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While recent advances in virtual try-on (VTON) have achieved realistic garment transfer to human subjects, its inverse task, virtual try-off (VTOFF), which aims to reconstruct canonical garment templates from dressed humans, remains…

Computer Vision and Pattern Recognition · Computer Science 2025-08-07 Angang Zhang , Fang Deng , Hao Chen , Zhongjian Chen , Junyan Li

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

Video virtual try-on aims to generate realistic sequences that maintain garment identity and adapt to a person's pose and body shape in source videos. Traditional image-based methods, relying on warping and blending, struggle with complex…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Zijian He , Peixin Chen , Guangrun Wang , Guanbin Li , Philip H. S. Torr , Liang Lin

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) has become a core capability for online retail, where realistic try-on results provide reliable fit guidance, reduce returns, and benefit both consumers and merchants. Diffusion-based VTON methods achieve…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Haohua Chen , Tianze Zhou , Wei Zhu , Runqi Wang , Yandong Guan , Dejia Song , Yibo Chen , Xu Tang , Yao Hu , Lu Sheng , Zhiyong Wu

Despite the rapid advancement of Virtual Try-On (VTON) and Try-Off (VTOFF) technologies, existing VTON methods face challenges with fine-grained detail preservation, generalization to complex scenes, complicated pipeline, and efficient…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Weixuan Zeng , Pengcheng Wei , Huaiqing Wang , Boheng Zhang , Jia Sun , Dewen Fan , Lin HE , Long Chen , Qianqian Gan , Fan Yang , Tingting Gao

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

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

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

The growing digital landscape of fashion e-commerce calls for interactive and user-friendly interfaces for virtually trying on clothes. Traditional try-on methods grapple with challenges in adapting to diverse backgrounds, poses, and…

Human-Computer Interaction · Computer Science 2024-02-06 Justin Blalock , David Munechika , Harsha Karanth , Alec Helbling , Pratham Mehta , Seongmin Lee , Duen Horng Chau

Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diverse scenarios. These methods often struggle with issues such…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Boyuan Jiang , Xiaobin Hu , Donghao Luo , Qingdong He , Chengming Xu , Jinlong Peng , Jiangning Zhang , Chengjie Wang , Yunsheng Wu , Yanwei Fu

Virtual Try-ON (VTON) aims to synthesis specific person images dressed in given garments, which recently receives numerous attention in online shopping scenarios. Currently, the core challenges of the VTON task mainly lie in the…

Computer Vision and Pattern Recognition · Computer Science 2024-10-17 Jiabao Wei , Zhiyuan Ma

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

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

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

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

Virtual Try-On (VTON) has become a crucial tool in ecommerce, enabling the realistic simulation of garments on individuals while preserving their original appearance and pose. Early VTON methods relied on single generative networks, but…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Shuliang Ning , Yipeng Qin , Xiaoguang Han

Online clothing shopping has become increasingly popular, but the high rate of returns due to size and fit issues has remained a major challenge. To address this problem, virtual try-on systems have been developed to provide customers with…

Computer Vision and Pattern Recognition · Computer Science 2023-06-27 Yunmin Cho , Lala Shakti Swarup Ray , Kundan Sai Prabhu Thota , Sungho Suh , Paul Lukowicz

Recent advances in Virtual Try-On (VTON) and Virtual Try-Off (VTOFF) have greatly improved photo-realistic fashion synthesis and garment reconstruction. However, existing datasets remain static, lacking instruction-driven editing for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Fulvio Sanguigni , Davide Lobba , Bin Ren , Marcella Cornia , Nicu Sebe , Rita Cucchiara

Virtual try-on systems have long been hindered by heavy reliance on human body masks, limited fine-grained control over garment attributes, and poor generalization to real-world, in-the-wild scenarios. In this paper, we propose JCo-MVTON…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Aowen Wang , Wei Li , Hao Luo , Mengxing Ao , Chenyu Zhu , Xinyang Li , Fan Wang