{"id":"https://openalex.org/W4402661229","doi":"https://doi.org/10.1109/tifs.2024.3461958","title":"GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning","display_name":"GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402661229","doi":"https://doi.org/10.1109/tifs.2024.3461958"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2024.3461958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3461958","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5053741734","display_name":"Yaning Zhang","orcid":"https://orcid.org/0000-0001-8442-2777"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaning Zhang","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103099781","display_name":"Zitong Yu","orcid":"https://orcid.org/0000-0003-0422-6616"},"institutions":[{"id":"https://openalex.org/I4396570619","display_name":"Great Bay University","ror":"https://ror.org/01hdgge16","country_code":null,"type":"education","lineage":["https://openalex.org/I4396570619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zitong Yu","raw_affiliation_strings":["School of Computing and Information Technology, Great Bay University, Dongguan, China"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Technology, Great Bay University, Dongguan, China","institution_ids":["https://openalex.org/I4396570619"]}]},{"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/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tianyi Wang","raw_affiliation_strings":["College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore"],"affiliations":[{"raw_affiliation_string":"College of Computing and Data Science, Nanyang Technological University, Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558286","display_name":"Xiaobin Huang","orcid":"https://orcid.org/0009-0004-7645-8875"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Huang","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019313200","display_name":"Linlin Shen","orcid":"https://orcid.org/0000-0003-1420-0815"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Shen","raw_affiliation_strings":["Computer Vision Institute, College of Computer Science and Software Engineering, the National Engineering Laboratory for Big Data System Computing Technology, and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Computer Vision Institute, College of Computer Science and Software Engineering, the National Engineering Laboratory for Big Data System Computing Technology, and Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048947531","display_name":"Zan Gao","orcid":"https://orcid.org/0000-0003-2182-5741"},"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":false,"raw_author_name":"Zan Gao","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I4210142748","https://openalex.org/I152269853"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102497048","display_name":"Jianfeng Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I13591777","display_name":"University of Nottingham Ningbo China","ror":"https://ror.org/03y4dt428","country_code":"CN","type":"education","lineage":["https://openalex.org/I13591777","https://openalex.org/I142263535"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Ren","raw_affiliation_strings":["School of Computer Science, University of Nottingham Ningbo China (UNNC), Ningbo, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham Ningbo China (UNNC), Ningbo, China","institution_ids":["https://openalex.org/I13591777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5053741734"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":2.1053,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88636307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":null,"first_page":"8559","last_page":"8572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9343000054359436,"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":0.8318400382995605},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.74005526304245},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6412438154220581},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5789710879325867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5539271235466003},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5450664758682251},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5213488340377808},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39892542362213135}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318400382995605},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.74005526304245},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6412438154220581},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5789710879325867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5539271235466003},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5450664758682251},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5213488340377808},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39892542362213135},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2024.3461958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2024.3461958","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1141204904","display_name":null,"funder_award_id":"2023A1515010688","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5525394938","display_name":null,"funder_award_id":"23JCZDJC00280","funder_id":"https://openalex.org/F4320323993","funder_display_name":"Natural Science Foundation of Tianjin City"},{"id":"https://openalex.org/G583588433","display_name":null,"funder_award_id":"62372325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7041006821","display_name":null,"funder_award_id":"82261138629","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G809398285","display_name":null,"funder_award_id":"62306061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8442882701","display_name":null,"funder_award_id":"JCYJ20220531101412030","funder_id":"https://openalex.org/F4320329174","funder_display_name":"Shenzhen Municipal Science and Technology Innovation Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323993","display_name":"Natural Science Foundation of Tianjin City","ror":null},{"id":"https://openalex.org/F4320329174","display_name":"Shenzhen Municipal Science and Technology Innovation Council","ror":"https://ror.org/017n8df75"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2003370853","https://openalex.org/W2017745767","https://openalex.org/W2029061296","https://openalex.org/W2031614119","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2301937176","https://openalex.org/W2531409750","https://openalex.org/W2794857359","https://openalex.org/W2889985731","https://openalex.org/W2906666325","https://openalex.org/W2962770929","https://openalex.org/W2963684180","https://openalex.org/W2982058372","https://openalex.org/W3006276840","https://openalex.org/W3034214108","https://openalex.org/W3034713808","https://openalex.org/W3034795015","https://openalex.org/W3034900344","https://openalex.org/W3035063907","https://openalex.org/W3035574324","https://openalex.org/W3036167779","https://openalex.org/W3099319035","https://openalex.org/W3128609017","https://openalex.org/W3151130473","https://openalex.org/W3154326567","https://openalex.org/W3174656926","https://openalex.org/W3174807077","https://openalex.org/W3178572954","https://openalex.org/W3179508259","https://openalex.org/W3204663154","https://openalex.org/W3217030260","https://openalex.org/W4206030296","https://openalex.org/W4214684483","https://openalex.org/W4221153098","https://openalex.org/W4287758545","https://openalex.org/W4302011534","https://openalex.org/W4309763233","https://openalex.org/W4312551140","https://openalex.org/W4312933868","https://openalex.org/W4313304691","https://openalex.org/W4385245566","https://openalex.org/W4385815499","https://openalex.org/W4386071953","https://openalex.org/W4386075845","https://openalex.org/W4386075856","https://openalex.org/W4386075893","https://openalex.org/W4386076635","https://openalex.org/W4387987063","https://openalex.org/W4390873235","https://openalex.org/W4393300271","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6745560452","https://openalex.org/W6762718338","https://openalex.org/W6779823529","https://openalex.org/W6784810453","https://openalex.org/W6790220185","https://openalex.org/W6809883122","https://openalex.org/W6838697126","https://openalex.org/W6844944907","https://openalex.org/W6848056488","https://openalex.org/W6862249728"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W2098693229","https://openalex.org/W2384651879"],"abstract_inverted_index":{"The":[0,66],"rapid":[1],"advancement":[2,115],"of":[3,40,70,116,124,209],"photorealistic":[4],"generators":[5,130],"has":[6],"reached":[7],"a":[8,38,82,103,121],"critical":[9],"juncture":[10],"where":[11],"the":[12,46,60,114,133,141,190,207,210],"discrepancy":[13],"between":[14],"authentic":[15],"and":[16,24,68,80,106,136,144,169,173,176,199,218,222],"manipulated":[17],"images":[18,71],"is":[19],"increasingly":[20],"indistinguishable.":[21],"Thus,":[22],"benchmarking":[23],"advancing":[25],"techniques":[26],"detecting":[27],"digital":[28],"manipulation":[29,142],"become":[30],"an":[31,158,183],"urgent":[32],"issue.":[33],"Although":[34],"there":[35],"have":[36,76],"been":[37,77],"number":[39,123],"publicly":[41],"available":[42,226],"face":[43,86],"forgery":[44,47,87,95,125,178],"datasets,":[45],"faces":[48,126],"are":[49],"mostly":[50],"generated":[51,72,127],"using":[52],"GAN-based":[53],"synthesis":[54],"technology,":[55],"which":[56,119],"does":[57],"not":[58],"involve":[59],"most":[61],"recent":[62],"technologies":[63],"like":[64,215],"diffusion.":[65],"diversity":[67],"quality":[69],"by":[73,128],"diffusion":[74],"models":[75],"significantly":[78],"improved":[79],"thus":[81],"much":[83],"more":[84,137],"challenging":[85],"dataset":[88],"shall":[89],"be":[90,225],"used":[91],"to":[92,112,149,165,188],"evaluate":[93],"SOTA":[94,151],"detection":[96,204],"literature.":[97],"In":[98,147],"this":[99],"paper,":[100],"we":[101,156,181],"propose":[102],"large-scale,":[104],"diverse,":[105],"fine-grained":[107],"high-fidelity":[108],"dataset,":[109],"namely":[110],"GenFace,":[111],"facilitate":[113],"deepfake":[117],"detection,":[118],"contains":[120],"large":[122],"advanced":[129],"such":[131],"as":[132],"diffusion-based":[134],"model":[135,205],"detailed":[138],"labels":[139],"about":[140],"approaches":[143,152],"adopted":[145],"generators.":[146],"addition":[148],"evaluating":[150],"on":[153,212],"our":[154,203],"benchmark,":[155],"design":[157],"innovative":[159],"Cross":[160],"Appearance-Edge":[161,184],"Learning":[162],"(CAEL)":[163],"detector":[164],"capture":[166],"multi-grained":[167],"appearance":[168],"edge":[170],"global":[171],"representations,":[172],"detect":[174],"discriminative":[175],"general":[177],"traces.":[179],"Moreover,":[180],"devise":[182],"Cross-Attention":[185],"(AECA)":[186],"module":[187],"explore":[189],"various":[191],"integrations":[192],"across":[193],"two":[194],"domains.":[195],"Extensive":[196],"experiment":[197],"results":[198],"visualizations":[200],"show":[201],"that":[202],"outperforms":[206],"state":[208],"arts":[211],"different":[213],"settings":[214],"cross-generator,":[216],"cross-forgery,":[217],"cross-dataset":[219],"evaluations.":[220],"Code":[221],"datasets":[223],"will":[224],"at":[227],"<uri":[228],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[229],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Jenine-321/GenFace</uri>.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}