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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

Virtual Try-On (VTON) is a transformative technology in e-commerce and fashion design, enabling realistic digital visualization of clothing on individuals. In this work, we propose VTON 360, a novel 3D VTON method that addresses the open…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Zijian He , Yuwei Ning , Yipeng Qin , Guangrun Wang , Sibei Yang , Liang Lin , Guanbin Li

Latest advances have achieved realistic virtual try-on (VTON) through localized garment inpainting using latent diffusion models, significantly enhancing consumers' online shopping experience. However, existing VTON technologies neglect the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Fei Shen , Xin Jiang , Xin He , Hu Ye , Cong Wang , Xiaoyu Du , Zechao Li , Jinhui Tang

With the rapid development of e-commerce and digital fashion, image-based virtual try-on (VTON) has attracted increasing attention. However, existing VTON models often suffer from artifacts such as garment distortion and body inconsistency,…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Xinyi Wei , Sijing Wu , Zitong Xu , Yunhao Li , Huiyu Duan , Xiongkuo Min , Guangtao Zhai

Virtual try-on (VTON) transfers a target clothing image to a reference person, where clothing fidelity is a key requirement for downstream e-commerce applications. However, existing VTON methods still fall short in high-fidelity try-on due…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Han Yang , Yanlong Zang , Ziwei Liu

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

Given a person and a garment image, virtual try-on (VTO) aims to synthesize a realistic image of the person wearing the garment, while preserving their original pose and identity. Although recent VTO methods excel at visualizing garment…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Johanna Karras , Yuanhao Wang , Yingwei Li , Ira Kemelmacher-Shlizerman

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

Existing image-based virtual try-on (VTON) methods primarily focus on single-layer or multi-garment VTON, neglecting multi-layer VTON (ML-VTON), which involves dressing multiple layers of garments onto the human body with realistic…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Yang Yu , Yunze Deng , Yige Zhang , Yanjie Xiao , Youkun Ou , Wenhao Hu , Mingchao Li , Bin Feng , Wenyu Liu , Dandan Zheng , Jingdong Chen

Virtual try-on (VTON) has been widely explored for rendering garments onto person images, while its inverse task, virtual try-off (VTOFF), remains largely overlooked. VTOFF aims to recover standardized product images of garments directly…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Davide Lobba , Fulvio Sanguigni , Bin Ren , Marcella Cornia , Rita Cucchiara , Nicu Sebe

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

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

Computer vision is transforming fashion industry through Virtual Try-On (VTON) and Virtual Try-Off (VTOFF). VTON generates images of a person in a specified garment using a target photo and a standardized garment image, while a more…

Computer Vision and Pattern Recognition · Computer Science 2025-07-14 Riza Velioglu , Petra Bevandic , Robin Chan , Barbara Hammer

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

We present an image-based VIirtual Try-On Network (VITON) without using 3D information in any form, which seamlessly transfers a desired clothing item onto the corresponding region of a person using a coarse-to-fine strategy. Conditioned…

Computer Vision and Pattern Recognition · Computer Science 2018-06-14 Xintong Han , Zuxuan Wu , Zhe Wu , Ruichi Yu , Larry S. Davis

Fashion image generation has so far focused on narrow tasks such as virtual try-on, where garments appear in clean studio environments. In contrast, editorial fashion presents garments through dynamic poses, diverse locations, and carefully…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Yannick Hauri , Luca A. Lanzendörfer , Till Aczel

Virtual Try-ON (VTON) is a practical and widely-applied task, for which most of existing works focus on clothes. This paper presents OmniTry, a unified framework that extends VTON beyond garment to encompass any wearable objects, e.g.,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Yutong Feng , Linlin Zhang , Hengyuan Cao , Yiming Chen , Xiaoduan Feng , Jian Cao , Yuxiong Wu , Bin Wang

Virtual Try-On (VTON) has become a crucial tool in ecommerce, enabling the realistic simulation of garments on individuals while preserving their original appearance and pose. Early VTON methods relied on single generative networks, but…

Computer Vision and Pattern Recognition · Computer Science 2025-01-10 Shuliang Ning , Yipeng Qin , Xiaoguang Han

Virtual try-on (VTON) has recently achieved impressive visual fidelity, but most existing systems require uploading personal photos to cloud-based GPUs, raising privacy concerns and limiting on-device deployment. To address this, we present…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Zhenchen Wan , Ce Chen , Runqi Lin , Jiaxin Huang , Tianxi Chen , Yanwu Xu , Tongliang Liu , Mingming Gong

The idea of \textit{Virtual Try-ON} (VTON) benefits e-retailing by giving an user the convenience of trying a clothing at the comfort of their home. In general, most of the existing VTON methods produce inconsistent results when a person…

Computer Vision and Pattern Recognition · Computer Science 2024-01-09 Debapriya Roy , Sanchayan Santra , Diganta Mukherjee , Bhabatosh Chanda
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