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Recently, implicit neural representation has been widely used to generate animatable human avatars. However, the materials and geometry of those representations are coupled in the neural network and hard to edit, which hinders their…

Computer Vision and Pattern Recognition · Computer Science 2024-05-21 Qifeng Chen , Rengan Xie , Kai Huang , Qi Wang , Wenting Zheng , Rong Li , Yuchi Huo

Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approaches address this challenge with computationally efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Kartik Teotia , Hyeongwoo Kim , Pablo Garrido , Marc Habermann , Mohamed Elgharib , Christian Theobalt

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…

DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person, offering intuitive control over both pose and expression. We propose a diffusion-based neural renderer that leverages generic 2D priors to produce compelling images of…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Tobias Kirschstein , Simon Giebenhain , Matthias Nießner

Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars. However, due to the diversity of frameworks, there is no practical method to support high-level applications like 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-04-03 Chong Bao , Yinda Zhang , Yuan Li , Xiyu Zhang , Bangbang Yang , Hujun Bao , Marc Pollefeys , Guofeng Zhang , Zhaopeng Cui

Building realistic and animatable avatars still requires minutes of multi-view or monocular self-rotating videos, and most methods lack precise control over gestures and expressions. To push this boundary, we address the challenge of…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Jun Xiang , Yudong Guo , Leipeng Hu , Boyang Guo , Yancheng Yuan , Juyong Zhang

Reconstructing realistic 3D human avatars from monocular videos is a challenging task due to the limited geometric information and complex non-rigid motion involved. We present MonoCloth, a new method for reconstructing and animating…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Daisheng Jin , Ying He

Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-language and image diffusion models. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2023-08-30 Xiao Han , Yukang Cao , Kai Han , Xiatian Zhu , Jiankang Deng , Yi-Zhe Song , Tao Xiang , Kwan-Yee K. Wong

Undoubtedly, high-fidelity 3D hair is crucial for achieving realism, artistic expression, and immersion in computer graphics. While existing 3D hair modeling methods have achieved impressive performance, the challenge of achieving…

Computer Vision and Pattern Recognition · Computer Science 2024-03-28 Keyu Wu , Lingchen Yang , Zhiyi Kuang , Yao Feng , Xutao Han , Yuefan Shen , Hongbo Fu , Kun Zhou , Youyi Zheng

Photorealistic 3D head avatars are vital for telepresence, gaming, and VR. However, most methods focus solely on facial regions, ignoring natural hand-face interactions, such as a hand resting on the chin or fingers gently touching the…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Haonan He , Yufeng Zheng , Jie Song

We introduce a novel framework for modeling high-fidelity, animatable 3D human avatars from motion-blurred monocular video inputs. Motion blur is prevalent in real-world dynamic video capture, especially due to human movements in 3D human…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Xianrui Luo , Juewen Peng , Zhongang Cai , Lei Yang , Fan Yang , Zhiguo Cao , Guosheng Lin

Recent years have witnessed considerable achievements in facial avatar reconstruction with neural volume rendering. Despite notable advancements, the reconstruction of complex and dynamic head movements from monocular videos still suffers…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Luchuan Song , Pinxin Liu , Lele Chen , Guojun Yin , Chenliang Xu

Avatar modelling has broad applications in human animation and virtual try-ons. Recent advancements in this field have focused on high-quality and comprehensive human reconstruction but often overlook the separation of clothing from the…

Computer Vision and Pattern Recognition · Computer Science 2024-11-18 Jingxuan Chen

In this paper, we present a novel method that facilitates the creation of vivid 3D Gaussian avatars from monocular video inputs (GVA). Our innovation lies in addressing the intricate challenges of delivering high-fidelity human body…

Computer Vision and Pattern Recognition · Computer Science 2024-03-20 Xinqi Liu , Chenming Wu , Jialun Liu , Xing Liu , Jinbo Wu , Chen Zhao , Haocheng Feng , Errui Ding , Jingdong Wang

In this work, we advance the neural head avatar technology to the megapixel resolution while focusing on the particularly challenging task of cross-driving synthesis, i.e., when the appearance of the driving image is substantially different…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Nikita Drobyshev , Jenya Chelishev , Taras Khakhulin , Aleksei Ivakhnenko , Victor Lempitsky , Egor Zakharov

High-fidelity digital human representations are increasingly in demand in the digital world, particularly for interactive telepresence, AR/VR, 3D graphics, and the rapidly evolving metaverse. Even though they work well in small spaces,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Zexu Huang , Sarah Monazam Erfani , Siying Lu , Mingming Gong

Realistic digital avatars require expressive and dynamic hair motion; however, most existing head avatar methods assume rigid hair movement. These methods often fail to disentangle hair from the head, representing it as a simple outer shell…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Berna Kabadayi , Vanessa Sklyarova , Wojciech Zielonka , Justus Thies , Gerard Pons-Moll

While high fidelity and efficiency are central to the creation of digital head avatars, recent methods relying on 2D or 3D generative models often experience limitations such as shape distortion, expression inaccuracy, and identity…

Computer Vision and Pattern Recognition · Computer Science 2024-05-28 Xiaochen Zhao , Jingxiang Sun , Lizhen Wang , Jinli Suo , Yebin Liu

Digital human avatars aim to simulate the dynamic appearance of humans in virtual environments, enabling immersive experiences across gaming, film, virtual reality, and more. However, the conventional process for creating and animating…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Felix Taubner , Ruihang Zhang , Mathieu Tuli , Sherwin Bahmani , David B. Lindell

In recent years, audio-driven 3D facial animation has gained significant attention, particularly in applications such as virtual reality, gaming, and video conferencing. However, accurately modeling the intricate and subtle dynamics of…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Guinan Su , Yanwu Yang , Zhifeng Li