{"id":"https://openalex.org/W2981557889","doi":"https://doi.org/10.1145/3343031.3351031","title":"TC-GAN","display_name":"TC-GAN","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981557889","doi":"https://doi.org/10.1145/3343031.3351031","mag":"2981557889"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5047397562","display_name":"Juntong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210099297","display_name":"Jilian Technology Group (China)","ror":"https://ror.org/016q5ce10","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099297"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juntong Cheng","raw_affiliation_strings":["Fudan University & Jilian Technology Group (Video++), Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University & Jilian Technology Group (Video++), Shanghai, China","institution_ids":["https://openalex.org/I4210099297","https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728316","display_name":"Yi\u2010Ping Phoebe Chen","orcid":"https://orcid.org/0000-0002-4122-3767"},"institutions":[{"id":"https://openalex.org/I196829312","display_name":"La Trobe University","ror":"https://ror.org/01rxfrp27","country_code":"AU","type":"education","lineage":["https://openalex.org/I196829312"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yi-Ping Phoebe Chen","raw_affiliation_strings":["La Trobe University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"La Trobe University, Melbourne, Australia","institution_ids":["https://openalex.org/I196829312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008460360","display_name":"Minjun Li","orcid":"https://orcid.org/0000-0002-4382-5585"},"institutions":[{"id":"https://openalex.org/I4210099297","display_name":"Jilian Technology Group (China)","ror":"https://ror.org/016q5ce10","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099297"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjun Li","raw_affiliation_strings":["Fudan University & Jilian Technology Group (Video++), Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University & Jilian Technology Group (Video++), Shanghai, China","institution_ids":["https://openalex.org/I4210099297","https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210099297","display_name":"Jilian Technology Group (China)","ror":"https://ror.org/016q5ce10","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099297"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["Fudan University & Jilian Technology Group (Video++), Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University & Jilian Technology Group (Video++), Shanghai, China","institution_ids":["https://openalex.org/I4210099297","https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047397562"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4210099297"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.65926044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9988999962806702,"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":0.9706000089645386,"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/discriminator","display_name":"Discriminator","score":0.8745578527450562},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7730528116226196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.76528000831604},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6784326434135437},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6552813053131104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6357448697090149},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5892707109451294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5359213352203369},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5098523497581482},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4645155966281891},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4645044505596161},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.46251073479652405},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42434513568878174},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4225327968597412},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41101622581481934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12212184071540833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05666804313659668},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.054848819971084595},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.048895835876464844}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8745578527450562},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7730528116226196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76528000831604},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6784326434135437},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6552813053131104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6357448697090149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5892707109451294},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5359213352203369},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5098523497581482},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4645155966281891},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4645044505596161},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.46251073479652405},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42434513568878174},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4225327968597412},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41101622581481934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12212184071540833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05666804313659668},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.054848819971084595},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.048895835876464844},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351031","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1916406603","https://openalex.org/W2096733369","https://openalex.org/W2114588272","https://openalex.org/W2131024102","https://openalex.org/W2137857332","https://openalex.org/W2142780847","https://openalex.org/W2148714246","https://openalex.org/W2153169342","https://openalex.org/W2188956040","https://openalex.org/W2194775991","https://openalex.org/W2217448953","https://openalex.org/W2237250383","https://openalex.org/W2404498690","https://openalex.org/W2737047298","https://openalex.org/W2799209711","https://openalex.org/W2800923548","https://openalex.org/W2883376126","https://openalex.org/W2962793481","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963100452","https://openalex.org/W2963767194","https://openalex.org/W2963890275","https://openalex.org/W2964045146","https://openalex.org/W2964337551","https://openalex.org/W3099206234","https://openalex.org/W3104147459","https://openalex.org/W4236965008","https://openalex.org/W4289387529","https://openalex.org/W6690147562"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W3049340819","https://openalex.org/W4308928038","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2642127892","https://openalex.org/W2888032422","https://openalex.org/W2808862658","https://openalex.org/W4322709305","https://openalex.org/W2996316059"],"abstract_inverted_index":{"Face":[0],"frontalization":[1,18,28,79,140,156],"has":[2,19],"always":[3],"been":[4],"an":[5],"important":[6],"field.":[7],"Recently,":[8],"with":[9],"the":[10,32,35,52,55,69,77,93,96,100,103,116,130,138,159,167,174,178],"introduction":[11],"of":[12,34,92,115,132,169,180],"generative":[13,73],"adversarial":[14,74],"networks":[15,75,84],"(GANs),":[16],"face":[17,27,53,78,139,155,187],"achieved":[20],"remarkable":[21],"success.":[22],"A":[23],"critical":[24],"challenge":[25],"during":[26,186],"is":[29],"to":[30,54,109,123,137],"ensure":[31],"features":[33,49,161,185],"original":[36],"profile":[37],"image":[38],"are":[39],"retained.":[40],"Even":[41],"though":[42],"some":[43],"state-of-the-art":[44,175],"methods":[45,176],"can":[46,152],"preserve":[47],"identity":[48,163,182],"while":[50,157],"rotating":[51],"frontal":[56,97,113],"view,":[57],"they":[58],"still":[59],"have":[60],"difficulty":[61],"preserving":[62,158],"facial":[63,104,160,181],"expression":[64,184],"features.":[65,105],"Therefore,":[66],"we":[67,134],"propose":[68],"novel":[70],"triangle":[71],"cycle-consistent":[72,121],"for":[76],"task,":[80],"termed":[81],"TC-GAN.":[82],"Our":[83],"contain":[85],"two":[86,143],"generators":[87,94],"and":[88,99,164,183],"one":[89],"discriminator.":[90],"One":[91],"generates":[95,102],"contour,":[98],"other":[101],"They":[106],"work":[107],"together":[108],"generate":[110],"a":[111],"photo-realistic":[112],"view":[114],"face.":[117],"We":[118],"also":[119],"introduce":[120],"loss":[122],"retain":[124],"feature":[125],"information":[126],"effectively.":[127],"To":[128,166],"validate":[129],"advantages":[131],"TC-GAN,":[133],"apply":[135],"it":[136],"task":[141],"on":[142],"datasets.":[144],"The":[145],"experimental":[146],"results":[147],"demonstrate":[148],"that":[149],"our":[150,170],"method":[151],"perform":[153],"large-pose":[154],"(both":[162],"expression).":[165],"best":[168],"knowledge,":[171],"TC-GAN":[172],"outperforms":[173],"in":[177],"preservation":[179],"frontalization.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-11-01T00:00:00"}