{"id":"https://openalex.org/W2810993953","doi":"https://doi.org/10.1145/3197517.3201364","title":"High-fidelity facial reflectance and geometry inference from an unconstrained image","display_name":"High-fidelity facial reflectance and geometry inference from an unconstrained image","publication_year":2018,"publication_date":"2018-07-30","ids":{"openalex":"https://openalex.org/W2810993953","doi":"https://doi.org/10.1145/3197517.3201364","mag":"2810993953"},"language":"en","primary_location":{"id":"doi:10.1145/3197517.3201364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197517.3201364","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":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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013288881","display_name":"Shugo Yamaguchi","orcid":"https://orcid.org/0009-0001-6369-3540"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]},{"id":"https://openalex.org/I4388482679","display_name":"USC Institute for Creative Technologies","ror":"https://ror.org/03hjhvn29","country_code":null,"type":"facility","lineage":["https://openalex.org/I1174212","https://openalex.org/I4388482679"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Shugo Yamaguchi","raw_affiliation_strings":["Waseda University and USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University and USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I150744194","https://openalex.org/I4210087747","https://openalex.org/I4388482679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102959646","display_name":"Shunsuke Saito","orcid":"https://orcid.org/0000-0003-2053-3472"},"institutions":[{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shunsuke Saito","raw_affiliation_strings":["University of Southern California, and USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, and USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I4210087747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026964301","display_name":"Koki Nagano","orcid":"https://orcid.org/0000-0001-6815-4864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koki Nagano","raw_affiliation_strings":["Pinscreen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pinscreen","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101433524","display_name":"Yajie Zhao","orcid":"https://orcid.org/0000-0002-3717-9513"},"institutions":[{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]},{"id":"https://openalex.org/I4388482679","display_name":"USC Institute for Creative Technologies","ror":"https://ror.org/03hjhvn29","country_code":null,"type":"facility","lineage":["https://openalex.org/I1174212","https://openalex.org/I4388482679"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yajie Zhao","raw_affiliation_strings":["USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I4210087747","https://openalex.org/I4388482679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104781075","display_name":"Weikai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]},{"id":"https://openalex.org/I4388482679","display_name":"USC Institute for Creative Technologies","ror":"https://ror.org/03hjhvn29","country_code":null,"type":"facility","lineage":["https://openalex.org/I1174212","https://openalex.org/I4388482679"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weikai Chen","raw_affiliation_strings":["USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I4210087747","https://openalex.org/I4388482679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108705955","display_name":"Kyle Olszewski","orcid":"https://orcid.org/0000-0001-8775-6879"},"institutions":[{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Olszewski","raw_affiliation_strings":["University of Southern California, and USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, and USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I4210087747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083427215","display_name":"Shigeo Morishima","orcid":"https://orcid.org/0000-0001-8859-6539"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeo Morishima","raw_affiliation_strings":["Waseda University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100348588","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-4019-3420"},"institutions":[{"id":"https://openalex.org/I4210087747","display_name":"Creative Technologies (United States)","ror":"https://ror.org/001qkb777","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087747"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["University of Southern California, and USC Institute for Creative Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, and USC Institute for Creative Technologies","institution_ids":["https://openalex.org/I4210087747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":51.9022,"has_fulltext":false,"cited_by_count":152,"citation_normalized_percentile":{"value":0.99849398,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"37","issue":"4","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9962999820709229,"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":0.9951000213623047,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7908176183700562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7472922801971436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7173024415969849},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.7122564315795898},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6960926651954651},{"id":"https://openalex.org/keywords/displacement-mapping","display_name":"Displacement mapping","score":0.6801419258117676},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4506802260875702},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43981266021728516},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4298502802848816},{"id":"https://openalex.org/keywords/specular-highlight","display_name":"Specular highlight","score":0.42225056886672974},{"id":"https://openalex.org/keywords/specular-reflection","display_name":"Specular reflection","score":0.40651750564575195},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.4021073281764984},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33778032660484314},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32979443669319153},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16581156849861145},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08834260702133179}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7908176183700562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7472922801971436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7173024415969849},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.7122564315795898},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6960926651954651},{"id":"https://openalex.org/C123149101","wikidata":"https://www.wikidata.org/wiki/Q1229184","display_name":"Displacement mapping","level":3,"score":0.6801419258117676},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4506802260875702},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43981266021728516},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4298502802848816},{"id":"https://openalex.org/C50045419","wikidata":"https://www.wikidata.org/wiki/Q7575328","display_name":"Specular highlight","level":3,"score":0.42225056886672974},{"id":"https://openalex.org/C118381688","wikidata":"https://www.wikidata.org/wiki/Q1079524","display_name":"Specular reflection","level":2,"score":0.40651750564575195},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.4021073281764984},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33778032660484314},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32979443669319153},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16581156849861145},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08834260702133179}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3197517.3201364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197517.3201364","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3448635084","display_name":"\uff12\uff24\u30fb\uff13\uff24\u30a2\u30cb\u30e1\u30fc\u30b7\u30e7\u30f3\u6620\u50cf\u5236\u4f5c\u306e\u305f\u3081\u306e\u52b9\u7387\u7684\u306a\u63cf\u753b\u88dc\u52a9\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a","funder_award_id":"18J14474","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W125358319","https://openalex.org/W1485415000","https://openalex.org/W1522301498","https://openalex.org/W1691728462","https://openalex.org/W1769974409","https://openalex.org/W1834627138","https://openalex.org/W1919814523","https://openalex.org/W1935685005","https://openalex.org/W1964981411","https://openalex.org/W1967577110","https://openalex.org/W1975848997","https://openalex.org/W1979849262","https://openalex.org/W1987010331","https://openalex.org/W1987875999","https://openalex.org/W1988518075","https://openalex.org/W1997699040","https://openalex.org/W1999360130","https://openalex.org/W2003749430","https://openalex.org/W2013871799","https://openalex.org/W2013947191","https://openalex.org/W2027560260","https://openalex.org/W2039239232","https://openalex.org/W2045766969","https://openalex.org/W2059404013","https://openalex.org/W2062712751","https://openalex.org/W2063601108","https://openalex.org/W2069136503","https://openalex.org/W2069997605","https://openalex.org/W2074546357","https://openalex.org/W2076866125","https://openalex.org/W2077786999","https://openalex.org/W2081697593","https://openalex.org/W2082308025","https://openalex.org/W2082643797","https://openalex.org/W2099471712","https://openalex.org/W2100810849","https://openalex.org/W2102924784","https://openalex.org/W2116013899","https://openalex.org/W2116083845","https://openalex.org/W2126733192","https://openalex.org/W2134724684","https://openalex.org/W2138451337","https://openalex.org/W2146566773","https://openalex.org/W2155211928","https://openalex.org/W2160872651","https://openalex.org/W2161208721","https://openalex.org/W2162212331","https://openalex.org/W2163183381","https://openalex.org/W2170635633","https://openalex.org/W2173520492","https://openalex.org/W2203784528","https://openalex.org/W2225593442","https://openalex.org/W2227411572","https://openalex.org/W2232702494","https://openalex.org/W2235136907","https://openalex.org/W2237250383","https://openalex.org/W2294485609","https://openalex.org/W2301937176","https://openalex.org/W2342877626","https://openalex.org/W2431101926","https://openalex.org/W2461230277","https://openalex.org/W2471370490","https://openalex.org/W2474891805","https://openalex.org/W2475362300","https://openalex.org/W2519131448","https://openalex.org/W2523714292","https://openalex.org/W2552465644","https://openalex.org/W2555510177","https://openalex.org/W2556634673","https://openalex.org/W2560023338","https://openalex.org/W2560535660","https://openalex.org/W2565850160","https://openalex.org/W2607170299","https://openalex.org/W2608284766","https://openalex.org/W2608696995","https://openalex.org/W2611104282","https://openalex.org/W2738588019","https://openalex.org/W2766527293","https://openalex.org/W2768959015","https://openalex.org/W2769375465","https://openalex.org/W2771328060","https://openalex.org/W2772390279","https://openalex.org/W2776121517","https://openalex.org/W2798896170","https://openalex.org/W2949351356","https://openalex.org/W2951166315","https://openalex.org/W2952080583","https://openalex.org/W2962780596","https://openalex.org/W2962890008","https://openalex.org/W2963073614","https://openalex.org/W2963917315","https://openalex.org/W3000731301","https://openalex.org/W4238101556","https://openalex.org/W4241614188","https://openalex.org/W4244340458","https://openalex.org/W4253075444","https://openalex.org/W4254012096","https://openalex.org/W6602225820"],"related_works":["https://openalex.org/W2081408094","https://openalex.org/W2175900582","https://openalex.org/W2135509629","https://openalex.org/W2382975238","https://openalex.org/W2063902106","https://openalex.org/W2131672779","https://openalex.org/W2293373268","https://openalex.org/W2118271761","https://openalex.org/W2017579512","https://openalex.org/W2116344605"],"abstract_inverted_index":{"We":[0,167,192],"present":[1],"a":[2,14,39,84,93,228,269],"deep":[3,80],"learning-based":[4],"technique":[5],"to":[6,64,142,255],"infer":[7,247],"high-quality":[8,85],"facial":[9,106,249],"reflectance":[10,46,87,119,215,250],"and":[11,26,52,55,57,88,120,216,251,262],"geometry":[12,89,217],"given":[13],"single":[15,270],"unconstrained":[16,271],"image":[17],"of":[18,196,206,223,230],"the":[19,50,104,111,139,151,179,194,213,221],"subject,":[20],"which":[21,34,146,185],"may":[22],"contain":[23],"partial":[24],"occlusions":[25],"arbitrary":[27],"illumination":[28],"conditions.":[29,72,236],"The":[30,132],"reconstructed":[31],"high-resolution":[32,43],"textures,":[33],"are":[35,159,186,209],"generated":[36],"in":[37,155,164],"only":[38,268],"few":[40],"seconds,":[41],"include":[42],"skin":[44,86],"surface":[45],"maps,":[47,60,122],"representing":[48],"both":[49],"diffuse":[51],"specular":[53],"albedo,":[54],"medium-":[56],"high-frequency":[58],"displacement":[59,121],"thereby":[61],"allowing":[62],"us":[63],"render":[65],"compelling":[66],"digital":[67],"avatars":[68,226],"under":[69,233],"novel":[70],"lighting":[71,235],"To":[73],"extract":[74],"this":[75,170],"data,":[76,218],"we":[77,219,239],"train":[78],"our":[79,114,143,197,244],"neural":[81,115,190],"networks":[82,116],"with":[83,92,161,200],"database":[90],"created":[91],"state-of-the-art":[94],"multi-view":[95],"photometric":[96],"stereo":[97],"system":[98],"using":[99],"polarized":[100],"gradient":[101],"illumination.":[102],"Given":[103],"raw":[105],"texture":[107,148,202],"map":[108],"extracted":[109],"from":[110,150,204,227,258],"input":[112,272],"image,":[113],"synthesize":[117],"complete":[118,126],"as":[123,125],"well":[124],"missing":[127],"regions":[128],"caused":[129],"by":[130,177,188],"occlusions.":[131],"completed":[133],"textures":[134],"exhibit":[135],"consistent":[136,160],"quality":[137],"throughout":[138],"face":[140],"due":[141],"network":[144,198],"architecture,":[145],"propagates":[147],"features":[149],"visible":[152,165],"region,":[153],"resulting":[154],"high-fidelity":[156,224],"details":[157,253],"that":[158,208,243,266],"those":[162,256],"seen":[163],"regions.":[166],"describe":[168],"how":[169],"highly":[171],"underconstrained":[172],"problem":[173],"is":[174],"made":[175],"tractable":[176],"dividing":[178],"full":[180],"inference":[181],"into":[182],"smaller":[183],"tasks,":[184],"addressed":[187],"dedicated":[189],"networks.":[191],"demonstrate":[193,220],"effectiveness":[195],"design":[199],"robust":[201],"completion":[203],"images":[205],"faces":[207],"largely":[210],"occluded.":[211],"With":[212],"inferred":[214],"rendering":[222],"3D":[225],"variety":[229],"subjects":[231],"captured":[232],"different":[234],"In":[237],"addition,":[238],"perform":[240],"evaluations":[241],"demonstrating":[242],"method":[245],"can":[246],"plausible":[248],"geometric":[252],"comparable":[254],"obtained":[257],"high-end":[259],"capture":[260],"devices,":[261],"outperform":[263],"alternative":[264],"approaches":[265],"require":[267],"image.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":34},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}