{"id":"https://openalex.org/W7131826129","doi":"https://doi.org/10.1109/sii64115.2026.11404641","title":"Automatic Sewing Pattern Generation from Garment Images Using Segmentation and Conditional GANs","display_name":"Automatic Sewing Pattern Generation from Garment Images Using Segmentation and Conditional GANs","publication_year":2026,"publication_date":"2026-01-11","ids":{"openalex":"https://openalex.org/W7131826129","doi":"https://doi.org/10.1109/sii64115.2026.11404641"},"language":null,"primary_location":{"id":"doi:10.1109/sii64115.2026.11404641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii64115.2026.11404641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/SICE International Symposium on System Integration (SII)","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/A5127121297","display_name":"Hikaru Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hikaru Suzuki","raw_affiliation_strings":["Chuo University,Precision Engineering Course, Graduate School of Science and Engineering,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Chuo University,Precision Engineering Course, Graduate School of Science and Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I96679780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127025022","display_name":"Alessandro Moro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alessandro Moro","raw_affiliation_strings":["RITECS Inc.,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"RITECS Inc.,Tokyo,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045114877","display_name":"Sarthak Pathak","orcid":"https://orcid.org/0000-0002-5271-1782"},"institutions":[{"id":"https://openalex.org/I171481255","display_name":"Shibaura Institute of Technology","ror":"https://ror.org/020wjcq07","country_code":"JP","type":"education","lineage":["https://openalex.org/I171481255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sarthak Pathak","raw_affiliation_strings":["Shibaura Institute of Technology,College of Engineering"],"affiliations":[{"raw_affiliation_string":"Shibaura Institute of Technology,College of Engineering","institution_ids":["https://openalex.org/I171481255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083854260","display_name":"Kazunori Umeda","orcid":"https://orcid.org/0000-0002-4458-4648"},"institutions":[{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Umeda","raw_affiliation_strings":["Chuo University,Faculty of Science and Engineering,Department of Precision Mechanics,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"Chuo University,Faculty of Science and Engineering,Department of Precision Mechanics,Tokyo,Japan","institution_ids":["https://openalex.org/I96679780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5127121297"],"corresponding_institution_ids":["https://openalex.org/I96679780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.9293722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"788","last_page":"793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.2556000053882599,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.2556000053882599,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.22120000422000885,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.14169999957084656,"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/segmentation","display_name":"Segmentation","score":0.7070000171661377},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6194999814033508},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47620001435279846},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4643000066280365},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4433000087738037},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3955000042915344}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7070000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6787999868392944},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6194999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551999807357788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5264999866485596},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.4325000047683716},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3955000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36820000410079956},{"id":"https://openalex.org/C91672089","wikidata":"https://www.wikidata.org/wiki/Q29583","display_name":"Fashion design","level":3,"score":0.3472999930381775},{"id":"https://openalex.org/C2992895212","wikidata":"https://www.wikidata.org/wiki/Q49013","display_name":"Sewing machine","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C2982969694","wikidata":"https://www.wikidata.org/wiki/Q7247859","display_name":"Production efficiency","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2989395177","wikidata":"https://www.wikidata.org/wiki/Q12684","display_name":"Fashion industry","level":3,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii64115.2026.11404641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sii64115.2026.11404641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/SICE International Symposium on System Integration (SII)","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":7,"referenced_works":["https://openalex.org/W2922273437","https://openalex.org/W2962766617","https://openalex.org/W2963073614","https://openalex.org/W4385245566","https://openalex.org/W4388513205","https://openalex.org/W4412773488","https://openalex.org/W4416676806"],"related_works":[],"abstract_inverted_index":{"An":[0],"automatic":[1],"method":[2,75,145],"for":[3,26,62],"generating":[4],"sewing":[5,22,93,118,137,166],"patterns":[6],"corresponding":[7,117],"to":[8,150],"dress":[9],"images":[10,114,120],"is":[11,32,126,146],"proposed":[12,74,144],"in":[13,122,169],"this":[14],"study.":[15],"In":[16,128],"garment":[17,27,78,105,113,124,152,170],"production,":[18],"the":[19,24,55,161],"creation":[20,168],"of":[21,57,100,112,148,165],"patterns,":[23],"blueprints":[25],"construction,":[28],"from":[29,49],"design":[30],"sketches":[31],"a":[33,77,91,130],"highly":[34],"complex":[35,104],"process":[36],"that":[37],"demands":[38],"substantial":[39],"expertise":[40],"and":[41,71,85,103,115,134,154,163],"experience.":[42],"Most":[43],"existing":[44],"studies":[45],"focus":[46],"on":[47],"learning":[48],"entire":[50],"garments;":[51],"however,":[52],"they":[53],"face":[54],"challenge":[56],"reduced":[58],"shape":[59],"reproduction":[60,99],"accuracy":[61,162],"small":[63,102],"parts":[64],"with":[65],"diverse":[66,151],"shapes,":[67],"such":[68],"as":[69],"collars":[70],"sleeves.":[72],"The":[73,143],"segments":[76],"image":[79],"into":[80,90],"three":[81],"main":[82],"parts\u2014bodice,":[83],"sleeve,":[84],"collar\u2014and":[86],"inputs":[87],"each":[88],"part":[89,131],"specialized":[92],"pattern":[94,119,138,167],"generation":[95,139],"model,":[96],"enabling":[97],"faithful":[98],"even":[101],"parts.":[106],"A":[107],"custom":[108],"training":[109],"dataset":[110],"consisting":[111],"their":[116],"used":[121],"actual":[123],"production":[125,171],"constructed.":[127],"addition,":[129],"segmentation":[132],"model":[133],"part-specific":[135],"GAN-based":[136],"models":[140],"are":[141],"developed.":[142],"capable":[147],"adapting":[149],"shapes":[153],"variations":[155],"across":[156],"parts,":[157],"thereby":[158],"enhancing":[159],"both":[160],"efficiency":[164],"workflows.":[172]},"counts_by_year":[],"updated_date":"2026-03-01T06:05:34.837733","created_date":"2026-02-28T00:00:00"}
