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This paper presents a new technique for the virtual reality (VR) visu-alization of complex volume images obtained from computer tomography (CT) and Magnetic Resonance Imaging (MRI) by combining three-dimensional (3D) mesh processing and…

Multimedia · Computer Science 2023-05-02 Iva Vasic , Roberto Pierdicca , Emanuele Frontoni , Bata Vasic

Hybrid mixed-reality (XR) internet-of-things (IoT) research, here called XRI, aims at a strong integration between physical and virtual objects, environments, and agents wherein IoT-enabled edge devices are deployed for sensing, context…

Human-Computer Interaction · Computer Science 2023-06-05 Jie Guan , Alexis Morris

Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-commerce applications such as virtual try-on or fit…

Computer Vision and Pattern Recognition · Computer Science 2014-11-20 Qiaosong Wang , Vignesh Jagadeesh , Bryan Ressler , Robinson Piramuthu

We have created a dataset of more than ten thousand 3D scans of real objects. To create the dataset, we recruited 70 operators, equipped them with consumer-grade mobile 3D scanning setups, and paid them to scan objects in their…

Computer Vision and Pattern Recognition · Computer Science 2016-05-06 Sungjoon Choi , Qian-Yi Zhou , Stephen Miller , Vladlen Koltun

The realism of digital avatars is crucial in enabling telepresence applications with self-expression and customization. While physical simulations can produce realistic motions for clothed humans, they require high-quality garment assets…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Yifei Li , Hsiao-yu Chen , Egor Larionov , Nikolaos Sarafianos , Wojciech Matusik , Tuur Stuyck

Synthesizing high-fidelity head avatars is a central problem for computer vision and graphics. While head avatar synthesis algorithms have advanced rapidly, the best ones still face great obstacles in real-world scenarios. One of the vital…

Computer Vision and Pattern Recognition · Computer Science 2023-05-24 Dongwei Pan , Long Zhuo , Jingtan Piao , Huiwen Luo , Wei Cheng , Yuxin Wang , Siming Fan , Shengqi Liu , Lei Yang , Bo Dai , Ziwei Liu , Chen Change Loy , Chen Qian , Wayne Wu , Dahua Lin , Kwan-Yee Lin

We propose VLOGGER, a method for audio-driven human video generation from a single input image of a person, which builds on the success of recent generative diffusion models. Our method consists of 1) a stochastic human-to-3d-motion…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Enric Corona , Andrei Zanfir , Eduard Gabriel Bazavan , Nikos Kolotouros , Thiemo Alldieck , Cristian Sminchisescu

Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to reconstruct clothed humans. We introduce PhysAvatar, a novel…

We present AvatarPopUp, a method for fast, high quality 3D human avatar generation from different input modalities, such as images and text prompts and with control over the generated pose and shape. The common theme is the use of…

Computer Vision and Pattern Recognition · Computer Science 2024-07-15 Nikos Kolotouros , Thiemo Alldieck , Enric Corona , Eduard Gabriel Bazavan , Cristian Sminchisescu

Human video generation task has gained significant attention with the advancement of deep generative models. Generating realistic videos with human movements is challenging in nature, due to the intricacies of human body topology and…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Zhangsihao Yang , Mengyi Shan , Mohammad Farazi , Wenhui Zhu , Yanxi Chen , Xuanzhao Dong , Yalin Wang

We propose 3DBooSTeR, a novel method to recover a textured 3D body mesh from a textured partial 3D scan. With the advent of virtual and augmented reality, there is a demand for creating realistic and high-fidelity digital 3D human…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Alexandre Saint , Anis Kacem , Kseniya Cherenkova , Djamila Aouada

We present Better Together, a method that simultaneously solves the human pose estimation problem while reconstructing a photorealistic 3D human avatar from multi-view videos. While prior art usually solves these problems separately, we…

Computer Vision and Pattern Recognition · Computer Science 2025-03-13 Arthur Moreau , Mohammed Brahimi , Richard Shaw , Athanasios Papaioannou , Thomas Tanay , Zhensong Zhang , Eduardo Pérez-Pellitero

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step…

Computer Vision and Pattern Recognition · Computer Science 2017-04-25 Shu Zhang , Hui Yu , Ting Wang , Junyu Dong , Honghai Liu

Generating high-fidelity upper-body 3D avatars from one-shot input image remains a significant challenge. Current 3D avatar generation methods, which rely on large reconstruction models, are fast and capable of producing stable body…

Computer Vision and Pattern Recognition · Computer Science 2025-12-10 Fan Yang , Heyuan Li , Peihao Li , Weihao Yuan , Lingteng Qiu , Chaoyue Song , Cheng Chen , Yisheng He , Shifeng Zhang , Xiaoguang Han , Steven Hoi , Guosheng Lin

Photorealistic and controllable human avatars have gained popularity in the research community thanks to rapid advances in neural rendering, providing fast and realistic synthesis tools. However, a limitation of current solutions is the…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Mohamed Ilyes Lakhal , Richard Bowden

In this paper, we propose a novel approach to reconstruct 3D human body shapes based on a sparse set of RGBD frames using a single RGBD camera. We specifically focus on the realistic settings where human subjects move freely during the…

Computer Vision and Pattern Recognition · Computer Science 2020-06-16 Xinxin Zuo , Sen Wang , Jiangbin Zheng , Weiwei Yu , Minglun Gong , Ruigang Yang , Li Cheng

High-quality 3D human body reconstruction requires high-fidelity and large-scale training data and appropriate network design that effectively exploits the high-resolution input images. To tackle these problems, we propose a simple yet…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Sang-Hun Han , Min-Gyu Park , Ju Hong Yoon , Ju-Mi Kang , Young-Jae Park , Hae-Gon Jeon

In this paper, we work to bring telepresence to every desktop. Unlike commercial systems, personal 3D video conferencing systems must render high-quality videos while remaining financially and computationally viable for the average…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Shengze Wang , Ziheng Wang , Ryan Schmelzle , Liujie Zheng , YoungJoong Kwon , Soumyadip Sengupta , Henry Fuchs

The Metaverse through VR headsets is a rapidly growing concept, but the high cost of entry currently limits access for many users. This project aims to provide an accessible entry point to the immersive Metaverse experience by leveraging…

Human-Computer Interaction · Computer Science 2023-04-05 Joseph Chang

We present a novel, zero-shot pipeline for creating hyperrealistic, identity-preserving 3D avatars from a few unstructured phone images. Existing methods face several challenges: single-view approaches suffer from geometric inconsistencies…