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Related papers: iTryOn: Mastering Interactive Video Virtual Try-On…

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Virtual try-on has made significant progress in recent years. This paper addresses how to achieve multifunctional virtual try-on guided solely by text instructions, including full outfit change and local editing. Previous methods primarily…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Yujie Hu , Xuanyu Zhang , Weiqi Li , Jian Zhang

Virtual try-on, a rapidly evolving field in computer vision, is transforming e-commerce by improving customer experiences through precise garment warping and seamless integration onto the human body. While existing methods such as TPS and…

Computer Vision and Pattern Recognition · Computer Science 2024-06-05 Sanhita Pathak , Vinay Kaushik , Brejesh Lall

Image-based Virtual Try-On (VITON) aims to transfer an in-shop garment image onto a target person. While existing methods focus on warping the garment to fit the body pose, they often overlook the synthesis quality around the garment-skin…

Computer Vision and Pattern Recognition · Computer Science 2023-12-07 xujie zhang , Xiu Li , Michael Kampffmeyer , Xin Dong , Zhenyu Xie , Feida Zhu , Haoye Dong , Xiaodan Liang

Existing image-based virtual try-on methods directly transfer specific clothing to a human image without utilizing clothing attributes to refine the transferred clothing geometry and textures, which causes incomplete and blurred clothing…

Computer Vision and Pattern Recognition · Computer Science 2025-03-18 Xiaoyu Han , Shengping Zhang , Qinglin Liu , Zonglin Li , Chenyang Wang

Virtual Try-on (VTON) involves generating images of a person wearing selected garments. Diffusion-based methods, in particular, can create high-quality images, but they struggle to maintain the identities of the input garments. We…

Computer Vision and Pattern Recognition · Computer Science 2024-03-22 Jeffrey Zhang , Kedan Li , Shao-Yu Chang , David Forsyth

The Diffusion model has a strong ability to generate wild images. However, the model can just generate inaccurate images with the guidance of text, which makes it very challenging to directly apply the text-guided generative model for…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Shufang Zhang , Minxue Ni , Lei Wang , Wenxin Ding , Shuai Chen , Yuhong Liu

Virtual Try-On technology has garnered significant attention for its potential to transform the online fashion retail experience by allowing users to visualize how garments would look on them without physical trials. While recent advances…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Minh Tran , Johnmark Clements , Annie Prasanna , Tri Nguyen , Ngan Le

Diffusion models have shown preliminary success in virtual try-on (VTON) task. The typical dual-branch architecture comprises two UNets for implicit garment deformation and synthesized image generation respectively, and has emerged as the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-23 Siqi Wan , Jingwen Chen , Yingwei Pan , Ting Yao , Tao Mei

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

Deep learning based virtual try-on system has achieved some encouraging progress recently, but there still remain several big challenges that need to be solved, such as trying on arbitrary clothes of all types, trying on the clothes from…

Computer Vision and Pattern Recognition · Computer Science 2021-11-25 Yu Liu , Mingbo Zhao , Zhao Zhang , Haijun Zhang , Shuicheng Yan

Virtual Try-On (VTON) is the task of synthesizing an image of a person wearing a target garment, conditioned on a person image and a garment image. While diffusion-based VTON models featuring a Dual UNet architecture demonstrate superior…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Kihyun Na , Jinyoung Choi , Injung Kim

Virtual try-on has garnered interest as a neural rendering benchmark task to evaluate complex object transfer and scene composition. Recent works in virtual clothing try-on feature a plethora of possible architectural and data…

Computer Vision and Pattern Recognition · Computer Science 2021-01-14 Gaurav Kuppa , Andrew Jong , Vera Liu , Ziwei Liu , Teng-Sheng Moh

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

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

Image-based virtual try-on systems for fitting new in-shop clothes into a person image have attracted increasing research attention, yet is still challenging. A desirable pipeline should not only transform the target clothes into the most…

Computer Vision and Pattern Recognition · Computer Science 2018-09-13 Bochao Wang , Huabin Zheng , Xiaodan Liang , Yimin Chen , Liang Lin , Meng Yang

Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diverse scenarios. These methods often struggle with issues such…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Boyuan Jiang , Xiaobin Hu , Donghao Luo , Qingdong He , Chengming Xu , Jinlong Peng , Jiangning Zhang , Chengjie Wang , Yunsheng Wu , Yanwei Fu

The rapid growth of e-commerce has intensified the demand for Virtual Try-On (VTO) technologies, enabling customers to realistically visualize products overlaid on their own images. Despite recent advances, existing VTO models face…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Qi Li , Shuwen Qiu , Julien Han , Xingzi Xu , Mehmet Saygin Seyfioglu , Kee Kiat Koo , Karim Bouyarmane

VTON (Virtual Try-ON) aims at synthesizing the target clothing on a certain person, preserving the details of the target clothing while keeping the rest of the person unchanged. Existing methods suffer from the discrepancies between the…

Computer Vision and Pattern Recognition · Computer Science 2025-12-09 Shengjie Lu , Zhibin Wan , Jiejie Liu , Quan Zhang , Mingjie Sun

Virtual Try-on (VTON) has become a core capability for online retail, where realistic try-on results provide reliable fit guidance, reduce returns, and benefit both consumers and merchants. Diffusion-based VTON methods achieve…

Computer Vision and Pattern Recognition · Computer Science 2026-03-13 Haohua Chen , Tianze Zhou , Wei Zhu , Runqi Wang , Yandong Guan , Dejia Song , Yibo Chen , Xu Tang , Yao Hu , Lu Sheng , Zhiyong Wu

The increasing prominence of e-commerce has underscored the importance of Virtual Try-On (VTON). However, previous studies predominantly focus on the 2D realm and rely heavily on extensive data for training. Research on 3D VTON primarily…

Computer Vision and Pattern Recognition · Computer Science 2024-05-24 Haodong Chen , Yongle Huang , Haojian Huang , Xiangsheng Ge , Dian Shao
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