{"id":"https://openalex.org/W7160313576","doi":"https://doi.org/10.1109/wacv61042.2026.00027","title":"FAE-Net: Fashion Attribute Editing via Disentangled Latent Conditioning in Diffusion Models","display_name":"FAE-Net: Fashion Attribute Editing via Disentangled Latent Conditioning in Diffusion Models","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160313576","doi":"https://doi.org/10.1109/wacv61042.2026.00027"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5135347100","display_name":"P. Rajith Bhargav","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Rajith Bhargav","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017932558","display_name":"Gaurab Bhattacharya","orcid":"https://orcid.org/0000-0003-0244-2390"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurab Bhattacharya","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135415895","display_name":"B S Vivek","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B S Vivek","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135371837","display_name":"Jayavardhana Gubbi","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayavardhana Gubbi","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52359325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"201"},"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":0.7264000177383423,"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":0.7264000177383423,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.061400000005960464,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.03009999915957451,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/conditioning","display_name":"Conditioning","score":0.4505000114440918},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.3991999924182892},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3449000120162964},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2786000072956085},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.23569999635219574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5796999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5248000025749207},{"id":"https://openalex.org/C45262634","wikidata":"https://www.wikidata.org/wiki/Q5159291","display_name":"Conditioning","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2425999939441681},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.23569999635219574},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22050000727176666},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.21690000593662262}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2735001949","https://openalex.org/W2795117763","https://openalex.org/W2802650881","https://openalex.org/W2939645724","https://openalex.org/W2962785568","https://openalex.org/W2963626105","https://openalex.org/W2982445686","https://openalex.org/W2984809863","https://openalex.org/W3180355996","https://openalex.org/W3217030260","https://openalex.org/W4292793898","https://openalex.org/W4312715377","https://openalex.org/W4312933868","https://openalex.org/W4319299843","https://openalex.org/W4385271281","https://openalex.org/W4386076062","https://openalex.org/W4386076215","https://openalex.org/W4390872834","https://openalex.org/W4390873260","https://openalex.org/W4390873319","https://openalex.org/W4390873520","https://openalex.org/W4394593215","https://openalex.org/W4394597162","https://openalex.org/W4394597626","https://openalex.org/W4402727591","https://openalex.org/W4402753379","https://openalex.org/W4402753861","https://openalex.org/W4402753991","https://openalex.org/W4407450948","https://openalex.org/W4409262294","https://openalex.org/W4409262341","https://openalex.org/W4409263161"],"related_works":[],"abstract_inverted_index":{"Image":[0],"editing":[1,56,157],"using":[2],"generative":[3],"models":[4],"has":[5],"recently":[6],"advanced":[7],"through":[8],"GAN-":[9],"and":[10,44,58,84,103,132,154],"diffusion-based":[11],"techniques.":[12],"While":[13],"the":[14,92,97,101,106,114,118],"current":[15],"image":[16,24],"manipulation":[17,115],"methods":[18],"shows":[19],"considerable":[20],"performance":[21],"in":[22,49,100,117,127],"general":[23],"editing,":[25],"their":[26],"effectiveness":[27],"drops":[28],"when":[29],"extended":[30],"to":[31,38,54,95,112,159],"fashion":[32],"attribute":[33,60,86,124,135,156],"editing.":[34],"This":[35],"is":[36],"due":[37],"multiple":[39],"challenges":[40],"such":[41],"as":[42],"category-specific":[43,130],"overlapping":[45,121],"attributes,":[46],"inherent":[47,98],"entanglement":[48,99],"real-world":[50],"datasets":[51,144],"that":[52,77,146],"leads":[53],"degraded":[55],"quality":[57],"unintended":[59],"shifts.":[61],"To":[62],"address":[63],"these":[64],"challenges,":[65],"we":[66],"propose":[67],"FAE-Net":[68,128],"(Fashion":[69],"Attribute":[70],"Editing":[71],"Network),":[72],"a":[73],"latent":[74,80,93],"diffusion":[75,107],"framework":[76],"leverages":[78],"disentangled":[79],"projections":[81,94,111],"for":[82],"precise":[83],"reliable":[85],"manipulation.":[87],"Our":[88],"method":[89,149],"first":[90],"disentangles":[91],"mitigate":[96],"data":[102],"then":[104],"conditions":[105],"model":[108],"with":[109],"those":[110],"improve":[113],"control":[116],"presence":[119,125],"of":[120],"attributes.":[122],"The":[123],"detector":[126],"handles":[129],"attributes":[131],"prevents":[133],"invalid":[134],"manipulations":[136],"during":[137],"inference.":[138],"Extensive":[139],"experiments":[140],"on":[141],"three":[142],"large-scale":[143],"demonstrate":[145],"our":[147],"proposed":[148],"achieves":[150],"more":[151],"controllable,":[152],"disentangled,":[153],"faithful":[155],"compared":[158],"state-of-the-art":[160],"methods.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}