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Image-based 3D Virtual Try-ON (VTON) aims to sculpt the 3D human according to person and clothes images, which is data-efficient (i.e., getting rid of expensive 3D data) but challenging. Recent text-to-3D methods achieve remarkable…

Computer Vision and Pattern Recognition · Computer Science 2024-07-24 Zhenyu Xie , Haoye Dong , Yufei Gao , Zehua Ma , 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

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

Controllable text-to-image (T2I) diffusion models have shown impressive performance in generating high-quality visual content through the incorporation of various conditions. Current methods, however, exhibit limited performance when guided…

Computer Vision and Pattern Recognition · Computer Science 2024-11-06 Jiajun Wang , Morteza Ghahremani , Yitong Li , Björn Ommer , Christian Wachinger

In this paper, we propose a novel virtual try-on from unconstrained designs (ucVTON) task to enable photorealistic synthesis of personalized composite clothing on input human images. Unlike prior arts constrained by specific input types,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Shuliang Ning , Duomin Wang , Yipeng Qin , Zirong Jin , Baoyuan Wang , Xiaoguang Han

Virtual Try-On (VTON) technology allows users to visualize how clothes would look on them without physically trying them on, gaining traction with the rise of digitalization and online shopping. Traditional VTON methods, often using…

Computer Vision and Pattern Recognition · Computer Science 2025-01-14 Seohyun Lee , Jintae Park , Sanghyeok Park

Virtual try-on can significantly improve the garment shopping experiences in both online and in-store scenarios, attracting broad interest in computer vision. However, to achieve high-fidelity try-on performance, most state-of-the-art…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Yunfang Niu , Dong Yi , Lingxiang Wu , Zhiwei Liu , Pengxiang Cai , Jinqiao Wang

The task of image-based virtual try-on aims to transfer a target clothing item onto the corresponding region of a person, which is commonly tackled by fitting the item to the desired body part and fusing the warped item with the person.…

Computer Vision and Pattern Recognition · Computer Science 2021-09-13 Seunghwan Choi , Sunghyun Park , Minsoo Lee , Jaegul Choo

Fashion illustration is a crucial medium for designers to convey their creative vision and transform design concepts into tangible representations that showcase the interplay between clothing and the human body. In the context of fashion…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Alberto Baldrati , Davide Morelli , Marcella Cornia , Marco Bertini , Rita Cucchiara

Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable progress, existing state-of-the-art unsupervised trackers often…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Zhengbo Zhang , Zhigang Tu , Junsong Yuan , De Wen Soh , Bo Du

Virtual try-on seeks to generate photorealistic images of individuals in desired garments, a task that must simultaneously preserve personal identity and garment fidelity for practical use in fashion retail and personalization. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Ankan Deria , Dwarikanath Mahapatra , Behzad Bozorgtabar , Mohna Chakraborty , Snehashis Chakraborty , Sudipta Roy

Diffusion-based models have achieved state-of-the-art performance on text-to-image synthesis tasks. However, one critical limitation of these models is the low fidelity of generated images with respect to the text description, such as…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Qiucheng Wu , Yujian Liu , Handong Zhao , Trung Bui , Zhe Lin , Yang Zhang , Shiyu Chang

Image-based virtual try-on aims to transfer target in-shop clothing to a dressed model image, the objectives of which are totally taking off original clothing while preserving the contents outside of the try-on area, naturally wearing…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Dan Song , Xuanpu Zhang , Jianhao Zeng , Pengxin Zhan , Qingguo Chen , Weihua Luo , An-An Liu

Video virtual try-on aims to seamlessly dress a subject in a video with a specific garment. The primary challenge involves preserving the visual authenticity of the garment while dynamically adapting to the pose and physique of the subject.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Dong Li , Wenqi Zhong , Wei Yu , Yingwei Pan , Dingwen Zhang , Ting Yao , Junwei Han , Tao Mei

This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on. Our method first reasons the transfer parsing to provide shape prior to downstream tasks. We employ a multi-phase teaching…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Naiyu Fang , Lemiao Qiu , Shuyou Zhang , Zili Wang , Kerui Hu , Jianrong Tan

Recent advancements in text-to-image diffusion models have demonstrated their remarkable capability to generate high-quality images from textual prompts. However, increasing research indicates that these models memorize and replicate images…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Jie Ren , Yaxin Li , Shenglai Zeng , Han Xu , Lingjuan Lyu , Yue Xing , Jiliang Tang

With the development of deep learning technology, virtual try-on technology has devel-oped important application value in the fields of e-commerce, fashion, and entertainment. The recently proposed Leffa technology has addressed the texture…

Computer Vision and Pattern Recognition · Computer Science 2025-11-20 Sehyun Kim , Hye Jun Lee , Jiwoo Lee , Taemin Lee

While virtual try-on for clothes and shoes with diffusion models has gained attraction, virtual try-on for ornaments, such as bracelets, rings, earrings, and necklaces, remains largely unexplored. Due to the intricate tiny patterns and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Yingmao Miao , Zhanpeng Huang , Rui Han , Zibin Wang , Chenhao Lin , Chao Shen

Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference appearance image onto a clothing image while preserving the…

Computer Vision and Pattern Recognition · Computer Science 2023-02-15 Shidong Cao , Wenhao Chai , Shengyu Hao , Yanting Zhang , Hangyue Chen , Gaoang Wang

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
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