English
Related papers

Related papers: GaussianAvatar-Editor: Photorealistic Animatable G…

200 papers

With the rising interest from the community in digital avatars coupled with the importance of expressions and gestures in communication, modeling natural avatar behavior remains an important challenge across many industries such as…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Kefan Chen , Sergiu Oprea , Justin Theiss , Sreyas Mohan , Srinath Sridhar , Aayush Prakash

Reconstructing a high-quality, animatable 3D human avatar with expressive facial and hand motions from a single image has gained significant attention due to its broad application potential. 3D human avatar reconstruction typically requires…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Dongbin Zhang , Yunfei Liu , Lijian Lin , Ye Zhu , Yang Li , Minghan Qin , Yu Li , Haoqian Wang

Building 3D animatable head avatars from a single image is an important yet challenging problem. Existing methods generally collapse under large camera pose variations, compromising the realism of 3D avatars. In this work, we propose a new…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Shuling Zhao , Dan Xu

Creating high-fidelity 3D human head avatars is crucial for applications in VR/AR, digital human, and film production. Recent advances have leveraged morphable face models to generate animated head avatars from easily accessible data,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Yuelang Xu , Zhaoqi Su , Qingyao Wu , Yebin Liu

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

The ability to animate photo-realistic head avatars reconstructed from monocular portrait video sequences represents a crucial step in bridging the gap between the virtual and real worlds. Recent advancements in head avatar techniques,…

Computer Vision and Pattern Recognition · Computer Science 2023-12-08 Yufan Chen , Lizhen Wang , Qijing Li , Hongjiang Xiao , Shengping Zhang , Hongxun Yao , Yebin Liu

Photorealistic avatars have become essential for immersive applications in virtual reality (VR) and augmented reality (AR), enabling lifelike interactions in areas such as training simulations, telemedicine, and virtual collaboration. These…

Graphics · Computer Science 2025-04-18 Rendong Zhang , Alexandra Watkins , Nilanjan Sarkar

This work addresses the problem of real-time rendering of photorealistic human body avatars learned from multi-view videos. While the classical approaches to model and render virtual humans generally use a textured mesh, recent research has…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Arthur Moreau , Jifei Song , Helisa Dhamo , Richard Shaw , Yiren Zhou , Eduardo Pérez-Pellitero

Generating animatable human avatars from a single image is essential for various digital human modeling applications. Existing 3D reconstruction methods often struggle to capture fine details in animatable models, while generative…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Lingteng Qiu , Shenhao Zhu , Qi Zuo , Xiaodong Gu , Yuan Dong , Junfei Zhang , Chao Xu , Zhe Li , Weihao Yuan , Liefeng Bo , Guanying Chen , Zilong Dong

Gaussian Splatting has changed the game for real-time photo-realistic rendering. One of the most popular applications of Gaussian Splatting is to create animatable avatars, known as Gaussian Avatars. Recent works have pushed the boundaries…

Radiance field-based methods have recently been used to reconstruct human avatars, showing that we can significantly downscale the systems needed for creating animated human avatars. Although this progress has been initiated by neural…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Nikolaos Zioulis , Nikolaos Kotarelas , Georgios Albanis , Spyridon Thermos , Anargyros Chatzitofis

We introduce GaussianSpeech, a novel approach that synthesizes high-fidelity animation sequences of photo-realistic, personalized 3D human head avatars from spoken audio. To capture the expressive, detailed nature of human heads, including…

Computer Vision and Pattern Recognition · Computer Science 2024-12-02 Shivangi Aneja , Artem Sevastopolsky , Tobias Kirschstein , Justus Thies , Angela Dai , Matthias Nießner

Recent studies have combined 3D Gaussian and 3D Morphable Models (3DMM) to construct high-quality 3D head avatars. In this line of research, existing methods either fail to capture the dynamic textures or incur significant overhead in terms…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Yating Wang , Xuan Wang , Ran Yi , Yanbo Fan , Jichen Hu , Jingcheng Zhu , Lizhuang Ma

Constructing drivable and photorealistic 3D head avatars has become a central task in AR/XR, enabling immersive and expressive user experiences. With the emergence of high-fidelity and efficient representations such as 3D Gaussians, recent…

Graphics · Computer Science 2025-12-25 Jaeseong Lee , Junyeong Ahn , Taewoong Kang , Jaegul Choo

Recent advances in 3D Gaussian Splatting (3DGS) have enabled fast, photorealistic rendering of dynamic 3D scenes, showing strong potential in immersive communication. However, in digital human encoding and transmission, the compression…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Haocheng Tang , Ruoke Yan , Xinhui Yin , Qi Zhang , Xinfeng Zhang , Siwei Ma , Wen Gao , Chuanmin Jia

3D Gaussian Splatting (3DGS) provides an efficient method for high-quality scene reconstruction using anisotropic Gaussians. Recently, 3DGS-based methods have significantly improved the rendering quality of human avatars while enabling…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Hongzhe Liao , Chuhua Xian , Hongmin Cai , Haiyang Liu , Fa-Ting Hong

Creating relightable and animatable avatars from multi-view or monocular videos is a challenging task for digital human creation and virtual reality applications. Previous methods rely on neural radiance fields or ray tracing, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2025-05-21 Youyi Zhan , Tianjia Shao , He Wang , Yin Yang , Kun Zhou

Nuanced expressiveness, particularly through fine-grained hand and facial expressions, is pivotal for enhancing the realism and vitality of digital human representations. In this work, we focus on investigating the expressiveness of human…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Hezhen Hu , Zhiwen Fan , Tianhao Wu , Yihan Xi , Seoyoung Lee , Georgios Pavlakos , Zhangyang Wang

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…

This paper presents a Surface-Aligned Gaussian representation for creating animatable human avatars from monocular videos,aiming at improving the novel view and pose synthesis performance while ensuring fast training and real-time…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Ronghan Chen , Yang Cong , Jiayue Liu