{"id":"https://openalex.org/W7155495585","doi":"https://doi.org/10.48550/arxiv.2604.21289","title":"AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing","display_name":"AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155495585","doi":"https://doi.org/10.48550/arxiv.2604.21289"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21289","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21289","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.21289","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103170948","display_name":"Wenmin Huang","orcid":"https://orcid.org/0000-0002-6655-903X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Wenmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134479973","display_name":"Weiqi Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Weiqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134487317","display_name":"Xiaochun Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Xiaochun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134509815","display_name":"Jiwu Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jiwu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.949999988079071,"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":0.949999988079071,"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/T11448","display_name":"Face recognition and analysis","score":0.019200000911951065,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.6984000205993652},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6312999725341797},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4505999982357025},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4311999976634979},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3817000091075897},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.3741999864578247},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.3693000078201294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130999803543091},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.6984000205993652},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6312999725341797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928999781608582},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4311999976634979},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3741999864578247},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32409998774528503},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.3237000107765198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3102000057697296},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.25690001249313354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21289","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21289","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21289","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21289","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Facial":[0],"attribute":[1,32,68,103,118,186],"editing":[2,43,104,187],"aims":[3],"to":[4,115,126],"modify":[5],"target":[6],"attributes":[7,193],"while":[8,134],"preserving":[9],"attribute-irrelevant":[10],"content":[11],"and":[12,31,88,120,158,188,200],"overall":[13],"image":[14,72,106,132],"fidelity.":[15],"Existing":[16],"GAN-based":[17,67],"methods":[18,35,196],"provide":[19],"favorable":[20],"controllability,":[21],"but":[22],"often":[23],"suffer":[24],"from":[25,105],"weak":[26],"alignment":[27,147],"between":[28,84],"style":[29,156,171],"codes":[30],"semantics.":[33],"Diffusion-based":[34],"can":[36],"synthesize":[37],"highly":[38],"realistic":[39],"images;":[40],"however,":[41],"their":[42],"precision":[44],"is":[45],"limited":[46],"by":[47,108,148],"the":[48,82,123,128,137,179],"entanglement":[49],"of":[50,191],"semantic":[51,140,163],"directions":[52],"among":[53],"different":[54],"attributes.":[55],"In":[56],"this":[57,99],"paper,":[58],"we":[59,101,144],"propose":[60],"AttDiff-GAN,":[61],"a":[62,110,166],"hybrid":[63],"framework":[64],"that":[65,178],"combines":[66],"manipulation":[69],"with":[70],"diffusion-based":[71],"generation.":[73],"A":[74],"key":[75],"challenge":[76],"in":[77,81,197],"such":[78],"integration":[79],"lies":[80],"inconsistency":[83],"one-step":[85],"adversarial":[86,112],"learning":[87,113],"multi-step":[89],"diffusion":[90,129],"denoising,":[91],"which":[92,151,160],"makes":[93],"effective":[94],"optimization":[95],"difficult.":[96],"To":[97],"address":[98],"issue,":[100],"decouple":[102],"synthesis":[107],"introducing":[109,149],"feature-level":[111],"scheme":[114],"learn":[116],"explicit":[117],"manipulation,":[119],"then":[121],"using":[122],"manipulated":[124],"features":[125],"guide":[127],"process":[130],"for":[131,168],"generation,":[133,157],"also":[135],"removing":[136],"reliance":[138],"on":[139,175],"direction-based":[141],"editing.":[142],"Moreover,":[143],"enhance":[145],"style-attribute":[146],"PriorMapper,":[150],"incorporates":[152],"facial":[153,185],"priors":[154],"into":[155],"RefineExtractor,":[159],"captures":[161],"global":[162],"relationships":[164],"through":[165],"Transformer":[167],"more":[169,183],"precise":[170],"extraction.":[172],"Experimental":[173],"results":[174],"CelebA-HQ":[176],"show":[177],"proposed":[180],"method":[181],"achieves":[182],"accurate":[184],"better":[189],"preservation":[190],"non-target":[192],"than":[194],"state-of-the-art":[195],"both":[198],"qualitative":[199],"quantitative":[201],"evaluations.":[202]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-25T00:00:00"}