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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

We propose VASA-3D, an audio-driven, single-shot 3D head avatar generator. This research tackles two major challenges: capturing the subtle expression details present in real human faces, and reconstructing an intricate 3D head avatar from…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Sicheng Xu , Guojun Chen , Jiaolong Yang , Yizhong Zhang , Yu Deng , Steve Lin , Baining Guo

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

Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield poor 3D reconstructions. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-09 Ding-Jiun Huang , Yuanhao Wang , Shao-Ji Yuan , Albert Mosella-Montoro , Francisco Vicente Carrasco , Cheng Zhang , Fernando De la Torre

We present a method that reconstructs and animates a 3D head avatar from a single-view portrait image. Existing methods either involve time-consuming optimization for a specific person with multiple images, or they struggle to synthesize…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Xueting Li , Shalini De Mello , Sifei Liu , Koki Nagano , Umar Iqbal , Jan Kautz

Controllability, generalizability and efficiency are the major objectives of constructing face avatars represented by neural implicit field. However, existing methods have not managed to accommodate the three requirements simultaneously.…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Zhiyuan Ma , Xiangyu Zhu , Guojun Qi , Zhen Lei , Lei Zhang

The generation of high-quality, animatable 3D head avatars from text has enormous potential in content creation applications such as games, movies, and embodied virtual assistants. Current text-to-3D generation methods typically combine…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Yiqian Wu , Malte Prinzler , Xiaogang Jin , Siyu Tang

We propose TextToon, a method to generate a drivable toonified avatar. Given a short monocular video sequence and a written instruction about the avatar style, our model can generate a high-fidelity toonified avatar that can be driven in…

Computer Vision and Pattern Recognition · Computer Science 2024-10-10 Luchuan Song , Lele Chen , Celong Liu , Pinxin Liu , Chenliang Xu

Recent advancements in diffusion models have significantly improved the realism and generalizability of character-driven animation, enabling the synthesis of high-quality motion from just a single RGB image and a set of driving poses.…

Computer Vision and Pattern Recognition · Computer Science 2025-12-02 Alireza Javanmardi , Pragati Jaiswal , Tewodros Amberbir Habtegebrial , Christen Millerdurai , Shaoxiang Wang , Alain Pagani , Didier Stricker

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

Animatable 3D human reconstruction from a single image is a challenging problem due to the ambiguity in decoupling geometry, appearance, and deformation. Recent advances in 3D human reconstruction mainly focus on static human modeling, and…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Lingteng Qiu , Xiaodong Gu , Peihao Li , Qi Zuo , Weichao Shen , Junfei Zhang , Kejie Qiu , Weihao Yuan , Guanying Chen , Zilong Dong , Liefeng Bo

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

We introduce TADA, a simple-yet-effective approach that takes textual descriptions and produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be animated and rendered with traditional graphics pipelines.…

Artificial Intelligence · Computer Science 2023-08-22 Tingting Liao , Hongwei Yi , Yuliang Xiu , Jiaxaing Tang , Yangyi Huang , Justus Thies , Michael J. Black

With the booming of virtual reality (VR) technology, there is a growing need for customized 3D avatars. However, traditional methods for 3D avatar modeling are either time-consuming or fail to retain similarity to the person being modeled.…

Computer Vision and Pattern Recognition · Computer Science 2023-07-06 Chuanyu Pan , Guowei Yang , Taijiang Mu , Yu-Kun Lai

The ability to generate diverse 3D articulated head avatars is vital to a plethora of applications, including augmented reality, cinematography, and education. Recent work on text-guided 3D object generation has shown great promise in…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Alexander W. Bergman , Wang Yifan , Gordon Wetzstein

In the field of digital content creation, generating high-quality 3D characters from single images is challenging, especially given the complexities of various body poses and the issues of self-occlusion and pose ambiguity. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2024-07-11 Hao-Yang Peng , Jia-Peng Zhang , Meng-Hao Guo , Yan-Pei Cao , Shi-Min Hu

Talking head generation is to generate video based on a given source identity and target motion. However, current methods face several challenges that limit the quality and controllability of the generated videos. First, the generated face…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Yue Gao , Yuan Zhou , Jinglu Wang , Xiao Li , Xiang Ming , Yan Lu

Animating various character drawings is an engaging visual content creation task. Given a single character drawing, existing animation methods are limited to flat 2D motions and thus lack 3D effects. An alternative solution is to…

Graphics · Computer Science 2024-09-16 Jie Zhou , Chufeng Xiao , Miu-Ling Lam , Hongbo Fu

We propose a method for synthesizing photo-realistic digital avatars from only one portrait as the reference. Given a portrait, our method synthesizes a coarse talking head video using driving keypoints features. And with the coarse video,…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Shaoxu Li

Motion transfer of talking-head videos involves generating a new video with the appearance of a subject video and the motion pattern of a driving video. Current methodologies primarily depend on a limited number of subject images and 2D…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Haomiao Ni , Jiachen Liu , Yuan Xue , Sharon X. Huang
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