{"id":"https://openalex.org/W7160332786","doi":"https://doi.org/10.1109/wacv61042.2026.00208","title":"Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation","display_name":"Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160332786","doi":"https://doi.org/10.1109/wacv61042.2026.00208"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00208","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/A5135369117","display_name":"Gayatri Deshmukh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gayatri Deshmukh","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013217373","display_name":"Somsubhra De","orcid":null},"institutions":[{"id":"https://openalex.org/I24676775","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49","country_code":"IN","type":"education","lineage":["https://openalex.org/I24676775"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Somsubhra De","raw_affiliation_strings":["IIT Madras,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Madras,India","institution_ids":["https://openalex.org/I24676775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026409083","display_name":"Chirag Sehgal","orcid":null},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chirag Sehgal","raw_affiliation_strings":["Delhi Technological University,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delhi Technological University,India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125518262","display_name":"Jishu Sen Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I56404289","display_name":"Indian Institute of Technology BHU","ror":"https://ror.org/01kh5gc44","country_code":"IN","type":"education","lineage":["https://openalex.org/I56404289","https://openalex.org/I91357014"]},{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jishu Sen Gupta","raw_affiliation_strings":["IIT (BHU),Varanasi,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT (BHU),Varanasi,India","institution_ids":["https://openalex.org/I56404289","https://openalex.org/I91357014"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012290807","display_name":"Sparsh Mittal","orcid":"https://orcid.org/0000-0002-2908-993X"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sparsh Mittal","raw_affiliation_strings":["IIT,Roorkee,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT,Roorkee,India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52842987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2094","last_page":"2103"},"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":0.863099992275238,"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":0.863099992275238,"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":0.02800000086426735,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.017400000244379044,"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/adapter","display_name":"Adapter (computing)","score":0.6244999766349792},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5788000226020813},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5016999840736389},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.42260000109672546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7203999757766724},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.6244999766349792},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5788000226020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351999998092651},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5016999840736389},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.42260000109672546},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3626999855041504},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3280999958515167},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00208","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":[{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2204750386","https://openalex.org/W2471768434","https://openalex.org/W2560647685","https://openalex.org/W2898088959","https://openalex.org/W2910710346","https://openalex.org/W2963073614","https://openalex.org/W2964050021","https://openalex.org/W2967819436","https://openalex.org/W3173998882","https://openalex.org/W4286611269","https://openalex.org/W4312933868","https://openalex.org/W4385795267","https://openalex.org/W4385872039","https://openalex.org/W4386072096","https://openalex.org/W4386075952","https://openalex.org/W4386242492","https://openalex.org/W4389959945","https://openalex.org/W4390873520","https://openalex.org/W4404625217","https://openalex.org/W4404782971","https://openalex.org/W4409367393","https://openalex.org/W7130697381","https://openalex.org/W7133185348","https://openalex.org/W7133193597"],"related_works":[],"abstract_inverted_index":{"Specialized":[0],"datasets":[1,208],"that":[2,84,175],"capture":[3],"the":[4,29,63,66,69,89,112,210],"fashion":[5,17,38,55,80,107,126,132],"industry\u2019s":[6],"rich":[7,101,125],"language":[8],"and":[9,40,49,59,72,99,121,134,173,197,206,222],"styling":[10],"elements":[11,75],"can":[12],"boost":[13],"progress":[14],"in":[15],"AI-driven":[16],"design.":[18],"We":[19,82],"present":[20],"FLORA":[21,90,109,205],"(Fashion":[22],"Language":[23],"Outfit":[24],"Representation":[25,153],"for":[26,220],"Apparel":[27],"Generation),":[28],"first":[30],"comprehensive":[31],"dataset":[32,67,91],"containing":[33],"4,330":[34],"curated":[35],"pairs":[36],"of":[37,106,114,119,188,212],"outfits":[39],"corresponding":[41],"textual":[42,104],"descriptions.":[43],"Each":[44],"description":[45],"utilizes":[46],"industry-specific":[47],"terminology":[48],"jargon":[50],"commonly":[51],"used":[52],"by":[53],"professional":[54],"designers,":[56],"providing":[57],"precise":[58],"detailed":[60],"insights":[61],"into":[62],"outfits.":[64],"Hence,":[65],"captures":[68],"delicate":[70],"features":[71],"subtle":[73],"stylistic":[74],"necessary":[76],"to":[77,96,136,140],"create":[78],"high-fidelity":[79],"designs.":[81,127],"demonstrate":[83],"fine-tuning":[85],"generative":[86],"models":[87,117],"on":[88,160,202],"significantly":[92],"enhances":[93],"their":[94,138],"capability":[95],"generate":[97],"accurate":[98],"stylistically":[100,124],"images":[102],"from":[103],"descriptions":[105],"sketches.":[108],"will":[110,129],"catalyze":[111],"creation":[113],"advanced":[115],"AI":[116],"capable":[118],"comprehending":[120],"producing":[122],"subtle,":[123],"It":[128],"also":[130],"help":[131],"designers":[133],"end-users":[135],"bring":[137],"ideas":[139],"life.":[141],"As":[142],"a":[143,155],"second":[144],"orthogonal":[145],"contribution,":[146],"we":[147],"introduce":[148],"NeRA":[149,179,213],"(Nonlinear":[150],"low-rank":[151],"Expressive":[152],"Adapter),":[154],"novel":[156],"adapter":[157],"architecture":[158],"based":[159],"Kolmogorov-Arnold":[161],"Networks":[162],"(KAN).":[163],"Unlike":[164],"traditional":[165],"PEFT":[166],"techniques":[167],"such":[168],"as":[169],"LoRA,":[170],"LoKR,":[171],"DoRA,":[172],"LoHA":[174],"use":[176],"MLP":[177],"adapters,":[178],"uses":[180],"learnable":[181],"spline-based":[182],"nonlinear":[183],"transformations,":[184],"enabling":[185],"superior":[186],"modeling":[187],"complex":[189],"semantic":[190,198],"relationships,":[191],"achieving":[192],"strong":[193],"fidelity,":[194],"faster":[195],"convergence":[196],"alignment.":[199],"Extensive":[200],"experiments":[201],"our":[203],"proposed":[204],"LAION-5B":[207],"validate":[209],"superiority":[211],"over":[214],"existing":[215],"adapters.":[216],"See":[217],"Project":[218],"page":[219],"data":[221],"code.":[223]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}