{"id":"https://openalex.org/W4412596333","doi":"https://doi.org/10.1145/3721238.3730751","title":"Generative detail enhancement for physically based materials","display_name":"Generative detail enhancement for physically based materials","publication_year":2025,"publication_date":"2025-07-23","ids":{"openalex":"https://openalex.org/W4412596333","doi":"https://doi.org/10.1145/3721238.3730751"},"language":"en","primary_location":{"id":"doi:10.1145/3721238.3730751","doi":"https://doi.org/10.1145/3721238.3730751","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721238.3730751","pdf_url":null,"source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3721238.3730751","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027589736","display_name":"Saeed Hadadan","orcid":"https://orcid.org/0000-0003-1614-9531","observed_orcids":["https://orcid.org/0000-0003-1614-9531"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saeed Hadadan","raw_affiliation_strings":["University of Maryland College Park, College Park, MD, USA and NVIDIA Research, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1614-9531","affiliations":[{"raw_affiliation_string":"University of Maryland College Park, College Park, MD, USA and NVIDIA Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079958610","display_name":"Benedikt Bitterli","orcid":"https://orcid.org/0000-0002-8799-7119","observed_orcids":["https://orcid.org/0000-0002-8799-7119"]},"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":"Benedikt Bitterli","raw_affiliation_strings":["NVIDIA Research, Redmond, WA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8799-7119","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010255059","display_name":"Tizian Zeltner","orcid":"https://orcid.org/0000-0002-6434-465X","observed_orcids":["https://orcid.org/0000-0002-6434-465X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tizian Zeltner","raw_affiliation_strings":["NVIDIA Research, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-6434-465X","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050969104","display_name":"Jan Nov\u00e1k","orcid":"https://orcid.org/0000-0002-8320-9584","observed_orcids":["https://orcid.org/0000-0002-8320-9584"]},"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":"Jan Nov\u00e1k","raw_affiliation_strings":["NVIDIA Research, Prague, Czech Republic"],"raw_orcid":"https://orcid.org/0000-0002-8320-9584","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037043205","display_name":"Fabrice Rousselle","orcid":"https://orcid.org/0009-0003-2978-2130","observed_orcids":["https://orcid.org/0009-0003-2978-2130"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabrice Rousselle","raw_affiliation_strings":["NVIDIA Research, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0003-2978-2130","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Zurich, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076340798","display_name":"Jacob Munkberg","orcid":"https://orcid.org/0009-0004-0451-7442","observed_orcids":["https://orcid.org/0009-0004-0451-7442"]},"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":"Jacob Munkberg","raw_affiliation_strings":["NVIDIA Research, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0009-0004-0451-7442","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Stockholm, Sweden","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084897748","display_name":"Jon Hasselgren","orcid":"https://orcid.org/0009-0002-3423-190X","observed_orcids":["https://orcid.org/0009-0002-3423-190X"]},"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":"Jon Hasselgren","raw_affiliation_strings":["NVIDIA Research, Stockholm, Sweden"],"raw_orcid":"https://orcid.org/0009-0002-3423-190X","affiliations":[{"raw_affiliation_string":"NVIDIA Research, Stockholm, Sweden","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","observed_orcids":["https://orcid.org/0009-0005-0806-2307"]},"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":"Bartlomiej Wronski","raw_affiliation_strings":["NVIDIA Research, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0005-0806-2307","affiliations":[{"raw_affiliation_string":"NVIDIA Research, New York, NY, USA","institution_ids":["https://openalex.org/I4210127875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014079156","display_name":"Matthias Zwicker","orcid":"https://orcid.org/0000-0001-8630-5515","observed_orcids":["https://orcid.org/0000-0001-8630-5515"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Zwicker","raw_affiliation_strings":["University of Maryland College Park, College Park, MD, USA"],"raw_orcid":"https://orcid.org/0000-0001-8630-5515","affiliations":[{"raw_affiliation_string":"University of Maryland College Park, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2609,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.80318121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9307000041007996,"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":0.9307000041007996,"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":0.03779999911785126,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.028300000354647636,"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/diffusion-models","display_name":"diffusion models","score":0.8659999966621399},{"id":"https://openalex.org/keywords/inverse-rendering","display_name":"inverse rendering","score":0.8320000171661377},{"id":"https://openalex.org/keywords/differentiable-rendering","display_name":"differentiable rendering","score":0.8109999895095825},{"id":"https://openalex.org/keywords/pbr-textures","display_name":"PBR textures","score":0.6679999828338623},{"id":"https://openalex.org/keywords/multi-view-consistency","display_name":"multi-view consistency","score":0.8109999895095825},{"id":"https://openalex.org/keywords/text-to-image-generation","display_name":"text-to-image generation","score":0.6570000052452087},{"id":"https://openalex.org/keywords/texture-editing","display_name":"texture editing","score":0.36000001430511475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722232699394226},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5923725366592407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4509727656841278}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3721238.3730751","doi":"https://doi.org/10.1145/3721238.3730751","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721238.3730751","pdf_url":null,"source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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:2502.13994","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.13994","pdf_url":"https://arxiv.org/pdf/2502.13994","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2502.13994","doi":"https://doi.org/10.48550/arxiv.2502.13994","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2502.13994","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1145/3721238.3730751","doi":"https://doi.org/10.1145/3721238.3730751","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3721238.3730751","pdf_url":null,"source":{"id":"https://openalex.org/S7407086393","display_name":"ACM SIGGRAPH Conference (SIGGRAPH)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G7937568010","display_name":"HCC: Small: Neural Network-based Solvers for Integral Equations in Light Transport","funder_award_id":"2126407","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":53,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W2038630728","https://openalex.org/W2612690371","https://openalex.org/W2970971581","https://openalex.org/W2979826702","https://openalex.org/W2990138404","https://openalex.org/W2999388423","https://openalex.org/W4224035735","https://openalex.org/W4226001818","https://openalex.org/W4288099666","https://openalex.org/W4310895557","https://openalex.org/W4312349930","https://openalex.org/W4312933868","https://openalex.org/W4379137935","https://openalex.org/W4385527149","https://openalex.org/W4385537219","https://openalex.org/W4386043473","https://openalex.org/W4386065887","https://openalex.org/W4386075660","https://openalex.org/W4386076532","https://openalex.org/W4386113271","https://openalex.org/W4386395766","https://openalex.org/W4389115686","https://openalex.org/W4389501323","https://openalex.org/W4390871736","https://openalex.org/W4390872205","https://openalex.org/W4390873054","https://openalex.org/W4390873542","https://openalex.org/W4392538976","https://openalex.org/W4396812217","https://openalex.org/W4396823824","https://openalex.org/W4400573495","https://openalex.org/W4400582092","https://openalex.org/W4400821061","https://openalex.org/W4400957484","https://openalex.org/W4401917881","https://openalex.org/W4402716163","https://openalex.org/W4402716373","https://openalex.org/W4402727510","https://openalex.org/W4402727623","https://openalex.org/W4402753842","https://openalex.org/W4402951568","https://openalex.org/W4403571394","https://openalex.org/W4404004571","https://openalex.org/W4404965297","https://openalex.org/W4404965837","https://openalex.org/W4405252387","https://openalex.org/W4413147835","https://openalex.org/W4415796146","https://openalex.org/W4415796287","https://openalex.org/W7133190699","https://openalex.org/W7133204056","https://openalex.org/W7133227460"],"related_works":["https://openalex.org/W4390578006","https://openalex.org/W7169174757","https://openalex.org/W4400821061","https://openalex.org/W7138949440","https://openalex.org/W7160061040","https://openalex.org/W7138856873","https://openalex.org/W7221148975","https://openalex.org/W7117110295","https://openalex.org/W4415708254","https://openalex.org/W4395443286"],"abstract_inverted_index":{"We":[0,92,143],"present":[1],"a":[2,58,64,77,104,177,192],"tool":[3],"for":[4],"enhancing":[5],"the":[6,25,90,115,119,132,141,149,153,160,165,188,218,224,229],"detail":[7,31],"of":[8,28,41,67,89,152,217,223],"physically":[9],"based":[10],"materials":[11,29],"using":[12],"an":[13,98],"off-the-shelf":[14],"diffusion":[15,105,154,166,219],"model":[16,61,226],"and":[17,82,228],"inverse":[18,123,127],"rendering.":[19,125],"Our":[20,208],"goal":[21],"is":[22,33,168,221,245],"to":[23,36,102,118,129,136,147,200],"enhance":[24],"visual":[26],"fidelity":[27],"with":[30,70,76,97],"that":[32,159,163,196],"often":[34,51],"tedious":[35],"author,":[37],"by":[38,173,186,241],"adding":[39],"signs":[40],"wear,":[42],"aging,":[43],"weathering,":[44],"etc.":[45],"As":[46],"these":[47,94],"appearance":[48,134],"details":[49,108],"are":[50,111],"rooted":[52],"in":[53,73,205],"real-world":[54],"processes,":[55],"we":[56,85,157,182],"leverage":[57],"generative":[59],"image":[60],"trained":[62],"on":[63],"large":[65],"dataset":[66],"natural":[68],"images":[69,117],"corresponding":[71,202],"visuals":[72],"context.":[74],"Starting":[75],"given":[78],"geometry,":[79],"UV":[80,179],"mapping,":[81],"basic":[83],"appearance,":[84],"render":[86],"multiple":[87],"views":[88,172],"object.":[91],"use":[93],"views,":[95],"together":[96],"appearance-defining":[99],"text":[100],"prompt,":[101],"condition":[103],"model.":[106,155],"The":[107],"it":[109,175],"generates":[110],"then":[112],"backpropagated":[113],"from":[114,176],"enhanced":[116,230],"material":[120,225,231],"parameters":[121],"via":[122,191],"differentiable":[124],"For":[126],"rendering":[128],"be":[130,137,238],"successful,":[131],"generated":[133],"has":[135],"consistent":[138,170],"across":[139,171],"all":[140],"images.":[142],"propose":[144],"two":[145],"priors":[146],"address":[148],"multi-view":[150],"consistency":[151,185],"First,":[156],"ensure":[158],"initial":[161],"noise":[162],"seeds":[164],"process":[167],"itself":[169],"integrating":[174],"view-independent":[178],"space.":[180],"Second,":[181],"enforce":[183],"geometric":[184],"biasing":[187],"attention":[189],"mechanism":[190],"projective":[193],"constraint":[194],"so":[195],"pixels":[197],"attend":[198],"strongly":[199],"their":[201],"pixel":[203],"locations":[204],"other":[206],"views.":[207],"approach":[209],"does":[210],"not":[211],"require":[212],"any":[213],"training":[214],"or":[215],"finetuning":[216],"model,":[220],"agnostic":[222],"used,":[227],"properties,":[232],"i.e.,":[233],"2D":[234],"PBR":[235],"textures,":[236],"can":[237],"further":[239],"edited":[240],"artists.":[242],"This":[243],"project":[244],"available":[246],"at":[247],"https://generative-detail.github.io.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-10T00:00:00"}