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Related papers: Mobile-VTON: High-Fidelity On-Device Virtual Try-O…

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Virtual try-on attracts increasing research attention as a promising way for enhancing the user experience for online cloth shopping. Though existing methods can generate impressive results, users need to provide a well-designed reference…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Anran Lin , Nanxuan Zhao , Shuliang Ning , Yuda Qiu , Baoyuan Wang , Xiaoguang Han

Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and computer vision communities. Prior methods successfully preserve…

Computer Vision and Pattern Recognition · Computer Science 2023-01-04 Zhijing Yang , Junyang Chen , Yukai Shi , Hao Li , Tianshui Chen , Liang Lin

Image-based virtual try-on aims to transfer target in-shop clothing to a dressed model image, the objectives of which are totally taking off original clothing while preserving the contents outside of the try-on area, naturally wearing…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Dan Song , Xuanpu Zhang , Jianhao Zeng , Pengxin Zhan , Qingguo Chen , Weihua Luo , An-An Liu

Augmented reality applications have rapidly spread across online platforms, allowing consumers to virtually try-on a variety of products, such as makeup, hair dying, or shoes. However, parametrizing a renderer to synthesize realistic images…

Computer Vision and Pattern Recognition · Computer Science 2022-05-16 Robin Kips , Ruowei Jiang , Sileye Ba , Brendan Duke , Matthieu Perrot , Pietro Gori , Isabelle Bloch

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

Due to the scarcity of large-scale in-the-wild triplet data and the improper use of masks, the performance of video virtual try-on models remains limited. In this paper, we first introduce **TripVVT-10K**, the largest and most diverse…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Dingbao Shao , Song Wu , Shenyi Wang , Ye Wang , Ziheng Tang , Fei Liu , Jiang Lin , Xinyu Chen , Qian Wang , Ying Tai , Jian Yang , Zili Yi

Augmented reality is revolutionizing beauty industry with virtual try-on (VTO) applications, which empowers users to try a wide variety of products using their phones without the hassle of physically putting on real products. A critical…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Hui Pang , Sunil Hadap , Violetta Shevchenko , Rahul Suresh , Amin Banitalebi-Dehkordi

Virtual try-off (VTOFF) aims to recover canonical flat-garment representations from images of dressed persons for standardized display and downstream virtual try-on. Prior methods often treat VTOFF as direct image translation driven by…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Shuang Liu , Ao Yu , Linkang Cheng , Xiwen Huang , Li Zhao , Junhui Liu , Zhiting Lin , Yu Liu

The 2D virtual try-on task has recently attracted a lot of interest from the research community, for its direct potential applications in online shopping as well as for its inherent and non-addressed scientific challenges. This task…

Computer Vision and Pattern Recognition · Computer Science 2019-06-12 Thibaut Issenhuth , Jérémie Mary , Clément Calauzènes

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 advances in diffusion transformers (DiTs) have set new standards in image generation, yet remain impractical for on-device deployment due to their high computational and memory costs. In this work, we present an efficient DiT…

Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification models built upon the powerful StyleGAN have been proposed,…

Computer Vision and Pattern Recognition · Computer Science 2022-10-03 Shuai Yang , Liming Jiang , Ziwei Liu , Chen Change Loy

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

Achieving fine-grained controllability in human image synthesis is a long-standing challenge in computer vision. Existing methods primarily focus on either facial synthesis or near-frontal body generation, with limited ability to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Zhengwentai Sun , Chenghong Li , Hongjie Liao , Xihe Yang , Keru Zheng , Heyuan Li , Yihao Zhi , Shuliang Ning , Shuguang Cui , Xiaoguang Han

Image-based virtual try-on aims to fit an in-shop garment onto a clothed person image. Garment warping, which aligns the target garment with the corresponding body parts in the person image, is a crucial step in achieving this goal.…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Sanhita Pathak , Vinay Kaushik , Brejesh Lall

Existing methods for Virtual Try-On (VTON) often struggle to preserve fine garment details, especially in unpaired settings where accurate person-garment correspondence is required. These methods do not explicitly enforce person-garment…

Computer Vision and Pattern Recognition · Computer Science 2026-02-20 Jiyoung Kim , Youngjin Shin , Siyoon Jin , Dahyun Chung , Jisu Nam , Tongmin Kim , Jongjae Park , Hyeonwoo Kang , Seungryong Kim

This paper proposes a novel garment transfer method supervised with knowledge distillation from virtual try-on. Our method first reasons the transfer parsing to provide shape prior to downstream tasks. We employ a multi-phase teaching…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Naiyu Fang , Lemiao Qiu , Shuyou Zhang , Zili Wang , Kerui Hu , Jianrong Tan

Online clothing shopping has become increasingly popular, but the high rate of returns due to size and fit issues has remained a major challenge. To address this problem, virtual try-on systems have been developed to provide customers with…

Computer Vision and Pattern Recognition · Computer Science 2023-06-27 Yunmin Cho , Lala Shakti Swarup Ray , Kundan Sai Prabhu Thota , Sungho Suh , Paul Lukowicz

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

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