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Virtual try-on (VTON) has been widely explored for rendering garments onto person images, while its inverse task, virtual try-off (VTOFF), remains largely overlooked. VTOFF aims to recover standardized product images of garments directly…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Davide Lobba , Fulvio Sanguigni , Bin Ren , Marcella Cornia , Rita Cucchiara , Nicu Sebe

Image-based virtual try-on, widely used in online shopping, aims to generate images of a naturally dressed person conditioned on certain garments, providing significant research and commercial potential. A key challenge of try-on is to…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Hanzhong Guo , Jianfeng Zhang , Cheng Zou , Jun Li , Meng Wang , Ruxue Wen , Pingzhong Tang , Jingdong Chen , Ming Yang

Virtual try-on has emerged as a pivotal task at the intersection of computer vision and fashion, aimed at digitally simulating how clothing items fit on the human body. Despite notable progress in single-image virtual try-on (VTO), current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Siqi Li , Zhengkai Jiang , Jiawei Zhou , Zhihong Liu , Xiaowei Chi , Haoqian Wang

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

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

Virtual try-on (VTON) transfers a target clothing image to a reference person, where clothing fidelity is a key requirement for downstream e-commerce applications. However, existing VTON methods still fall short in high-fidelity try-on due…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Han Yang , Yanlong Zang , Ziwei Liu

Despite recent progress, most existing virtual try-on methods still struggle to simultaneously address two core challenges: accurately aligning the garment image with the target human body, and preserving fine-grained garment textures and…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Xianbing Sun , Yan Hong , Jiahui Zhan , Jun Lan , Huijia Zhu , Weiqiang Wang , Liqing Zhang , Jianfu Zhang

The fashion e-commerce industry has witnessed significant growth in recent years, prompting exploring image-based virtual try-on techniques to incorporate Augmented Reality (AR) experiences into online shopping platforms. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Khoi-Nguyen Nguyen-Ngoc , Thanh-Tung Phan-Nguyen , Khanh-Duy Le , Tam V. Nguyen , Minh-Triet Tran , Trung-Nghia Le

Virtual try-on (VTON) has recently achieved impressive visual fidelity, but most existing systems require uploading personal photos to cloud-based GPUs, raising privacy concerns and limiting on-device deployment. To address this, we present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Zhenchen Wan , Ce Chen , Runqi Lin , Jiaxin Huang , Tianxi Chen , Yanwu Xu , Tongliang Liu , Mingming Gong

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

With the development of deep learning technology, virtual try-on technology has devel-oped important application value in the fields of e-commerce, fashion, and entertainment. The recently proposed Leffa technology has addressed the texture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Sehyun Kim , Hye Jun Lee , Jiwoo Lee , Taemin Lee

We present a novel framework for real-time virtual makeup try-on that achieves high-fidelity, identity-preserving cosmetic transfer with robust temporal consistency. In live makeup transfer applications, it is critical to synthesize…

Computer Vision and Pattern Recognition · Computer Science 2025-09-08 Lydia Kin Ching Chau , Zhi Yu , Ruowei Jiang

With the rapid development of e-commerce, virtual try-on technology has become an essential tool to satisfy consumers' personalized clothing preferences. Diffusion-based virtual try-on systems aim to naturally align garments with target…

Multimedia · Computer Science 2025-04-02 Shufang Zhang , Hang Qian , Minxue Ni , Yaxuan Li , Wenxin Ding , Jun Liu

Virtual try-on seeks to generate photorealistic images of individuals in desired garments, a task that must simultaneously preserve personal identity and garment fidelity for practical use in fashion retail and personalization. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Ankan Deria , Dwarikanath Mahapatra , Behzad Bozorgtabar , Mohna Chakraborty , Snehashis Chakraborty , Sudipta Roy

The rapid growth of e-commerce has intensified the demand for Virtual Try-On (VTO) technologies, enabling customers to realistically visualize products overlaid on their own images. Despite recent advances, existing VTO models face…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Qi Li , Shuwen Qiu , Julien Han , Xingzi Xu , Mehmet Saygin Seyfioglu , Kee Kiat Koo , Karim Bouyarmane

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

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 (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

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

In this paper, we propose a novel virtual try-on from unconstrained designs (ucVTON) task to enable photorealistic synthesis of personalized composite clothing on input human images. Unlike prior arts constrained by specific input types,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Shuliang Ning , Duomin Wang , Yipeng Qin , Zirong Jin , Baoyuan Wang , Xiaoguang Han
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