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Related papers: Two-Way Garment Transfer: Unified Diffusion Framew…

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Per-garment virtual try-on methods collect garment-specific datasets and train networks tailored to each garment to achieve superior results. However, these approaches often struggle with loose-fitting garments due to two key limitations:…

Graphics · Computer Science 2025-09-05 Zaiqiang Wu , I-Chao Shen , Takeo Igarashi

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

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

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

Garment restoration, the inverse of virtual try-on task, focuses on restoring standard garment from a person image, requiring accurate capture of garment details. However, existing methods often fail to preserve the identity of the garment…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Le Shen , Rong Huang , Zhijie 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

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

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. Yet, as most try-on approaches fit in-shop garments onto a target person, they require the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Zhenyu Xie , Zaiyu Huang , Fuwei Zhao , Haoye Dong , Michael Kampffmeyer , Xiaodan Liang

We present M&M VTO, a mix and match virtual try-on method that takes as input multiple garment images, text description for garment layout and an image of a person. An example input includes: an image of a shirt, an image of a pair of…

Computer Vision and Pattern Recognition · Computer Science 2024-06-10 Luyang Zhu , Yingwei Li , Nan Liu , Hao Peng , Dawei Yang , Ira Kemelmacher-Shlizerman

Image-based virtual try-on aims to fit an in-shop garment into a clothed person image. To achieve this, a key step is garment warping which spatially aligns the target garment with the corresponding body parts in the person image. Prior…

Computer Vision and Pattern Recognition · Computer Science 2022-04-05 Sen He , Yi-Zhe Song , Tao Xiang

Video virtual try-on aims to replace the clothing of a person in a video with a target garment. Current dual-branch architectures have achieved significant success in diffusion models based on the U-Net; however, adapting them to diffusion…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Yanjie Pan , Qingdong He , Lidong Wang , Bo Peng , Mingmin Chi

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

Recent advances in large models have significantly advanced image-to-3D reconstruction. However, the generated models are often fused into a single piece, limiting their applicability in downstream tasks. This paper focuses on 3D garment…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Xuan Li , Chang Yu , Wenxin Du , Ying Jiang , Tianyi Xie , Yunuo Chen , Yin Yang , Chenfanfu Jiang

We present BootComp, a novel framework based on text-to-image diffusion models for controllable human image generation with multiple reference garments. Here, the main bottleneck is data acquisition for training: collecting a large-scale…

Computer Vision and Pattern Recognition · Computer Science 2025-04-02 Yisol Choi , Sangkyung Kwak , Sihyun Yu , Hyungwon Choi , Jinwoo Shin

This paper introduces Multi-Garment Customized Model Generation, a unified framework based on Latent Diffusion Models (LDMs) aimed at addressing the unexplored task of synthesizing images with free combinations of multiple pieces of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Yichen Liu , Penghui Du , Yi Liu Quanwei Zhang

Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite significant progress in human body recovery, accurately…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Yingxuan You , Ren Li , Corentin Dumery , Cong Cao , Hao Li , Pascal Fua

Video virtual try-on aims to generate realistic sequences that maintain garment identity and adapt to a person's pose and body shape in source videos. Traditional image-based methods, relying on warping and blending, struggle with complex…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Zijian He , Peixin Chen , Guangrun Wang , Guanbin Li , Philip H. S. Torr , Liang Lin

Garment sewing pattern represents the intrinsic rest shape of a garment, and is the core for many applications like fashion design, virtual try-on, and digital avatars. In this work, we explore the challenging problem of recovering garment…

Computer Vision and Pattern Recognition · Computer Science 2023-11-08 Lijuan Liu , Xiangyu Xu , Zhijie Lin , Jiabin Liang , Shuicheng Yan

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

3D virtual try-on enjoys many potential applications and hence has attracted wide attention. However, it remains a challenging task that has not been adequately solved. Existing 2D virtual try-on methods cannot be directly extended to 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Xiaojing Zhong , Yukun Su , Zhonghua Wu , Guosheng Lin , Qingyao Wu