{"id":"https://openalex.org/W4309710356","doi":"https://doi.org/10.1145/3565516.3565517","title":"Neural apparent BRDF fields for multiview photometric stereo","display_name":"Neural apparent BRDF fields for multiview photometric stereo","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W4309710356","doi":"https://doi.org/10.1145/3565516.3565517"},"language":"en","primary_location":{"id":"doi:10.1145/3565516.3565517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565516.3565517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Visual Media Production","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5038882438","display_name":"Meghna Asthana","orcid":"https://orcid.org/0000-0002-6101-8904"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Meghna Asthana","raw_affiliation_strings":["Department of Computer Science, University of York, UK"],"raw_orcid":"https://orcid.org/0000-0002-6101-8904","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086288842","display_name":"William A. P. Smith","orcid":"https://orcid.org/0000-0002-6047-0413"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William Smith","raw_affiliation_strings":["Department of Computer Science, University of York, UK"],"raw_orcid":"https://orcid.org/0000-0002-6047-0413","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091063851","display_name":"Patrik Huber","orcid":"https://orcid.org/0000-0002-1474-1040"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Patrik Huber","raw_affiliation_strings":["Department of Computer Science, University of York, UK"],"raw_orcid":"https://orcid.org/0000-0002-1474-1040","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of York, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038882438"],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":2.2017,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92253648,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"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":0.9968000054359436,"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":0.996399998664856,"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/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.9625540971755981},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.8380083441734314},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.7919565439224243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987844705581665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6516872048377991},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6338532567024231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5570874810218811},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5432636737823486},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5356015563011169},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5254720449447632},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.46050000190734863},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4281500577926636},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28253766894340515},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28197523951530457},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.21185678243637085},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19792819023132324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19654548168182373},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14676079154014587},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12037080526351929}],"concepts":[{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.9625540971755981},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.8380083441734314},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.7919565439224243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987844705581665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6516872048377991},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6338532567024231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5570874810218811},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5432636737823486},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5356015563011169},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5254720449447632},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.46050000190734863},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4281500577926636},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28253766894340515},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28197523951530457},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.21185678243637085},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19792819023132324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19654548168182373},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14676079154014587},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12037080526351929},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565516.3565517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565516.3565517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"European Conference on Visual Media Production","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1494645067","https://openalex.org/W2122572959","https://openalex.org/W2126521141","https://openalex.org/W2582734987","https://openalex.org/W2798314605","https://openalex.org/W2798670728","https://openalex.org/W2903365351","https://openalex.org/W2911758669","https://openalex.org/W2949657144","https://openalex.org/W2962778872","https://openalex.org/W2963627347","https://openalex.org/W2963850211","https://openalex.org/W2963926543","https://openalex.org/W2964288609","https://openalex.org/W2984210651","https://openalex.org/W2990173985","https://openalex.org/W2993195924","https://openalex.org/W3003551007","https://openalex.org/W3034968345","https://openalex.org/W3035426517","https://openalex.org/W3035515538","https://openalex.org/W3035591705","https://openalex.org/W3048353972","https://openalex.org/W3092203888","https://openalex.org/W3105863736","https://openalex.org/W3109585842","https://openalex.org/W3177583232","https://openalex.org/W3179022832","https://openalex.org/W3195620846","https://openalex.org/W3204455502","https://openalex.org/W4288242633","https://openalex.org/W6781421651"],"related_works":["https://openalex.org/W1996671438","https://openalex.org/W2348780504","https://openalex.org/W2000112597","https://openalex.org/W2774256758","https://openalex.org/W2026859948","https://openalex.org/W2473382547","https://openalex.org/W2765253738","https://openalex.org/W4285595691","https://openalex.org/W4309710356","https://openalex.org/W4321200844"],"abstract_inverted_index":{"We":[0,110],"propose":[1],"to":[2,35,76,97],"tackle":[3],"the":[4,61,78,101,129],"multiview":[5,116],"photometric":[6,117],"stereo":[7,118],"problem":[8],"using":[9],"an":[10],"extension":[11],"of":[12,25,44,60,83,133],"Neural":[13],"Radiance":[14],"Fields":[15],"(NeRFs),":[16],"conditioned":[17],"on":[18,70,90,114],"light":[19,71,102],"source":[20,72,103],"direction.":[21],"The":[22,41],"geometric":[23],"part":[24,43,59],"our":[26,45,112],"neural":[27,46,52,130],"representation":[28,47,132],"predicts":[29],"surface":[30,39],"normal":[31],"direction,":[32],"allowing":[33,74],"us":[34,75,96],"reason":[36],"about":[37],"local":[38],"reflectance.":[40],"appearance":[42],"is":[48],"decomposed":[49],"into":[50],"a":[51,65,115,134],"bidirectional":[53],"reflectance":[54],"function":[55],"(BRDF),":[56],"learnt":[57,84],"as":[58],"fitting":[62],"process,":[63],"and":[64,104,120],"shadow":[66],"prediction":[67],"network":[68],"(conditioned":[69],"direction)":[73],"model":[77],"apparent":[79],"BRDF.":[80],"This":[81],"balance":[82],"components":[85],"with":[86,128],"inductive":[87],"biases":[88],"based":[89],"physical":[91],"image":[92],"formation":[93],"models":[94],"allows":[95],"extrapolate":[98],"far":[99],"from":[100],"viewer":[105],"directions":[106],"observed":[107],"during":[108],"training.":[109],"demonstrate":[111],"approach":[113],"benchmark":[119],"show":[121],"that":[122],"competitive":[123],"performance":[124],"can":[125],"be":[126],"obtained":[127],"density":[131],"NeRF.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
