@inproceedings{
yu2024gaussiantalker,
title={GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting},
author={Hongyun Yu and Zhan Qu and Qihang Yu and Jianchuan Chen and Zhonghua Jiang and Zhiwen Chen and Shengyu Zhang and Jimin Xu and Fei Wu and chengfei lv and Gang Yu},
booktitle={ACM Multimedia 2024},
year={2024},
url={https://openreview.net/forum?id=m2Ilu6XyV8}
}
Recent works on audio-driven talking head synthesis using Neural Radiance Fields (NeRF) have achieved impressive results. However, due to inadequate pose and expression control caused by NeRF implicit representation, these methods still have some limitations, such as unsynchronized or unnatural lip movements, and visual jitter and artifacts. In this paper, we propose GaussianTalker, a novel method for audio-driven talking head synthesis based on 3D Gaussian Splatting. With the explicit representation property of 3D Gaussians, intuitive control of the facial motion is achieved by binding Gaussians to 3D facial models. GaussianTalker consists of two modules, Speaker-specific Motion Translator and Dynamic Gaussian Renderer. Speaker-specific Motion Translator achieves accurate lip movements specific to the target speaker through universalized audio feature extraction and customized lip motion generation. Dynamic Gaussian Renderer introduces Speaker-specific BlendShapes to enhance facial detail representation via a latent pose, delivering stable and realistic rendered videos. Extensive experimental results suggest that GaussianTalker outperforms existing state-of-the-art methods in talking head synthesis, delivering precise lip synchronization and exceptional visual quality. Our method achieves rendering speeds of 130 FPS on NVIDIA RTX4090 GPU, significantly exceeding the threshold for real-time rendering performance, and can potentially be deployed on other hardware platforms.
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting
Hongyun Yu Zhan Qu Qihang Yu Jianchuan Chen Zhonghua Jiang Zhiwen Chen Shengyu Zhang Jimin Xu Fei Wu chengfei lv Gang Yu