{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/122215"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/122215","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A scalable system for virtual dressing","abstract":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","abstract_html":"Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","abstract_has_math":false,"creators":["Li, Kedan"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Forsyth, David Alexander","Lazebnik, Svetlana","Schwing, Alexander Gerhard","Farhadi, Ali"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-12","date_published":"2023-12","updated_at":"2026-07-22T22:25:00Z","subjects":["Virtual Try-on (vton) Systems","Image Synthesis","Warping","Computer Vision","Fashion"],"languages":["en","eng"],"rights":["Copyright 2023 Kedan Li"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/122215","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Forsyth, David Alexander","Lazebnik, Svetlana","Schwing, Alexander Gerhard","Farhadi, Ali"]},{"key":"dc:creator","label":"Author","values":["Li, Kedan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-12","2023-11-20"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Virtual Try-on (vton) Systems","Image Synthesis","Warping","Computer Vision","Fashion"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Kedan Li"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/122215"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","The student, Kedan Li, accepted the attached license on 2023-11-11 at 08:15.","The student, Kedan Li, submitted this Dissertation for approval on 2023-11-11 at 08:21.","This Dissertation was approved for publication on 2023-11-20 at 09:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19905 on 2024-03-01 at 13:48:06","Styling plays a crucial role in the fashion industry, and for years, there has been a search for a way to virtually visualize outfits on a person accurately and instantly. Virtual try-on (VTON) systems offer this capability, but several technical challenges have limited their widespread commercial adoption. These challenges fall into three main categories: (1) quality - generating an appealing and accurate try-on image; (2) intractability - handling outfit combinations, instant feedback, styling variations, model selection, etc.; (3) practicality - addressing product catalog coverage, logistics, and costs. In this thesis, we thoroughly examine the key components of virtual try-on systems and develop an effective solution to address these challenges. Our approach introduces a multi-garment VTON method that accurately captures garment attributes and provides instant responses. We also devise a technique that adjusts garment draping (e.g., tucked vs. untucked) while maintaining the garment's identity, allowing for the generation of rendering policies that dictate outfit styling and layering. Moreover, we suggest various enhancements to improve detail preservation and overall quality. Our proposed VTON system not only achieves remarkable results on benchmark datasets but has also been successfully implemented by top fashion retailers in the industry."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A scalable system for virtual dressing"]}]}],"canonical_facts":{"dc:contributor":["Forsyth, David Alexander","Lazebnik, Svetlana","Schwing, Alexander Gerhard","Farhadi, Ali"],"dc:creator":["Li, Kedan"],"dc:date":["2023-12","2023-11-20"],"dc:description":["Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-12-01","The student, Kedan Li, accepted the attached license on 2023-11-11 at 08:15.","The student, Kedan Li, submitted this Dissertation for approval on 2023-11-11 at 08:21.","This Dissertation was approved for publication on 2023-11-20 at 09:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19905 on 2024-03-01 at 13:48:06","Styling plays a crucial role in the fashion industry, and for years, there has been a search for a way to virtually visualize outfits on a person accurately and instantly. Virtual try-on (VTON) systems offer this capability, but several technical challenges have limited their widespread commercial adoption. These challenges fall into three main categories: (1) quality - generating an appealing and accurate try-on image; (2) intractability - handling outfit combinations, instant feedback, styling variations, model selection, etc.; (3) practicality - addressing product catalog coverage, logistics, and costs. In this thesis, we thoroughly examine the key components of virtual try-on systems and develop an effective solution to address these challenges. Our approach introduces a multi-garment VTON method that accurately captures garment attributes and provides instant responses. We also devise a technique that adjusts garment draping (e.g., tucked vs. untucked) while maintaining the garment's identity, allowing for the generation of rendering policies that dictate outfit styling and layering. Moreover, we suggest various enhancements to improve detail preservation and overall quality. Our proposed VTON system not only achieves remarkable results on benchmark datasets but has also been successfully implemented by top fashion retailers in the industry."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/122215"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Kedan Li"],"dc:subject":["Virtual Try-on (vton) Systems","Image Synthesis","Warping","Computer Vision","Fashion"],"dc:title":["A scalable system for virtual dressing"],"dc:type":["text"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}