生成式人工智能在视频处理领域的应用综述

Artificial intelligence generated content has become a key research focus in recent years, particularly in the field of video processing. With the emergence of new technologies such as Sora,a new wave of research enthusiasm has been sparked. This paper introduces the development and applications of artificial intelligence generated content in video processing and discusses future research directions and challenges. There are three parts in this paper. Firstly, it introduces the early foundational models of artificial intelligence generated content in the field of video processing, including generative adversarial networks, variational autoencoders, diffusion models and other models, summarizing the models that have made significant innovations or achieved excellent results in video generation tasks. Secondly, it compares the advantages and disadvantages of new video generation models before and after the introduction of Sora in 2023 - 2024 from three dimensions: basic properties, video generation quality and human subjective perspective. Finally, based on data analysis, this paper outlines the future development directions and challenges in the field of video generation,offering valuable insights for researchers in related fields and promoting the widespread adoption of generative artificial intelligence in video processing.