{"id":"https://openalex.org/W4280567629","doi":"https://doi.org/10.1109/tnnls.2022.3173295","title":"TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework","display_name":"TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4280567629","doi":"https://doi.org/10.1109/tnnls.2022.3173295","pmid":"https://pubmed.ncbi.nlm.nih.gov/35576416"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3173295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3173295","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5012800713","display_name":"Xue Dong","orcid":"https://orcid.org/0000-0002-5455-3618"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Dong","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-5455-3618","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072768866","display_name":"Xuemeng Song","orcid":"https://orcid.org/0000-0002-5274-4197"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemeng Song","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5274-4197","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722055","display_name":"Na Zheng","orcid":"https://orcid.org/0009-0006-9217-7808"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Zheng","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654190","display_name":"Jianlong Wu","orcid":"https://orcid.org/0000-0003-0247-5221"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Wu","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-0247-5221","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052295974","display_name":"Hongjun Dai","orcid":"https://orcid.org/0000-0002-1075-8750"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjun Dai","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-1075-8750","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-1476-0273","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1746,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7900648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"1","first_page":"246","last_page":"257"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9962000250816345,"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/T11448","display_name":"Face recognition and analysis","score":0.9822999835014343,"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/compatibility","display_name":"Compatibility (geochemistry)","score":0.895147442817688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6968823671340942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36668696999549866},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36073049902915955},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10460048913955688}],"concepts":[{"id":"https://openalex.org/C2778648169","wikidata":"https://www.wikidata.org/wiki/Q967768","display_name":"Compatibility (geochemistry)","level":2,"score":0.895147442817688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6968823671340942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36668696999549866},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36073049902915955},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10460048913955688},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3173295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3173295","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:35576416","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35576416","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1789959723","display_name":null,"funder_award_id":"62006140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2733153709","display_name":null,"funder_award_id":"62176137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7231895066","display_name":null,"funder_award_id":"U1936203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7395080110","display_name":null,"funder_award_id":"ZR2020QF106","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1901129140","https://openalex.org/W2025768430","https://openalex.org/W2150886314","https://openalex.org/W2436544366","https://openalex.org/W2579578355","https://openalex.org/W2737102415","https://openalex.org/W2767109396","https://openalex.org/W2795117763","https://openalex.org/W2798734012","https://openalex.org/W2807927576","https://openalex.org/W2905061579","https://openalex.org/W2905373637","https://openalex.org/W2911579932","https://openalex.org/W2912727434","https://openalex.org/W2913538332","https://openalex.org/W2953561866","https://openalex.org/W2954164237","https://openalex.org/W2955727475","https://openalex.org/W2956959730","https://openalex.org/W2961553857","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963249562","https://openalex.org/W2964050021","https://openalex.org/W2971316517","https://openalex.org/W2972003492","https://openalex.org/W2981464166","https://openalex.org/W2981868461","https://openalex.org/W2982108874","https://openalex.org/W2984112395","https://openalex.org/W2984809863","https://openalex.org/W2986945954","https://openalex.org/W2997672513","https://openalex.org/W2998458548","https://openalex.org/W2999127310","https://openalex.org/W3034229012","https://openalex.org/W3034366527","https://openalex.org/W3034821663","https://openalex.org/W3035579671","https://openalex.org/W3035689282","https://openalex.org/W3099462466","https://openalex.org/W3104731853","https://openalex.org/W3106459738","https://openalex.org/W3174873881","https://openalex.org/W4288797840","https://openalex.org/W6637373629","https://openalex.org/W6640963894","https://openalex.org/W6684191040","https://openalex.org/W6713645886","https://openalex.org/W6745992979","https://openalex.org/W6788922626"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390255551","https://openalex.org/W2367511445","https://openalex.org/W2381930792","https://openalex.org/W2358901819","https://openalex.org/W745733672","https://openalex.org/W2983545107","https://openalex.org/W2389102290"],"abstract_inverted_index":{"Recently,":[0],"fashion":[1,13,28,36,50,74,92,120,176],"compatibility":[2,51,75,93,177,189],"modeling,":[3],"which":[4,80],"can":[5],"score":[6],"the":[7,25,35,39,49,82,86,91,107,116,131,141,154,159,165,169,175,180,187,191,194,200,205,211],"matching":[8],"degree":[9],"of":[10,27,42,103,119,134,146,153,190,207],"several":[11],"complementary":[12],"items,":[14],"has":[15],"gained":[16],"increasing":[17],"research":[18],"attention.":[19],"Previous":[20],"studies":[21],"have":[22],"primarily":[23],"learned":[24],"features":[26],"items":[29,57,104],"and":[30,61,105,157,183,196],"utilize":[31],"their":[32],"interaction":[33,88,118,182],"as":[34,100,143,186],"compatibility.":[37],"However,":[38],"try-on":[40,83,126,132,155,170,184],"looking":[41],"an":[43,135],"outfit":[44,99,142],"help":[45],"us":[46],"to":[47,89,114,129,163],"learn":[48],"in":[52,168,179],"a":[53,72,101,125,144],"combined":[54],"manner,":[55],"where":[56],"are":[58],"spatially":[59],"distributed":[60],"partially":[62],"covered":[63],"by":[64,68],"other":[65],"items.":[66,121],"Inspired":[67],"this,":[69],"we":[70,96,123,139,173],"design":[71],"try-on-enhanced":[73],"modeling":[76],"framework,":[77],"named":[78],"TryonCM2,":[79],"incorporates":[81],"appearance":[84,133,185],"with":[85],"item":[87,181],"enhance":[90],"modeling.":[94],"Specifically,":[95],"treat":[97],"each":[98],"sequence":[102,145],"adopt":[106,158],"bidirectional":[108,160],"long":[109],"short-term":[110],"memory":[111],"(LSTM)":[112],"network":[113,162],"capture":[115,164],"latent":[117],"Meanwhile,":[122],"synthesize":[124],"template":[127],"image":[128,148],"depict":[130],"outfit.":[136,192],"And":[137],"then,":[138],"regard":[140],"multiple":[147],"stripes,":[149],"i.e.,":[150],"local":[151],"content,":[152],"template,":[156],"LSTM":[161],"contextual":[166],"structure":[167],"appearance.":[171],"Ultimately,":[172],"combine":[174],"lying":[178],"final":[188],"Both":[193],"objective":[195],"subjective":[197],"experiments":[198],"on":[199],"existing":[201],"FOTOS":[202],"dataset":[203],"demonstrate":[204],"superiority":[206],"our":[208],"framework":[209],"over":[210],"state-of-the-art":[212],"methods.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
