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:传播模型已成为由深层基因模型组成的强大大家庭,在许多应用中表现破纪录,本文件首先概述并引出了传播模型的基本理论,然后审查自然语言处理领域传播模型的研究成果,从文本生成、文本驱动图像生成和其他四个方面,分析和总结整理的有关文献材料,最后记录了本专题文献审查研究的经验和感受。</s>