-20219	123	11	the	the	DET
ajst-20219	123	12	reconstructed	reconstructed	ADJ
ajst-20219	123	13	object	object	NOUN
ajst-20219	123	14	was	be	AUX
ajst-20219	123	15	successfully	successfully	ADV
ajst-20219	123	16	reconstructed	reconstruct	VERB
ajst-20219	123	17	.	.	PUNCT
ajst-20219	124	1	references	reference	NOUN
ajst-20219	124	2	[	[	X
ajst-20219	124	3	1	1	NUM
ajst-20219	124	4	]	]	PUNCT
ajst-20219	124	5	hartley	hartley	PROPN
ajst-20219	124	6	r	r	PROPN
ajst-20219	124	7	,	,	PUNCT
ajst-20219	124	8	zisserman	zisserman	NOUN
ajst-20219	124	9	a.	a.	NOUN
ajst-20219	124	10	multiple	multiple	ADJ
ajst-20219	124	11	view	view	NOUN
ajst-20219	124	12	geometry	geometry	NOUN
ajst-20219	124	13	in	in	ADP
ajst-20219	124	14	computer	computer	NOUN
ajst-20219	124	15	vision[m	vision[m	NOUN
ajst-20219	124	16	]	]	PUNCT
ajst-20219	124	17	.	.	PUNCT
ajst-20219	125	1	cambridge	cambridge	PROPN
ajst-20219	125	2	university	university	PROPN
ajst-20219	125	3	press	press	NOUN
ajst-20219	125	4	,	,	PUNCT
ajst-20219	125	5	2003	2003	NUM
ajst-20219	125	6	.	.	PUNCT
ajst-20219	126	1	[	[	X
ajst-20219	126	2	2	2	X
ajst-20219	126	3	]	]	PUNCT
ajst-20219	126	4	kazhdan	kazhdan	PROPN
ajst-20219	126	5	m	m	PROPN
ajst-20219	126	6	,	,	PUNCT
ajst-20219	126	7	bolitho	bolitho	PROPN
ajst-20219	126	8	m	m	PROPN
ajst-20219	126	9	,	,	PUNCT
ajst-20219	126	10	hoppe	hoppe	PROPN
ajst-20219	126	11	h.	h.	PROPN
ajst-20219	126	12	poisson	poisson	PROPN
ajst-20219	126	13	surface	surface	PROPN
ajst-20219	126	14	reconstruction[c]//proceedings	reconstruction[c]//proceeding	NOUN
ajst-20219	126	15	of	of	ADP
ajst-20219	126	16	the	the	DET
ajst-20219	126	17	fourth	fourth	ADJ
ajst-20219	126	18	eurographics	eurographic	NOUN
ajst-20219	126	19	symposium	symposium	NOUN
ajst-20219	126	20	on	on	ADP
ajst-20219	126	21	geometry	geometry	NOUN
ajst-20219	126	22	processing	processing	NOUN
ajst-20219	126	23	.	.	PUNCT
ajst-20219	127	1	2006	2006	NUM
ajst-20219	127	2	,	,	PUNCT
ajst-20219	127	3	7(4	7(4	NUM
ajst-20219	127	4	)	)	PUNCT
ajst-20219	127	5	.	.	PUNCT
ajst-20219	128	1	[	[	X
ajst-20219	128	2	3	3	X
ajst-20219	128	3	]	]	X
ajst-20219	128	4	cardozo	cardozo	PROPN
ajst-20219	128	5	n	n	CCONJ
ajst-20219	128	6	,	,	PUNCT
ajst-20219	128	7	allmendinger	allmendinger	ADJ
ajst-20219	128	8	r	r	PROPN
ajst-20219	128	9	w.	w.	PROPN
ajst-20219	128	10	spherical	spherical	ADJ
ajst-20219	128	11	projections	projection	NOUN
ajst-20219	128	12	with	with	ADP
ajst-20219	128	13	osxstereonet[j	osxstereonet[j	ADV
ajst-20219	128	14	]	]	PUNCT
ajst-20219	128	15	.	.	PUNCT
ajst-20219	129	1	computers	computer	NOUN
ajst-20219	129	2	&	&	CCONJ
ajst-20219	129	3	geosciences	geoscience	NOUN
ajst-20219	129	4	,	,	PUNCT
ajst-20219	129	5	2013	2013	NUM
ajst-20219	129	6	,	,	PUNCT
ajst-20219	129	7	51	51	NUM
ajst-20219	129	8	:	:	SYM
ajst-20219	129	9	193205	193205	NUM
ajst-20219	129	10	.	.	PUNCT
ajst-20219	130	1	[	[	X
ajst-20219	130	2	4	4	NUM
ajst-20219	130	3	]	]	X
ajst-20219	130	4	chen	chen	PROPN
ajst-20219	130	5	l	l	PROPN
ajst-20219	130	6	,	,	PUNCT
ajst-20219	130	7	xu	xu	PROPN
ajst-20219	130	8	j.	j.	PROPN
ajst-20219	130	9	optimal	optimal	PROPN
ajst-20219	130	10	delaunay	delaunay	PROPN
ajst-20219	130	11	triangulations[j	triangulations[j	PROPN
ajst-20219	130	12	]	]	PUNCT
ajst-20219	130	13	.	.	PUNCT
ajst-20219	131	1	journal	journal	PROPN
ajst-20219	131	2	of	of	ADP
ajst-20219	131	3	computational	computational	ADJ
ajst-20219	131	4	mathematics	mathematic	NOUN
ajst-20219	131	5	,	,	PUNCT
ajst-20219	131	6	2004	2004	NUM
ajst-20219	131	7	:	:	PUNCT
ajst-20219	131	8	299	299	NUM
ajst-20219	131	9	-	-	SYM
ajst-20219	131	10	308	308	NUM
ajst-20219	131	11	.	.	PUNCT
ajst-20219	132	1	[	[	X
ajst-20219	132	2	5	5	NUM
ajst-20219	132	3	]	]	X
ajst-20219	132	4	schonberger	schonberger	NOUN
ajst-20219	132	5	j	j	PROPN
ajst-20219	132	6	l	l	PROPN
ajst-20219	132	7	,	,	PUNCT
ajst-20219	132	8	frahm	frahm	PROPN
ajst-20219	132	9	j	j	PROPN
ajst-20219	132	10	m.	m.	NOUN
ajst-20219	132	11	structure	structure	NOUN
ajst-20219	132	12	-	-	PUNCT
ajst-20219	132	13	from	from	ADP
ajst-20219	132	14	-	-	PUNCT
ajst-20219	132	15	motion	motion	NOUN
ajst-20219	132	16	revisited[c]//proceedings	revisited[c]//proceeding	NOUN
ajst-20219	132	17	of	of	ADP
ajst-20219	132	18	the	the	DET
ajst-20219	132	19	ieee	ieee	NOUN
ajst-20219	132	20	conference	conference	NOUN
ajst-20219	132	21	on	on	ADP
ajst-20219	132	22	computer	computer	NOUN
ajst-20219	132	23	vision	vision	NOUN
ajst-20219	132	24	and	and	CCONJ
ajst-20219	132	25	pattern	pattern	NOUN
ajst-20219	132	26	recognition	recognition	NOUN
ajst-20219	132	27	.	.	PUNCT
ajst-20219	133	1	2016	2016	NUM
ajst-20219	133	2	:	:	PUNCT
ajst-20219	133	3	4104	4104	NUM
ajst-20219	133	4	-	-	SYM
ajst-20219	133	5	4113	4113	NUM
ajst-20219	133	6	.	.	PUNCT
ajst-20219	134	1	[	[	X
ajst-20219	134	2	6	6	NUM
ajst-20219	134	3	]	]	PUNCT
ajst-20219	134	4	mildenhall	mildenhall	NOUN
ajst-20219	134	5	b	b	PROPN
ajst-20219	134	6	,	,	PUNCT
ajst-20219	134	7	srinivasan	srinivasan	NOUN
ajst-20219	134	8	p	p	PROPN
ajst-20219	134	9	p	p	PROPN
ajst-20219	134	10	,	,	PUNCT
ajst-20219	134	11	tancik	tancik	PROPN
ajst-20219	134	12	m	m	PROPN
ajst-20219	134	13	,	,	PUNCT
ajst-20219	134	14	et	et	PROPN
ajst-20219	134	15	al	al	PROPN
ajst-20219	134	16	.	.	PROPN
ajst-20219	134	17	nerf	nerf	PROPN
ajst-20219	134	18	:	:	PUNCT
ajst-20219	134	19	representing	represent	VERB
ajst-20219	134	20	scenes	scene	NOUN
ajst-20219	134	21	as	as	ADP
ajst-20219	134	22	neural	neural	ADJ
ajst-20219	134	23	radiance	radiance	NOUN
ajst-20219	134	24	fields	field	NOUN
ajst-20219	134	25	for	for	ADP
ajst-20219	134	26	view	view	NOUN
ajst-20219	134	27	synthesis[j	synthesis[j	PROPN
ajst-20219	134	28	]	]	PUNCT
ajst-20219	134	29	.	.	PUNCT
ajst-20219	135	1	communications	communication	NOUN
ajst-20219	135	2	of	of	ADP
ajst-20219	135	3	the	the	DET
ajst-20219	135	4	acm	acm	NOUN
ajst-20219	135	5	,	,	PUNCT
ajst-20219	135	6	2021	2021	NUM
ajst-20219	135	7	,	,	PUNCT
ajst-20219	135	8	65(1	65(1	NOUN
ajst-20219	135	9	):	):	PUNCT
ajst-20219	135	10	99106	99106	NUM
ajst-20219	135	11	.	.	PUNCT
ajst-20219	136	1	206	206	NUM
ajst-20219	137	1	[	[	X
ajst-20219	137	2	7	7	X
ajst-20219	137	3	]	]	X
ajst-20219	137	4	wang	wang	PROPN
ajst-20219	137	5	p	p	PROPN
ajst-20219	137	6	,	,	PUNCT
ajst-20219	137	7	liu	liu	PROPN
ajst-20219	137	8	l	l	PROPN
ajst-20219	137	9	,	,	PUNCT
ajst-20219	137	10	liu	liu	PROPN
ajst-20219	137	11	y	y	PROPN
ajst-20219	137	12	,	,	PUNCT
ajst-20219	137	13	et	et	PROPN
ajst-20219	137	14	al	al	PROPN
ajst-20219	137	15	.	.	PROPN
ajst-20219	137	16	neus	neus	PROPN
ajst-20219	137	17	:	:	PUNCT
ajst-20219	137	18	learning	learn	VERB
ajst-20219	137	19	neural	neural	ADJ
ajst-20219	137	20	implicit	implicit	ADJ
ajst-20219	137	21	surfaces	surface	NOUN
ajst-20219	137	22	by	by	ADP
ajst-20219	137	23	volume	volume	NOUN
ajst-20219	137	24	rendering	rendering	NOUN
ajst-20219	137	25	for	for	ADP
ajst-20219	137	26	multi	multi	ADJ
ajst-20219	137	27	-	-	ADJ
ajst-20219	137	28	view	view	ADJ
ajst-20219	137	29	reconstruction[j	reconstruction[j	PROPN
ajst-20219	137	30	]	]	PUNCT
ajst-20219	137	31	.	.	PUNCT
ajst-20219	138	1	arxiv	arxiv	PROPN
ajst-20219	138	2	preprint	preprint	PROPN
ajst-20219	138	3	arxiv:2106.10689	arxiv:2106.10689	PROPN
ajst-20219	138	4	,	,	PUNCT
ajst-20219	138	5	2021	2021	NUM
ajst-20219	138	6	.	.	PUNCT
ajst-20219	139	1	[	[	X
ajst-20219	139	2	8	8	NUM
ajst-20219	139	3	]	]	SYM
ajst-20219	139	4	verbin	verbin	NOUN
ajst-20219	139	5	d	d	PROPN
ajst-20219	139	6	,	,	PUNCT
ajst-20219	139	7	hedman	hedman	PROPN
ajst-20219	139	8	p	p	NOUN
ajst-20219	139	9	,	,	PUNCT
ajst-20219	139	10	mildenhall	mildenhall	NOUN
ajst-20219	139	11	b	b	PROPN
ajst-20219	139	12	,	,	PUNCT
ajst-20219	139	13	et	et	PROPN
ajst-20219	139	14	al	al	PROPN
ajst-20219	139	15	.	.	PUNCT
ajst-20219	140	1	ref	ref	NOUN
ajst-20219	140	2	-	-	PUNCT
ajst-20219	140	3	nerf	nerf	NOUN
ajst-20219	140	4	:	:	PUNCT
ajst-20219	140	5	structured	structured	ADJ
ajst-20219	140	6	view	view	NOUN
ajst-20219	140	7	-	-	PUNCT
ajst-20219	140	8	dependent	dependent	ADJ
ajst-20219	140	9	appearance	appearance	NOUN
ajst-20219	140	10	for	for	ADP
ajst-20219	140	11	neural	neural	ADJ
ajst-20219	140	12	radiance	radiance	NOUN
ajst-20219	140	13	fields[c]//2022	fields[c]//2022	PROPN
ajst-20219	140	14	ieee	ieee	NOUN
ajst-20219	140	15	/	/	SYM
ajst-20219	140	16	cvf	cvf	NOUN
ajst-20219	140	17	conference	conference	NOUN
ajst-20219	140	18	on	on	ADP
ajst-20219	140	19	computer	computer	NOUN
ajst-20219	140	20	vision	vision	NOUN
ajst-20219	140	21	and	and	CCONJ
ajst-20219	140	22	pattern	pattern	NOUN
ajst-20219	140	23	recognition	recognition	NOUN
ajst-20219	140	24	(	(	PUNCT
ajst-20219	140	25	cvpr	cvpr	NOUN
ajst-20219	140	26	)	)	PUNCT
ajst-20219	140	27	.	.	PUNCT
ajst-20219	141	1	ieee	ieee	NOUN
ajst-20219	141	2	,	,	PUNCT
ajst-20219	141	3	2022	2022	NUM
ajst-20219	141	4	:	:	PUNCT
ajst-20219	141	5	5481	5481	NUM
ajst-20219	141	6	-	-	SYM
ajst-20219	141	7	5490	5490	NUM
ajst-20219	141	8	.	.	PUNCT
ajst-20219	142	1	[	[	X
ajst-20219	142	2	9	9	NUM
ajst-20219	142	3	]	]	X
ajst-20219	142	4	guo	guo	PROPN
ajst-20219	142	5	y	y	PROPN
ajst-20219	142	6	c	c	PROPN
ajst-20219	142	7	,	,	PUNCT
ajst-20219	142	8	kang	kang	PROPN
ajst-20219	142	9	d	d	PROPN
ajst-20219	142	10	,	,	PUNCT
ajst-20219	142	11	bao	bao	PROPN
ajst-20219	142	12	l	l	NOUN
ajst-20219	142	13	,	,	PUNCT
ajst-20219	142	14	et	et	PROPN
ajst-20219	142	15	al	al	PROPN
ajst-20219	142	16	.	.	PUNCT
ajst-20219	143	1	nerfren	nerfren	PROPN
ajst-20219	143	2	:	:	PUNCT
ajst-20219	143	3	neural	neural	ADJ
ajst-20219	143	4	radiance	radiance	NOUN
ajst-20219	143	5	fields	field	NOUN
ajst-20219	143	6	with	with	ADP
ajst-20219	143	7	reflections[c]//proceedings	reflections[c]//proceeding	NOUN
ajst-20219	143	8	of	of	ADP
ajst-20219	143	9	the	the	DET
ajst-20219	143	10	ieee	ieee	NOUN
ajst-20219	143	11	/	/	SYM
ajst-20219	143	12	cvf	cvf	NOUN
ajst-20219	143	13	conference	conference	NOUN
ajst-20219	143	14	on	on	ADP
ajst-20219	143	15	computer	computer	NOUN
ajst-20219	143	16	vision	vision	NOUN
ajst-20219	143	17	and	and	CCONJ
ajst-20219	143	18	pattern	pattern	NOUN
ajst-20219	143	19	recognition	recognition	NOUN
ajst-20219	143	20	.	.	PUNCT
ajst-20219	144	1	2022	2022	NUM
ajst-20219	144	2	:	:	PUNCT
ajst-20219	144	3	1840918418	1840918418	NUM
ajst-20219	144	4	.	.	PUNCT
ajst-20219	145	1	[	[	X
ajst-20219	145	2	10	10	NUM
ajst-20219	145	3	]	]	X
ajst-20219	145	4	ge	ge	PROPN
ajst-20219	145	5	w	w	PROPN
ajst-20219	145	6	,	,	PUNCT
ajst-20219	145	7	hu	hu	PROPN
ajst-20219	145	8	t	t	PROPN
ajst-20219	145	9	,	,	PUNCT
ajst-20219	145	10	zhao	zhao	PROPN
ajst-20219	145	11	h	h	PROPN
ajst-20219	145	12	,	,	PUNCT
ajst-20219	145	13	et	et	PROPN
ajst-20219	145	14	al	al	PROPN
ajst-20219	145	15	.	.	PUNCT
ajst-20219	146	1	ref	ref	NOUN
ajst-20219	146	2	-	-	PUNCT
ajst-20219	146	3	neus	neus	NOUN
ajst-20219	146	4	:	:	PUNCT
ajst-20219	146	5	ambiguity	ambiguity	NOUN
ajst-20219	146	6	-	-	PUNCT
ajst-20219	146	7	reduced	reduce	VERB
ajst-20219	146	8	neural	neural	ADJ
ajst-20219	146	9	implicit	implicit	ADJ
ajst-20219	146	10	surface	surface	NOUN
ajst-20219	146	11	learning	learning	NOUN
ajst-20219	146	12	for	for	ADP
ajst-20219	146	13	multi	multi	ADJ
ajst-20219	146	14	-	-	ADJ
ajst-20219	146	15	view	view	ADJ
ajst-20219	146	16	reconstruction	reconstruction	NOUN
ajst-20219	146	17	with	with	ADP
ajst-20219	146	18	reflection[c]//proceedings	reflection[c]//proceeding	NOUN
ajst-20219	146	19	of	of	ADP
ajst-20219	146	20	the	the	DET
ajst-20219	146	21	ieee	ieee	NOUN
ajst-20219	146	22	/	/	SYM
ajst-20219	146	23	cvf	cvf	NOUN
ajst-20219	146	24	international	international	ADJ
ajst-20219	146	25	conference	conference	NOUN
ajst-20219	146	26	on	on	ADP
ajst-20219	146	27	computer	computer	NOUN
ajst-20219	146	28	vision	vision	NOUN
ajst-20219	146	29	.	.	PUNCT
ajst-20219	147	1	2023	2023	NUM
ajst-20219	147	2	:	:	PUNCT
ajst-20219	147	3	4251	4251	NUM
ajst-20219	147	4	-	-	SYM
ajst-20219	147	5	4260	4260	NUM
ajst-20219	147	6	.	.	PUNCT
ajst-20219	148	1	[	[	X
ajst-20219	148	2	11	11	NUM
ajst-20219	148	3	]	]	X
ajst-20219	148	4	liu	liu	PROPN
ajst-20219	148	5	y	y	PROPN
ajst-20219	148	6	,	,	PUNCT
ajst-20219	148	7	wang	wang	PROPN
ajst-20219	148	8	p	p	PROPN
ajst-20219	148	9	,	,	PUNCT
ajst-20219	148	10	lin	lin	PROPN
ajst-20219	148	11	c	c	PROPN
ajst-20219	148	12	,	,	PUNCT
ajst-20219	148	13	et	et	PROPN
ajst-20219	148	14	al	al	PROPN
ajst-20219	148	15	.	.	PROPN
ajst-20219	148	16	nero	nero	PROPN
ajst-20219	148	17	:	:	PUNCT
ajst-20219	148	18	neural	neural	ADJ
ajst-20219	148	19	geometry	geometry	NOUN
ajst-20219	148	20	and	and	CCONJ
ajst-20219	148	21	brdf	brdf	VERB
ajst-20219	148	22	reconstruction	reconstruction	NOUN
ajst-20219	148	23	of	of	ADP
ajst-20219	148	24	reflective	reflective	ADJ
ajst-20219	148	25	objects	object	NOUN
ajst-20219	148	26	from	from	ADP
ajst-20219	148	27	multiview	multiview	PROPN
ajst-20219	148	28	images[j	images[j	PROPN
ajst-20219	148	29	]	]	PUNCT
ajst-20219	148	30	.	.	PUNCT
ajst-20219	149	1	acm	acm	PROPN
ajst-20219	149	2	transactions	transaction	NOUN
ajst-20219	149	3	on	on	ADP
ajst-20219	149	4	graphics	graphic	NOUN
ajst-20219	149	5	(	(	PUNCT
ajst-20219	149	6	tog	tog	PROPN
ajst-20219	149	7	)	)	PUNCT
ajst-20219	149	8	,	,	PUNCT
ajst-20219	149	9	2023	2023	NUM
ajst-20219	149	10	,	,	PUNCT
ajst-20219	149	11	42(4	42(4	NUM
ajst-20219	149	12	):	):	PUNCT
ajst-20219	149	13	1	1	NUM
ajst-20219	149	14	-	-	SYM
ajst-20219	149	15	22	22	NUM
ajst-20219	149	16	.	.	PUNCT
ajst-20219	150	1	[	[	X
ajst-20219	150	2	12	12	NUM
ajst-20219	150	3	]	]	X
ajst-20219	150	4	martin	martin	NOUN
ajst-20219	150	5	-	-	PUNCT
ajst-20219	150	6	brualla	brualla	NOUN
ajst-20219	150	7	r	r	NOUN
ajst-20219	150	8	,	,	PUNCT
ajst-20219	150	9	radwan	radwan	NOUN
ajst-20219	150	10	n	n	CCONJ
ajst-20219	150	11	,	,	PUNCT
ajst-20219	150	12	sajjadi	sajjadi	PROPN
ajst-20219	150	13	m	m	PROPN
ajst-20219	150	14	s	s	NOUN
ajst-20219	150	15	m	m	NOUN
ajst-20219	150	16	,	,	PUNCT
ajst-20219	150	17	et	et	PROPN
ajst-20219	150	18	al	al	PROPN
ajst-20219	150	19	.	.	PUNCT
ajst-20219	150	20	nerf	nerf	PROPN
ajst-20219	150	21	in	in	ADP
ajst-20219	150	22	the	the	DET
ajst-20219	150	23	wild	wild	NOUN
ajst-20219	150	24	:	:	PUNCT
ajst-20219	150	25	neural	neural	ADJ
ajst-20219	150	26	radiance	radiance	NOUN
ajst-20219	150	27	fields	field	NOUN
ajst-20219	150	28	for	for	ADP
ajst-20219	150	29	unconstrained	unconstrained	ADJ
ajst-20219	150	30	photo	photo	NOUN
ajst-20219	150	31	collections[c]//proceedings	collections[c]//proceeding	NOUN
ajst-20219	150	32	of	of	ADP
ajst-20219	150	33	the	the	DET
ajst-20219	150	34	ieee	ieee	NOUN
ajst-20219	150	35	/	/	SYM
ajst-20219	150	36	cvf	cvf	NOUN
ajst-20219	150	37	conference	conference	NOUN
ajst-20219	150	38	on	on	ADP
ajst-20219	150	39	computer	computer	NOUN
ajst-20219	150	40	vision	vision	NOUN
ajst-20219	150	41	and	and	CCONJ
ajst-20219	150	42	pattern	pattern	NOUN
ajst-20219	150	43	recognition	recognition	NOUN
ajst-20219	150	44	.	.	PUNCT
ajst-20219	151	1	2021	2021	NUM
ajst-20219	151	2	:	:	PUNCT
ajst-20219	151	3	7210	7210	NUM
ajst-20219	151	4	-	-	SYM
ajst-20219	151	5	7219	7219	NUM
ajst-20219	151	6	.	.	PUNCT