English
Related papers

Related papers: CatV2TON: Taming Diffusion Transformers for Vision…

200 papers

Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Zheng Chong , Xiao Dong , Haoxiang Li , Shiyue Zhang , Wenqing Zhang , Xujie Zhang , Hanqing Zhao , Dongmei Jiang , 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

Virtual try-on, which aims to seamlessly fit garments onto person images, has recently seen significant progress with diffusion-based models. However, existing methods commonly resort to duplicated backbones or additional image encoders to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-22 Haifeng Ni , Ming Xu

The goal of image-based virtual try-on is to generate an image of the target person naturally wearing the given clothing. However, existing methods solely focus on the frontal try-on using the frontal clothing. When the views of the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Haoyu Wang , Zhilu Zhang , Donglin Di , Shiliang Zhang , Wangmeng Zuo

Virtual Try-On (VTON) is the task of synthesizing an image of a person wearing a target garment, conditioned on a person image and a garment image. While diffusion-based VTON models featuring a Dual UNet architecture demonstrate superior…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Kihyun Na , Jinyoung Choi , Injung Kim

Virtual Try-on (VTON) involves generating images of a person wearing selected garments. Diffusion-based methods, in particular, can create high-quality images, but they struggle to maintain the identities of the input garments. We…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jeffrey Zhang , Kedan Li , Shao-Yu Chang , David Forsyth

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

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 (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

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

We present OOTDiffusion, a novel network architecture for realistic and controllable image-based virtual try-on (VTON). We leverage the power of pretrained latent diffusion models, designing an outfitting UNet to learn the garment detail…

Computer Vision and Pattern Recognition · Computer Science 2024-03-08 Yuhao Xu , Tao Gu , Weifeng Chen , Chengcai Chen

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

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

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

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

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

Recent advancements in Virtual Try-On (VTO) have demonstrated exceptional efficacy in generating realistic images and preserving garment details, largely attributed to the robust generative capabilities of text-to-image (T2I) diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zhenchen Wan , Yanwu Xu , Zhaoqing Wang , Feng Liu , Tongliang Liu , Mingming Gong

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

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

The rapidly evolving fields of e-commerce and metaverse continue to seek innovative approaches to enhance the consumer experience. At the same time, recent advancements in the development of diffusion models have enabled generative networks…

Computer Vision and Pattern Recognition · Computer Science 2023-08-04 Davide Morelli , Alberto Baldrati , Giuseppe Cartella , Marcella Cornia , Marco Bertini , Rita Cucchiara
‹ Prev 1 2 3 10 Next ›