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The 2D virtual try-on task has recently attracted a great interest from the research community, for its direct potential applications in online shopping as well as for its inherent and non-addressed scientific challenges. This task requires…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Thibaut Issenhuth , Jérémie Mary , Clément Calauzènes

We present a real-time cloth animation method for dressing virtual humans of various shapes and poses. Our approach formulates the clothing deformation as a high-dimensional function of body shape parameters and pose parameters. In order to…

Graphics · Computer Science 2021-01-11 Nannan Wu , Qianwen Chao , Yanzhen Chen , Weiwei Xu , Chen Liu , Dinesh Manocha , Wenxin Sun , Yi Han , Xinran Yao , Xiaogang Jin

Generating high-fidelity images of humans with fine-grained control over attributes such as hairstyle and clothing remains a core challenge in personalized text-to-image synthesis. While prior methods emphasize identity preservation from a…

Computer Vision and Pattern Recognition · Computer Science 2025-10-17 Guocheng Gordon Qian , Daniil Ostashev , Egor Nemchinov , Avihay Assouline , Sergey Tulyakov , Kuan-Chieh Jackson Wang , Kfir Aberman

We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON). Existing self-supervised 3D retargeting methods only support…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Shanthika Naik , Kunwar Singh , Astitva Srivastava , Dhawal Sirikonda , Amit Raj , Varun Jampani , Avinash Sharma

The conventional image-based virtual try-on method cannot generate fitting images that correspond to the clothing size because the system cannot accurately reflect the body information of a person. In this study, an image-based virtual…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Minoru Kuribayashi , Koki Nakai , Nobuo Funabiki

We propose a novel approach to generate temporally coherent UV coordinates for loose clothing. Our method is not constrained by human body outlines and can capture loose garments and hair. We implemented a differentiable pipeline to learn…

Computer Vision and Pattern Recognition · Computer Science 2022-04-11 You Xie , Huiqi Mao , Angela Yao , Nils Thuerey

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

Given an isolated garment image in a canonical product view and a separate image of a person, the virtual try-on task aims to generate a new image of the person wearing the target garment. Prior virtual try-on works face two major…

Computer Vision and Pattern Recognition · Computer Science 2025-05-08 Nannan Li , Kevin J. Shih , Bryan A. Plummer

The task of video virtual try-on aims to fit the target clothes to a person in the video with spatio-temporal consistency. Despite tremendous progress of image virtual try-on, they lead to inconsistency between frames when applied to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-27 Jianbin Jiang , Tan Wang , He Yan , Junhui Liu

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

While image-based virtual try-on has made significant strides, emerging approaches still fall short of delivering high-fidelity and robust fitting images across various scenarios, as their models suffer from issues of ill-fitted garment…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Yuhan Li , Hao Zhou , Wenxiang Shang , Ran Lin , Xuanhong Chen , Bingbing Ni

The 2D image-based virtual try-on has aroused increased interest from the multimedia and computer vision fields due to its enormous commercial value. Nevertheless, most existing image-based virtual try-on approaches directly combine the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-22 Bin Ren , Hao Tang , Fanyang Meng , Runwei Ding , Philip H. S. Torr , Nicu Sebe

Recent advances in garment-centric image generation from text and image prompts based on diffusion models are impressive. However, existing methods lack support for various combinations of attire, and struggle to preserve the garment…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Xinghui Li , Qichao Sun , Pengze Zhang , Fulong Ye , Zhichao Liao , Wanquan Feng , Songtao Zhao , Qian He

Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with the corresponding body parts in the person image. Prior…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Sen He , Yi-Zhe Song , Tao Xiang

The increasing prominence of e-commerce has underscored the importance of Virtual Try-On (VTON). However, previous studies predominantly focus on the 2D realm and rely heavily on extensive data for training. Research on 3D VTON primarily…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Haodong Chen , Yongle Huang , Haojian Huang , Xiangsheng Ge , Dian Shao

Building on the success of diffusion models, significant advancements have been made in multimodal image generation tasks. Among these, human image generation has emerged as a promising technique, offering the potential to revolutionize the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Shiyue Zhang , Zheng Chong , Xi Lu , Wenqing Zhang , Haoxiang Li , Xujie Zhang , Jiehui Huang , Xiao Dong , Xiaodan Liang

In this paper, we develop a robust 3D garment digitization solution that can generalize well on real-world fashion catalog images with cloth texture occlusions and large body pose variations. We assumed fixed topology parametric template…

Computer Vision and Pattern Recognition · Computer Science 2021-12-01 Sahib Majithia , Sandeep N. Parameswaran , Sadbhavana Babar , Vikram Garg , Astitva Srivastava , Avinash Sharma

The virtual try-on task refers to fitting the clothes from one image onto another portrait image. In this paper, we focus on virtual accessory try-on, which fits accessory (e.g., glasses, ties) onto a face or portrait image. Unlike clothing…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Junhong Gou , Bo Zhang , Li Niu , Jianfu Zhang , Jianlou Si , Chen Qian , Liqing Zhang

Recent advances in diffusion models have significantly elevated the visual fidelity of Virtual Try-On (VTON) systems, yet reliable evaluation remains a persistent bottleneck. Traditional metrics struggle to quantify fine-grained texture…

Computer Vision and Pattern Recognition · Computer Science 2026-05-07 Jin Li , Tao Chen , Shuai Jiang , Weijie Wang , Jingwen Luo , Chenhui Wu

Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usually work in a two-stage pipeline. First, the garment image is…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Aiyu Cui , Sen He , Tao Xiang , Antoine Toisoul