{"id":"https://openalex.org/W4386841595","doi":"https://doi.org/10.1145/3610548.3618203","title":"Efficient Graphics Representation with Differentiable Indirection","display_name":"Efficient Graphics Representation with Differentiable Indirection","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4386841595","doi":"https://doi.org/10.1145/3610548.3618203"},"language":"en","primary_location":{"id":"doi:10.1145/3610548.3618203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.08387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071148847","display_name":"Sayantan Datta","orcid":"https://orcid.org/0000-0001-6858-5816"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Sayantan Datta","raw_affiliation_strings":["McGill University, Canada and Meta, USA"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada and Meta, USA","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082765230","display_name":"Carl Marshall","orcid":"https://orcid.org/0009-0001-7288-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carl Marshall","raw_affiliation_strings":["Meta, United States of America"],"affiliations":[{"raw_affiliation_string":"Meta, United States of America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366131","display_name":"Zhao Dong","orcid":"https://orcid.org/0000-0002-9026-6886"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao Dong","raw_affiliation_strings":["Meta, United States of America"],"affiliations":[{"raw_affiliation_string":"Meta, United States of America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060452999","display_name":"Zhengqin Li","orcid":"https://orcid.org/0000-0003-0868-2141"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengqin Li","raw_affiliation_strings":["Meta, United States of America"],"affiliations":[{"raw_affiliation_string":"Meta, United States of America","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053824527","display_name":"Derek Nowrouzezahrai","orcid":"https://orcid.org/0000-0002-4279-1774"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Derek Nowrouzezahrai","raw_affiliation_strings":["McGill University, Canada and Meta, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada and Meta, Canada","institution_ids":["https://openalex.org/I5023651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071148847"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":1.9833,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90931732,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"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":0.9983999729156494,"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":0.9983999729156494,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/indirection","display_name":"Indirection","score":0.9618736505508423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7256007790565491},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.667823076248169},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.5650786757469177},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.56029212474823},{"id":"https://openalex.org/keywords/shader","display_name":"Shader","score":0.5352692604064941},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5228753089904785},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.4801487326622009},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37354302406311035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33255019783973694},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.21845486760139465},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.20621103048324585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13700681924819946}],"concepts":[{"id":"https://openalex.org/C89377073","wikidata":"https://www.wikidata.org/wiki/Q1171224","display_name":"Indirection","level":2,"score":0.9618736505508423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7256007790565491},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.667823076248169},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.5650786757469177},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.56029212474823},{"id":"https://openalex.org/C177681979","wikidata":"https://www.wikidata.org/wiki/Q633182","display_name":"Shader","level":3,"score":0.5352692604064941},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5228753089904785},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.4801487326622009},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37354302406311035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33255019783973694},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.21845486760139465},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.20621103048324585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13700681924819946},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3610548.3618203","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610548.3618203","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2309.08387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.08387","pdf_url":"https://arxiv.org/pdf/2309.08387","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.08387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.08387","pdf_url":"https://arxiv.org/pdf/2309.08387","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5603132984","display_name":null,"funder_award_id":"290745","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W206332823","https://openalex.org/W2076063813","https://openalex.org/W2099583675","https://openalex.org/W2135879701","https://openalex.org/W2229412420","https://openalex.org/W2295329974","https://openalex.org/W3143776250","https://openalex.org/W3167292039","https://openalex.org/W3176679482","https://openalex.org/W3179416528","https://openalex.org/W3184957317","https://openalex.org/W3204455502","https://openalex.org/W3209994844","https://openalex.org/W3215589927","https://openalex.org/W4200420145","https://openalex.org/W4221151978","https://openalex.org/W4281489584","https://openalex.org/W4283034080","https://openalex.org/W4285981775","https://openalex.org/W4286892467","https://openalex.org/W4312325284","https://openalex.org/W4312980099","https://openalex.org/W4385275578","https://openalex.org/W6792771091"],"related_works":["https://openalex.org/W2147270340","https://openalex.org/W744497305","https://openalex.org/W2132794636","https://openalex.org/W2981693697","https://openalex.org/W2055923388","https://openalex.org/W2077893750","https://openalex.org/W576960074","https://openalex.org/W2058044347","https://openalex.org/W2042696669","https://openalex.org/W3160595024"],"abstract_inverted_index":{"We":[0,29],"introduce":[1],"differentiable":[2,11,54],"indirection":[3,55],"\u2013":[4],"a":[5,34],"novel":[6],"learned":[7],"primitive":[8],"that":[9],"employs":[10],"multi-scale":[12],"lookup":[13],"tables":[14],"as":[15],"an":[16],"effective":[17],"substitute":[18],"for":[19],"traditional":[20],"compute":[21],"and":[22,41,47,63,67],"data":[23],"operations":[24],"across":[25],"the":[26],"graphics":[27,37],"pipeline.":[28],"demonstrate":[30],"its":[31],"flexibility":[32],"on":[33],"number":[35],"of":[36],"tasks,":[38],"i.e.,":[39],"geometric":[40],"image":[42],"representation,":[43],"texture":[44],"mapping,":[45],"shading,":[46],"radiance":[48],"field":[49],"representation.":[50],"In":[51],"all":[52],"cases,":[53],"seamlessly":[56],"integrates":[57],"into":[58],"existing":[59],"architectures,":[60],"trains":[61],"rapidly,":[62],"yields":[64],"both":[65],"versatile":[66],"efficient":[68],"results.":[69]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}