{"id":"https://openalex.org/W4413018762","doi":"https://doi.org/10.1109/fg61629.2025.11099171","title":"JanusGAN: GANs Disentangled Editing with Two Discriminators","display_name":"JanusGAN: GANs Disentangled Editing with Two Discriminators","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413018762","doi":"https://doi.org/10.1109/fg61629.2025.11099171"},"language":"en","primary_location":{"id":"doi:10.1109/fg61629.2025.11099171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5099218849","display_name":"Neil Farmer","orcid":null},"institutions":[{"id":"https://openalex.org/I81689372","display_name":"International Flavors & Fragrances (France)","ror":"https://ror.org/03esh6f70","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210123226","https://openalex.org/I81689372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Neil Farmer","raw_affiliation_strings":["CHANEL Fragrances & Beauty,Innovation Research & Development,Pantin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CHANEL Fragrances & Beauty,Innovation Research & Development,Pantin","institution_ids":["https://openalex.org/I81689372"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027774712","display_name":"Catherine Soladi\u00e9","orcid":"https://orcid.org/0000-0002-1694-4706"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Soladi\u00e9","raw_affiliation_strings":["CentraleSupélec, IETR UMR CNRS 6164,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CentraleSupélec, IETR UMR CNRS 6164,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I4210107720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099218850","display_name":"Gabriel Cazorla","orcid":null},"institutions":[{"id":"https://openalex.org/I81689372","display_name":"International Flavors & Fragrances (France)","ror":"https://ror.org/03esh6f70","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210123226","https://openalex.org/I81689372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriel Cazorla","raw_affiliation_strings":["CHANEL Fragrances & Beauty,Innovation Research & Development,Pantin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CHANEL Fragrances & Beauty,Innovation Research & Development,Pantin","institution_ids":["https://openalex.org/I81689372"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040347439","display_name":"Renaud S\u00e9guier","orcid":"https://orcid.org/0000-0001-7199-7563"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud S\u00e9guier","raw_affiliation_strings":["CentraleSupélec, IETR UMR CNRS 6164,France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CentraleSupélec, IETR UMR CNRS 6164,France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210100151","https://openalex.org/I4210107720"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21704534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.8719000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.8719000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.8101000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.8062000274658203,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7377545237541199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377545237541199}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg61629.2025.11099171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05233894v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05233894","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG), IEEE, May 2025, Tampa/Clearwater, United States. pp.1-11, ⟨10.1109/fg61629.2025.11099171⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2012167924","https://openalex.org/W2064618648","https://openalex.org/W2096733369","https://openalex.org/W2133665775","https://openalex.org/W2146106343","https://openalex.org/W2567680263","https://openalex.org/W2725329413","https://openalex.org/W2765584773","https://openalex.org/W2888049725","https://openalex.org/W2899730059","https://openalex.org/W2939290119","https://openalex.org/W2942077508","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963047368","https://openalex.org/W2963767194","https://openalex.org/W2973774304","https://openalex.org/W2985068832","https://openalex.org/W3014852036","https://openalex.org/W3026885507","https://openalex.org/W3034241802","https://openalex.org/W3034600949","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3035653890","https://openalex.org/W3092747519","https://openalex.org/W3109076782","https://openalex.org/W3131893224","https://openalex.org/W3145752657","https://openalex.org/W3166541011","https://openalex.org/W3173102319","https://openalex.org/W3173241699","https://openalex.org/W3176913662","https://openalex.org/W3178406257","https://openalex.org/W3181462058","https://openalex.org/W3196616669","https://openalex.org/W3201739204","https://openalex.org/W3204663154","https://openalex.org/W3216225948","https://openalex.org/W4212821657","https://openalex.org/W4214827287","https://openalex.org/W4214926101","https://openalex.org/W4281388959","https://openalex.org/W4285124635","https://openalex.org/W4286611278","https://openalex.org/W4286892689","https://openalex.org/W4304086176","https://openalex.org/W4304091651","https://openalex.org/W4308236204","https://openalex.org/W4310443798","https://openalex.org/W4312294878","https://openalex.org/W4312323561","https://openalex.org/W4313002291","https://openalex.org/W4313178739","https://openalex.org/W4317433347","https://openalex.org/W4361185848","https://openalex.org/W4365450082","https://openalex.org/W4384159676","https://openalex.org/W4386071634","https://openalex.org/W4386117372","https://openalex.org/W4388802776","https://openalex.org/W4390534338","https://openalex.org/W4390873137","https://openalex.org/W4390873300","https://openalex.org/W4390874176","https://openalex.org/W4390874499","https://openalex.org/W4394593086","https://openalex.org/W4394597162","https://openalex.org/W4400527398","https://openalex.org/W4402727293","https://openalex.org/W4403646266","https://openalex.org/W6631190155","https://openalex.org/W6720019270","https://openalex.org/W6739716509","https://openalex.org/W6743259963","https://openalex.org/W6743737169","https://openalex.org/W6745560452","https://openalex.org/W6764045775","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6775168144","https://openalex.org/W6791353385","https://openalex.org/W6791683125","https://openalex.org/W6796788208","https://openalex.org/W6798035714","https://openalex.org/W6798475850","https://openalex.org/W6803273911","https://openalex.org/W6810067902","https://openalex.org/W6810852863","https://openalex.org/W6856810357"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Generative":[0],"Adversarial":[1],"Networks":[2],"(GANs)":[3],"have":[4],"found":[5],"applications":[6],"in":[7,119],"image":[8],"editing.":[9,147],"However,":[10],"GANs":[11],"tend":[12],"to":[13,55,94,107,141],"synthesize":[14],"and":[15,149,163,172],"manipulate":[16],"global":[17,59,142,173],"features,":[18,143],"such":[19,28,144],"as":[20,29,43,145],"age,":[21],"rather":[22],"than":[23,165],"focusing":[24],"on":[25,76,133,179],"local":[26,61,134,171],"features":[27,41,96],"facial":[30],"wrinkles.":[31],"Consequently,":[32],"when":[33],"a":[34,48,53,57,68,77,84,98,157],"specific":[35,58,78],"wrinkle":[36],"is":[37,117,132,177],"edited,":[38],"all":[39],"age-related":[40],"change":[42],"well.":[44],"This":[45,88],"paper":[46],"proposes":[47],"new":[49],"method":[50,65,137,155],"that":[51,153],"allows":[52],"GAN":[54,70,112,125],"learn":[56,95],"or":[60],"disentangled":[62,86],"edit.":[63],"The":[64,175],"involves":[66],"fine-tuning":[67],"pre-trained":[69],"using":[71],"two":[72],"discriminators,":[73],"each":[74],"trained":[75],"dataset":[79],"representing":[80],"distinct":[81],"states":[82],"of":[83,123],"single":[85],"feature.":[87],"approach":[89],"facilitates":[90],"the":[91,103,114,120,124],"generator\u2019s":[92],"ability":[93],"along":[97],"defined":[99,118],"editing":[100,115],"direction":[101,116],"within":[102],"latent":[104,126],"space.":[105,127],"Importantly,":[106],"avoid":[108],"interfering":[109],"with":[110],"prior":[111],"knowledge,":[113],"meaningless":[121],"dimension":[122],"Although":[128],"our":[129,136,154],"primary":[130],"focus":[131],"editing,":[135],"can":[138],"be":[139],"extended":[140],"age":[146],"Quantitative":[148],"qualitative":[150],"results":[151],"show":[152],"provides":[156],"better":[158],"balance":[159],"between":[160],"feature":[161],"accuracy":[162],"disentanglement":[164],"other":[166],"state-of-the-art":[167],"methods":[168],"for":[169],"both":[170],"features.":[174],"code":[176],"available":[178],"GitHub:":[180],"https://github.com/Neilstid/JanusGAN.":[181]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}