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Existing 4D human datasets fall short for fashion-specific research, lacking either realistic garment dynamics or task-specific annotations. Synthetic datasets suffer from a realism gap, whereas real-world captures lack the detailed…

Computer Vision and Pattern Recognition · Computer Science 2026-03-10 Hunor Laczkó , Libang Jia , Loc-Phat Truong , Diego Hernández , Sergio Escalera , Jordi Gonzalez , Meysam Madadi

Recent diffusion- and flow-based VTON methods achieve strong results with pretrained generative models, but their reliance on multi-step sampling incurs high inference cost, while existing acceleration methods largely overlook the intrinsic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Xianbing Sun , Jiahui Zhan , Liqing Zhang , Jianfu Zhang

The task of video virtual try-on aims to fit the target clothes to a person in the video with spatio-temporal consistency. Despite tremendous progress of image virtual try-on, they lead to inconsistency between frames when applied to…

Computer Vision and Pattern Recognition · Computer Science 2022-04-27 Jianbin Jiang , Tan Wang , He Yan , Junhui Liu

We present a real-time cloth animation method for dressing virtual humans of various shapes and poses. Our approach formulates the clothing deformation as a high-dimensional function of body shape parameters and pose parameters. In order to…

Graphics · Computer Science 2021-01-11 Nannan Wu , Qianwen Chao , Yanzhen Chen , Weiwei Xu , Chen Liu , Dinesh Manocha , Wenxin Sun , Yi Han , Xinran Yao , Xiaogang Jin

Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and…

Computer Vision and Pattern Recognition · Computer Science 2025-02-18 Zheng Chong , Xiao Dong , Haoxiang Li , Shiyue Zhang , Wenqing Zhang , Xujie Zhang , Hanqing Zhao , Dongmei Jiang , Xiaodan Liang

Virtual try-on under arbitrary poses has attracted lots of research attention due to its huge potential applications. However, existing methods can hardly preserve the details in clothing texture and facial identity (face, hair) while…

Computer Vision and Pattern Recognition · Computer Science 2020-10-28 Jiahang Wang , Wei Zhang , Weizhong Liu , Tao Mei

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 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

Recent advancements in Virtual Try-On (VTO) have demonstrated exceptional efficacy in generating realistic images and preserving garment details, largely attributed to the robust generative capabilities of text-to-image (T2I) diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Zhenchen Wan , Yanwu Xu , Zhaoqing Wang , Feng Liu , Tongliang Liu , Mingming Gong

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 synthesize photorealistic images of a person wearing specified garments. Despite significant progress, building a universal VTON framework that can flexibly handle diverse and complex tasks remains…

Computer Vision and Pattern Recognition · Computer Science 2026-02-11 Wei Zhang , Yeying Jin , Xin Li , Yan Zhang , Xiaofeng Cong , Cong Wang , Fengcai Qiao , zhichao Lian

We present InstructVTON, an instruction-following interactive virtual try-on system that allows fine-grained and complex styling control of the resulting generation, guided by natural language, on single or multiple garments. A…

Computer Vision and Pattern Recognition · Computer Science 2025-09-26 Julien Han , Shuwen Qiu , Qi Li , Xingzi Xu , Mehmet Saygin Seyfioglu , Kavosh Asadi , Karim Bouyarmane

Given a pair of images-target person and garment on another person-we automatically generate the target person in the given garment. Previous methods mostly focused on texture transfer via paired data training, while overlooking body shape…

Computer Vision and Pattern Recognition · Computer Science 2021-06-04 Kathleen M Lewis , Srivatsan Varadharajan , Ira Kemelmacher-Shlizerman

Designing real and virtual garments is becoming extremely demanding with rapidly changing fashion trends and increasing need for synthesizing realistic dressed digital humans for various applications. This necessitates creating simple and…

Graphics · Computer Science 2018-07-17 Tuanfeng Y. Wang , Duygu Ceylan , Jovan Popovic , Niloy J. Mitra

Image-based virtual try-on strives to transfer the appearance of a clothing item onto the image of a target person. Prior work focuses mainly on upper-body clothes (e.g. t-shirts, shirts, and tops) and neglects full-body or lower-body…

Computer Vision and Pattern Recognition · Computer Science 2022-07-14 Davide Morelli , Matteo Fincato , Marcella Cornia , Federico Landi , Fabio Cesari , Rita Cucchiara

Image-based virtual try-on involves synthesizing perceptually convincing images of a model wearing a particular garment and has garnered significant research interest due to its immense practical applicability. Recent methods involve a two…

Computer Vision and Pattern Recognition · Computer Science 2021-09-16 Ayush Chopra , Rishabh Jain , Mayur Hemani , Balaji Krishnamurthy

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

Virtual try-on has made significant progress in recent years. This paper addresses how to achieve multifunctional virtual try-on guided solely by text instructions, including full outfit change and local editing. Previous methods primarily…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Yujie Hu , Xuanyu Zhang , Weiqi Li , Jian Zhang

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

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