{"id":"https://openalex.org/W7160944032","doi":"https://doi.org/10.48550/arxiv.2605.10127","title":"Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition","display_name":"Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition","publication_year":2026,"publication_date":"2026-05-11","ids":{"openalex":"https://openalex.org/W7160944032","doi":"https://doi.org/10.48550/arxiv.2605.10127"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.10127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10127","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.2605.10127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113321008","display_name":"Yu He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135969861","display_name":"Ting Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123040045","display_name":"Yichun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yichun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115598343","display_name":"Lichen Ma","orcid":"https://orcid.org/0000-0003-3817-2572"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Lichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035365738","display_name":"Xinyuan Shan","orcid":"https://orcid.org/0000-0001-5458-3975"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan, Xinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135936066","display_name":"Jingling Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Jingling","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135925808","display_name":"Yu Shi","orcid":"https://orcid.org/0009-0008-0166-9669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135927162","display_name":"Junshi Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Junshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135912563","display_name":"Yan Li","orcid":"https://orcid.org/0000-0002-6336-0981"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yan","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":0.954200029373169,"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":0.954200029373169,"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":0.016599999740719795,"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":0.008100000210106373,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5755000114440918},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47380000352859497},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42719998955726624},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4115999937057495},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.38670000433921814},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.353300005197525}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555000185966492},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4284999966621399},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4115999937057495},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.34459999203681946},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32739999890327454},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3142000138759613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C163173736","wikidata":"https://www.wikidata.org/wiki/Q3308558","display_name":"Key generation","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.27630001306533813},{"id":"https://openalex.org/C3018907156","wikidata":"https://www.wikidata.org/wiki/Q7785058","display_name":"Third generation","level":2,"score":0.25029999017715454},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.10127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10127","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.2605.10127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.10127","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"research":[1],"work":[2],"on":[3,8,123,177],"fashion":[4],"outfit":[5,28,156],"generation":[6,29,63,85,129,173],"focuses":[7],"promoting":[9],"visual":[10,82,188],"consistency":[11],"of":[12,27,39,64,98,152,169,185,195],"garments":[13],"by":[14,113],"leveraging":[15],"key":[16],"information":[17],"from":[18],"reference":[19],"image":[20,146],"and":[21,36,57,77,81,120,139,160,166,180],"text":[22,80,119],"prompt.":[23],"However,":[24],"the":[25,61,79,95,110,115,126,135,144,149,183],"potential":[26],"remains":[30],"underexplored,":[31],"requiring":[32],"comprehensive":[33],"e-commercial":[34],"dataset":[35,159],"elaborative":[37],"utilization":[38],"multi-modal":[40,99,111,170],"condition.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,66,88],"propose":[46],"a":[47,68,103,164],"brand-new":[48],"e-commerce":[49],"dataset,":[50],"named":[51],"Fashion130k,":[52],"with":[53,70],"various":[54],"occasions,":[55],"models,":[56],"garment":[58],"types.":[59],"For":[60],"consistent":[62,155],"garment,":[65],"design":[67],"framework":[69,162],"Unified":[71],"Multi-modal":[72],"Condition":[73],"(UMC)":[74],"to":[75,93,108,133],"align":[76,109],"integrate":[78],"prompts":[83,138,153,171],"into":[84],"model.":[86],"Specifically,":[87],"explore":[89],"an":[90],"embedding":[91],"refiner":[92],"extract":[94],"unified":[96,124],"embeddings":[97,112],"prompts,":[100],"within":[101],"which":[102],"Fusion":[104],"Transformer":[105],"is":[106,131],"proposed":[107,161],"adjusting":[114],"modality":[116],"gap":[117],"between":[118,137],"image.":[121],"Based":[122],"embeddings,":[125],"attention":[127],"in":[128,187],"model":[130],"redesigned":[132],"emphasis":[134],"correlations":[136],"noise":[140,145],"image,":[141],"inducing":[142],"that":[143,194],"can":[147],"select":[148],"pivotal":[150],"tokens":[151],"for":[154,172],"generation.":[157],"Our":[158],"offer":[163],"general":[165],"nuanced":[167],"exploration":[168],"models.":[174],"Extensive":[175],"experiments":[176],"real-world":[178],"applications":[179],"benchmark":[181],"demonstrate":[182],"effectiveness":[184],"UMC":[186],"consistency,":[189],"achieving":[190],"promising":[191],"result":[192],"than":[193],"SoTA":[196],"methods.":[197]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}
