{"id":"https://openalex.org/W4388233560","doi":"https://doi.org/10.1145/3581783.3612127","title":"FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design","display_name":"FashionDiff: A Controllable Diffusion Model Using Pairwise Fashion Elements for Intelligent Design","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388233560","doi":"https://doi.org/10.1145/3581783.3612127"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5101582553","display_name":"Han Yan","orcid":"https://orcid.org/0000-0001-7369-526X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Yan","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458457","display_name":"Haijun Zhang","orcid":"https://orcid.org/0000-0002-1648-0227"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijun Zhang","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087999139","display_name":"Xiangyu Mu","orcid":"https://orcid.org/0000-0001-6344-4803"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Mu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065547403","display_name":"Jicong Fan","orcid":"https://orcid.org/0000-0001-9665-0355"},"institutions":[{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jicong Fan","raw_affiliation_strings":["The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Shenzhen & Shenzhen Research Institute of Big Data, Shenzhen, China","institution_ids":["https://openalex.org/I4210116924","https://openalex.org/I4210099586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101582553"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":1.5422,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85440833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1401","last_page":"1411"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9909999966621399,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8043048977851868},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.6605287194252014},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5877060294151306},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5357982516288757},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5198476910591125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513393759727478},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5129349231719971},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.4690960645675659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3738744854927063},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26766103506088257},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11906346678733826}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043048977851868},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.6605287194252014},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5877060294151306},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5357982516288757},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5198476910591125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513393759727478},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5129349231719971},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.4690960645675659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3738744854927063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26766103506088257},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11906346678733826},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612127","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2032876031","display_name":null,"funder_award_id":"51502008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G31233193","display_name":null,"funder_award_id":"61832004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3277964991","display_name":null,"funder_award_id":"61972112,61832004,62106211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3757194791","display_name":null,"funder_award_id":"JCYJ20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G384178317","display_name":null,"funder_award_id":"02008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4107755031","display_name":null,"funder_award_id":"2021B1515020088","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5840073679","display_name":null,"funder_award_id":"61972112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5846107237","display_name":null,"funder_award_id":"T00120210002","funder_id":"https://openalex.org/F4320331102","funder_display_name":"Shenzhen Research Institute of Big Data"},{"id":"https://openalex.org/G5881942141","display_name":null,"funder_award_id":"202103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6022598629","display_name":null,"funder_award_id":"62106211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6138551615","display_name":null,"funder_award_id":"5150200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6360994640","display_name":null,"funder_award_id":"HITSZ","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6437360502","display_name":null,"funder_award_id":"2021032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320331102","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89"},{"id":"https://openalex.org/F4320333998","display_name":"Shenzhen Research Institute, City University of Hong Kong","ror":"https://ror.org/00xc0ma20"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W2194775991","https://openalex.org/W2962785568","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963800363","https://openalex.org/W2963890275","https://openalex.org/W3034214199","https://openalex.org/W3034600949","https://openalex.org/W3034814868","https://openalex.org/W3036167779","https://openalex.org/W3130073172","https://openalex.org/W3162926177","https://openalex.org/W3192835542","https://openalex.org/W3207608513","https://openalex.org/W3212516020","https://openalex.org/W4281485151","https://openalex.org/W4304892053","https://openalex.org/W4312497550","https://openalex.org/W4312893385","https://openalex.org/W4312933868","https://openalex.org/W4390873054","https://openalex.org/W6779823529","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W3188573563","https://openalex.org/W4287064674","https://openalex.org/W3201246199","https://openalex.org/W4362706942","https://openalex.org/W2950862326","https://openalex.org/W4226346550","https://openalex.org/W4294351586","https://openalex.org/W2805553723","https://openalex.org/W3015643106"],"abstract_inverted_index":{"The":[0],"process":[1],"of":[2,18,23,33,47,51,76,117,129,203,219,238],"fashion":[3,36,43,53,79,105,118,182,209],"design":[4],"involves":[5],"creative":[6],"expression":[7],"through":[8],"various":[9],"methods,":[10],"including":[11],"sketch":[12,130],"drawing,":[13],"brush":[14,136,240],"painting,":[15],"and":[16,20,31,60,123,131,212,223,243],"choices":[17],"textures":[19],"colors,":[21],"all":[22],"which":[24,62,157,196],"are":[25,63],"employed":[26],"to":[27,71,107,166,178,206],"characterize":[28],"the":[29,34,45,48,66,101,204,217,233],"originality":[30],"uniqueness":[32],"designed":[35],"items.":[37,110,210],"Despite":[38],"recent":[39],"advances":[40],"in":[41,74,104,127,236],"intelligence-driven":[42],"design,":[44],"complexity":[46],"diverse":[49,102],"elements":[50,103],"a":[52,85,95,114,151,186,190],"item,":[54],"such":[55,134],"as":[56,81,83,135],"its":[57],"texture,":[58],"color":[59],"shape,":[61],"associated":[64],"with":[65,120],"semantic":[67,143],"information":[68],"conveyed,":[69],"continues":[70],"present":[72],"challenges":[73],"terms":[75,128,237],"generating":[77],"high-quality":[78,180],"images":[80,119,235],"well":[82],"achieving":[84],"controllable":[86],"editing":[87],"process.":[88],"To":[89,141],"address":[90],"this":[91],"issue,":[92],"we":[93,112,149,184],"propose":[94],"unified":[96],"framework,":[97],"FashionDiff,":[98],"that":[99,225],"leverages":[100],"items":[106],"generate":[108,207],"new":[109],"Initially,":[111],"collected":[113],"large":[115],"number":[116],"multiple":[121],"categories":[122],"created":[124],"pairwise":[125,147],"data":[126],"additional":[132],"data,":[133],"areas,":[137,241],"textures,":[138,242],"or":[139],"colors.":[140,244],"eliminate":[142],"discrepancies":[144],"between":[145],"these":[146],"datasets,":[148],"introduce":[150],"feature":[152],"modulation":[153],"fusion":[154],"(FMFusion)":[155],"process,":[156],"enables":[158],"interactive":[159],"communication":[160],"among":[161],"different":[162,174,201],"images,":[163,183],"allowing":[164],"them":[165],"be":[167],"fused":[168],"into":[169,200],"latent":[170,198],"spaces":[171,199],"characterized":[172],"by":[173],"resolutions.":[175],"In":[176],"order":[177],"produce":[179],"editable":[181],"develop":[185],"generator":[187,205],"based":[188],"on":[189],"state-of-the-art":[191],"diffusion":[192],"model":[193,227],"called":[194],"FD-ControlNet,":[195],"integrates":[197],"layers":[202],"ready-to-wear":[208],"Qualitative":[211],"quantitative":[213],"experimental":[214],"results":[215],"demonstrate":[216],"effectiveness":[218],"our":[220,226],"proposed":[221],"method,":[222],"suggest":[224],"can":[228],"offer":[229],"flexible":[230],"control":[231],"over":[232],"generated":[234],"sketches,":[239]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}