A Review of Research on 3D Face Reconstruction Methods
Zhang Bin, Yong Li, Xiaoming Li, Liu Dan, Li Zi-Hao, Sun Xinmin · 2024
This article reviews and studies the learning methods for 3D facial reconstruction in recent years. Specifically, the article provides a detailed introduction to the 3D facial reconstruction method based on the 3D Deformable Model (3DMM) and the 3D facial reconstruction technology based on deep learning. In addition, the article also explores the challenging issues faced by these methods and the required datasets for related research. Through this research, the aim of this article is to provide a reference for relevant researchers to understand the problem of 3D facial reconstruction and related research directions, in order to further investigate and explore this field.