{"id":"https://openalex.org/W3011584047","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023328","title":"Any-to-one Face Reenactment Based on Conditional Generative Adversarial Network","display_name":"Any-to-one Face Reenactment Based on Conditional Generative Adversarial Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011584047","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023328","mag":"3011584047"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5101775230","display_name":"Tianxiang Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianxiang Ma","raw_affiliation_strings":["National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042160852","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-9014-7369"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757829","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8598-0831"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017743261","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0002-2763-7832"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Dong","raw_affiliation_strings":["National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, CASIA Center for Research on Intelligent Perception and Computing, CASIA University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101775230"],"corresponding_institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56961217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1657","last_page":"1664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9937999844551086,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9919999837875366,"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/adversarial-system","display_name":"Adversarial system","score":0.8547853231430054},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7958526611328125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736506998538971},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6782878041267395},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6327682733535767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565375089645386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3581007122993469},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.14196565747261047},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08068954944610596}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8547853231430054},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7958526611328125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736506998538971},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6782878041267395},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6327682733535767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565375089645386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3581007122993469},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.14196565747261047},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08068954944610596},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1579590535","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1927238661","https://openalex.org/W2012048984","https://openalex.org/W2038891881","https://openalex.org/W2062712751","https://openalex.org/W2080277992","https://openalex.org/W2107813907","https://openalex.org/W2135666716","https://openalex.org/W2135869037","https://openalex.org/W2146991130","https://openalex.org/W2211242044","https://openalex.org/W2237250383","https://openalex.org/W2296179043","https://openalex.org/W2301937176","https://openalex.org/W2468014222","https://openalex.org/W2486034530","https://openalex.org/W2558151185","https://openalex.org/W2558578635","https://openalex.org/W2754447548","https://openalex.org/W2776121517","https://openalex.org/W2806833697","https://openalex.org/W2883183894","https://openalex.org/W2897039210","https://openalex.org/W2902266071","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963516695","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W4248310991","https://openalex.org/W4320013936","https://openalex.org/W6639824700","https://openalex.org/W6743304502"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W4210468674","https://openalex.org/W2996316059","https://openalex.org/W3156763702","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2969215546","https://openalex.org/W3005996785","https://openalex.org/W4297411772"],"abstract_inverted_index":{"Face":[0,25,42],"reenactment":[1,159],"refers":[2],"to":[3,16,122,132,153,168],"the":[4,8,17,62,66,70,73,79,89,93,97,123,127,165],"process":[5],"of":[6,12,65,78,92,138,160],"transferring":[7],"expressions":[9],"and":[10,46,69,75,99,114,142],"postures":[11],"a":[13,22,36,85],"given":[14],"face":[15,60,95,120,158],"target":[18,67,94,101],"face.":[19,81],"We":[20,144],"present":[21],"novel":[23],"Any-to-one":[24,41],"Reenactment":[26],"Model":[27],"based":[28,49],"on":[29,50,149],"Conditional":[30,51],"Generative":[31,52],"Adversarial":[32,53],"Network,":[33],"which":[34],"has":[35,72,84],"simple":[37],"dual":[38],"converter":[39],"structure:":[40],"Landmarks":[43],"Map":[44],"Converter(AFLC)":[45],"Landmark-to-face":[47],"Converter":[48],"Network(LFC).":[54],"The":[55,82,104],"former":[56],"transfers":[57,88],"any":[58,111,161],"source":[59,80],"into":[61,96],"landmarks":[63,90],"map":[64,71,91],"face,":[68],"expression":[74],"posture":[76],"attributes":[77],"latter":[83],"generator":[86],"that":[87],"realistic":[98],"identity-preserving":[100],"facial":[102,172],"image.":[103],"whole":[105],"model":[106,128,167],"is":[107,129],"purely":[108],"learning-based":[109],"without":[110],"3D":[112],"model,":[113],"can":[115],"generate":[116],"high":[117],"quality":[118],"transferred":[119],"comparable":[121],"state-of-the-art.":[124],"What's":[125],"more":[126],"highly":[130],"robust":[131],"wild":[133],"faces,":[134],"including":[135],"various":[136],"faces":[137],"different":[139],"complexions,":[140],"ages,":[141],"genders.":[143],"performed":[145],"an":[146,170],"ablation":[147],"study":[148],"our":[150],"proposed":[151],"AFLC":[152,163],"verify":[154],"its":[155],"importance":[156],"for":[157],"object.":[162],"helps":[164],"overall":[166],"achieve":[169],"effective":[171],"reenactment.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
