{"id":"https://openalex.org/W4416055830","doi":"https://doi.org/10.1145/3799902.3811095","title":"A Generalizable Light Transport 3D Embedding for Global Illumination","display_name":"A Generalizable Light Transport 3D Embedding for Global Illumination","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W4416055830","doi":"https://doi.org/10.1145/3799902.3811095"},"language":null,"primary_location":{"id":"doi:10.1145/3799902.3811095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811095","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3799902.3811095","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101419707","display_name":"Bing Xu","orcid":"https://orcid.org/0009-0005-7359-8570"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Xu","raw_affiliation_strings":["University of California San Diego, La Jolla, USA and NVIDIA, Redmond, USA"],"raw_orcid":"https://orcid.org/0009-0005-7359-8570","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, USA and NVIDIA, Redmond, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021878086","display_name":"Mukund Varma T","orcid":"https://orcid.org/0000-0001-6480-3126"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mukund Varma T","raw_affiliation_strings":["University of California San Diego, La Jolla, USA"],"raw_orcid":"https://orcid.org/0000-0001-6480-3126","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618101","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0003-2917-877X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["University of California San Diego, La Jolla, USA"],"raw_orcid":"https://orcid.org/0009-0009-7630-3474","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030293104","display_name":"Tzu\u2010Mao Li","orcid":"https://orcid.org/0000-0001-5443-470X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tzu-mao Li","raw_affiliation_strings":["University of California San Diego, La Jolla, USA"],"raw_orcid":"https://orcid.org/0000-0001-5443-470X","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103247251","display_name":"Lifan Wu","orcid":"https://orcid.org/0000-0002-5735-0998"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifan Wu","raw_affiliation_strings":["NVIDIA, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-5735-0998","affiliations":[{"raw_affiliation_string":"NVIDIA, Redmond, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037786770","display_name":"Bartlomiej Wronski","orcid":"https://orcid.org/0009-0005-0806-2307"},"institutions":[{"id":"https://openalex.org/I1304085615","display_name":"Nvidia (United Kingdom)","ror":"https://ror.org/02kr42612","country_code":"GB","type":"company","lineage":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Bartlomiej Wronski","raw_affiliation_strings":["NVIDIA, New York, USA"],"raw_orcid":"https://orcid.org/0009-0005-0806-2307","affiliations":[{"raw_affiliation_string":"NVIDIA, New York, USA","institution_ids":["https://openalex.org/I1304085615","https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034754633","display_name":"Ravi Ramamoorthi","orcid":"https://orcid.org/0000-0003-3993-5789"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Ramamoorthi","raw_affiliation_strings":["University of California San Diego, La Jolla, USA"],"raw_orcid":"https://orcid.org/0000-0003-3993-5789","affiliations":[{"raw_affiliation_string":"University of California San Diego, La Jolla, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090733850","display_name":"Marco Salvi","orcid":"https://orcid.org/0009-0003-1366-2396"},"institutions":[{"id":"https://openalex.org/I4210127875","display_name":"Nvidia (United States)","ror":"https://ror.org/03jdj4y14","country_code":"US","type":"company","lineage":["https://openalex.org/I4210127875"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Salvi","raw_affiliation_strings":["NVIDIA, Seattle, USA"],"raw_orcid":"https://orcid.org/0009-0003-1366-2396","affiliations":[{"raw_affiliation_string":"NVIDIA, Seattle, USA","institution_ids":["https://openalex.org/I4210127875","https://openalex.org/I58610484"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.927299976348877,"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":0.927299976348877,"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":0.03840000182390213,"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":0.01899999938905239,"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/global-illumination","display_name":"Global illumination","score":0.7924000024795532},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7820000052452087},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.6819000244140625},{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6226000189781189},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6200000047683716},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4636000096797943},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.43459999561309814},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4131999909877777}],"concepts":[{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.7924000024795532},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7820000052452087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461000084877014},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.6819000244140625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6398000121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633400022983551},{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6226000189781189},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6200000047683716},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4636000096797943},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4131999909877777},{"id":"https://openalex.org/C204060014","wikidata":"https://www.wikidata.org/wiki/Q6002069","display_name":"Image-based lighting","level":4,"score":0.3799999952316284},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.2879999876022339},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3799902.3811095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811095","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.18189","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.18189","pdf_url":"https://arxiv.org/pdf/2510.18189","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arXiv.org:2510.18189","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2510.18189","pdf_url":"https://arxiv.org/pdf/2510.18189","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.18189","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.18189","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3799902.3811095","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811095","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3101190323","display_name":"Collaborative Research: HCC: Medium: Differentiable Rendering for Computer Graphics","funder_award_id":"2105806","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3578870676","display_name":"Collaborative Research: HCC: Medium: Neural Materials for Realistic Computer Graphics","funder_award_id":"2212085","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5665456810","display_name":"CCRI: ABR: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)","funder_award_id":"2100237","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6878325487","display_name":"RI: Small: Panoptic 3D Parsing in the Wild","funder_award_id":"2127544","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G898084569","display_name":"CCRI: ENS: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI)","funder_award_id":"2120019","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Global":[0],"illumination":[1,56,66],"(GI)":[2],"is":[3],"essential":[4],"for":[5,182],"realism":[6],"but":[7],"remains":[8],"computationally":[9],"expensive.":[10],"While":[11],"per-scene":[12,68],"neural":[13,27],"methods":[14,29],"lack":[15],"generalization":[16],"and":[17,151,185],"screen-space":[18,71],"approaches":[19],"inherently":[20],"suffer":[21],"from":[22,58,82],"view":[23],"inconsistency,":[24],"prior":[25,119],"3D":[26,51,59,137],"rendering":[28,131,153,190],"face":[30],"a":[31,47,75,89,126],"severe":[32],"scalability":[33],"barrier,":[34],"restricting":[35],"them":[36],"to":[37,78,92,100,146,188],"small,":[38],"object-centric":[39],"meshes.":[40],"To":[41,121],"overcome":[42],"these":[43],"trade-offs,":[44],"we":[45,124],"introduce":[46],"generalizable":[48,109],"light":[49,95],"transport":[50],"embedding":[52,81],"that":[53],"predicts":[54],"global":[55],"directly":[57],"scene":[60,85,147],"configurations":[61],"without":[62,154],"rasterized":[63],"or":[64,70],"path-traced":[65],"cues,":[67],"retraining":[69],"limitations.":[72],"We":[73,163],"employ":[74],"point-based":[76],"representation":[77],"decouple":[79],"our":[80],"the":[83,107,155,169],"original":[84],"topology,":[86],"then":[87],"utilize":[88],"linear-complexity":[90],"transformer":[91],"encode":[93],"long-range":[94],"transport.":[96],"This":[97,139],"design":[98],"scales":[99],"environments":[101],"with":[102,171],"millions":[103],"of":[104,159],"triangles,":[105],"enabling":[106],"first":[108],"GI":[110],"learning":[111],"on":[112,177],"complex,":[113],"high-fidelity":[114],"indoor":[115],"scenes,":[116],"far":[117],"beyond":[118],"limits.":[120],"achieve":[122],"this,":[123],"enforce":[125],"local":[127],"query":[128],"mechanism":[129],"where":[130],"queries":[132],"are":[133],"processed":[134],"independently":[135],"under":[136],"supervision.":[138],"ensures":[140],"constant":[141],"complexity":[142],"per":[143],"pixel":[144],"relative":[145],"size,":[148],"yielding":[149],"view-consistent":[150],"resolution-agnostic":[152],"memory":[156],"bottlenecks":[157],"typical":[158],"globally":[160],"coupled":[161],"attention.":[162],"further":[164],"demonstrate":[165],"versatility":[166],"by":[167],"re-targeting":[168],"encoder":[170],"limited":[172],"fine-tuning,":[173],"presenting":[174],"preliminary":[175],"results":[176],"spatial-directional":[178],"radiance":[179],"field":[180],"prediction":[181],"glossy":[183],"materials":[184],"validating":[186],"transfer":[187],"downstream":[189],"tasks.":[191]},"counts_by_year":[],"updated_date":"2026-07-18T05:51:51.687321","created_date":"2025-10-24T00:00:00"}