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To enable large-scale reuse of real-world 3D assets, where garments and characters rarely share skeletons, templates, or dense correspondences, we present a fully automated virtual try-on system that dresses complex, multi-layer garments…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Cong Cao , Xianhang Cheng , Jingyuan Liu , Yujian Zheng , Zhenhui Lin , Ren Li , Meriem Chkir , Hao Li

Virtual try-on focuses on adjusting the given clothes to fit a specific person seamlessly while avoiding any distortion of the patterns and textures of the garment. However, the clothing identity uncontrollability and training inefficiency…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Jiazheng Xing , Chao Xu , Yijie Qian , Yang Liu , Guang Dai , Baigui Sun , Yong Liu , Jingdong Wang

Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with the corresponding body parts in the person image. Prior…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Sen He , Yi-Zhe Song , Tao Xiang

Virtual try-on systems have significant potential in e-commerce, allowing customers to visualize garments on themselves. Existing image-based methods fall into two categories: those that directly warp garment-images onto person-images…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Kosuke Takemoto , Takafumi Koshinaka

Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usually work in a two-stage pipeline. First, the garment image is…

Computer Vision and Pattern Recognition · Computer Science 2023-04-03 Aiyu Cui , Sen He , Tao Xiang , Antoine Toisoul

Virtual try-on systems allow users to interactively try different products within VR scenarios. However, most existing VTON methods operate only on predefined eyewear templates and lack support for fine-grained, user-driven customization.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-27 Rui-Yang Ju , Jen-Shiun Chiang

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

Reconstructing photorealistic and dynamic portrait avatars from images is essential to many applications including advertising, visual effects, and virtual reality. Depending on the application, avatar reconstruction involves different…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Felix Taubner , Ruihang Zhang , Mathieu Tuli , David B. Lindell

Recent communities have seen significant progress in building photo-realistic animatable avatars from sparse multi-view videos. However, current workflows struggle to render realistic garment dynamics for loose-fitting characters as they…

Computer Vision and Pattern Recognition · Computer Science 2024-01-30 Beijia Chen , Yuefan Shen , Qing Shuai , Xiaowei Zhou , Kun Zhou , Youyi Zheng

With the increasing development of garment manufacturing industry, the method of combining neural network with industry to reduce product redundancy has been paid more and more attention.In order to reduce garment redundancy and achieve…

Computer Vision and Pattern Recognition · Computer Science 2021-06-01 Shanchen Pang , Xixi Tao , Neal N. Xiong , Yukun Dong

Real-time talking avatar generation requires low latency and minute-level temporal stability. Autoregressive (AR) forcing enables streaming inference but suffers from exposure bias, which causes errors to accumulate and become irreversible…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 Liyuan Cui , Wentao Hu , Wenyuan Zhang , Zesong Yang , Fan Shi , Xiaoqiang Liu

VTON (Virtual Try-ON) aims at synthesizing the target clothing on a certain person, preserving the details of the target clothing while keeping the rest of the person unchanged. Existing methods suffer from the discrepancies between the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Shengjie Lu , Zhibin Wan , Jiejie Liu , Quan Zhang , Mingjie Sun

Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear realistic and accurately display the interaction between…

Computer Vision and Pattern Recognition · Computer Science 2021-06-15 Kedan Li , Min jin Chong , Jeffrey Zhang , Jingen Liu

Artifacts often degrade the visual quality of virtual try-on (VTON) and pose transfer applications, impacting user experience. This study introduces a novel conditional inpainting technique designed to detect and remove such distortions,…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Aref Tabatabaei , Zahra Dehghanian , Maryam Amirmazlaghani

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

Most virtual try-on research is motivated to serve the fashion business by generating images to demonstrate garments on studio models at a lower cost. However, virtual try-on should be a broader application that also allows customers to…

Computer Vision and Pattern Recognition · Computer Science 2024-07-18 Aiyu Cui , Jay Mahajan , Viraj Shah , Preeti Gomathinayagam , Chang Liu , Svetlana Lazebnik

We present a novel approach for generating animatable 3D-aware art avatars from a single image, with controllable facial expressions, head poses, and shoulder movements. Unlike previous reenactment methods, our approach utilizes a…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Shaoxu Li

Realistic reconstruction of 3D clothing from an image has wide applications, such as avatar creation and virtual try-on. This paper presents a novel framework that reconstructs the texture map for 3D garments from a single image with pose.…

Graphics · Computer Science 2023-10-27 Hyun-Song Kwon , Sung-Hee Lee

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

We introduce AvatarBooth, a novel method for generating high-quality 3D avatars using text prompts or specific images. Unlike previous approaches that can only synthesize avatars based on simple text descriptions, our method enables the…

Computer Vision and Pattern Recognition · Computer Science 2023-06-19 Yifei Zeng , Yuanxun Lu , Xinya Ji , Yao Yao , Hao Zhu , Xun Cao