{"id":"https://openalex.org/W3215927878","doi":"https://doi.org/10.1109/cvpr52688.2022.00810","title":"Extracting Triangular 3D Models, Materials, and Lighting From Images","display_name":"Extracting Triangular 3D Models, Materials, and Lighting From Images","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W3215927878","doi":"https://doi.org/10.1109/cvpr52688.2022.00810","mag":"3215927878"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52688.2022.00810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00810","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5076340798","display_name":"Jacob Munkberg","orcid":"https://orcid.org/0009-0004-0451-7442"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jacob Munkberg","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010254581","display_name":"Wenzheng Chen","orcid":"https://orcid.org/0009-0008-5623-1963"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wenzheng Chen","raw_affiliation_strings":["NVIDIA","Vector Institute","University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084897748","display_name":"Jon Hasselgren","orcid":"https://orcid.org/0009-0002-3423-190X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jon Hasselgren","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619863","display_name":"Alex Evans","orcid":"https://orcid.org/0000-0002-0856-050X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Evans","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067175461","display_name":"Tianchang Shen","orcid":"https://orcid.org/0000-0002-7133-2761"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tianchang Shen","raw_affiliation_strings":["NVIDIA","Vector Institute","University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661927","display_name":"Thomas M\u00fcller","orcid":"https://orcid.org/0000-0001-7577-755X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Muller","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169259","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0002-3521-0417"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]},{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["NVIDIA","Vector Institute","University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070642269","display_name":"Sanja Fidler","orcid":"https://orcid.org/0000-0003-1040-3260"},"institutions":[{"id":"https://openalex.org/I4210127509","display_name":"Vector Institute","ror":"https://ror.org/03kqdja62","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210127509"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sanja Fidler","raw_affiliation_strings":["NVIDIA","Vector Institute","University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]},{"raw_affiliation_string":"Vector Institute","institution_ids":["https://openalex.org/I4210127509"]},{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5076340798"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":25.0622,"has_fulltext":false,"cited_by_count":307,"citation_normalized_percentile":{"value":0.98901099,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"8270","last_page":"8280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9991999864578247,"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/polygon-mesh","display_name":"Polygon mesh","score":0.7585653066635132},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.7287686467170715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718986451625824},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6675340533256531},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5905832052230835},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5239149332046509},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46904000639915466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44490674138069153},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4169730842113495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17818400263786316}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.7585653066635132},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.7287686467170715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718986451625824},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6675340533256531},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5905832052230835},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5239149332046509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46904000639915466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44490674138069153},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4169730842113495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17818400263786316},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52688.2022.00810","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52688.2022.00810","pdf_url":null,"source":{"id":"https://openalex.org/S4363607701","display_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W83557104","https://openalex.org/W180855370","https://openalex.org/W1486787228","https://openalex.org/W1522301498","https://openalex.org/W1965235031","https://openalex.org/W1992642990","https://openalex.org/W2017870736","https://openalex.org/W2085905957","https://openalex.org/W2104587129","https://openalex.org/W2105096195","https://openalex.org/W2129404737","https://openalex.org/W2150775388","https://openalex.org/W2156598602","https://openalex.org/W2163446794","https://openalex.org/W2229412420","https://openalex.org/W2242654827","https://openalex.org/W2267893120","https://openalex.org/W2402026173","https://openalex.org/W2519683295","https://openalex.org/W2798670728","https://openalex.org/W2903365351","https://openalex.org/W2958302123","https://openalex.org/W2964121744","https://openalex.org/W2964472976","https://openalex.org/W2970086547","https://openalex.org/W2985388077","https://openalex.org/W2986023562","https://openalex.org/W2990173985","https://openalex.org/W3000666251","https://openalex.org/W3011537551","https://openalex.org/W3015046124","https://openalex.org/W3034964128","https://openalex.org/W3034968345","https://openalex.org/W3035359232","https://openalex.org/W3035530517","https://openalex.org/W3035689535","https://openalex.org/W3048093719","https://openalex.org/W3048668559","https://openalex.org/W3090135481","https://openalex.org/W3090531178","https://openalex.org/W3092948912","https://openalex.org/W3094669937","https://openalex.org/W3105974636","https://openalex.org/W3106148219","https://openalex.org/W3106672182","https://openalex.org/W3109585842","https://openalex.org/W3109842170","https://openalex.org/W3113347918","https://openalex.org/W3121147178","https://openalex.org/W3130983693","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3156950014","https://openalex.org/W3159981575","https://openalex.org/W3167294693","https://openalex.org/W3170344659","https://openalex.org/W3171145773","https://openalex.org/W3175488633","https://openalex.org/W3176179930","https://openalex.org/W3177583232","https://openalex.org/W3183274607","https://openalex.org/W3183914520","https://openalex.org/W3186415513","https://openalex.org/W3195620846","https://openalex.org/W3202037070","https://openalex.org/W3203806429","https://openalex.org/W3204326360","https://openalex.org/W3204455502","https://openalex.org/W3209994844","https://openalex.org/W3213433499","https://openalex.org/W3213521920","https://openalex.org/W3213840695","https://openalex.org/W3214230846","https://openalex.org/W4206514871","https://openalex.org/W4214661523","https://openalex.org/W4221151978","https://openalex.org/W4233857083","https://openalex.org/W4245933748","https://openalex.org/W4286892467","https://openalex.org/W4297812694","https://openalex.org/W6631190155","https://openalex.org/W6765978013","https://openalex.org/W6784133018","https://openalex.org/W6784729325","https://openalex.org/W6785162694","https://openalex.org/W6794488891","https://openalex.org/W6797770180","https://openalex.org/W6803410826","https://openalex.org/W6803908784"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W4285277090","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2085564391","https://openalex.org/W2108615321","https://openalex.org/W1984758362","https://openalex.org/W2044956415"],"abstract_inverted_index":{"We":[0,52],"present":[1],"an":[2],"efficient":[3],"method":[4],"for":[5],"joint":[6],"optimization":[7,73],"of":[8,85,90],"topology,":[9],"materials":[10,38],"and":[11,39,110,124],"lighting":[12,41,92],"from":[13],"multi-view":[14,19],"image":[15],"observations.":[16],"Unlike":[17],"recent":[18,54],"reconstruction":[20],"approaches,":[21],"which":[22],"typically":[23],"produce":[24],"entangled":[25],"3D":[26],"representations":[27],"encoded":[28],"in":[29,46,56,104,120],"neural":[30],"networks,":[31],"we":[32,80],"output":[33],"triangle":[34],"meshes":[35],"with":[36],"spatially-varying":[37],"environment":[40,91],"that":[42],"can":[43],"be":[44],"deployed":[45],"any":[47],"traditional":[48],"graphics":[49],"engine":[50],"unmodified.":[51],"leverage":[53],"work":[55],"differentiable":[57,67,83],"rendering,":[58],"coordinate-based":[59],"networks":[60],"to":[61,70,93],"compactly":[62],"represent":[63],"volumetric":[64],"texturing,":[65],"alongside":[66],"marching":[68],"tetrahedrons":[69],"enable":[71],"gradient-based":[72],"directly":[74],"on":[75],"the":[76,86],"surface":[77],"mesh.":[78],"Finally,":[79],"introduce":[81],"a":[82],"formulation":[84],"split":[87],"sum":[88],"approximation":[89],"efficiently":[94],"recover":[95],"all-frequency":[96],"lighting.":[97],"Experiments":[98],"show":[99],"our":[100],"extracted":[101],"models":[102],"used":[103],"advanced":[105],"scene":[106],"editing,":[107],"material":[108],"decomposition,":[109],"high":[111],"quality":[112],"view":[113],"interpolation,":[114],"all":[115],"running":[116],"at":[117],"interactive":[118],"rates":[119],"triangle-based":[121],"renderers":[122],"(rasterizers":[123],"path":[125],"tracers).":[126]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":96},{"year":2024,"cited_by_count":103},{"year":2023,"cited_by_count":87},{"year":2022,"cited_by_count":12}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}