Three-Dimensional Animation Generation and Optimization Algorithm Based on Artificial Intelligence

This paper aims to explore the 3D animation generation technology based on AI (Artificial Intelligence) to improve the efficiency and quality of animation production. This paper expounds the extensive application of 3D animation in many fields and the potential and challenges of AI technology in it, and makes clear the importance and practical application value of the research. In terms of methods, this paper designs an algorithm model of 3D animation generation based on AI. Through DL (Deep Learning) framework, feature extraction and sequence learning are carried out on a large number of animation data by using CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) structures, and the idea of GAN (Generative Adversarial Networks) is introduced for confrontation training. The design and implementation of the experiment strictly follow scientific principles, ensuring the controllability and repeatability of the experiment. The experimental results show that the algorithm model in this paper can generate natural, smooth, realistic and delicate 3D animation, and it shows a high level in character movements, expression changes and scene rendering. Compared with other 3D animation production methods, this algorithm model significantly improves the production efficiency.