{"id":"https://openalex.org/W7167279345","doi":"https://doi.org/10.1145/3811343","title":"Efficient Fur and Hair Multiple Scattering Using Volumetric Approximation","display_name":"Efficient Fur and Hair Multiple Scattering Using Volumetric Approximation","publication_year":2026,"publication_date":"2026-07-03","ids":{"openalex":"https://openalex.org/W7167279345","doi":"https://doi.org/10.1145/3811343"},"language":"en","primary_location":{"id":"doi:10.1145/3811343","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811343","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3811343","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140000847","display_name":"Ruike Hu","orcid":"https://orcid.org/0009-0006-6908-6609"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruike Hu","raw_affiliation_strings":["Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0006-6908-6609","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103081292","display_name":"Junqiu Zhu","orcid":"https://orcid.org/0000-0002-8736-6317"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqiu Zhu","raw_affiliation_strings":["Shandong University, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-8736-6317","affiliations":[{"raw_affiliation_string":"Shandong University, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139964705","display_name":"Minghao Lin","orcid":"https://orcid.org/0009-0002-7147-0862"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Lin","raw_affiliation_strings":["Shandong University, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0002-7147-0862","affiliations":[{"raw_affiliation_string":"Shandong University, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139845962","display_name":"R S Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruian Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0009-0007-3604-0740","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103042521","display_name":"Lu Wang","orcid":"https://orcid.org/0009-0006-7964-0650"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["Shandong University, Shandong, China"],"raw_orcid":"https://orcid.org/0009-0006-7964-0650","affiliations":[{"raw_affiliation_string":"Shandong University, Shandong, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042385843","display_name":"Jie Guo","orcid":"https://orcid.org/0000-0002-4176-7617"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Guo","raw_affiliation_strings":["Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4176-7617","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009275869","display_name":"Yanwen Guo","orcid":"https://orcid.org/0000-0002-7605-5206"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwen Guo","raw_affiliation_strings":["Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-7605-5206","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756588","display_name":"Ling\u2010Qi Yan","orcid":"https://orcid.org/0000-0002-9379-094X"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Lingqi Yan","raw_affiliation_strings":["MBZUAI, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-9379-094X","affiliations":[{"raw_affiliation_string":"MBZUAI, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.92571153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"4","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":0.9627000093460083,"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":0.9627000093460083,"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":0.01600000075995922,"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/T11019","display_name":"Image Enhancement Techniques","score":0.007499999832361937,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7447999715805054},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.673799991607666},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.5188000202178955},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.47279998660087585},{"id":"https://openalex.org/keywords/light-scattering","display_name":"Light scattering","score":0.4287000000476837},{"id":"https://openalex.org/keywords/forward-scatter","display_name":"Forward scatter","score":0.3824000060558319},{"id":"https://openalex.org/keywords/anisotropy","display_name":"Anisotropy","score":0.3767000138759613}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7447999715805054},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.673799991607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542900025844574},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.5188000202178955},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.4415999948978424},{"id":"https://openalex.org/C120456961","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Light scattering","level":3,"score":0.4287000000476837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40720000863075256},{"id":"https://openalex.org/C54644633","wikidata":"https://www.wikidata.org/wiki/Q5473287","display_name":"Forward scatter","level":3,"score":0.3824000060558319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38100001215934753},{"id":"https://openalex.org/C85725439","wikidata":"https://www.wikidata.org/wiki/Q466686","display_name":"Anisotropy","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.3479999899864197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C73301696","wikidata":"https://www.wikidata.org/wiki/Q5469984","display_name":"Formalism (music)","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C129045301","wikidata":"https://www.wikidata.org/wiki/Q7144654","display_name":"Path length","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.2768999934196472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27480000257492065},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3811343","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811343","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3811343","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3811343","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1759101807","display_name":null,"funder_award_id":"62272275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8709562015","display_name":null,"funder_award_id":"62502285","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1973264016","https://openalex.org/W2041663767","https://openalex.org/W2048503982","https://openalex.org/W2051483524","https://openalex.org/W2054157193","https://openalex.org/W2056867012","https://openalex.org/W2061530735","https://openalex.org/W2062162286","https://openalex.org/W2073278071","https://openalex.org/W2112622024","https://openalex.org/W2114709034","https://openalex.org/W2149725090","https://openalex.org/W2155897676","https://openalex.org/W2346557393","https://openalex.org/W2397324050","https://openalex.org/W2540086564","https://openalex.org/W2589222254","https://openalex.org/W2737053921","https://openalex.org/W2770597203","https://openalex.org/W2968883295","https://openalex.org/W2982799526","https://openalex.org/W3003818647","https://openalex.org/W3107057358","https://openalex.org/W3205538192","https://openalex.org/W4243817721","https://openalex.org/W4286611265"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,84],"propose":[4],"an":[5,72],"efficient":[6],"method":[7,131],"for":[8,38,43,68,105,155],"hair":[9,34,81,114,137],"and":[10,60,120,138],"fur":[11,61,139],"rendering":[12,82],"that":[13,162],"approximates":[14],"multiple":[15,142],"scattering":[16,32,59],"as":[17,57,88],"volumetric":[18,80,97],"light":[19],"transport,":[20],"achieving":[21],"near":[22],"path-traced":[23],"visual":[24],"fidelity":[25],"at":[26],"a":[27,39,89,123,168],"drastically":[28],"reduced":[29],"cost.":[30],"Multiple":[31],"among":[33],"fibers":[35],"is":[36,48,165],"crucial":[37],"realistic":[40],"appearance,":[41],"especially":[42],"light-colored":[44],"hair,":[45],"but":[46,65],"it":[47,153],"extremely":[49],"expensive":[50],"to":[51,94,108,126],"simulate":[52],"directly.":[53],"Prior":[54],"approximations,":[55],"such":[56],"dual":[58],"BSSRDF,":[62],"improve":[63],"performance":[64],"often":[66],"fail":[67],"dense":[69,86],"hair/fur,":[70],"yielding":[71],"overly":[73],"dry":[74],"or":[75],"blurred":[76],"appearance.":[77],"Unlike":[78],"previous":[79],"solutions,":[83],"treat":[85],"hair/fur":[87],"highly":[90],"anisotropic":[91],"participating":[92],"medium":[93],"capture":[95],"soft":[96],"illumination,":[98],"while":[99,144],"still":[100],"using":[101],"explicit":[102],"fiber":[103,115],"geometry":[104],"direct":[106],"lighting":[107,171],"preserve":[109],"fine":[110],"details.":[111],"We":[112,159],"accumulate":[113],"coverage":[116],"in":[117,157],"screen":[118],"space":[119],"stochastically":[121],"sample":[122],"single-scattering":[124],"event":[125],"approximate":[127],"higher-order":[128],"scattering.":[129],"Our":[130],"reproduces":[132],"the":[133],"rich":[134],"appearance":[135],"of":[136,170],"resulting":[140],"from":[141],"scattering,":[143],"running":[145],"about":[146],"7\u201310\u00d7":[147],"faster":[148],"than":[149],"path":[150],"tracing,":[151],"making":[152],"suitable":[154],"use":[156],"production.":[158],"also":[160],"demonstrate":[161],"our":[163],"approach":[164],"robust":[166],"under":[167],"variety":[169],"conditions.":[172]},"counts_by_year":[],"updated_date":"2026-07-04T06:14:54.683239","created_date":"2026-07-04T00:00:00"}