{"id":"https://openalex.org/W4402979076","doi":"https://doi.org/10.1109/icme57554.2024.10687635","title":"Diff-IFL: Towards General Image Forgery Localization using Diffusion Probabilistic Model","display_name":"Diff-IFL: Towards General Image Forgery Localization using Diffusion Probabilistic Model","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979076","doi":"https://doi.org/10.1109/icme57554.2024.10687635"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687635","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","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/A5112166568","display_name":"Ping Xu","orcid":"https://orcid.org/0000-0002-5790-2545"},"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":true,"raw_author_name":"Ping Xu","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039213686","display_name":"Jiangqun Ni","orcid":"https://orcid.org/0000-0002-7520-9031"},"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":"Jiangqun Ni","raw_affiliation_strings":["Sun Yat-sen University,School of Cyber Science and Technology,Shenzhen,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Cyber Science and Technology,Shenzhen,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766053","display_name":"Ji\u00e4n Zhang","orcid":"https://orcid.org/0000-0002-0557-886X"},"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":"Jian Zhang","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101845708","display_name":"Yulin Zhang","orcid":"https://orcid.org/0009-0009-8290-1462"},"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":"Yulin Zhang","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080193660","display_name":"Shiyuan Tang","orcid":"https://orcid.org/0009-0002-1014-0659"},"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":"Shiyuan Tang","raw_affiliation_strings":["Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112166568"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09985712,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9164000153541565,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9078999757766724,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7510075569152832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589533090591431},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6381062269210815},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4839808940887451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47480717301368713},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.45311981439590454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3855140507221222},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09892076253890991}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7510075569152832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589533090591431},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6381062269210815},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4839808940887451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47480717301368713},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.45311981439590454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3855140507221222},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09892076253890991},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687635","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W2169439181","https://openalex.org/W2518397542","https://openalex.org/W2565639579","https://openalex.org/W2912648825","https://openalex.org/W3027377338","https://openalex.org/W3136675246","https://openalex.org/W3138516171","https://openalex.org/W3179308556","https://openalex.org/W3197106219","https://openalex.org/W4225554547","https://openalex.org/W4292828490","https://openalex.org/W4301524954","https://openalex.org/W4304080664","https://openalex.org/W4304142420","https://openalex.org/W4312642649","https://openalex.org/W4312981036","https://openalex.org/W4313121508","https://openalex.org/W4377708842","https://openalex.org/W4386075609","https://openalex.org/W4386075803","https://openalex.org/W4386075856","https://openalex.org/W6783713337","https://openalex.org/W6784094891","https://openalex.org/W6805335523"],"related_works":["https://openalex.org/W2494523064","https://openalex.org/W2943623134","https://openalex.org/W2002739602","https://openalex.org/W1968042686","https://openalex.org/W2897881820","https://openalex.org/W2345647014","https://openalex.org/W2201192772","https://openalex.org/W3136891595","https://openalex.org/W1964819397","https://openalex.org/W2539623612"],"abstract_inverted_index":{"With":[0],"wide":[1],"applications":[2],"of":[3,33,69],"image":[4,19],"editing":[5],"tools,":[6],"forged":[7],"images":[8,91],"have":[9],"become":[10],"a":[11,49,70,75,84,104],"great":[12],"public":[13,30],"concern.":[14],"Although":[15],"existing":[16],"methods":[17,139],"for":[18,37,57],"forgery":[20,113],"localization":[21,72,81],"(IFL)":[22],"could":[23],"achieve":[24],"fairly":[25],"good":[26],"results":[27],"on":[28,110],"several":[29],"datasets,":[31],"most":[32],"them":[34],"perform":[35],"unsatisfactorily":[36],"cross-dataset":[38],"evaluation":[39],"and":[40,74,92,140],"online":[41],"social":[42,145],"network":[43],"applications.":[44],"To":[45],"tackle":[46],"this":[47,65],"issue,":[48],"novel":[50],"coarse-to-fine":[51],"framework":[52],"using":[53],"Diffusion":[54],"probabilistic":[55],"model":[56],"Image":[58],"Forgery":[59],"Localization":[60],"(Diff-IFL)":[61],"is":[62],"proposed":[63],"in":[64],"paper,":[66],"which":[67],"consists":[68],"coarse":[71,80,94],"module":[73,82,100],"mask":[76,98,105,126],"diffusion":[77,99],"module.":[78],"The":[79],"employs":[83],"transformer-based":[85],"architecture":[86],"to":[87,120],"represent":[88],"the":[89,97,111,117,123,128],"tampered":[90],"generate":[93],"masks.":[95],"While":[96],"formulates":[101],"IFL":[102],"as":[103,116],"reconstruction":[106],"task,":[107],"it":[108],"relies":[109],"extracted":[112],"feature":[114],"representations":[115],"conditional":[118],"prior":[119],"gradually":[121],"recover":[122],"clean":[124],"ground-truth":[125],"from":[127],"noisy":[129],"mask.":[130],"Extensive":[131],"experiments":[132],"demonstrate":[133],"that":[134],"Diff-IFL":[135],"outperforms":[136],"other":[137],"SOTA":[138],"exhibits":[141],"superior":[142],"robustness":[143],"against":[144],"media":[146],"forgery.":[147]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}