【摘要】 生成式人工智能是近年来的重点研究方向，尤其是视频处理领域。Sora等新技术的问世，掀起了新一轮的生成式人工智能研究热潮。介绍了生成式人工智能在视频处理领域的发展及应用，并讨论了未来值得研究的方向及面临的挑战。具体包括3个部分：首先，回顾了生成式人工智能在视频处理领域早期的重要基础模型，包括生成式对抗网络、变分自动编码器、扩散模型等结构，并总结了在视频生成任务中做出重大创新或效果优异的模型；然后，从基本属性、视频生成质量、人类主观视角3个维度对比了2023-2024年Sora出现前后视频生成新模型的优劣；最后，基于对数据的分析，提出了未来视频生成领域的发展方向及挑战，为相关领域研究者提供参考，推动生成式人工智能在视频处理领域的广泛应用。更多还原

【Abstract】 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.更多还原