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In this paper, we propose a Landmark Guided Virtual Try-On (LGVTON) method for clothes, which aims to solve the problem of clothing trials on e-commerce websites. Given the images of two people: a person and a model, it generates a…

Computer Vision and Pattern Recognition · Computer Science 2021-09-30 Debapriya Roy , Sanchayan Santra , Bhabatosh Chanda

We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing image to 3D garments of arbitrary shapes. Existing approaches typically synthesize textures on the garment surface through 2D-to-3D texture…

Computer Vision and Pattern Recognition · Computer Science 2024-10-03 Cheng Zhang , Yuanhao Wang , Francisco Vicente Carrasco , Chenglei Wu , Jinlong Yang , Thabo Beeler , Fernando De la Torre

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

Diffusion models enable high-quality virtual try-on (VTO) with their established image synthesis abilities. Despite the extensive end-to-end training of large pre-trained models involved in current VTO methods, real-world applications often…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Xingzi Xu , Qi Li , Shuwen Qiu , Julien Han , Karim Bouyarmane

Generative Adversarial Networks (GANs) dominate the research field in image-based virtual try-on, but have not resolved problems such as unnatural deformation of garments and the blurry generation quality. While the generative quality of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-29 Jianhao Zeng , Dan Song , Weizhi Nie , Hongshuo Tian , Tongtong Wang , Anan Liu

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

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 technology has become increasingly important in the fashion and retail industries, enabling the generation of high-fidelity garment images that adapt seamlessly to target human models. While existing methods have achieved…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Ming Meng , Qi Dong , Jiajie Li , Zhe Zhu , Xingyu Wang , Zhaoxin Fan , Wei Zhao , Wenjun Wu

The growing digital landscape of fashion e-commerce calls for interactive and user-friendly interfaces for virtually trying on clothes. Traditional try-on methods grapple with challenges in adapting to diverse backgrounds, poses, and…

Human-Computer Interaction · Computer Science 2024-02-06 Justin Blalock , David Munechika , Harsha Karanth , Alec Helbling , Pratham Mehta , Seongmin Lee , Duen Horng Chau

We propose AvatarVTON, the first 4D virtual try-on framework that generates realistic try-on results from a single in-shop garment image, enabling free pose control, novel-view rendering, and diverse garment choices. Unlike existing…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Zicheng Jiang , Jixin Gao , Shengfeng He , Xinzhe Li , Yulong Zheng , Zhaotong Yang , Junyu Dong , Yong Du

This paper introduces MMTryon, a multi-modal multi-reference VIrtual Try-ON (VITON) framework, which can generate high-quality compositional try-on results by taking a text instruction and multiple garment images as inputs. Our MMTryon…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Xujie Zhang , Ente Lin , Xiu Li , Yuxuan Luo , Michael Kampffmeyer , Xin Dong , Xiaodan Liang

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

Image-based virtual try-on is challenging in fitting a target in-shop clothes into a reference person under diverse human poses. Previous works focus on preserving clothing details ( e.g., texture, logos, patterns ) when transferring…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Bingwen Hu , Ping Liu , Zhedong Zheng , Mingwu Ren

In this paper, we propose a novel virtual try-on from unconstrained designs (ucVTON) task to enable photorealistic synthesis of personalized composite clothing on input human images. Unlike prior arts constrained by specific input types,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Shuliang Ning , Duomin Wang , Yipeng Qin , Zirong Jin , Baoyuan Wang , Xiaoguang Han

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

Image-based Virtual Try-On (VTON) concerns the synthesis of realistic person imagery through garment re-rendering under human pose and body constraints. In practice, however, existing approaches are typically optimized for specific data…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Zhaotong Yang , Yong Du , Shengfeng He , Yuhui Li , Xinzhe Li , Yangyang Xu , Junyu Dong , Jian Yang

The task of image-based virtual try-on aims to transfer a target clothing item onto the corresponding region of a person, which is commonly tackled by fitting the item to the desired body part and fusing the warped item with the person.…

Computer Vision and Pattern Recognition · Computer Science 2021-09-13 Seunghwan Choi , Sunghyun Park , Minsoo Lee , Jaegul Choo

Virtual try-on (VTON) has advanced single-garment visualization, yet real-world fashion centers on full outfits with multiple garments, accessories, fine-grained categories, layering, and diverse styling, remaining beyond current VTON…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Junyao Hu , Zhongwei Cheng , Waikeung Wong , Xingxing Zou

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

Image visual try-on aims at transferring a target clothing image onto a reference person, and has become a hot topic in recent years. Prior arts usually focus on preserving the character of a clothing image (e.g. texture, logo, embroidery)…

Computer Vision and Pattern Recognition · Computer Science 2020-03-13 Han Yang , Ruimao Zhang , Xiaobao Guo , Wei Liu , Wangmeng Zuo , Ping Luo
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