{"id":"https://openalex.org/W4405845616","doi":"https://doi.org/10.1109/wifs61860.2024.10810690","title":"TGIF: Text-Guided Inpainting Forgery Dataset","display_name":"TGIF: Text-Guided Inpainting Forgery Dataset","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4405845616","doi":"https://doi.org/10.1109/wifs61860.2024.10810690"},"language":"en","primary_location":{"id":"doi:10.1109/wifs61860.2024.10810690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs61860.2024.10810690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://biblio.ugent.be/publication/01JJ1HATJEAH77FC0BKE0BZGC6/file/01JJ1HDC7H5JTS5J4A59B39X24.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069780111","display_name":"Hannes Mareen","orcid":"https://orcid.org/0000-0002-0660-3190"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hannes Mareen","raw_affiliation_strings":["Ghent University – imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University – imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018338482","display_name":"Dimitrios Karageorgiou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Karageorgiou","raw_affiliation_strings":["Information Technologies Institute, CERTH,Thessaloniki,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048527990","display_name":"Glenn Van Wallendael","orcid":"https://orcid.org/0000-0001-9530-3466"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Glenn Van Wallendael","raw_affiliation_strings":["Ghent University – imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University – imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066816962","display_name":"Peter Lambert","orcid":"https://orcid.org/0000-0001-5313-4158"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Peter Lambert","raw_affiliation_strings":["Ghent University – imec,IDLab,Ghent,Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ghent University – imec,IDLab,Ghent,Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013616365","display_name":"Symeon Papadopoulos","orcid":"https://orcid.org/0000-0002-5441-7341"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]},{"id":"https://openalex.org/I4210134249","display_name":"Centre for Research and Technology Hellas","ror":"https://ror.org/03bndpq63","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210134249"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Symeon Papadopoulos","raw_affiliation_strings":["Information Technologies Institute, CERTH,Thessaloniki,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, CERTH,Thessaloniki,Greece","institution_ids":["https://openalex.org/I4210093649","https://openalex.org/I4210134249"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4884,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90739667,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9864000082015991,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9864000082015991,"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/inpainting","display_name":"Inpainting","score":0.8390791416168213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6540866494178772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.356665700674057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15860328078269958}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8390791416168213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6540866494178772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.356665700674057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15860328078269958}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wifs61860.2024.10810690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wifs61860.2024.10810690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Workshop on Information Forensics and Security (WIFS)","raw_type":"proceedings-article"},{"id":"pmh:oai:archive.ugent.be:01JJ1HATJEAH77FC0BKE0BZGC6","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01JJ1HATJEAH77FC0BKE0BZGC6","pdf_url":"https://biblio.ugent.be/publication/01JJ1HATJEAH77FC0BKE0BZGC6/file/01JJ1HDC7H5JTS5J4A59B39X24.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9798350364422","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.5281/zenodo.14050608","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.14050608","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"pmh:oai:archive.ugent.be:01JJ1HATJEAH77FC0BKE0BZGC6","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-01JJ1HATJEAH77FC0BKE0BZGC6","pdf_url":"https://biblio.ugent.be/publication/01JJ1HATJEAH77FC0BKE0BZGC6/file/01JJ1HDC7H5JTS5J4A59B39X24.pdf","source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9798350364422","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405845616.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2737955903","https://openalex.org/W2754213847","https://openalex.org/W2888338418","https://openalex.org/W2912648825","https://openalex.org/W2948407537","https://openalex.org/W2985705680","https://openalex.org/W3034530968","https://openalex.org/W3034577585","https://openalex.org/W3034795015","https://openalex.org/W3082623289","https://openalex.org/W3108650314","https://openalex.org/W3136675246","https://openalex.org/W3159937784","https://openalex.org/W3187104202","https://openalex.org/W3197106219","https://openalex.org/W4206589716","https://openalex.org/W4225554547","https://openalex.org/W4226014430","https://openalex.org/W4308234128","https://openalex.org/W4312933868","https://openalex.org/W4375869427","https://openalex.org/W4382912979","https://openalex.org/W4385466011","https://openalex.org/W4386071604","https://openalex.org/W4386071953","https://openalex.org/W4386075803","https://openalex.org/W4386075954","https://openalex.org/W4386083151","https://openalex.org/W4386180266","https://openalex.org/W4388858946","https://openalex.org/W4390235469","https://openalex.org/W4390873235","https://openalex.org/W4391274965","https://openalex.org/W4394596921","https://openalex.org/W4399261681","https://openalex.org/W4402716164","https://openalex.org/W4402904186","https://openalex.org/W4404002774","https://openalex.org/W6775642233","https://openalex.org/W6810940779","https://openalex.org/W6811013733","https://openalex.org/W6843772381","https://openalex.org/W6850607732","https://openalex.org/W6851932778","https://openalex.org/W6860899626","https://openalex.org/W6866787799"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W2244018504","https://openalex.org/W4242046654","https://openalex.org/W3174923100","https://openalex.org/W3134074939","https://openalex.org/W2135359786"],"abstract_inverted_index":{"Digital":[0],"image":[1,24,63,92,97],"manipulation":[2],"has":[3],"become":[4],"increasingly":[5],"accessible":[6],"and":[7,89,95,113,119,127,168,207,218,223],"realistic":[8],"with":[9,27,211],"the":[10,46,50,55,59,73,87,152,162,194,212],"advent":[11],"of":[12,82,91,196,214],"generative":[13,205],"AI":[14],"technologies.":[15],"Recent":[16],"developments":[17],"allow":[18],"for":[19,34],"text-guided":[20],"inpainting,":[21],"making":[22],"sophisticated":[23],"edits":[25],"possible":[26],"minimal":[28],"effort.":[29],"This":[30,70],"poses":[31],"new":[32],"challenges":[33],"digital":[35],"media":[36],"forensics.":[37],"For":[38],"example,":[39],"diffusion":[40],"model-based":[41],"approaches":[42],"could":[43],"either":[44],"splice":[45],"inpainted":[47,145,154,163],"region":[48],"into":[49],"original":[51],"image,":[52],"or":[53],"regenerate":[54],"entire":[56],"image.":[57],"In":[58,189],"latter":[60],"case,":[61],"traditional":[62,133,148],"forgery":[64,93],"localization":[65,94],"(IFL)":[66],"methods":[67,129,135,170],"typically":[68],"fail.":[69],"paper":[71],"introduces":[72],"Text-Guided":[74],"Inpainting":[75],"Forgery":[76],"(TGIF)":[77],"dataset,":[78],"a":[79],"comprehensive":[80],"collection":[81],"images":[83,155],"designed":[84],"to":[85,142,156,174,182,209],"support":[86],"training":[88],"evaluation":[90],"synthetic":[96],"detection":[98],"(SID)":[99],"methods.":[100,220],"The":[101,221],"TGIF":[102],"dataset":[103,222],"includes":[104],"approximately":[105],"75k":[106],"forged":[107],"images,":[108,139],"originating":[109],"from":[110],"popular":[111],"open-source":[112],"commercial":[114],"methods,":[115],"namely":[116],"SD2,":[117],"SDXL,":[118],"Adobe":[120],"Firefly.":[121],"We":[122],"benchmark":[123],"several":[124],"state-of-the-art":[125,197],"IFL":[126,134,167,217],"SID":[128,149,169,219],"on":[130,199],"TGIF.":[131],"Whereas":[132],"can":[136,225],"detect":[137,143,151],"spliced":[138],"they":[140,178],"fail":[141,171],"regenerated":[144,153],"images.":[146],"Moreover,":[147],"may":[150],"be":[157,226],"fake,":[158],"but":[159],"cannot":[160],"localize":[161],"area.":[164],"Finally,":[165],"both":[166],"when":[172],"exposed":[173],"stronger":[175],"compression,":[176],"while":[177],"are":[179],"less":[180],"robust":[181],"modern":[183,204],"compression":[184],"algorithms,":[185],"such":[186],"as":[187],"WEBP.":[188],"conclusion,":[190],"this":[191],"work":[192],"demonstrates":[193],"inefficiency":[195],"detectors":[198],"local":[200],"manipulations":[201],"performed":[202],"by":[203],"approaches,":[206],"aspires":[208],"help":[210],"development":[213],"more":[215],"capable":[216],"code":[224],"downloaded":[227],"at":[228],"https://github.com/IDLabMedia/tgif-dataset.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}