Intelligent generation of 3D face animation based on deep learning
Year: 2025
Type: conference-paper
Abstract: In order to automatically generate 3D face animation with high realism and expression richness, an innovative method is proposed in this paper. In this paper, the deep learning model is used to train a large number of face data, and the model can learn the geometric features, texture information and expression change rules of the face, so as to generate natural and smooth three-dimensional face animation. The experimental results show that the 3D face animation generated by this method is highly similar to the real face visually, and the expression changes naturally and delicate. Compared with traditional methods, the method proposed in this paper has a significant improvement in both generation efficiency and animation quality.
Source: Procedia Computer Science
Authors: Yanxia Li, Nana Li
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411175484