Research on automatic generation and style migration technology of animation scenes driven by artificial intelligence

With the rapid development of artificial intelligence technology, animation production is gradually moving towards automation and intelligence. Traditional animation scene generation and style design often face the problems of high cost and low efficiency, while deep learning-based generative adversarial network (GAN) and style migration algorithms provide new solutions for animation production. This paper investigates the application and optimization of automatic scene generation technology in intelligent systems, which offers great potential for game development, interior design and animation production by automating the generation of realistic 3D scenes. The core technology of automatic animation scene generation is discussed, including the application and optimization of the generation model; the specific implementation process and application examples of style migration technology in animation scenes are investigated, and the key technology and effect of multi-style fusion are analyzed; an integrated animation scene generation and style migration system framework is designed, and its potential applications in the fields of games, film and television, and virtual reality are envisioned. Artificial intelligence-driven animation scene generation and style migration technology can significantly improve animation production efficiency, reduce costs, and promote animation design diversity and innovation.