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Diffusion models have shown preliminary success in virtual try-on (VTON) task. The typical dual-branch architecture comprises two UNets for implicit garment deformation and synthesized image generation respectively, and has emerged as the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Siqi Wan , Jingwen Chen , Yingwei Pan , Ting Yao , Tao Mei

Given a clothing image and a person image, an image-based virtual try-on aims to generate a customized image that appears natural and accurately reflects the characteristics of the clothing image. In this work, we aim to expand the…

Computer Vision and Pattern Recognition · Computer Science 2023-12-05 Jeongho Kim , Gyojung Gu , Minho Park , Sunghyun Park , Jaegul Choo

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

Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions and faithful preservation of identity and background in non-try-on regions. While latent…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Junseo Park , Hyeryung Jang

Diffusion models have led to the revolutionizing of generative modeling in numerous image synthesis tasks. Nevertheless, it is not trivial to directly apply diffusion models for synthesizing an image of a target person wearing a given…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Siqi Wan , Yehao Li , Jingwen Chen , Yingwei Pan , Ting Yao , Yang Cao , Tao Mei

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

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) 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

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, 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

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

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

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

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

The virtual try-on system has gained great attention due to its potential to give customers a realistic, personalized product presentation in virtualized settings. In this paper, we present PT-VTON, a novel pose-transfer-based framework for…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Hanhan Zhou , Tian Lan , Guru Venkataramani

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

Diffusion-based 2D virtual try-on (VTON) techniques have recently demonstrated strong performance, while the development of 3D VTON has largely lagged behind. Despite recent advances in text-guided 3D scene editing, integrating 2D VTON into…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Yukang Cao , Masoud Hadi , Liang Pan , Ziwei Liu

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

Virtual clothes try-on has emerged as a vital feature in online shopping, offering consumers a critical tool to visualize how clothing fits. In our research, we introduce an innovative approach for virtual clothes try-on, utilizing a…

Computer Vision and Pattern Recognition · Computer Science 2024-06-18 Lingxiao Lu , Shengyi Wu , Haoxuan Sun , Junhong Gou , Jianlou Si , Chen Qian , Jianfu Zhang , Liqing Zhang
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