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Virtual try-on (VTON) technology has gained attention due to its potential to transform online retail by enabling realistic clothing visualization of images and videos. However, most existing methods struggle to achieve high-quality results…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Zheng Chong , Wenqing Zhang , Shiyue Zhang , Jun Zheng , Xiao Dong , Haoxiang Li , Yiling Wu , Dongmei Jiang , Xiaodan Liang

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

Learning an effective outfit-level representation is critical for predicting the compatibility of items in an outfit, and retrieving complementary items for a partial outfit. We present a framework, OutfitTransformer, that uses the proposed…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Rohan Sarkar , Navaneeth Bodla , Mariya I. Vasileva , Yen-Liang Lin , Anurag Beniwal , Alan Lu , Gerard Medioni

We introduce DreamPaint, a framework to intelligently inpaint any e-commerce product on any user-provided context image. The context image can be, for example, the user's own image for virtual try-on of clothes from the e-commerce catalog…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Mehmet Saygin Seyfioglu , Karim Bouyarmane , Suren Kumar , Amir Tavanaei , Ismail B. Tutar

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes is currently unavailable in the required resolution and…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Oshri Halimi , Fabian Prada , Tuur Stuyck , Donglai Xiang , Timur Bagautdinov , He Wen , Ron Kimmel , Takaaki Shiratori , Chenglei Wu , Yaser Sheikh

Our work addresses the problem of learning to localize objects in an open-world setting, i.e., given the bounding box information of a limited number of object classes during training, the goal is to localize all objects, belonging to both…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Ashish Singh , Michael J. Jones , Kuan-Chuan Peng , Anoop Cherian , Moitreya Chatterjee , Erik Learned-Miller

Video virtual try-on technology provides a cost-effective solution for creating marketing videos in fashion e-commerce. However, its practical adoption is hindered by two critical limitations. First, the reliance on a single garment image…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Jianhao Zeng , Yancheng Bai , Ruidong Chen , Xuanpu Zhang , Lei Sun , Dongyang Jin , Ryan Xu , Nannan Zhang , Dan Song , Xiangxiang Chu

Nowadays, recommender systems and search engines play an integral role in fashion e-commerce. Still, many challenges lie ahead, and this study tries to tackle some. This article first suggests a content-based fashion recommender system that…

Information Retrieval · Computer Science 2022-07-26 Seyed Omid Mohammadi , Hossein Bodaghi , Ahmad Kalhor

Complementary fashion recommendation aims at identifying items from different categories (e.g. shirt, footwear, etc.) that "go well together" as an outfit. Most existing approaches learn representation for this task using labeled outfit…

Computer Vision and Pattern Recognition · Computer Science 2022-06-14 Additya Popli , Vijay Kumar , Sujit Jos , Saraansh Tandon

Image-based virtual try-on is an increasingly popular and important task to generate realistic try-on images of the specific person. Recent methods model virtual try-on as image mask-inpaint task, which requires masking the person image and…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Xuanpu Zhang , Dan Song , Pengxin Zhan , Tianyu Chang , Jianhao Zeng , Qingguo Chen , Weihua Luo , Anan Liu

Video Virtual Try-on aims to seamlessly transfer a reference garment onto a target person in a video while preserving both visual fidelity and temporal coherence. Existing methods typically rely on inpainting masks to define the try-on…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Tianyu Chang , Xiaohao Chen , Zhichao Wei , Xuanpu Zhang , Qing-Guo Chen , Weihua Luo , Peipei Song , Xun Yang

Alignment between real and virtual objects is a challenging task required for the deployment of Mixed Reality (MR) into manufacturing, medical, and construction applications. To face this challenge, a series of methods have been proposed.…

Human-Computer Interaction · Computer Science 2022-11-17 Alejandro Martin-Gomez , Alexander Winkler , Rafael de la Tijera Obert , Javad Fotouhi , Daniel Roth , Ulrich Eck , Nassir Navab

The ubiquity of online fashion shopping demands effective recommendation services for customers. In this paper, we study two types of fashion recommendation: (i) suggesting an item that matches existing components in a set to form a stylish…

Computer Vision and Pattern Recognition · Computer Science 2017-07-19 Xintong Han , Zuxuan Wu , Yu-Gang Jiang , Larry S. Davis

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

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

Image-based virtual try-on (VTON) aims to generate a virtual try-on result by transferring an input garment onto a target person's image. However, the scarcity of paired garment-model data makes it challenging for existing methods to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Hailong Guo , Bohan Zeng , Yiren Song , Wentao Zhang , Chuang Zhang , Jiaming Liu

We propose a novel self-supervised framework for retargeting non-parameterized 3D garments onto 3D human avatars of arbitrary shapes and poses, enabling 3D virtual try-on (VTON). Existing self-supervised 3D retargeting methods only support…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Shanthika Naik , Kunwar Singh , Astitva Srivastava , Dhawal Sirikonda , Amit Raj , Varun Jampani , Avinash Sharma

The estimation of viewpoints and keypoints effectively enhance object detection methods by extracting valuable traits of the object instances. While the output of both processes differ, i.e., angles vs. list of characteristic points, they…

Computer Vision and Pattern Recognition · Computer Science 2019-12-16 Pau Panareda Busto , Juergen Gall

Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce.Existing VTON approaches can be narrowly categorized into Parser-Based(PB) and Parser-Free(PF) by whether relying on the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-26 Chao Lin , Zhao Li , Sheng Zhou , Shichang Hu , Jialun Zhang , Linhao Luo , Jiarun Zhang , Longtao Huang , Yuan He

This paper introduces a novel framework for virtual try-on, termed Wear-Any-Way. Different from previous methods, Wear-Any-Way is a customizable solution. Besides generating high-fidelity results, our method supports users to precisely…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Mengting Chen , Xi Chen , Zhonghua Zhai , Chen Ju , Xuewen Hong , Jinsong Lan , Shuai Xiao