{"id":"https://openalex.org/W2896240508","doi":"https://doi.org/10.1145/3240508.3240618","title":"BeautyGAN","display_name":"BeautyGAN","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2896240508","doi":"https://doi.org/10.1145/3240508.3240618","mag":"2896240508"},"language":"en","primary_location":{"id":"doi:10.1145/3240508.3240618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM international conference on Multimedia","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/A5100416496","display_name":"Tingting Li","orcid":"https://orcid.org/0000-0003-0341-6821"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Li","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002060208","display_name":"Ruihe Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruihe Qian","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023845728","display_name":"Chao Dong","orcid":"https://orcid.org/0000-0003-2260-8079"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Dong","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330138","display_name":"Si Liu","orcid":"https://orcid.org/0000-0002-9180-2935"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842275","display_name":"Qiong Yan","orcid":"https://orcid.org/0009-0003-2942-267X"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Yan","raw_affiliation_strings":["SenseTime Research, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research, Shenzhen, China","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339293","display_name":"Wenwu Zhu","orcid":"https://orcid.org/0000-0003-2236-9290"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwu Zhu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-sen University, Guanghou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Guanghou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7578,"has_fulltext":false,"cited_by_count":251,"citation_normalized_percentile":{"value":0.9771762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"645","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9994000196456909,"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":0.9994000196456909,"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/T11019","display_name":"Image Enhancement Techniques","score":0.996399998664856,"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":0.7692680358886719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6021938323974609},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5343087911605835},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5009479522705078},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.42330995202064514},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.42199188470840454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3905189633369446},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3533802628517151}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7692680358886719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6021938323974609},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5343087911605835},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5009479522705078},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.42330995202064514},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.42199188470840454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3905189633369446},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3533802628517151},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3240508.3240618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240508.3240618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W275896340","https://openalex.org/W1686810756","https://openalex.org/W1868962909","https://openalex.org/W1916003155","https://openalex.org/W1976700763","https://openalex.org/W2028756773","https://openalex.org/W2099471712","https://openalex.org/W2121293528","https://openalex.org/W2125389028","https://openalex.org/W2161022057","https://openalex.org/W2331128040","https://openalex.org/W2339754110","https://openalex.org/W2342479552","https://openalex.org/W2502312327","https://openalex.org/W2519536754","https://openalex.org/W2550673061","https://openalex.org/W2555437177","https://openalex.org/W2560023338","https://openalex.org/W2605287558","https://openalex.org/W2611605760","https://openalex.org/W2616625561","https://openalex.org/W2740338697","https://openalex.org/W2742023617","https://openalex.org/W2772636387","https://openalex.org/W2963470893","https://openalex.org/W2963709863","https://openalex.org/W2963767194","https://openalex.org/W2963784072","https://openalex.org/W2963832775"],"related_works":["https://openalex.org/W2986947168","https://openalex.org/W3166978923","https://openalex.org/W3109545856","https://openalex.org/W2904276469","https://openalex.org/W2990774877","https://openalex.org/W2971888217","https://openalex.org/W2964287360","https://openalex.org/W3004088131","https://openalex.org/W2798873573","https://openalex.org/W4281389463"],"abstract_inverted_index":{"Facial":[0],"makeup":[1,7,13,76,177,195],"transfer":[2,27,35,83,111],"aims":[3],"to":[4,16,147,162],"translate":[5],"the":[6,87,109,160],"style":[8,44,82],"from":[9,48,120],"a":[10,175],"given":[11],"reference":[12],"face":[14,22,184],"image":[15],"another":[17],"non-makeup":[18],"one":[19],"while":[20],"preserving":[21],"identity.":[23,154],"Such":[24],"an":[25,100],"instance-level":[26,97,125,166],"problem":[28],"is":[29,41,45,78,112,127],"more":[30],"challenging":[31],"than":[32],"conventional":[33],"domain-level":[34,93,110],"tasks,":[36],"especially":[37],"when":[38],"paired":[39],"data":[40],"unavailable.":[42],"Makeup":[43],"also":[46,172],"different":[47],"global":[49,92],"styles":[50],"(e.g.,":[51],"paintings)":[52],"in":[53,99],"that":[54,116,179,189],"it":[55],"consists":[56,180],"of":[57,181],"several":[58],"local":[59,73,96,135],"styles/cosmetics,":[60],"including":[61],"eye":[62],"shadow,":[63],"lipstick,":[64],"foundation,":[65],"and":[66,70,74,95,143,152,197,202],"so":[67],"on.":[68],"Extracting":[69],"transferring":[71,199],"such":[72],"delicate":[75],"information":[77],"infeasible":[79],"for":[80],"existing":[81],"methods.":[84],"We":[85,138,171],"address":[86],"issue":[88],"by":[89,114,129],"incorporating":[90],"both":[91],"loss":[94,98,126,132,142,146],"dual":[101],"input/output":[102],"Generative":[103],"Adversarial":[104],"Network,":[105],"called":[106],"BeautyGAN.":[107],"Specifically,":[108],"ensured":[113],"discriminators":[115],"distinguish":[117],"generated":[118],"images":[119],"domains'":[121],"real":[122],"samples.":[123],"The":[124,155],"calculated":[128],"pixel-level":[130],"histogram":[131],"on":[133,165],"separate":[134],"facial":[136],"regions.":[137],"further":[139],"introduce":[140],"perceptual":[141],"cycle":[144],"consistency":[145],"generate":[148,192],"high":[149],"quality":[150],"faces":[151,196],"preserve":[153],"overall":[156],"objective":[157],"function":[158],"enables":[159],"network":[161],"learn":[163],"translation":[164],"through":[167],"unsupervised":[168],"adversarial":[169],"learning.":[170],"build":[173],"up":[174],"new":[176],"dataset":[178],"3834":[182],"high-resolution":[183],"images.":[185],"Extensive":[186],"experiments":[187],"show":[188],"BeautyGAN":[190],"could":[191],"visually":[193],"pleasant":[194],"accurate":[198],"results.":[200],"Data":[201],"code":[203],"are":[204],"available":[205],"at":[206],"http://liusi-group.com/projects/BeautyGAN.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":37},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":26},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2018-10-26T00:00:00"}
