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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 models have led to the revolutionizing of generative modeling in numerous image synthesis tasks. Nevertheless, it is not trivial to directly apply diffusion models for synthesizing an image of a target person wearing a given…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Siqi Wan , Yehao Li , Jingwen Chen , Yingwei Pan , Ting Yao , Yang Cao , Tao Mei

Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diverse scenarios. These methods often struggle with issues such…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Boyuan Jiang , Xiaobin Hu , Donghao Luo , Qingdong He , Chengming Xu , Jinlong Peng , Jiangning Zhang , Chengjie Wang , Yunsheng Wu , Yanwei Fu

The goal of image-based virtual try-on is to generate an image of the target person naturally wearing the given clothing. However, existing methods solely focus on the frontal try-on using the frontal clothing. When the views of the…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Haoyu Wang , Zhilu Zhang , Donglin Di , Shiliang Zhang , Wangmeng Zuo

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

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

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

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

Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Dan Song , Xuanpu Zhang , Juan Zhou , Weizhi Nie , Ruofeng Tong , Mohan Kankanhalli , An-An Liu

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

The fashion industry is increasingly leveraging computer vision and deep learning technologies to enhance online shopping experiences and operational efficiencies. In this paper, we address the challenge of generating high-fidelity tiled…

Computer Vision and Pattern Recognition · Computer Science 2025-01-06 Ioannis Xarchakos , Theodoros Koukopoulos

This paper addresses a new virtual try-on problem of fitting any size of clothes to a reference person in the image domain. While previous image-based virtual try-on methods can produce highly natural try-on images, these methods fit the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Yohei Yamashita , Chihiro Nakatani , Norimichi Ukita

Recent advancements in text-to-image diffusion models have significantly transformed visual content generation, yet their application in specialized fields such as interior design remains underexplored. In this paper, we present…

Computer Vision and Pattern Recognition · Computer Science 2024-09-06 Zhaowei Wang , Ying Hao , Hao Wei , Qing Xiao , Lulu Chen , Yulong Li , Yue Yang , Tianyi Li

Virtual try-on, a rapidly evolving field in computer vision, is transforming e-commerce by improving customer experiences through precise garment warping and seamless integration onto the human body. While existing methods such as TPS and…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Sanhita Pathak , Vinay Kaushik , Brejesh Lall

Virtual Try-On technology has garnered significant attention for its potential to transform the online fashion retail experience by allowing users to visualize how garments would look on them without physical trials. While recent advances…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Minh Tran , Johnmark Clements , Annie Prasanna , Tri Nguyen , Ngan Le

The garment-to-person virtual try-on (VTON) task, which aims to generate fitting images of a person wearing a reference garment, has made significant strides. However, obtaining a standard garment is often more challenging than using the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-04 Le Shen , Yanting Kang , Rong Huang , Zhijie Wang

Virtual Try-on (VTON) involves generating images of a person wearing selected garments. Diffusion-based methods, in particular, can create high-quality images, but they struggle to maintain the identities of the input garments. We…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jeffrey Zhang , Kedan Li , Shao-Yu Chang , David Forsyth

The development of virtual try-on has revolutionized online shopping by allowing customers to visualize themselves in various fashion items, thus extending the in-store try-on experience to the cyber space. Although virtual try-on has…

Multimedia · Computer Science 2024-04-23 Mingzhe Yu , Yunshan Ma , Lei Wu , Kai Cheng , Xue Li , Lei Meng , Tat-Seng Chua

Video virtual try-on (VVT) technology has garnered considerable academic interest owing to its promising applications in e-commerce advertising and entertainment. However, most existing end-to-end methods rely heavily on scarce paired…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Tongchun Zuo , Zaiyu Huang , Shuliang Ning , Ente Lin , Chao Liang , Zerong Zheng , Jianwen Jiang , Yuan Zhang , Mingyuan Gao , Xin Dong

This paper introduces Virtual Try-Off (VTOFF), a novel task generating standardized garment images from single photos of clothed individuals. Unlike Virtual Try-On (VTON), which digitally dresses models, VTOFF extracts canonical garment…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Riza Velioglu , Petra Bevandic , Robin Chan , Barbara Hammer