{"id":"https://openalex.org/W4321020663","doi":"https://doi.org/10.1109/fg57933.2023.10042556","title":"TransFS: Face Swapping Using Transformer","display_name":"TransFS: Face Swapping Using Transformer","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020663","doi":"https://doi.org/10.1109/fg57933.2023.10042556"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5079314368","display_name":"Wei Cao","orcid":"https://orcid.org/0000-0002-4723-4715"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Cao","raw_affiliation_strings":["Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]},{"raw_affiliation_string":"Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399645","display_name":"Tianyi Wang","orcid":"https://orcid.org/0000-0003-2920-6099"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tianyi Wang","raw_affiliation_strings":["The University of Hong Kong,Department of Computer Science,Hong Kong,China","Department of Computer Science, The University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of Computer Science,Hong Kong,China","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058696702","display_name":"Anming Dong","orcid":"https://orcid.org/0000-0001-7470-5159"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anming Dong","raw_affiliation_strings":["School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]},{"raw_affiliation_string":"School of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044470103","display_name":"Minglei Shu","orcid":"https://orcid.org/0000-0002-7136-1538"},"institutions":[{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglei Shu","raw_affiliation_strings":["Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China"],"affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences),Shandong,China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]},{"raw_affiliation_string":"Shandong Artificial Intelligence Institite, Qilu University of Technology (Shandong Academy of Sciences), Shandong, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079314368"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.3657,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57137256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9991999864578247,"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":0.7669522762298584},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6729627251625061},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6381405591964722},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5823630094528198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5756087303161621},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5307754278182983},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5019676685333252},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.45284807682037354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4346970319747925},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.4340941607952118},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4323219954967499},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.39697277545928955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12511694431304932},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1088501513004303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669522762298584},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6729627251625061},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6381405591964722},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5823630094528198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5756087303161621},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5307754278182983},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5019676685333252},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.45284807682037354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4346970319747925},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.4340941607952118},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4323219954967499},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.39697277545928955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12511694431304932},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1088501513004303},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg57933.2023.10042556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1463577563","https://openalex.org/W2128793054","https://openalex.org/W2962785568","https://openalex.org/W2962898354","https://openalex.org/W2963073614","https://openalex.org/W2963644257","https://openalex.org/W2964449965","https://openalex.org/W2982058372","https://openalex.org/W2984700035","https://openalex.org/W2997095758","https://openalex.org/W3034301684","https://openalex.org/W3035574324","https://openalex.org/W3043844802","https://openalex.org/W3092709185","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3145724825","https://openalex.org/W3174171554","https://openalex.org/W3174831884","https://openalex.org/W3180355996","https://openalex.org/W3207918547","https://openalex.org/W4214684483","https://openalex.org/W4284964929","https://openalex.org/W4361003656","https://openalex.org/W4385245566","https://openalex.org/W4386928847","https://openalex.org/W6745560452"],"related_works":["https://openalex.org/W1545927159","https://openalex.org/W4296995023","https://openalex.org/W2070173637","https://openalex.org/W3118545013","https://openalex.org/W1516116847","https://openalex.org/W2412281349","https://openalex.org/W4212954839","https://openalex.org/W4241811109","https://openalex.org/W3169440385","https://openalex.org/W1634614468"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,63,109],"Transformer":[4,71,100],"based":[5,68],"face":[6,20,24,37,50,125,131,154,165],"swapping":[7,25,51,132,155,166],"model,":[8],"namely,":[9],"TransFS.":[10],"The":[11],"proposed":[12,114],"model":[13],"mainly":[14],"solves":[15],"two":[16,58],"current":[17],"problems":[18],"of":[19,34,42,91,138,142],"swapping:":[21],"1)":[22],"the":[23,35,43,99,117,123,129,136,143,174],"result":[26,133],"does":[27],"not":[28,151],"fully":[29],"preserve":[30],"pose":[31,139,178],"and":[32,79,140,179],"expression":[33,141,180],"target":[36,124,144],"as":[38],"expected;":[39],"2)":[40],"most":[41],"existing":[44],"models":[45],"fail":[46],"to":[47,87,103,115,127,183],"accomplish":[48],"high-quality":[49],"on":[52,69],"high-resolution":[53,89,168],"images.":[54,169],"To":[55],"address":[56],"these":[57],"challenges,":[59],"we":[60,82],"first":[61],"propose":[62],"Cross-":[64],"Window":[65],"Face":[66,110],"Encoder":[67],"Swin":[70],"that":[72],"learns":[73],"rich":[74],"facial":[75],"features":[76],"including":[77],"poses":[78],"expressions.":[80],"Then,":[81],"devise":[83],"an":[84],"Identity":[85],"Generator":[86],"reconstruct":[88],"images":[90,158],"specific":[92],"identity":[93,105,119],"with":[94,159],"high":[95],"quality":[96],"while":[97,134],"utilizing":[98],"attention":[101],"mechanism":[102],"increase":[104],"information":[106],"retention.":[107],"Finally,":[108],"Conversion":[111],"Module":[112],"is":[113],"transform":[116],"source":[118],"reconstructed":[120],"image":[121,126],"into":[122],"synthesize":[128],"final":[130],"maintaining":[135],"details":[137],"face.":[145],"Through":[146],"extensive":[147],"experiments,":[148],"our":[149,171],"method":[150,172],"only":[152],"accomplishes":[153,164],"for":[156,167],"low-resolution":[157],"arbitrary":[160],"identities,":[161],"but":[162],"also":[163],"Furthermore,":[170],"achieves":[173],"state-of-the-art":[175],"performance":[176],"in":[177],"controls":[181],"compared":[182],"other":[184],"methods.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}