{"id":"https://openalex.org/W4387449167","doi":"https://doi.org/10.1109/tmm.2023.3322895","title":"Learning 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces","display_name":"Learning 3D Face Reconstruction From the Cycle-Consistency of Dynamic Faces","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387449167","doi":"https://doi.org/10.1109/tmm.2023.3322895"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3322895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3322895","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5102009341","display_name":"Wenwu Yang","orcid":"https://orcid.org/0000-0002-9840-1974"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenwu Yang","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9840-1974","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104180330","display_name":"Yeqing Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeqing Zhao","raw_affiliation_strings":["School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015699943","display_name":"Bailin Yang","orcid":"https://orcid.org/0000-0003-1754-5595"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin Yang","raw_affiliation_strings":["School of Computer and Information Engineering, the School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1754-5595","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, the School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102851352","display_name":"Jianbing Shen","orcid":"https://orcid.org/0000-0003-2656-3082"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Jianbing Shen","raw_affiliation_strings":["State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0003-2656-3082","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Internet of Things for Smart City, Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I6469544","https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102009341"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":1.7143,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86943713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"3663","last_page":"3675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.991599977016449,"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/computer-science","display_name":"Computer science","score":0.8170961141586304},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6375060677528381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5776808261871338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.560613751411438},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5016036033630371},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44471877813339233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3029329776763916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8170961141586304},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6375060677528381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5776808261871338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.560613751411438},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5016036033630371},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44471877813339233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3029329776763916},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3322895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3322895","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2354569124","display_name":null,"funder_award_id":"SKL-IOTSC(UM)-2021-2023","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"},{"id":"https://openalex.org/G3604572085","display_name":null,"funder_award_id":"MYRG-CRG2022-00013-IOTSC-ICI","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"},{"id":"https://openalex.org/G865935055","display_name":null,"funder_award_id":"0154/2022/A3","funder_id":"https://openalex.org/F4320323893","funder_display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia"}],"funders":[{"id":"https://openalex.org/F4320323893","display_name":"Fundo para o Desenvolvimento das Ci\u00eancias e da Tecnologia","ror":"https://ror.org/05vna4324"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":81,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W1951319388","https://openalex.org/W1969736828","https://openalex.org/W2012885984","https://openalex.org/W2017107803","https://openalex.org/W2081063977","https://openalex.org/W2087007396","https://openalex.org/W2105649179","https://openalex.org/W2107037917","https://openalex.org/W2110501904","https://openalex.org/W2112367092","https://openalex.org/W2194775991","https://openalex.org/W2237250383","https://openalex.org/W2261888986","https://openalex.org/W2265959009","https://openalex.org/W2301789900","https://openalex.org/W2464650832","https://openalex.org/W2487852963","https://openalex.org/W2555510177","https://openalex.org/W2557727335","https://openalex.org/W2599226450","https://openalex.org/W2604672468","https://openalex.org/W2770446278","https://openalex.org/W2771328060","https://openalex.org/W2798291180","https://openalex.org/W2798807671","https://openalex.org/W2808174311","https://openalex.org/W2883861033","https://openalex.org/W2884066303","https://openalex.org/W2889050557","https://openalex.org/W2902364846","https://openalex.org/W2945729334","https://openalex.org/W2946166696","https://openalex.org/W2949662773","https://openalex.org/W2963342110","https://openalex.org/W2963557052","https://openalex.org/W2963865528","https://openalex.org/W2964449965","https://openalex.org/W2965115183","https://openalex.org/W2969985801","https://openalex.org/W2970131683","https://openalex.org/W2981087920","https://openalex.org/W2981263323","https://openalex.org/W2981441786","https://openalex.org/W2987413615","https://openalex.org/W2988472682","https://openalex.org/W2990431681","https://openalex.org/W2995982174","https://openalex.org/W3021962567","https://openalex.org/W3034512702","https://openalex.org/W3081486110","https://openalex.org/W3082708265","https://openalex.org/W3090650188","https://openalex.org/W3097989406","https://openalex.org/W3099505600","https://openalex.org/W3102661353","https://openalex.org/W3104300620","https://openalex.org/W3104792420","https://openalex.org/W3108361452","https://openalex.org/W3109317096","https://openalex.org/W3150503058","https://openalex.org/W3152675032","https://openalex.org/W3163977797","https://openalex.org/W3165405144","https://openalex.org/W3166139908","https://openalex.org/W3168750717","https://openalex.org/W3174658753","https://openalex.org/W3178221902","https://openalex.org/W3180794345","https://openalex.org/W3183760947","https://openalex.org/W3184701780","https://openalex.org/W3203983723","https://openalex.org/W4225763874","https://openalex.org/W4226087396","https://openalex.org/W4229507706","https://openalex.org/W4285821690","https://openalex.org/W4312590328","https://openalex.org/W4367622621","https://openalex.org/W6738979955","https://openalex.org/W6743905813","https://openalex.org/W6798883673"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1770503332","https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Reconstructinga":[0],"3D":[1,19,53,60,73,105,116,129,192,209,222],"face":[2,20,74,106,117,130,157,173,193,210,223,234],"from":[3,38,81,132,201],"a":[4,8,82,111,122,156,182],"single":[5,83],"image":[6,45,174],"is":[7,64,119,141,188,257],"crucial":[9],"task":[10],"in":[11,103,114,168],"numerous":[12],"multimedia":[13],"applications.":[14],"Face":[15],"images":[16],"with":[17,185,260],"ground-truth":[18],"shapes":[21,131],"are":[22],"scarce,":[23],"so":[24],"unsupervised":[25],"deep":[26],"learning":[27,127],"methods,":[28],"which":[29],"rely":[30],"primarily":[31],"on":[32,258],"the":[33,39,43,47,51,71,145,165,172,220,239,245,261,264],"free":[34,123],"supervision":[35],"signal":[36,125],"derived":[37],"visual":[40,90],"disparity":[41],"between":[42,152],"input":[44],"and":[46,99,159,163,199,226,250],"rendered":[48],"counterpart":[49],"of":[50,139,241,263],"predicted":[52],"face,":[54],"have":[55],"proven":[56],"superior":[57],"for":[58,66,126,207,231],"reconstructing":[59],"faces.":[61],"However,":[62],"it":[63],"challenging":[65,246],"such":[67,76],"techniques":[68],"to":[69,142,161,170,175,190,217,228],"decouple":[70,219],"dynamic":[72,115,221],"properties":[75,194,224],"as":[77,121],"pose":[78,98,147],"or":[79,148,256],"expression":[80,100,150],"2D":[84,202],"image,":[85,158],"especially":[86],"when":[87],"similar":[88],"local":[89],"appearance":[91],"changes":[92],"can":[93],"be":[94,229],"caused":[95],"by":[96],"both":[97],"motion,":[101],"resulting":[102],"imprecise":[104],"reconstruction.":[107,235],"In":[108,179],"this":[109],"article,":[110],"novel":[112],"cycle-consistency":[113,140],"characteristics":[118],"introduced":[120],"supervisory":[124],"accurate":[128],"unlabeled":[133],"facial":[134,149,203],"images.":[135],"The":[136],"main":[137],"idea":[138],"explicitly":[143],"inject":[144],"head":[146],"variation":[151,167],"video":[153],"frames":[154],"into":[155],"then":[160],"extract":[162],"reverse":[164],"injected":[166],"order":[169],"reconstruct":[171],"its":[176],"original":[177],"state.":[178],"our":[180,214,242,253],"model,":[181],"CNN":[183],"network":[184],"multiple":[186],"branches":[187],"proposed":[189],"disentangle":[191],"like":[195],"identity,":[196],"expression,":[197],"pose,":[198],"texture":[200],"images,":[204],"one":[205],"branch":[206],"each":[208],"property.":[211],"During":[212],"training,":[213],"model":[215],"learns":[216],"completely":[218],"(pose":[225],"expression)":[227],"useful":[230],"performing":[232],"cycle-consistent":[233],"Extensive":[236],"experiments":[237],"demonstrate":[238],"superiority":[240],"approach.":[243],"On":[244],"AFLW2000-3D,":[247],"MICC":[248],"Florence,":[249],"NoW":[251],"datasets,":[252],"method":[254],"outperforms":[255],"par":[259],"state":[262],"art.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
