P‐2.12: A Comprehensive Study of Content Generation Using Diffusion Model

Abstract

The essence of the Metaverse is the process of integrating a large number of existing technologies to virtualize and digitize the real world. With the development of artificial intelligence technology, a large number of digital native content in the Metaverse needs to be completed by artificial intelligence. The current artificial intelligence technology allows computers to automatically and efficiently generate text, pictures, audio, video, and even 3D models. With the further development of natural language processing technology and generative network models, future artificial intelligence generation will subvert the existing content generation methods and gradually become an accelerator for the development of the Metaverse. In this paper, we have analyzed and studied the basic principles of diffusion models, clarified some existing problems of diffusion models, considered the key areas of concern and potential areas to be further explored, and looked forward to the future application of diffusion models in the field of Metaverse.