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Despite remarkable progress in image-based virtual try-on systems, generating realistic and robust fitting images for cross-category virtual try-on remains a challenging task. The primary difficulty arises from the absence of human-like…

Computer Vision and Pattern Recognition · Computer Science 2025-02-21 Donghao Luo , Yujie Liang , Xu Peng , Xiaobin Hu , Boyuan Jiang , Chengming Xu , Taisong Jin , Chengjie Wang , Yanwei Fu

The fashion e-commerce industry has witnessed significant growth in recent years, prompting exploring image-based virtual try-on techniques to incorporate Augmented Reality (AR) experiences into online shopping platforms. However, existing…

Computer Vision and Pattern Recognition · Computer Science 2023-08-29 Khoi-Nguyen Nguyen-Ngoc , Thanh-Tung Phan-Nguyen , Khanh-Duy Le , Tam V. Nguyen , Minh-Triet Tran , Trung-Nghia Le

Previous virtual try-on methods usually focus on aligning a clothing item with a person, limiting their ability to exploit the complex pose, shape and skin color of the person, as well as the overall structure of the clothing, which is…

Computer Vision and Pattern Recognition · Computer Science 2022-12-29 H. Zunair , Y. Gobeil , S. Mercier , A. Ben Hamza

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

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forwards to explore versatile virtual try-on solutions, which we…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Zhenyu Xie , Zaiyu Huang , Fuwei Zhao , Haoye Dong , Michael Kampffmeyer , Xin Dong , Feida Zhu , Xiaodan Liang

We present a comparison review that evaluates popular techniques for garment draping for 3D fashion design, virtual try-ons, and animations. A comparative study is performed between various methods for garment draping of clothing over the…

Graphics · Computer Science 2024-05-21 Prerana Achar , Mayank Patel , Anushka Mulik , Neha Katre , Stevina Dias , Chirag Raman

Recent advances in Virtual Try-On (VTON) and Virtual Try-Off (VTOFF) have greatly improved photo-realistic fashion synthesis and garment reconstruction. However, existing datasets remain static, lacking instruction-driven editing for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Fulvio Sanguigni , Davide Lobba , Bin Ren , Marcella Cornia , Nicu Sebe , Rita Cucchiara

Virtual try-on has garnered interest as a neural rendering benchmark task to evaluate complex object transfer and scene composition. Recent works in virtual clothing try-on feature a plethora of possible architectural and data…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Gaurav Kuppa , Andrew Jong , Vera Liu , Ziwei Liu , Teng-Sheng Moh

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

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

This paper presents a learning-based clothing animation method for highly efficient virtual try-on simulation. Given a garment, we preprocess a rich database of physically-based dressed character simulations, for multiple body shapes and…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Igor Santesteban , Miguel A. Otaduy , Dan Casas

Existing image-based virtual try-on methods are often limited to the front view and lack real-time performance. While per-garment virtual try-on methods have tackled these issues by capturing per-garment datasets and training per-garment…

Graphics · Computer Science 2025-06-13 Zaiqiang Wu , Yechen Li , Jingyuan Liu , Yuki Shibata , Takayuki Hori , I-Chao Shen , Takeo Igarashi

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

Virtual fitting room is a challenging task yet useful feature for e-commerce platforms and fashion designers. Existing works can only detect very few types of fashion items. Besides they did poorly in changing the texture and style of the…

Computer Vision and Pattern Recognition · Computer Science 2021-04-12 Zhiling Huang , Junwen Bu , Jie Chen

The 2D virtual try-on task has recently attracted a great interest from the research community, for its direct potential applications in online shopping as well as for its inherent and non-addressed scientific challenges. This task requires…

Computer Vision and Pattern Recognition · Computer Science 2020-07-30 Thibaut Issenhuth , Jérémie Mary , Clément Calauzènes

Per-garment virtual try-on methods collect garment-specific datasets and train networks tailored to each garment to achieve superior results. However, these approaches often struggle with loose-fitting garments due to two key limitations:…

Graphics · Computer Science 2025-09-05 Zaiqiang Wu , I-Chao Shen , Takeo Igarashi

Although existing virtual try-on systems have made significant progress with the advent of diffusion models, the current benchmarks of these models are based on datasets that are dominant in western-style clothing and female models,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Muhammad Tausif Ul Islam , Shahir Awlad , Sameen Yeaser Adib , Md. Atiqur Rahman , Sabbir Ahmed , Md. Hasanul Kabir

We present a virtual reality (VR) framework to automate the data collection process in cloth folding tasks. The framework uses skeleton representations to help the user define the folding plans for different classes of garments, allowing…

Robotics · Computer Science 2023-12-18 Marco Moletta , Maciej K. Wozniak , Michael C. Welle , Danica Kragic

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

In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this setting as they estimate garment warping flows mainly based on 2D…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Zaiyu Huang , Hanhui Li , Zhenyu Xie , Michael Kampffmeyer , Qingling Cai , Xiaodan Liang