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Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise manner will cause temporal-inconsistent outcomes while…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Zixun Fang , Wei Zhai , Aimin Su , Hongliang Song , Kai Zhu , Mao Wang , Yu Chen , Zhiheng Liu , Yang Cao , Zheng-Jun Zha

We present Fashion-VDM, a video diffusion model (VDM) for generating virtual try-on videos. Given an input garment image and person video, our method aims to generate a high-quality try-on video of the person wearing the given garment,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Johanna Karras , Yingwei Li , Nan Liu , Luyang Zhu , Innfarn Yoo , Andreas Lugmayr , Chris Lee , Ira Kemelmacher-Shlizerman

Video virtual try-on aims to naturally fit a garment to a target person in consecutive video frames. It is a challenging task, on the one hand, the output video should be in good spatial-temporal consistency, on the other hand, the details…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Cheng Zou , Senlin Cheng , Bolei Xu , Dandan Zheng , Xiaobo Li , Jingdong Chen , Ming Yang

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

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 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

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-based virtual try-on is an increasingly important task for online shopping. It aims to synthesize images of a specific person wearing a specified garment. Diffusion model-based approaches have recently become popular, as they are…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Xu Yang , Changxing Ding , Zhibin Hong , Junhao Huang , Jin Tao , Xiangmin Xu

Given an input video of a person and a new garment, the objective of this paper is to synthesize a new video where the person is wearing the specified garment while maintaining spatiotemporal consistency. Although significant advances have…

Computer Vision and Pattern Recognition · Computer Science 2024-12-19 Hung Nguyen , Quang Qui-Vinh Nguyen , Khoi Nguyen , Rang Nguyen

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 (VTON) aims to synthesize realistic images of a person wearing a target garment, with broad applications in e-commerce and digital fashion. While recent advances in latent diffusion models have substantially improved visual…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Xiang Xu

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

Denoising diffusion probabilistic models that were initially proposed for realistic image generation have recently shown success in various perception tasks (e.g., object detection and image segmentation) and are increasingly gaining…

Computer Vision and Pattern Recognition · Computer Science 2023-08-08 Runyang Feng , Yixing Gao , Tze Ho Elden Tse , Xueqing Ma , Hyung Jin Chang

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

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

Image-based Virtual Try-On (VITON) aims to transfer an in-shop garment image onto a target person. While existing methods focus on warping the garment to fit the body pose, they often overlook the synthesis quality around the garment-skin…

Computer Vision and Pattern Recognition · Computer Science 2023-12-07 xujie zhang , Xiu Li , Michael Kampffmeyer , Xin Dong , Zhenyu Xie , Feida Zhu , Haoye Dong , Xiaodan Liang

Would not it be much more convenient for everybody to try on clothes by only looking into a mirror ? The answer to that problem is virtual try-on, enabling users to digitally experiment with outfits. The core challenge lies in realistic…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Mostafa Atef , Mariam Ayman , Ahmed Rashed , Ashrakat Saeed , Abdelrahman Saeed , Ahmed Fares

Adapter-based methods are commonly used to enhance model performance with minimal additional complexity, especially in video editing tasks that require frame-to-frame consistency. By inserting small, learnable modules into pretrained…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Xinyuan Song , Yangfan He , Sida Li , Jianhui Wang , Hongyang He , Xinhang Yuan , Ruoyu Wang , Jiaqi Chen , Keqin Li , Kuan Lu , Menghao Huo , Binxu Li , Pei Liu

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

Human image animation involves generating a video from a static image by following a specified pose sequence. Current approaches typically adopt a multi-stage pipeline that separately learns appearance and motion, which often leads to…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Qilin Wang , Zhengkai Jiang , Chengming Xu , Jiangning Zhang , Yabiao Wang , Xinyi Zhang , Yun Cao , Weijian Cao , Chengjie Wang , Yanwei Fu
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