EmoTalk3D is a research project focused on 3D virtual head synthesis that addresses issues of viewpoint consistency and inadequate emotional expression in traditional 3D head synthesis. By collecting multi-view videos, emotional annotations, and 3D geometries for each frame, this project proposes a novel approach to achieving controllable emotional synthesis of 3D heads through training on the EmoTalk3D dataset. It enhances lip synchronization and rendering quality, enabling the generation of 3D animations with a wide range of viewpoints and high rendering quality while capturing dynamic facial details, such as wrinkles and subtle expressions.