D3GA is a driveable 3D human model based on Gaussian point clouds. It can learn to generate realistic 3D human models from multi-view videos. The model uses 3D Gaussian point cloud technology for real-time rendering and drives model deformation through joint angles and key points. Compared to other methods, D3GA can generate higher quality results under the same training and testing data. It is suitable for applications requiring real-time rendering and control of 3D human bodies.