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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) 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

The fast growth of E-Commerce creates a global market worth USD 821 billion for online fashion shopping. What unique about fashion presentation is that, the same design can usually be offered with different cloths textures. However, only…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Youyi Zhan , Tuanfeng Y. Wang , Tianjia Shao , Kun Zhou

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…

We present FashionEngine, an interactive 3D human generation and editing system that creates 3D digital humans via user-friendly multimodal controls such as natural languages, visual perceptions, and hand-drawing sketches. FashionEngine…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Tao Hu , Fangzhou Hong , Zhaoxi Chen , Ziwei Liu

Nowadays, the wide application of virtual digital human promotes the comprehensive prosperity and development of digital culture supported by digital economy. The personalized portrait automatically generated by AI technology needs both the…

Computer Vision and Pattern Recognition · Computer Science 2023-03-02 Runchuan Zhu , Naye Ji , Youbing Zhao , Fan Zhang

Image editing has been a long-standing challenge in the research community with its far-reaching impact on numerous applications. Recently, text-driven methods started to deliver promising results in domains like human faces, but their…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Chaerin Kong , Seungyong Lee , Soohyeok Im , Wonsuk Yang

Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style image and a 3D mesh with its text description. Although…

Computer Vision and Pattern Recognition · Computer Science 2024-11-04 Zhiyu Xie , Yuqing Zhang , Xiangjun Tang , Yiqian Wu , Dehan Chen , Gongsheng Li , Xaogang Jin

The rapid expansion of online fashion platforms has created an increasing demand for intelligent recommender systems capable of understanding both visual and textual cues. This paper proposes a hybrid multimodal deep learning framework for…

Information Retrieval · Computer Science 2025-11-20 Kamand Kalashi , Babak Teimourpour

In this thesis a rendering system and an accompanying tool chain for Virtual Texturing is presented. Our tools allow to automatically retexture existing geometry in order to apply unique texturing on each face. Furthermore we investigate…

Graphics · Computer Science 2010-05-19 Andreas Neu

While bodies change over time and trends vary, most store-bought clothing comes in fixed sizes and styles and fails to adapt to these changes. Alterations can enable small changes to otherwise static garments, but these changes often…

Human-Computer Interaction · Computer Science 2025-10-15 Rebecca Lin , Michal Lukáč , Mackenzie Leake

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 naturally fit a garment to a target person in consecutive video frames. It is a challenging task, on the one hand, the output video should be in good spatial-temporal consistency, on the other hand, the details…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Cheng Zou , Senlin Cheng , Bolei Xu , Dandan Zheng , Xiaobo Li , Jingdong Chen , Ming Yang

Video virtual try-on technology provides a cost-effective solution for creating marketing videos in fashion e-commerce. However, its practical adoption is hindered by two critical limitations. First, the reliance on a single garment image…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Jianhao Zeng , Yancheng Bai , Ruidong Chen , Xuanpu Zhang , Lei Sun , Dongyang Jin , Ryan Xu , Nannan Zhang , Dan Song , Xiangxiang Chu

Existing multi-modal image fusion methods fail to address the compound degradations presented in source images, resulting in fusion images plagued by noise, color bias, improper exposure, \textit{etc}. Additionally, these methods often…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Hao Zhang , Lei Cao , Jiayi Ma

Image-based virtual try-on (VTON) aims to generate a virtual try-on result by transferring an input garment onto a target person's image. However, the scarcity of paired garment-model data makes it challenging for existing methods to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-27 Hailong Guo , Bohan Zeng , Yiren Song , Wentao Zhang , Chuang Zhang , Jiaming Liu

Recently, the multimedia community has witnessed the rise of diffusion models trained on large-scale multi-modal data for visual content creation, particularly in the field of text-to-image generation. In this paper, we propose a new task…

Computer Vision and Pattern Recognition · Computer Science 2023-11-10 Jingwen Chen , Yingwei Pan , Ting Yao , Tao Mei

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

Existing approaches for 3D garment reconstruction either assume a predefined template for the garment geometry (restricting them to fixed clothing styles) or yield vertex colored meshes (lacking high-frequency textural details). Our novel…

Computer Vision and Pattern Recognition · Computer Science 2022-08-30 Astitva Srivastava , Chandradeep Pokhariya , Sai Sagar Jinka , Avinash Sharma

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
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