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Related papers: X-Avatar: Expressive Human Avatars

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Animating an avatar that reflects a user's action in the VR world enables natural interactions with the virtual environment. It has the potential to allow remote users to communicate and collaborate in a way as if they met in person.…

Graphics · Computer Science 2022-09-14 Yongjing Ye , Libin Liu , Lei Hu , Shihong Xia

Creating a controllable and relightable digital avatar from multi-view video with fixed illumination is a very challenging problem since humans are highly articulated, creating pose-dependent appearance effects, and skin as well as clothing…

Computer Vision and Pattern Recognition · Computer Science 2024-07-29 Diogo Luvizon , Vladislav Golyanik , Adam Kortylewski , Marc Habermann , Christian Theobalt

Photo-real digital human avatars are of enormous importance in graphics, as they enable immersive communication over the globe, improve gaming and entertainment experiences, and can be particularly beneficial for AR and VR settings.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Marc Habermann , Lingjie Liu , Weipeng Xu , Gerard Pons-Moll , Michael Zollhoefer , Christian Theobalt

We present X-Actor, a novel audio-driven portrait animation framework that generates lifelike, emotionally expressive talking head videos from a single reference image and an input audio clip. Unlike prior methods that emphasize lip…

Computer Vision and Pattern Recognition · Computer Science 2025-08-06 Chenxu Zhang , Zenan Li , Hongyi Xu , You Xie , Xiaochen Zhao , Tianpei Gu , Guoxian Song , Xin Chen , Chao Liang , Jianwen Jiang , Linjie Luo

We present HAHA - a novel approach for animatable human avatar generation from monocular input videos. The proposed method relies on learning the trade-off between the use of Gaussian splatting and a textured mesh for efficient and high…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 David Svitov , Pietro Morerio , Lourdes Agapito , Alessio Del Bue

Head avatars animated by visual signals have gained popularity, particularly in cross-driving synthesis where the driver differs from the animated character, a challenging but highly practical approach. The recently presented MegaPortraits…

Computer Vision and Pattern Recognition · Computer Science 2024-05-01 Nikita Drobyshev , Antoni Bigata Casademunt , Konstantinos Vougioukas , Zoe Landgraf , Stavros Petridis , Maja Pantic

Hair plays a significant role in personal identity and appearance, making it an essential component of high-quality, photorealistic avatars. Existing approaches either focus on modeling the facial region only or rely on personalized models,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-15 Ziyan Wang , Giljoo Nam , Aljaz Bozic , Chen Cao , Jason Saragih , Michael Zollhoefer , Jessica Hodgins

The emergence of neural rendering has significantly advanced the rendering quality of 3D human avatars, with the recently popular 3DGS technique enabling real-time performance. However, SMPL-driven 3DGS human avatars still struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Wangze Xu , Yifan Zhan , Zhihang Zhong , Xiao Sun

We present SCANimate, an end-to-end trainable framework that takes raw 3D scans of a clothed human and turns them into an animatable avatar. These avatars are driven by pose parameters and have realistic clothing that moves and deforms…

Computer Vision and Pattern Recognition · Computer Science 2021-04-09 Shunsuke Saito , Jinlong Yang , Qianli Ma , Michael J. Black

Although neural rendering has made significant advances in creating lifelike, animatable full-body and head avatars, incorporating detailed expressions into full-body avatars remains largely unexplored. We present DEGAS, the first 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-02-11 Zhijing Shao , Duotun Wang , Qing-Yao Tian , Yao-Dong Yang , Hengyu Meng , Zeyu Cai , Bo Dong , Yu Zhang , Kang Zhang , Zeyu Wang

Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge for scalability. This paper introduces a novel approach to…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Zhixuan Yu , Ziqian Bai , Abhimitra Meka , Feitong Tan , Qiangeng Xu , Rohit Pandey , Sean Fanello , Hyun Soo Park , Yinda Zhang

It is now possible to reconstruct dynamic human motion and shape from a sparse set of cameras using Neural Radiance Fields (NeRF) driven by an underlying skeleton. However, a challenge remains to model the deformation of cloth and skin in…

Computer Vision and Pattern Recognition · Computer Science 2023-10-02 Chunjin Song , Bastian Wandt , Helge Rhodin

3D human avatar animation aims at transforming a human avatar from an arbitrary initial pose to a specified target pose using deformation algorithms. Existing approaches typically divide this task into two stages: canonical template…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Jian Shu , Nanjie Yao , Gangjian Zhang , Junlong Ren , Yu Feng , Hao Wang

Modern avatar generators allow anyone to synthesize photorealistic real-time talking avatars, ushering in a new era of avatar-based human communication, such as with immersive AR/VR interactions or videoconferencing with limited bandwidths.…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Ekta Prashnani , Koki Nagano , Shalini De Mello , David Luebke , Orazio Gallo

To address the ill-posed problem caused by partial observations in monocular human volumetric capture, we present AvatarCap, a novel framework that introduces animatable avatars into the capture pipeline for high-fidelity reconstruction in…

Computer Vision and Pattern Recognition · Computer Science 2022-07-13 Zhe Li , Zerong Zheng , Hongwen Zhang , Chaonan Ji , Yebin Liu

Robotic avatars promise immersive teleoperation with human-like manipulation and communication capabilities. We present such an avatar system, based on the key components of immersive 3D visualization and transparent force-feedback…

Robotics · Computer Science 2021-09-29 Max Schwarz , Christian Lenz , Andre Rochow , Michael Schreiber , Sven Behnke

To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is difficult for existing methods to satisfy all the requirements…

Computer Vision and Pattern Recognition · Computer Science 2023-04-11 Sijing Wu , Yichao Yan , Yunhao Li , Yuhao Cheng , Wenhan Zhu , Ke Gao , Xiaobo Li , Guangtao Zhai

We present a novel method for high detail-preserving human avatar creation from monocular video. A parameterized body model is refined and optimized to maximally resemble subjects from a video showing them from all sides. Our avatars…

Computer Vision and Pattern Recognition · Computer Science 2018-08-07 Thiemo Alldieck , Marcus Magnor , Weipeng Xu , Christian Theobalt , Gerard Pons-Moll

Generating high-fidelity real-time animated sequences of photorealistic 3D head avatars is important for many graphics applications, including immersive telepresence and movies. This is a challenging problem particularly when rendering…

Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their real counterparts. The core technical challenge is two fold:…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Jianchun Chen , Jian Wang , Yinda Zhang , Rohit Pandey , Thabo Beeler , Marc Habermann , Christian Theobalt
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