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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

This paper introduces ITA-MDT, the Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On (IVTON), designed to overcome the limitations of previous approaches by leveraging the Masked Diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Ji Woo Hong , Tri Ton , Trung X. Pham , Gwanhyeong Koo , Sunjae Yoon , Chang D. Yoo

Recent advancements in Virtual Try-On (VITON) have significantly improved image realism and garment detail preservation, driven by powerful text-to-image (T2I) diffusion models. However, existing methods often rely on user-provided masks,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zhenchen Wan , Yanwu xu , Dongting Hu , Weilun Cheng , Tianxi Chen , Zhaoqing Wang , Feng Liu , Tongliang Liu , Mingming Gong

Multi-pose virtual try-on (MPVTON) aims to fit a target garment onto a person at a target pose. Compared to traditional virtual try-on (VTON) that fits the garment but keeps the pose unchanged, MPVTON provides a better try-on experience,…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Sen He , Yi-Zhe Song , Tao Xiang

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

Image-based virtual try-on systems,which fit new garments onto human portraits,are gaining research attention.An ideal pipeline should preserve the static features of clothes(like textures and logos)while also generating dynamic…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Yanlong Zang , Han Yang , Jiaxu Miao , Yi Yang

Despite remarkable progress in image-based virtual try-on systems, generating realistic and robust fitting images for cross-category virtual try-on remains a challenging task. The primary difficulty arises from the absence of human-like…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Donghao Luo , Yujie Liang , Xu Peng , Xiaobin Hu , Boyuan Jiang , Chengming Xu , Taisong Jin , Chengjie Wang , Yanwei Fu

With the development of Generative Adversarial Network, image-based virtual try-on methods have made great progress. However, limited work has explored the task of video-based virtual try-on while it is important in real-world applications.…

Computer Vision and Pattern Recognition · Computer Science 2021-08-18 Xiaojing Zhong , Zhonghua Wu , Taizhe Tan , Guosheng Lin , Qingyao Wu

In this paper, we propose a Landmark Guided Virtual Try-On (LGVTON) method for clothes, which aims to solve the problem of clothing trials on e-commerce websites. Given the images of two people: a person and a model, it generates a…

Computer Vision and Pattern Recognition · Computer Science 2021-09-30 Debapriya Roy , Sanchayan Santra , Bhabatosh Chanda

The idea of \textit{Virtual Try-ON} (VTON) benefits e-retailing by giving an user the convenience of trying a clothing at the comfort of their home. In general, most of the existing VTON methods produce inconsistent results when a person…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Debapriya Roy , Sanchayan Santra , Diganta Mukherjee , Bhabatosh Chanda

Given a pair of images depicting a person and a garment separately, image-based 3D virtual try-on methods aim to reconstruct a 3D human model that realistically portrays the person wearing the desired garment. In this paper, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Xiaojing Zhong , Zhonghua Wu , Xiaofeng Yang , Guosheng Lin , Qingyao Wu

Fashion illustration is a crucial medium for designers to convey their creative vision and transform design concepts into tangible representations that showcase the interplay between clothing and the human body. In the context of fashion…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Alberto Baldrati , Davide Morelli , Marcella Cornia , Marco Bertini , Rita Cucchiara

Video try-on stands as a promising area for its tremendous real-world potential. Previous research on video try-on has primarily focused on transferring product clothing images to videos with simple human poses, while performing poorly with…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Jun Zheng , Jing Wang , Fuwei Zhao , Xujie Zhang , Xiaodan Liang

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

Video try-on stands as a promising area for its tremendous real-world potential. Prior works are limited to transferring product clothing images onto person videos with simple poses and backgrounds, while underperforming on casually…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Jun Zheng , Fuwei Zhao , Youjiang Xu , Xin Dong , Xiaodan Liang

Virtual Try-On (trying clothes virtually) is a promising application of the Generative Adversarial Network (GAN). However, it is an arduous task to transfer the desired clothing item onto the corresponding regions of a human body because of…

Computer Vision and Pattern Recognition · Computer Science 2024-05-08 Santosh Adhikari , Bishnu Bhusal , Prashant Ghimire , Anil Shrestha

Recent diffusion- and flow-based VTON methods achieve strong results with pretrained generative models, but their reliance on multi-step sampling incurs high inference cost, while existing acceleration methods largely overlook the intrinsic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Xianbing Sun , Jiahui Zhan , Liqing Zhang , Jianfu Zhang

Video virtual try-on (VVT) technology has garnered considerable academic interest owing to its promising applications in e-commerce advertising and entertainment. However, most existing end-to-end methods rely heavily on scarce paired…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Tongchun Zuo , Zaiyu Huang , Shuliang Ning , Ente Lin , Chao Liang , Zerong Zheng , Jianwen Jiang , Yuan Zhang , Mingyuan Gao , Xin Dong

Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing patterns and diverse body poses. We present 3DV-TON, a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Min Wei , Chaohui Yu , Jingkai Zhou , Fan Wang

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
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