{"id":"https://openalex.org/W4210787057","doi":"https://doi.org/10.1109/fg52635.2021.9667042","title":"Stylized Text-to-Fashion Image Generation","display_name":"Stylized Text-to-Fashion Image Generation","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4210787057","doi":"https://doi.org/10.1109/fg52635.2021.9667042"},"language":"en","primary_location":{"id":"doi:10.1109/fg52635.2021.9667042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9667042","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","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/A5101967857","display_name":"Huixian Zhang","orcid":"https://orcid.org/0000-0002-6064-0718"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huixian Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101508520","display_name":"Shuhui Jiang","orcid":"https://orcid.org/0000-0002-7794-0653"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuhui Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005819096","display_name":"Yun Fu","orcid":"https://orcid.org/0000-0002-5098-2853"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yun Fu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University, Boston, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101967857"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.1307,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52260945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9868000149726868,"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/stylized-fact","display_name":"Stylized fact","score":0.9200594425201416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7821842432022095},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6962234377861023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6617410182952881},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6459103226661682},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6087473630905151},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.5970451831817627},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5806706547737122},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5076967477798462},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5033807158470154},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.495721697807312},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4150505065917969},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.414950966835022},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09049898386001587}],"concepts":[{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.9200594425201416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7821842432022095},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6962234377861023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6617410182952881},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6459103226661682},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6087473630905151},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.5970451831817627},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5806706547737122},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5076967477798462},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5033807158470154},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.495721697807312},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4150505065917969},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.414950966835022},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09049898386001587},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg52635.2021.9667042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9667042","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","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":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1959608418","https://openalex.org/W2125389028","https://openalex.org/W2133665775","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2331128040","https://openalex.org/W2405756170","https://openalex.org/W2466740836","https://openalex.org/W2471768434","https://openalex.org/W2523978282","https://openalex.org/W2559085405","https://openalex.org/W2598915960","https://openalex.org/W2687693326","https://openalex.org/W2739625297","https://openalex.org/W2771558241","https://openalex.org/W2885537606","https://openalex.org/W2951523806","https://openalex.org/W2953318193","https://openalex.org/W2962770929","https://openalex.org/W2962819541","https://openalex.org/W2963163163","https://openalex.org/W2963448913","https://openalex.org/W2963630103","https://openalex.org/W2963759896","https://openalex.org/W2964002510","https://openalex.org/W2964050021","https://openalex.org/W2964094136","https://openalex.org/W2964313012","https://openalex.org/W2964318046","https://openalex.org/W2964321647","https://openalex.org/W2984809863","https://openalex.org/W2997227394","https://openalex.org/W3033702017","https://openalex.org/W3035316078","https://openalex.org/W4294643831","https://openalex.org/W4300838842","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6639824700","https://openalex.org/W6640963894","https://openalex.org/W6678815747","https://openalex.org/W6702130928","https://openalex.org/W6713645886","https://openalex.org/W6728889164","https://openalex.org/W6738824914","https://openalex.org/W6740327194","https://openalex.org/W6745554073","https://openalex.org/W6745560452"],"related_works":["https://openalex.org/W2529311304","https://openalex.org/W4248275646","https://openalex.org/W2992609826","https://openalex.org/W3124809058","https://openalex.org/W2552900035","https://openalex.org/W2162875951","https://openalex.org/W2062875858","https://openalex.org/W4380047323","https://openalex.org/W2138330538","https://openalex.org/W2046581487"],"abstract_inverted_index":{"In":[0,146,172,183],"this":[1,71],"paper,":[2],"we":[3,112,150,176,185],"focus":[4,41,177],"on":[5,14,42,83,161,178],"the":[6,15,43,47,53,74,77,84,94,119,124,147,152,156,162,173,193],"problem":[7],"of":[8,49,76,126],"generating":[9],"realistic":[10],"stylized":[11,24,141],"fashion":[12,25,54],"images":[13,33,55],"human":[16],"body":[17,95,168],"under":[18],"a":[19,139,187],"given":[20],"text":[21,85,109,164],"description.":[22,51],"Existing":[23],"image":[26,128,143,159],"generation":[27,44,144],"works":[28,40,59],"mainly":[29],"require":[30],"additional":[31],"style":[32,197],"as":[34],"input":[35,163],"and":[36,63,93,97,166,170,181,206,221],"guidance.":[37],"Very":[38],"few":[39],"only":[45],"in":[46],"context":[48],"textual":[50],"And":[52],"generated":[56,78,157],"by":[57,137],"these":[58,135],"usually":[60],"lack":[61],"stylization":[62],"authenticity.":[64],"There":[65],"are":[66,208],"two":[67],"main":[68],"challenges":[69],"to":[70,103,195],"problem.":[72],"Firstly,":[73],"shape":[75,96,169],"garment":[79],"should":[80],"vary":[81],"based":[82,160],"description":[86,165],"(e.g.,":[87],"long":[88],"sleeves,":[89,91],"short":[90],"sleeveless)":[92],"posture.":[98,171],"Second,":[99],"it":[100],"is":[101],"difficult":[102],"generate":[104],"real":[105,121,201],"textures":[106],"directly":[107],"from":[108,118,199],"descriptions.":[110],"Although":[111],"can":[113,130],"consider":[114],"borrowing":[115],"texture":[116],"information":[117],"auxiliary":[120],"clothing":[122,127,158],"images,":[123,202],"misalignment":[125],"shapes":[129,205],"degrade":[131],"performance.":[132],"We":[133],"address":[134],"changes":[136],"proposing":[138],"two-stage":[140],"text-to-fashion":[142],"framework.":[145],"first":[148],"stage,":[149,175],"predict":[151],"segmentation":[153],"map":[154],"for":[155],"original":[167],"second":[174],"rendering":[179],"colors":[180],"textures.":[182],"particular,":[184],"investigate":[186],"novel":[188],"spatial-style":[189],"loss":[190],"that":[191,213],"enables":[192],"generator":[194],"learn":[196],"distribution":[198],"text-related":[200],"even":[203],"if":[204],"postures":[207],"misaligned.":[209],"Extensive":[210],"experiments":[211],"demonstrate":[212],"our":[214],"proposed":[215],"method":[216],"outperforms":[217],"state-of-the-art":[218],"methods":[219],"quantitatively":[220],"qualitatively.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}