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Image-based Virtual Try-ON aims to transfer an in-shop garment onto a specific person. Existing methods employ a global warping module to model the anisotropic deformation for different garment parts, which fails to preserve the semantic…

Computer Vision and Pattern Recognition · Computer Science 2023-03-27 Zhenyu Xie , Zaiyu Huang , Xin Dong , Fuwei Zhao , Haoye Dong , Xijin Zhang , Feida Zhu , Xiaodan Liang

Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a video while preserving both visual fidelity and temporal coherence. Existing methods typically rely on inpainting masks to define the try-on…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Tianyu Chang , Xiaohao Chen , Zhichao Wei , Xuanpu Zhang , Qing-Guo Chen , Weihua Luo , Peipei Song , Xun Yang

Virtual try-on technology has become increasingly important in the fashion and retail industries, enabling the generation of high-fidelity garment images that adapt seamlessly to target human models. While existing methods have achieved…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Ming Meng , Qi Dong , Jiajie Li , Zhe Zhu , Xingyu Wang , Zhaoxin Fan , Wei Zhao , Wenjun Wu

Realistic virtual try-on (VTON) concerns not only faithful rendering of garment details but also coordination of the style. Prior art typically pursues the former, but neglects a key factor that shapes the holistic style -- garment fit.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Lu Yang , Yicheng Liu , Yanan Li , Xiang Bai , Hao Lu

Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise manner will cause temporal-inconsistent outcomes while…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Zixun Fang , Wei Zhai , Aimin Su , Hongliang Song , Kai Zhu , Mao Wang , Yu Chen , Zhiheng Liu , Yang Cao , Zheng-Jun Zha

Video Virtual Try-On (VVT) aims to synthesize garments that appear natural across consecutive video frames, capturing both their dynamics and interactions with human motion. Despite recent progress, existing VVT methods still suffer from…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Guangyuan Li , Siming Zheng , Hao Zhang , Jinwei Chen , Junsheng Luan , Binkai Ou , Lei Zhao , Bo Li , Peng-Tao Jiang

Image-based virtual try-on aims to seamlessly fit in-shop clothing to a person image while maintaining pose consistency. Existing methods commonly employ the thin plate spline (TPS) transformation or appearance flow to deform in-shop…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Xiaoyu Han , Shunyuan Zheng , Zonglin Li , Chenyang Wang , Xin Sun , Quanling Meng

Recent advancements in Virtual Try-On (VTO) have demonstrated exceptional efficacy in generating realistic images and preserving garment details, largely attributed to the robust generative capabilities of text-to-image (T2I) diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zhenchen Wan , Yanwu Xu , Zhaoqing Wang , Feng Liu , Tongliang Liu , Mingming Gong

Virtual Try-On (VTON) is a highly active line of research, with increasing demand. It aims to replace a piece of garment in an image with one from another, while preserving person and garment characteristics as well as image fidelity.…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Nadav Orzech , Yotam Nitzan , Ulysse Mizrahi , Dov Danon , Amit H. Bermano

Virtual try-on (VTON) is a crucial task for enhancing user experience in online shopping by generating realistic garment previews on personal photos. Although existing methods have achieved impressive results, they struggle with…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Zhiying Li , Junhao Wu , Yeying Jin , Daiheng Gao , Yun Ji , Kaichuan Kong , Lei Yu , Hao Xu , Kai Chen , Bruce Gu , Nana Wang , Zhaoxin Fan

We present Fashion-VDM, a video diffusion model (VDM) for generating virtual try-on videos. Given an input garment image and person video, our method aims to generate a high-quality try-on video of the person wearing the given garment,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Johanna Karras , Yingwei Li , Nan Liu , Luyang Zhu , Innfarn Yoo , Andreas Lugmayr , Chris Lee , Ira Kemelmacher-Shlizerman

Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Zheng Chong , Xiao Dong , Haoxiang Li , Shiyue Zhang , Wenqing Zhang , Xujie Zhang , Hanqing Zhao , Dongmei Jiang , Xiaodan Liang

Image-based virtual try-on provides the capacity to transfer a clothing item onto a photo of a given person, which is usually accomplished by warping the item to a given human pose and adjusting the warped item to the person. However, the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Taewon Kang , Sunghyun Park , Seunghwan Choi , Jaegul Choo

Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especially under pose and appearance variation. In this paper, we…

Graphics · Computer Science 2025-11-06 Seungyong Lee , Jeong-gi Kwak

Image-based virtual try-on is an increasingly popular and important task to generate realistic try-on images of the specific person. Recent methods model virtual try-on as image mask-inpaint task, which requires masking the person image and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Xuanpu Zhang , Dan Song , Pengxin Zhan , Tianyu Chang , Jianhao Zeng , Qingguo Chen , Weihua Luo , Anan Liu

Image-based virtual try-on for fashion has gained considerable attention recently. The task requires trying on a clothing item on a target model image. An efficient framework for this is composed of two stages: (1) warping (transforming)…

Computer Vision and Pattern Recognition · Computer Science 2020-01-20 Surgan Jandial , Ayush Chopra , Kumar Ayush , Mayur Hemani , Abhijeet Kumar , Balaji Krishnamurthy

Virtual Try-on (VTON) has become a core capability for online retail, where realistic try-on results provide reliable fit guidance, reduce returns, and benefit both consumers and merchants. Diffusion-based VTON methods achieve…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Haohua Chen , Tianze Zhou , Wei Zhu , Runqi Wang , Yandong Guan , Dejia Song , Yibo Chen , Xu Tang , Yao Hu , Lu Sheng , Zhiyong Wu

Most existing virtual try-on applications require clean clothes images. Instead, we present a novel virtual Try-On network, M2E-Try On Net, which transfers the clothes from a model image to a person image without the need of any clean…

Computer Vision and Pattern Recognition · Computer Science 2019-08-08 Zhonghua Wu , Guosheng Lin , Qingyi Tao , Jianfei Cai

Diffusion models have shown preliminary success in virtual try-on (VTON) task. The typical dual-branch architecture comprises two UNets for implicit garment deformation and synthesized image generation respectively, and has emerged as the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Siqi Wan , Jingwen Chen , Yingwei Pan , Ting Yao , Tao Mei

Image-based virtual try-on is challenging since the generated image should fit the garment to model images in various poses and keep the characteristics and details of the garment simultaneously. A popular research stream warps the garment…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Delong Zhang , Qiwei Huang , Yuanliu Liu , Yang Sun , Wei-Shi Zheng , Pengfei Xiong , Wei Zhang