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Most existing virtual try-on applications require clean clothes images. Instead, we present a novel virtual Try-On network, M2E-Try On Net, which transfers the clothes from a model image to a person image without the need of any clean…

Computer Vision and Pattern Recognition · Computer Science 2019-08-08 Zhonghua Wu , Guosheng Lin , Qingyi Tao , Jianfei Cai

The clothing fashion reflects the common aesthetics that people share with each other in dressing. To recognize the fashion time of a clothing is meaningful for both an individual and the industry. In this paper, under the assumption that…

Computer Vision and Pattern Recognition · Computer Science 2018-03-14 Zheng Zhang , Chengfang Song , Qin Zou

We present an end-to-end virtual try-on pipeline, that can fit different clothes on a personalized 3-D human model, reconstructed using a single RGB image. Our main idea is to construct an animatable 3-D human model and try-on different…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Gayal Kuruppu , Bumuthu Dilshan , Shehan Samarasinghe , Nipuna Madhushan , Ranga Rodrigo

We present Vanast, a unified framework that generates garment-transferred human animation videos directly from a single human image, garment images, and a pose guidance video. Conventional two-stage pipelines treat image-based virtual…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Hyunsoo Cha , Wonjung Woo , Byungjun Kim , Hanbyul Joo

With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation as an RGB image in a two dimensional pattern space. Then a…

Computer Vision and Pattern Recognition · Computer Science 2018-12-06 Ning Jin , Yilin Zhu , Zhenglin Geng , Ronald Fedkiw

Virtual try-on aims to synthesize a realistic image of a person wearing a target garment, but accurately modeling garment-body correspondence remains a persistent challenge, especially under pose and appearance variation. In this paper, we…

Graphics · Computer Science 2025-11-06 Seungyong Lee , Jeong-gi Kwak

We introduce RefTon, a flux-based person-to-person virtual try-on framework that enhances garment realism through unpaired visual references. Unlike conventional approaches that rely on complex auxiliary inputs such as body parsing and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Liuzhuozheng Li , Yue Gong , Shanyuan Liu , Dengyang Jiang , Zanyi Wang , Bo Cheng , Yuhang Ma , Leibucha Wu , Dawei Leng , Yuhui Yin

Virtual try-on (VTON) is a crucial task for enhancing user experience in online shopping by generating realistic garment previews on personal photos. Although existing methods have achieved impressive results, they struggle with…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Zhiying Li , Junhao Wu , Yeying Jin , Daiheng Gao , Yun Ji , Kaichuan Kong , Lei Yu , Hao Xu , Kai Chen , Bruce Gu , Nana Wang , Zhaoxin Fan

We propose a flexible person generation framework called Dressing in Order (DiOr), which supports 2D pose transfer, virtual try-on, and several fashion editing tasks. The key to DiOr is a novel recurrent generation pipeline to sequentially…

Computer Vision and Pattern Recognition · Computer Science 2022-10-19 Aiyu Cui , Daniel McKee , Svetlana Lazebnik

Video virtual try-on aims to replace the clothing of a person in a video with a target garment. Current dual-branch architectures have achieved significant success in diffusion models based on the U-Net; however, adapting them to diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Yanjie Pan , Qingdong He , Lidong Wang , Bo Peng , Mingmin Chi

Realistic virtual try-on (VTON) concerns not only faithful rendering of garment details but also coordination of the style. Prior art typically pursues the former, but neglects a key factor that shapes the holistic style -- garment fit.…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Lu Yang , Yicheng Liu , Yanan Li , Xiang Bai , Hao Lu

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

Accurate histopathological diagnosis often requires multiple differently stained tissue sections, a process that is time-consuming, labor-intensive, and environmentally taxing due to the use of multiple chemical stains. Recently, virtual…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Jiabo MA , Wenqiang Li , Jinbang Li , Ziyi Liu , Linshan Wu , Fengtao Zhou , Li Liang , Ronald Cheong Kin Chan , Terence T. W. Wong , Hao Chen

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

Conditioning image generation on specific features of the desired output is a key ingredient of modern generative models. However, existing approaches lack a general and unified way of representing structural and semantic conditioning at…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Luca Butera , Andrea Cini , Alberto Ferrante , Cesare Alippi

Estimating physically accurate, simulation-ready garments from a single image is challenging due to the absence of image-to-physics datasets and the ill-posed nature of this problem. Prior methods either require multi-view capture and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Selim Emir Can , Jan Ackermann , Kiyohiro Nakayama , Ruofan Liu , Tong Wu , Yang Zheng , Hugo Bertiche , Menglei Chai , Thabo Beeler , Gordon Wetzstein

In this paper, we present a method of clothes retargeting; generating the potential poses and deformations of a given 3D clothing template model to fit onto a person in a single RGB image. The problem is fundamentally ill-posed as attaining…

Computer Vision and Pattern Recognition · Computer Science 2021-02-02 Jae Shin Yoon , Kihwan Kim , Jan Kautz , Hyun Soo Park

The virtual try-on task is so attractive that it has drawn considerable attention in the field of computer vision. However, presenting the three-dimensional (3D) physical characteristic (e.g., pleat and shadow) based on a 2D image is very…

Computer Vision and Pattern Recognition · Computer Science 2021-02-09 Chien-Lung Chou , Chieh-Yun Chen , Chia-Wei Hsieh , Hong-Han Shuai , Jiaying Liu , Wen-Huang Cheng

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

Amidst the rapid growth of fashion e-commerce, remote fitting of fashion articles remains a complex and challenging problem and a main driver of customers' frustration. Despite the recent advances in 3D virtual try-on solutions, such…

Computer Vision and Pattern Recognition · Computer Science 2022-06-24 Sonia Pecenakova , Nour Karessli , Reza Shirvany
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