{"id":"https://openalex.org/W4410858161","doi":"https://doi.org/10.1145/3708657.3708730","title":"Optimization of Albedo Map in 3D Face Reconstruction","display_name":"Optimization of Albedo Map in 3D Face Reconstruction","publication_year":2024,"publication_date":"2024-11-21","ids":{"openalex":"https://openalex.org/W4410858161","doi":"https://doi.org/10.1145/3708657.3708730"},"language":"en","primary_location":{"id":"doi:10.1145/3708657.3708730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708657.3708730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Communication and Information Processing","raw_type":"proceedings-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/A5000169679","display_name":"Mingtong Zhang","orcid":"https://orcid.org/0000-0002-4879-0887"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingtong Zhang","raw_affiliation_strings":["School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4879-0887","affiliations":[{"raw_affiliation_string":"School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034060308","display_name":"Jiaxin Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxin Tong","raw_affiliation_strings":["School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-2461-3480","affiliations":[{"raw_affiliation_string":"School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052493337","display_name":"Qiuzi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuzi Huang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-1522-1414","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654081","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-9814-638X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9814-638X","affiliations":[{"raw_affiliation_string":"School of Digtal Media and Design Art, Beijing University of Posts and Telecommunications, Beijing, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000169679"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29158936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"441","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9984999895095825,"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":0.9980000257492065,"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/face","display_name":"Face (sociological concept)","score":0.6831257939338684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5672564506530762},{"id":"https://openalex.org/keywords/albedo","display_name":"Albedo (alchemy)","score":0.5672114491462708},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5100058317184448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4582672715187073},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.42528772354125977},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38342687487602234},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3208383619785309},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26899561285972595},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.06816446781158447}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6831257939338684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5672564506530762},{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.5672114491462708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5100058317184448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4582672715187073},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.42528772354125977},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38342687487602234},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3208383619785309},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26899561285972595},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.06816446781158447},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3708657.3708730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708657.3708730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 10th International Conference on Communication and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2072578292","https://openalex.org/W2134724684","https://openalex.org/W2237250383","https://openalex.org/W2740851567","https://openalex.org/W2766527293","https://openalex.org/W2769666294","https://openalex.org/W2962770929","https://openalex.org/W2963073614","https://openalex.org/W3033696290","https://openalex.org/W3035413889","https://openalex.org/W3152675032","https://openalex.org/W3213788316","https://openalex.org/W4214926101","https://openalex.org/W4221148652","https://openalex.org/W4225649033","https://openalex.org/W4310282948","https://openalex.org/W4386065603","https://openalex.org/W6787743567","https://openalex.org/W6841663170"],"related_works":["https://openalex.org/W2007910845","https://openalex.org/W2576308991","https://openalex.org/W2990232903","https://openalex.org/W2121524756","https://openalex.org/W1495007194","https://openalex.org/W1975173180","https://openalex.org/W2302186993","https://openalex.org/W2032011064","https://openalex.org/W2053608374","https://openalex.org/W2385643696"],"abstract_inverted_index":{"With":[0],"the":[1,26,42,54,67,72,117,120,141,146,158],"advancement":[2],"of":[3,108,119,165],"3D":[4,11,32,126],"computer":[5],"vision":[6],"and":[7,36,53,99,101,111,122,140],"image":[8,30,68,74],"processing":[9],"techniques,":[10],"face":[12,127],"reconstruction":[13],"has":[14],"become":[15],"an":[16],"important":[17,23],"research":[18],"area.":[19],"The":[20],"two":[21],"most":[22],"parts":[24],"in":[25,57,163],"reduction":[27],"from":[28,49],"2D":[29],"to":[31,41,115,137],"modeling":[33],"are":[34,153],"shape":[35],"texture":[37,69,106,128,147,159],"maps.":[38,129],"However,":[39],"due":[40],"limited":[43],"information":[44],"that":[45,145],"can":[46],"be":[47],"obtained":[48],"a":[50,58,63,85],"single":[51],"image,":[52],"light":[55,98],"source":[56],"natural":[59],"scene":[60],"will":[61],"have":[62],"large":[64],"impact":[65],"on":[66,93],"reduction,":[70],"so":[71],"restored":[73],"is":[75,132],"mostly":[76],"distorted.":[77],"To":[78],"solve":[79],"this":[80,82],"problem,":[81],"paper":[83],"proposes":[84],"gan":[86],"model":[87,152],"for":[88],"optimizing":[89],"albedo":[90,102,138],"maps":[91,107,160],"based":[92],"position":[94],"map,":[95],"which":[96],"decouples":[97],"shadow":[100],"by":[103,150],"randomly":[104],"exchanging":[105],"different":[109],"photos,":[110],"introduces":[112],"Gaussian":[113],"noise":[114],"improve":[116],"robustness":[118],"network":[121,131],"restore":[123],"more":[124,155],"realistic":[125],"Our":[130],"called":[133],"Pose2albedo":[134],"(position":[135],"map":[136],"map),":[139],"experimental":[142],"results":[143],"show":[144],"images":[148],"optimized":[149],"our":[151],"significantly":[154],"effective":[156],"than":[157],"before":[161],"optimization":[162],"terms":[164],"metric":[166],"benchmarks.":[167]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}