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This paper considers image-based virtual try-on, which renders an image of a person wearing a curated garment, given a pair of images depicting the person and the garment, respectively. Previous works adapt existing exemplar-based…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Yisol Choi , Sangkyung Kwak , Kyungmin Lee , Hyungwon Choi , Jinwoo Shin

In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this setting as they estimate garment warping flows mainly based on 2D…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Zaiyu Huang , Hanhui Li , Zhenyu Xie , Michael Kampffmeyer , Qingling Cai , Xiaodan Liang

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

Image-based virtual try-on aims to fit an in-shop garment onto a clothed person image. Garment warping, which aligns the target garment with the corresponding body parts in the person image, is a crucial step in achieving this goal.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Sanhita Pathak , Vinay Kaushik , Brejesh Lall

The development of virtual try-on has revolutionized online shopping by allowing customers to visualize themselves in various fashion items, thus extending the in-store try-on experience to the cyber space. Although virtual try-on has…

Multimedia · Computer Science 2024-04-23 Mingzhe Yu , Yunshan Ma , Lei Wu , Kai Cheng , Xue Li , Lei Meng , Tat-Seng Chua

The garment-to-person virtual try-on (VTON) task, which aims to generate fitting images of a person wearing a reference garment, has made significant strides. However, obtaining a standard garment is often more challenging than using the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Le Shen , Yanting Kang , Rong Huang , Zhijie Wang

The system of Virtual Try-ON (VTON) allows a user to try a product virtually. In general, a VTON system takes a clothing source and a person's image to predict the try-on output of the person in the given clothing. Although existing methods…

Computer Vision and Pattern Recognition · Computer Science 2024-01-05 Debapriya Roy , Sanchayan Santra , Diganta Mukherjee , Bhabatosh Chanda

Latest advances have achieved realistic virtual try-on (VTON) through localized garment inpainting using latent diffusion models, significantly enhancing consumers' online shopping experience. However, existing VTON technologies neglect the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Fei Shen , Xin Jiang , Xin He , Hu Ye , Cong Wang , Xiaoyu Du , Zechao Li , Jinhui Tang

We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human models with varying body shapes and poses. While existing learning-based approaches for draping clothes have shown promising results, multi-layered…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Dohae Lee , Hyun Kang , In-Kwon Lee

We propose AvatarVTON, the first 4D virtual try-on framework that generates realistic try-on results from a single in-shop garment image, enabling free pose control, novel-view rendering, and diverse garment choices. Unlike existing…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Zicheng Jiang , Jixin Gao , Shengfeng He , Xinzhe Li , Yulong Zheng , Zhaotong Yang , Junyu Dong , Yong Du

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

Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothing image (e.g. texture, logo, embroidery)…

Computer Vision and Pattern Recognition · Computer Science 2020-03-13 Han Yang , Ruimao Zhang , Xiaobao Guo , Wei Liu , Wangmeng Zuo , Ping Luo

This study discusses the critical issues of Virtual Try-On in contemporary e-commerce and the prospective metaverse, emphasizing the challenges of preserving intricate texture details and distinctive features of the target person and the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Phuong Dam , Jihoon Jeong , Anh Tran , Daeyoung Kim

The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings. In this paper, we present PT-VTON, a novel pose-transfer-based framework for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Hanhan Zhou , Tian Lan , Guru Venkataramani

Traditional virtual try-on methods primarily focus on the garment-to-person try-on task, which requires flat garment representations. In contrast, this paper introduces a novel approach to the person-to-person try-on task. Unlike the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Zheng Wang , Xianbing Sun , Shengyi Wu , Jiahui Zhan , Jianlou Si , Chi Zhang , Liqing Zhang , Jianfu Zhang

We present M&M VTO, a mix and match virtual try-on method that takes as input multiple garment images, text description for garment layout and an image of a person. An example input includes: an image of a shirt, an image of a pair of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Luyang Zhu , Yingwei Li , Nan Liu , Hao Peng , Dawei Yang , Ira Kemelmacher-Shlizerman

Humans make extensive use of vision and touch as complementary senses, with vision providing global information about the scene and touch measuring local information during manipulation without suffering from occlusions. While prior work…

Robotics · Computer Science 2023-08-01 Justin Kerr , Huang Huang , Albert Wilcox , Ryan Hoque , Jeffrey Ichnowski , Roberto Calandra , Ken Goldberg

Virtual Try-On (VTON) has become a transformative technology, empowering users to experiment with fashion without ever having to physically try on clothing. However, existing methods often struggle with generating high-fidelity and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Ke Sun , Jian Cao , Qi Wang , Linrui Tian , Xindi Zhang , Lian Zhuo , Bang Zhang , Liefeng Bo , Wenbo Zhou , Weiming Zhang , Daiheng Gao

Virtual Try-On (VTON) is a transformative technology in e-commerce and fashion design, enabling realistic digital visualization of clothing on individuals. In this work, we propose VTON 360, a novel 3D VTON method that addresses the open…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Zijian He , Yuwei Ning , Yipeng Qin , Guangrun Wang , Sibei Yang , Liang Lin , Guanbin Li

Virtual Try-On technology has garnered significant attention for its potential to transform the online fashion retail experience by allowing users to visualize how garments would look on them without physical trials. While recent advances…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Minh Tran , Johnmark Clements , Annie Prasanna , Tri Nguyen , Ngan Le