MT-VTON: Multilevel Transformation-Based Virtual Try-On for Enhancing Realism of Clothingopen access
- Authors
- Lee, Jaeyoung; Lee, Moonhyun; Kim, Younghoon
- Issue Date
- Nov-2023
- Publisher
- MDPI
- Keywords
- virtual try-on; multilevel transformation; layering; appearance flow; clothing
- Citation
- Applied Sciences-basel, v.13, no.21, pp 1 - 14
- Pages
- 14
- Indexed
- SCIE
SCOPUS
- Journal Title
- Applied Sciences-basel
- Volume
- 13
- Number
- 21
- Start Page
- 1
- End Page
- 14
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117836
- DOI
- 10.3390/app132111724
- ISSN
- 2076-3417
- Abstract
- Virtual 3D fashion fitting, commonly referred to as 2D virtual try-on, has garnered significant attention due to its potential to revolutionize the way consumers interact with fashion items online. This paper presents a novel approach to virtual try-on utilizing a deep learning framework built upon the concept of appearance flow. Our proposed method improves the existing state-of-the-art techniques by seamlessly integrating natural cloth folds, shadows, and intricate textures, such as letters and comic characters, into the synthesized virtual try-on images. Building upon the advancements of previous research, our approach introduces a multi-faceted transformation strategy that operates at both the pixel and image patch levels. Our method's effectiveness is demonstrated through extensive experiments and comparisons with existing virtual try-on techniques. The results showcase a substantial improvement in the synthesis of virtual try-on images with natural-looking cloth folds, realistic shadows, and intricate textures.
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