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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

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

Given two images depicting a person and a garment worn by another person, our goal is to generate a visualization of how the garment might look on the input person. A key challenge is to synthesize a photorealistic detail-preserving…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Luyang Zhu , Dawei Yang , Tyler Zhu , Fitsum Reda , William Chan , Chitwan Saharia , Mohammad Norouzi , Ira Kemelmacher-Shlizerman

Image virtual try-on replaces the clothes on a person image with a desired in-shop clothes image. It is challenging because the person and the in-shop clothes are unpaired. Existing methods formulate virtual try-on as either in-painting or…

Computer Vision and Pattern Recognition · Computer Science 2021-03-22 Chongjian Ge , Yibing Song , Yuying Ge , Han Yang , Wei Liu , Ping Luo

We introduce RefTon, a flux-based person-to-person virtual try-on framework that enhances garment realism through unpaired visual references. Unlike conventional approaches that rely on complex auxiliary inputs such as body parsing and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Liuzhuozheng Li , Yue Gong , Shanyuan Liu , Dengyang Jiang , Zanyi Wang , Bo Cheng , Yuhang Ma , Leibucha Wu , Dawei Leng , Yuhui Yin

This work aims to address a novel Customized Virtual Try-ON (Cu-VTON) task, enabling the superimposition of a specified garment onto a model that can be customized in terms of appearance, posture, and additional attributes. Compared with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-02 Zhijing Yang , Weiwei Zhang , Mingliang Yang , Siyuan Peng , Yukai Shi , Junpeng Tan , Tianshui Chen , Liruo Zhong

Video Virtual Try-On (VVT) aims to seamlessly replace a garment on a person in a video with a new one. While existing methods have made significant strides in maintaining temporal consistency, they are predominantly confined to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Jun Zheng , Zhengze Xu , Mengting Chen , Jing Wang , Jinsong Lan , Xiaoyong Zhu , Kaifu Zhang , Bo Zheng , Xiaodan Liang

A virtual try-on method takes a product image and an image of a model and produces an image of the model wearing the product. Most methods essentially compute warps from the product image to the model image and combine using image…

Computer Vision and Pattern Recognition · Computer Science 2020-03-30 Kedan Li , Min Jin Chong , Jingen Liu , David Forsyth

Virtual Try-On is a promising research area with broad applications in e-commerce and everyday life, enabling users to visualize garments on themselves or others before purchase. Most existing methods depend on predefined or user-specified…

Graphics · Computer Science 2026-04-01 Mengqi Zhang , Qi Li , Mehmet Saygin Seyfioglu , Karim Bouyarmane

Diffusion models enable high-quality virtual try-on (VTO) with their established image synthesis abilities. Despite the extensive end-to-end training of large pre-trained models involved in current VTO methods, real-world applications often…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Xingzi Xu , Qi Li , Shuwen Qiu , Julien Han , Karim Bouyarmane

Video virtual try-on aims to replace the clothing of a person in a video with a target garment. Current dual-branch architectures have achieved significant success in diffusion models based on the U-Net; however, adapting them to diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Yanjie Pan , Qingdong He , Lidong Wang , Bo Peng , Mingmin Chi

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

Video virtual try-on aims to seamlessly dress a subject in a video with a specific garment. The primary challenge involves preserving the visual authenticity of the garment while dynamically adapting to the pose and physique of the subject.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Dong Li , Wenqi Zhong , Wei Yu , Yingwei Pan , Dingwen Zhang , Ting Yao , Junwei Han , Tao Mei

Deep learning based virtual try-on system has achieved some encouraging progress recently, but there still remain several big challenges that need to be solved, such as trying on arbitrary clothes of all types, trying on the clothes from…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Yu Liu , Mingbo Zhao , Zhao Zhang , Haijun Zhang , Shuicheng Yan

Image-based virtual try-on aims to transfer an in-shop clothing image to a person image. Most existing methods adopt a single global deformation to perform clothing warping directly, which lacks fine-grained modeling of in-shop clothing and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-19 Shengping Zhang , Xiaoyu Han , Weigang Zhang , Xiangyuan Lan , Hongxun Yao , Qingming Huang

Despite its great potential, virtual try-on technology is hindered from real-world application by two major challenges: the inability of current methods to support multi-reference outfit compositions (including garments and accessories),…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Zheng Chong , Yanwei Lei , Shiyue Zhang , Zhuandi He , Zhen Wang , Xujie Zhang , Xiao Dong , Yiling Wu , Dongmei Jiang , Xiaodan Liang

One highly promising direction for enabling flexible real-time on-device image editing is utilizing data distillation by leveraging large-scale text-to-image diffusion models to generate paired datasets used for training generative…

Computer Vision and Pattern Recognition · Computer Science 2024-06-04 Yifan Gong , Zheng Zhan , Qing Jin , Yanyu Li , Yerlan Idelbayev , Xian Liu , Andrey Zharkov , Kfir Aberman , Sergey Tulyakov , Yanzhi Wang , Jian Ren

Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Dan Song , Xuanpu Zhang , Juan Zhou , Weizhi Nie , Ruofeng Tong , Mohan Kankanhalli , An-An Liu

As online shopping is growing, the ability for buyers to virtually visualize products in their settings-a phenomenon we define as "Virtual Try-All"-has become crucial. Recent diffusion models inherently contain a world model, rendering them…

Computer Vision and Pattern Recognition · Computer Science 2024-01-26 Mehmet Saygin Seyfioglu , Karim Bouyarmane , Suren Kumar , Amir Tavanaei , Ismail B. Tutar

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
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