University of Illinois Urbana-Champaign

A scalable system for virtual dressing

Li, Kedan

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https://hdl.handle.net/2142/122215

Description

Title
A scalable system for virtual dressing
Author(s)
Li, Kedan
Issue Date
2023-11-20
Director of Research (if dissertation) or Advisor (if thesis)
Forsyth, David Alexander
Doctoral Committee Chair(s)
Forsyth, David Alexander
Committee Member(s)
  • Lazebnik, Svetlana
  • Schwing, Alexander Gerhard
  • Farhadi, Ali
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
  • Virtual try-on (VTON) systems
  • Image Synthesis
  • Warping
  • Computer Vision
  • Fashion
Abstract
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.
Graduation Semester
2023-12
Type of Resource
Thesis
Copyright and License Information
Copyright 2023 Kedan Li

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