{"id":"https://openalex.org/W4388623114","doi":"https://doi.org/10.1109/tvcg.2023.3330518","title":"VQ-NeRF: Neural Reflectance Decomposition and Editing With Vector Quantization","display_name":"VQ-NeRF: Neural Reflectance Decomposition and Editing With Vector Quantization","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388623114","doi":"https://doi.org/10.1109/tvcg.2023.3330518","pmid":"https://pubmed.ncbi.nlm.nih.gov/37956018"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2023.3330518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3330518","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085179866","display_name":"Hongliang Zhong","orcid":"https://orcid.org/0009-0002-0840-8812"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hongliang Zhong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0002-0840-8812","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031225215","display_name":"Jingbo Zhang","orcid":"https://orcid.org/0000-0003-0009-2315"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jingbo Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-0009-2315","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013972536","display_name":"Jing Liao","orcid":"https://orcid.org/0000-0001-7014-5377"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jing Liao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7014-5377","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7639,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95232524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"30","issue":"9","first_page":"6247","last_page":"6260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7879082560539246},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.6318519115447998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609740614891052},{"id":"https://openalex.org/keywords/discretization","display_name":"Discretization","score":0.540902316570282},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4986083507537842},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4984731674194336},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44016680121421814},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4172617495059967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3549519181251526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11095637083053589}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7879082560539246},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.6318519115447998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609740614891052},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.540902316570282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4986083507537842},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4984731674194336},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44016680121421814},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4172617495059967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3549519181251526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11095637083053589},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2023.3330518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2023.3330518","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:37956018","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37956018","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306709","display_name":"Glaucoma Research Foundation","ror":"https://ror.org/05ez53b31"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1937773866","https://openalex.org/W2080246732","https://openalex.org/W2344854399","https://openalex.org/W2471962767","https://openalex.org/W2736596523","https://openalex.org/W2752796333","https://openalex.org/W2798567105","https://openalex.org/W2804145368","https://openalex.org/W2811490555","https://openalex.org/W2896568139","https://openalex.org/W2903365351","https://openalex.org/W2947356699","https://openalex.org/W2963799213","https://openalex.org/W2965557046","https://openalex.org/W3015046124","https://openalex.org/W3035359232","https://openalex.org/W3048093719","https://openalex.org/W3175488633","https://openalex.org/W3195620846","https://openalex.org/W3203570626","https://openalex.org/W3204455502","https://openalex.org/W3204940953","https://openalex.org/W3206395542","https://openalex.org/W3213840695","https://openalex.org/W3215927878","https://openalex.org/W4200150166","https://openalex.org/W4200313684","https://openalex.org/W4221155631","https://openalex.org/W4226488085","https://openalex.org/W4245933748","https://openalex.org/W4281677663","https://openalex.org/W4286611058","https://openalex.org/W4286892467","https://openalex.org/W4293704575","https://openalex.org/W4309805224","https://openalex.org/W4312234520","https://openalex.org/W4312568777","https://openalex.org/W4312950208","https://openalex.org/W4386047762","https://openalex.org/W4386076582","https://openalex.org/W4390873173","https://openalex.org/W4390873177","https://openalex.org/W4398189035","https://openalex.org/W6751821244","https://openalex.org/W6781574375","https://openalex.org/W6797770180","https://openalex.org/W6802517614","https://openalex.org/W6803235211","https://openalex.org/W6810162470","https://openalex.org/W6838998448","https://openalex.org/W6846342132"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2793786119","https://openalex.org/W1507702947","https://openalex.org/W4388446985"],"abstract_inverted_index":{"We":[0,182],"propose":[1,144],"VQ-NeRF,":[2],"a":[3,69,73,117,145,158],"two-branch":[4],"neural":[5,23],"network":[6],"model":[7,31,66,107,185,203],"that":[8,37],"incorporates":[9],"Vector":[10],"Quantization":[11],"(VQ)":[12],"to":[13,30,83,95,151,177,207],"decompose":[14],"and":[15,57,72,115,189],"edit":[16],"reflectance":[17,24],"fields":[18,25],"in":[19,45,53,111,157,163,212],"3D":[20,32,213],"scenes.":[21,214],"Conventional":[22],"use":[26],"only":[27],"continuous":[28,70,77,97],"representations":[29],"scenes,":[33,191],"despite":[34],"the":[35,80,88,92,104,112,135,139,153,164,197,205],"fact":[36],"objects":[38],"are":[39],"typically":[40],"composed":[41],"of":[42,49,68,120,138,155,199],"discrete":[43,74,89,121,209],"materials":[44,98,124,156],"reality.":[46],"This":[47],"lack":[48],"discretization":[50],"can":[51,108,125],"result":[52],"noisy":[54],"material":[55,59,165,180,210],"decomposition":[56,113],"complicated":[58],"editing.":[60,181],"To":[61,168,196],"address":[62],"these":[63],"limitations,":[64],"our":[65,106,184,200,202],"consists":[67],"branch":[71,78,90],"branch.":[75],"The":[76],"follows":[79],"conventional":[81],"pipeline":[82],"predict":[84,152],"decomposed":[85],"materials,":[86,105],"while":[87],"uses":[91],"VQ":[93,147],"mechanism":[94],"quantize":[96],"into":[99],"individual":[100],"ones.":[101],"By":[102],"discretizing":[103],"reduce":[109],"noise":[110],"process":[114],"generate":[116],"segmentation":[118,140,166],"map":[119],"materials.":[122],"Specific":[123],"be":[126],"easily":[127],"selected":[128],"for":[129],"further":[130,178],"editing":[131,211],"by":[132],"clicking":[133],"on":[134,186],"corresponding":[136],"area":[137],"outcomes.":[141],"Additionally,":[142],"we":[143,171],"dropout-based":[146],"codeword":[148],"ranking":[149],"strategy":[150],"number":[154],"scene,":[159],"which":[160],"reduces":[161],"redundancy":[162],"process.":[167],"improve":[169],"usability,":[170],"also":[172],"develop":[173],"an":[174],"interactive":[175],"interface":[176],"assist":[179],"evaluate":[183],"both":[187],"computer-generated":[188],"real-world":[190],"demonstrating":[192],"its":[193],"superior":[194],"performance.":[195],"best":[198],"knowledge,":[201],"is":[204],"first":[206],"enable":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-23T13:55:30.953635","created_date":"2025-10-10T00:00:00"}
