{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/127194"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/127194","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Virtual try-on and stylization for full-body human images","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","abstract_has_math":false,"creators":["Cui, Aiyu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Lazebnik, Svetlana","Forsyth, David","Hoiem, Derek","Liu, Yanxi"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-11-18","date_published":"2024-11-18","updated_at":"2026-07-22T22:25:03Z","subjects":["Computer Vision","Virtual Try-on","Image Generation"],"languages":["en","eng"],"rights":["Copyright 2024 Aiyu Cui"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/127194","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Lazebnik, Svetlana","Forsyth, David","Hoiem, Derek","Liu, Yanxi"]},{"key":"dc:creator","label":"Author","values":["Cui, Aiyu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-11-18","2024-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"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":["Computer Vision","Virtual Try-on","Image Generation"]}]},{"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 2024 Aiyu Cui"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/127194"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","The student, Aiyu Cui, accepted the attached license on 2024-11-14 at 23:04.","The student, Aiyu Cui, submitted this Dissertation for approval on 2024-11-14 at 23:16.","This Dissertation was approved for publication on 2024-11-18 at 14:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21326 on 2025-03-28 at 14:25:39","Human image generation has seen significant advancements in recent years, enabling the creation of highly realistic human images. This thesis delves into various aspects of human image generation, focusing on virtual try-on and related tasks. By leveraging cutting-edge techniques in image generation, we explore innovative virtual try-on approaches to manipulate and synthesize human images, opening up new possibilities for creative expression, virtual fashion, and personalized experiences. In this dissertation, we first introduce a multi-task human generation pipeline that supports not only virtual try-on but also pose transfer and fashion editing operations. Second, we investigate one-shot human stylization to apply artistic styles to virtual try-on images, creating unique and visually appealing results. Third, we investigate robust warping techniques for virtual try-on that can address the challenging garment warping problems in the real-world virtual try-on. Finally, we extend virtual try-on to in-the-wild scenarios, enabling users to visualize clothing on themselves using real-world photos. Throughout this thesis, two key technical themes emerge: (1) learning human generation tasks without direct supervision and (2) expanding the capabilities and use cases of virtual try-on. These advancements can potentially revolutionize various industries, including fashion and entertainment."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Virtual try-on and stylization for full-body human images"]}]}],"canonical_facts":{"dc:contributor":["Lazebnik, Svetlana","Forsyth, David","Hoiem, Derek","Liu, Yanxi"],"dc:creator":["Cui, Aiyu"],"dc:date":["2024-11-18","2024-12"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms","The student, Aiyu Cui, accepted the attached license on 2024-11-14 at 23:04.","The student, Aiyu Cui, submitted this Dissertation for approval on 2024-11-14 at 23:16.","This Dissertation was approved for publication on 2024-11-18 at 14:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21326 on 2025-03-28 at 14:25:39","Human image generation has seen significant advancements in recent years, enabling the creation of highly realistic human images. This thesis delves into various aspects of human image generation, focusing on virtual try-on and related tasks. By leveraging cutting-edge techniques in image generation, we explore innovative virtual try-on approaches to manipulate and synthesize human images, opening up new possibilities for creative expression, virtual fashion, and personalized experiences. In this dissertation, we first introduce a multi-task human generation pipeline that supports not only virtual try-on but also pose transfer and fashion editing operations. Second, we investigate one-shot human stylization to apply artistic styles to virtual try-on images, creating unique and visually appealing results. Third, we investigate robust warping techniques for virtual try-on that can address the challenging garment warping problems in the real-world virtual try-on. Finally, we extend virtual try-on to in-the-wild scenarios, enabling users to visualize clothing on themselves using real-world photos. Throughout this thesis, two key technical themes emerge: (1) learning human generation tasks without direct supervision and (2) expanding the capabilities and use cases of virtual try-on. These advancements can potentially revolutionize various industries, including fashion and entertainment."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/127194"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 Aiyu Cui"],"dc:subject":["Computer Vision","Virtual Try-on","Image Generation"],"dc:title":["Virtual try-on and stylization for full-body human images"],"dc:type":["text","Thesis"],"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":"2026-07-22T22:25:03Z"}