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Recent advances in image generation and editing have opened new opportunities for virtual try-on. However, existing methods still struggle to meet complex real-world demands. We present Tstars-Tryon 1.0, a commercial-scale virtual try-on…

Image-based virtual try-on aims to fit a target garment to a specific person image and has attracted extensive research attention because of its huge application potential in the e-commerce and fashion industries. To generate high-quality…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Ben Li , Minqi Li , Jie Ren , Kaibing Zhang

Image outpainting, which is well studied with Convolution Neural Network (CNN) based framework, has recently drawn more attention in computer vision. However, CNNs rely on inherent inductive biases to achieve effective sample learning,…

Computer Vision and Pattern Recognition · Computer Science 2022-07-13 Kai Yao , Penglei Gao , Xi Yang , Kaizhu Huang , Jie Sun , Rui Zhang

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

We present Fashion-VDM, a video diffusion model (VDM) for generating virtual try-on videos. Given an input garment image and person video, our method aims to generate a high-quality try-on video of the person wearing the given garment,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Johanna Karras , Yingwei Li , Nan Liu , Luyang Zhu , Innfarn Yoo , Andreas Lugmayr , Chris Lee , Ira Kemelmacher-Shlizerman

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

Video inpainting tasks have seen significant improvements in recent years with the rise of deep neural networks and, in particular, vision transformers. Although these models show promising reconstruction quality and temporal consistency,…

Computer Vision and Pattern Recognition · Computer Science 2024-03-26 Guillaume Thiry , Hao Tang , Radu Timofte , Luc Van Gool

Virtual try-on (VTON) technology has gained attention due to its potential to transform online retail by enabling realistic clothing visualization of images and videos. However, most existing methods struggle to achieve high-quality results…

Computer Vision and Pattern Recognition · Computer Science 2025-01-22 Zheng Chong , Wenqing Zhang , Shiyue Zhang , Jun Zheng , Xiao Dong , Haoxiang Li , Yiling Wu , Dongmei Jiang , Xiaodan Liang

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

Multi-pose virtual try-on (MPVTON) aims to fit a target garment onto a person at a target pose. Compared to traditional virtual try-on (VTON) that fits the garment but keeps the pose unchanged, MPVTON provides a better try-on experience,…

Computer Vision and Pattern Recognition · Computer Science 2022-11-22 Sen He , Yi-Zhe Song , Tao Xiang

Video virtual try-on aims to transfer a clothing item onto the video of a target person. Directly applying the technique of image-based try-on to the video domain in a frame-wise manner will cause temporal-inconsistent outcomes while…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Zixun Fang , Wei Zhai , Aimin Su , Hongliang Song , Kai Zhu , Mao Wang , Yu Chen , Zhiheng Liu , Yang Cao , Zheng-Jun Zha

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

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-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

One of the most intriguing features of the Visual Question Answering (VQA) challenge is the unpredictability of the questions. Extracting the information required to answer them demands a variety of image operations from detection and…

Computer Vision and Pattern Recognition · Computer Science 2016-12-19 Peng Wang , Qi Wu , Chunhua Shen , Anton van den Hengel

Virtual try-on (VITON) aims to generate realistic images of a person wearing a target garment, requiring precise garment alignment in try-on regions and faithful preservation of identity and background in non-try-on regions. While latent…

Computer Vision and Pattern Recognition · Computer Science 2026-04-15 Junseo Park , Hyeryung Jang

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

This paper examines the limitations of advanced text-to-image models in accurately rendering unconventional concepts which are scarcely represented or absent in their training datasets. We identify how these limitations not only confine the…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Jiyoon Myung , Jihyeon Park

Video try-on stands as a promising area for its tremendous real-world potential. Previous research on video try-on has primarily focused on transferring product clothing images to videos with simple human poses, while performing poorly with…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Jun Zheng , Jing Wang , Fuwei Zhao , Xujie Zhang , Xiaodan Liang

In this paper, we target image-based person-to-person virtual try-on in the presence of diverse poses and large viewpoint variations. Existing methods are restricted in this setting as they estimate garment warping flows mainly based on 2D…

Computer Vision and Pattern Recognition · Computer Science 2022-11-28 Zaiyu Huang , Hanhui Li , Zhenyu Xie , Michael Kampffmeyer , Qingling Cai , Xiaodan Liang