{"id":"https://openalex.org/W4385534862","doi":"https://doi.org/10.1145/3588432.3591524","title":"NeuSample: Importance Sampling for Neural Materials","display_name":"NeuSample: Importance Sampling for Neural Materials","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4385534862","doi":"https://doi.org/10.1145/3588432.3591524"},"language":"en","primary_location":{"id":"doi:10.1145/3588432.3591524","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591524","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591524","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591524","any_repository_has_fulltext":null},"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":true,"raw_author_name":"Bing Xu","raw_affiliation_strings":["University of California San Diego, United States of America"],"raw_orcid":"https://orcid.org/0009-0005-7359-8570","affiliations":[{"raw_affiliation_string":"University of California San Diego, United States of America","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018873","display_name":"Liwen Wu","orcid":"https://orcid.org/0009-0007-2773-2032"},"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":"Liwen Wu","raw_affiliation_strings":["University of California San Diego, United States of America"],"raw_orcid":"https://orcid.org/0009-0007-2773-2032","affiliations":[{"raw_affiliation_string":"University of California San Diego, United States of America","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001293238","display_name":"Milo\u0161 Ha\u0161an","orcid":"https://orcid.org/0000-0003-3808-6092"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milos Hasan","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3808-6092","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061806060","display_name":"Fujun Luan","orcid":"https://orcid.org/0000-0001-5926-6266"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fujun Luan","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-5926-6266","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013165810","display_name":"Iliyan Georgiev","orcid":"https://orcid.org/0000-0002-9655-2138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iliyan Georgiev","raw_affiliation_strings":["Adobe Research, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9655-2138","affiliations":[{"raw_affiliation_string":"Adobe Research, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000189722","display_name":"Zexiang Xu","orcid":"https://orcid.org/0000-0002-8487-8018"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zexiang Xu","raw_affiliation_strings":["Adobe Research, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-8487-8018","affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","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, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3993-5789","affiliations":[{"raw_affiliation_string":"University of California San Diego, United States of America","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101419707"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":8.1488,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.97760539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"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":0.9998000264167786,"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":0.9998000264167786,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756014347076416},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7095160484313965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674371719360352},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5455389618873596},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5414869785308838},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.5398032665252686},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4893314242362976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3293567895889282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32196301221847534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756014347076416},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7095160484313965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674371719360352},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5455389618873596},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5414869785308838},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.5398032665252686},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4893314242362976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3293567895889282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32196301221847534},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3588432.3591524","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591524","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591524","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3588432.3591524","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3588432.3591524","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3588432.3591524","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5069546316","display_name":null,"funder_award_id":"2105806, 2212085, 2110409","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385534862.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2738170702","https://openalex.org/W2965071784","https://openalex.org/W2979652999","https://openalex.org/W3024211078","https://openalex.org/W3176006498","https://openalex.org/W3180432685","https://openalex.org/W3183623804","https://openalex.org/W4221146591","https://openalex.org/W4285981718","https://openalex.org/W4285981729"],"related_works":["https://openalex.org/W4205140848","https://openalex.org/W2068663075","https://openalex.org/W2978678743","https://openalex.org/W2797837731","https://openalex.org/W4393677513","https://openalex.org/W4390832911","https://openalex.org/W829257147","https://openalex.org/W4385302116","https://openalex.org/W3081389670","https://openalex.org/W2150344375"],"abstract_inverted_index":{"Neural":[0],"material":[1,10,50,161],"representations":[2],"have":[3],"recently":[4],"been":[5,44,54],"proposed":[6],"to":[7,37],"augment":[8],"the":[9,156],"appearance":[11],"toolbox":[12],"used":[13,149],"in":[14,47,125,150,163],"realistic":[15],"rendering.":[16],"These":[17],"models":[18,162],"are":[19],"successful":[20],"at":[21],"tasks":[22],"ranging":[23],"from":[24],"measured":[25],"BTF":[26],"compression,":[27],"through":[28],"efficient":[29],"rendering":[30,152],"of":[31,93,127,138,159],"synthetic":[32],"displaced":[33],"materials":[34],"with":[35,63],"occlusions,":[36],"BSDF":[38],"layering.":[39],"However,":[40],"importance":[41],"sampling":[42,59,84,99,128],"has":[43,53],"an":[45,64],"after-thought":[46],"most":[48],"neural":[49,87,160],"approaches,":[51],"and":[52,78,89,105,117,121,132,141,146],"handled":[55],"by":[56,76],"inefficient":[57],"cosine-hemisphere":[58],"or":[60],"mixing":[61],"it":[62],"additional":[65],"simple":[66],"analytic":[67],"lobe.":[68],"In":[69],"this":[70],"paper":[71],"we":[72,111,118],"fill":[73],"that":[74],"gap,":[75],"evaluating":[77],"comparing":[79],"various":[80],"pdf-learning":[81],"approaches":[82,124],"for":[83],"spatially":[85],"varying":[86],"materials,":[88],"proposing":[90],"new":[91],"variations":[92],"these":[94,123],"approaches.":[95],"We":[96],"investigate":[97],"three":[98],"approaches:":[100],"analytic-lobe":[101],"mixtures,":[102],"normalizing":[103,139],"flows,":[104],"histogram":[106,142],"prediction.":[107],"Within":[108],"each":[109],"type,":[110],"introduce":[112],"improvements":[113],"beyond":[114],"previous":[115],"work,":[116],"extensively":[119],"evaluate":[120],"compare":[122],"terms":[126],"rate,":[129],"wall-clock":[130],"time,":[131],"final":[133],"visual":[134],"quality.":[135],"Our":[136],"versions":[137],"flows":[140],"mixtures":[143],"perform":[144],"well":[145],"can":[147],"be":[148],"practical":[151],"systems,":[153],"potentially":[154],"facilitating":[155],"broader":[157],"adoption":[158],"production.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}