Diffusion models have become a powerful family of deep generative models, with record-breaking performance in many applications. This paper first gives an overview and derivation of the basic theory of diffusion models, then reviews the research results of diffusion models in the field of natural language processing, from text generation, text-driven image generation and other four aspects, and analyzes and summarizes the relevant literature materials sorted out, and finally records the experience and feelings of this topic literature review research.

翻译：扩散模型已成为一类强大的深度生成模型，在许多应用中取得了突破性性能。本文首先概述并推导了扩散模型的基本理论，随后从文本生成、文本驱动图像生成等四个方面综述了扩散模型在自然语言处理领域的研究成果，并对整理的相关文献资料进行了分析与总结，最后记录了本课题文献综述研究的经验与体会。