Automatic Generation and Design of 3D Animation Based on Deep Learning Technology

Abstract

With the rapid development of information technology and modernization, 3D animation automatic generation design has new opportunities and challenges with the help of high-tech. Based on CAD and deep learning technology, this paper studies the process of 3D animation automatic generation and design. Firstly, the development status of CAD and deep learning technology is described. The CAD model is used to deal with the detail level in 3D animation, and the initial parameter model is integrated with the CAD geometric modelling. Through feature-matching error control, the automatic generation system is constructed. A deep learning algorithm was used to recognize and generate a 3D animation character's posture and facial expression. Finally, based on the deep learning algorithm, the data training and learning system is built to improve the 3D animation generation effect and speed. The results show that the automatic 3D animation generation system based on CAD and deep learning technology can complete many functions, such as automatic parameter adjustment and character generation and recognition. In the scene construction and animation, effect rendering has a good effect.