{"id":"https://openalex.org/W4229369460","doi":"https://doi.org/10.1145/3533427","title":"A Sparse Non-parametric BRDF Model","display_name":"A Sparse Non-parametric BRDF Model","publication_year":2022,"publication_date":"2022-05-09","ids":{"openalex":"https://openalex.org/W4229369460","doi":"https://doi.org/10.1145/3533427"},"language":"en","primary_location":{"id":"doi:10.1145/3533427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533427","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533427","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":null,"license_id":null,"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":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3533427","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026458226","display_name":"Tanaboon Tongbuasirilai","orcid":"https://orcid.org/0000-0002-3239-8581"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Tanaboon Tongbuasirilai","raw_affiliation_strings":["Link\u00f6ping University Link\u00f6ping, 58183, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-3239-8581","affiliations":[{"raw_affiliation_string":"Link\u00f6ping University Link\u00f6ping, 58183, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035120489","display_name":"Jonas Unger","orcid":"https://orcid.org/0000-0002-7765-1747"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Jonas Unger","raw_affiliation_strings":["Link\u00f6ping University Link\u00f6ping, 58183, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Link\u00f6ping University Link\u00f6ping, 58183, Sweden","institution_ids":["https://openalex.org/I102134673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010468033","display_name":"Christine Guillemot","orcid":"https://orcid.org/0000-0003-1604-967X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210133778","display_name":"Centre Inria de l'Universit\u00e9 de Rennes","ror":"https://ror.org/04040yw90","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210133778"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christine Guillemot","raw_affiliation_strings":["INRIA, Rennes, France","Analysis representation, compression and communication of visual data"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, Rennes, France","institution_ids":["https://openalex.org/I4210133778","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Analysis representation, compression and communication of visual data","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039745529","display_name":"Ehsan Miandji","orcid":"https://orcid.org/0000-0002-4435-6784"},"institutions":[{"id":"https://openalex.org/I102134673","display_name":"Link\u00f6ping University","ror":"https://ror.org/05ynxx418","country_code":"SE","type":"education","lineage":["https://openalex.org/I102134673"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ehsan Miandji","raw_affiliation_strings":["Link\u00f6ping University Link\u00f6ping, 58183, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-4435-6784","affiliations":[{"raw_affiliation_string":"Link\u00f6ping University Link\u00f6ping, 58183, Sweden","institution_ids":["https://openalex.org/I102134673"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026458226"],"corresponding_institution_ids":["https://openalex.org/I102134673"],"apc_list":null,"apc_paid":null,"fwci":0.9133,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74590463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"41","issue":"5","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955999851226807,"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":0.9948999881744385,"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/bidirectional-reflectance-distribution-function","display_name":"Bidirectional reflectance distribution function","score":0.9324588775634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7041949033737183},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5687496066093445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4884618818759918},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.479665070772171},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.475101113319397},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45328643918037415},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.43450137972831726},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42882707715034485},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4211890995502472},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4210558831691742},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35194313526153564},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.3278498649597168},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24182337522506714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22245079278945923}],"concepts":[{"id":"https://openalex.org/C151596937","wikidata":"https://www.wikidata.org/wiki/Q856980","display_name":"Bidirectional reflectance distribution function","level":3,"score":0.9324588775634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7041949033737183},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5687496066093445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4884618818759918},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.479665070772171},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.475101113319397},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45328643918037415},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.43450137972831726},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42882707715034485},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4211890995502472},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4210558831691742},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35194313526153564},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.3278498649597168},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24182337522506714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22245079278945923},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3533427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533427","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533427","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03654734v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03654734","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM Transactions on Graphics, 2022, pp.1-18. ⟨10.1145/3533427⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.1145/3533427","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3533427","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3533427","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1429176652","display_name":null,"funder_award_id":"694122","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4229369460.pdf","grobid_xml":"https://content.openalex.org/works/W4229369460.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W1494645067","https://openalex.org/W1538433590","https://openalex.org/W1557590941","https://openalex.org/W1923938124","https://openalex.org/W1964909831","https://openalex.org/W1970516706","https://openalex.org/W1979074964","https://openalex.org/W1990918627","https://openalex.org/W2008672735","https://openalex.org/W2024165284","https://openalex.org/W2037242534","https://openalex.org/W2069053895","https://openalex.org/W2072541189","https://openalex.org/W2081411525","https://openalex.org/W2105096195","https://openalex.org/W2105649179","https://openalex.org/W2105933175","https://openalex.org/W2118841697","https://openalex.org/W2118990207","https://openalex.org/W2132577296","https://openalex.org/W2144188683","https://openalex.org/W2152176016","https://openalex.org/W2160547390","https://openalex.org/W2217481588","https://openalex.org/W2220595294","https://openalex.org/W2266476757","https://openalex.org/W2286014486","https://openalex.org/W2295045277","https://openalex.org/W2497538938","https://openalex.org/W2610372066","https://openalex.org/W2785810336","https://openalex.org/W2811490555","https://openalex.org/W2902979570","https://openalex.org/W2903042180","https://openalex.org/W2914531995","https://openalex.org/W2921535899","https://openalex.org/W2944170288","https://openalex.org/W2946726590","https://openalex.org/W2955159133","https://openalex.org/W2963650738","https://openalex.org/W2964228590","https://openalex.org/W2983597143","https://openalex.org/W3005895305","https://openalex.org/W3021077449","https://openalex.org/W3042293135","https://openalex.org/W3044844975","https://openalex.org/W3128322367","https://openalex.org/W3176006498","https://openalex.org/W3215051180","https://openalex.org/W4206364398","https://openalex.org/W4232290346","https://openalex.org/W4241492945","https://openalex.org/W4246951963","https://openalex.org/W4288301553","https://openalex.org/W4302346310","https://openalex.org/W6643824847","https://openalex.org/W6770104325","https://openalex.org/W6926085223","https://openalex.org/W6944890120"],"related_works":["https://openalex.org/W2774256758","https://openalex.org/W2026859948","https://openalex.org/W2000112597","https://openalex.org/W2765253738","https://openalex.org/W2053540137","https://openalex.org/W2289718384","https://openalex.org/W1995675544","https://openalex.org/W2509524819","https://openalex.org/W3127866798","https://openalex.org/W2068427817"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,15,27,39,69],"novel":[4],"sparse":[5,120],"non-parametric":[6],"Bidirectional":[7],"Reflectance":[8],"Distribution":[9],"Function":[10],"(BRDF)":[11],"model":[12,43,59,110,122],"derived":[13],"using":[14,26,125],"machine":[16],"learning":[17],"approach":[18,139],"to":[19,67,81,154],"represent":[20,68],"the":[21,36,42,56,76,105,109,113,126,137],"space":[22,107],"of":[23,29,55,72,108],"possible":[24],"BRDFs":[25,99],"set":[28],"multidimensional":[30],"sub-spaces,":[31],"or":[32,97],"dictionaries.":[33],"By":[34],"training":[35],"dictionaries":[37],"under":[38],"sparsity":[40],"constraint,":[41],"guarantees":[44],"high-quality":[45],"representations":[46],"with":[47],"minimal":[48],"storage":[49],"requirements":[50],"and":[51,64,88,129],"an":[52],"inherent":[53],"clustering":[54],"BDRF-space.":[57],"The":[58,118],"can":[60,100],"be":[61,101],"trained":[62],"once":[63],"then":[65],"reused":[66],"wide":[70],"variety":[71],"measured":[73],"BRDFs.":[74],"Moreover,":[75],"proposed":[77,119,138],"method":[78],"is":[79,123],"flexible":[80],"incorporate":[82],"new":[83],"unobserved":[84],"data":[85],"sets,":[86],"parameterizations,":[87],"transformations.":[89],"In":[90],"addition,":[91],"we":[92],"show":[93,135],"that":[94,136],"any":[95],"two,":[96],"more,":[98],"smoothly":[102],"interpolated":[103],"in":[104,141],"coefficient":[106],"rather":[111],"than":[112],"significantly":[114],"higher-dimensional":[115],"BRDF":[116,121,131],"space.":[117],"evaluated":[124],"MERL,":[127],"DTU,":[128],"RGL-EPFL":[130],"databases.":[132],"Experimental":[133],"results":[134,140],"about":[142],"9.75dB":[143],"higher":[144],"signal-to-noise":[145],"ratio":[146],"on":[147],"average":[148],"for":[149],"rendered":[150],"images":[151],"as":[152],"compared":[153],"current":[155],"state-of-the-art":[156],"models.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}