计算机工程与应用2025，Vol.61Issue(20)：1-18,18.DOI:10.3778/j.issn.1002-8331.2508-0156
扩散模型生成式图像检测技术研究综述
Review of Generative Image Detection Technology Based on Diffusion
摘要
Abstract
Diffusion model is a model that realizes content generation through forward diffusion and backward denoising.It has been widely used in the fields of target detection,medical images,natural language processing and generative images.With the expansion of the application scope,characterizing the authenticity of the generated images has become a hotspot of academic research.However,the diffusion model generative image technology is used to produce false news images or pornographic images to spread rumors,etc.,and it is widely used in the gray area and even in the field of illegal crimes.In recent years,a large number of research works have been used to solve the authenticity problem of diffusion model-generated images,but the existing works lack the systematic research and combing of its generated image detection.In order to fill the above gap,the research and development of diffusion model-generated image detection technology is comprehensively analyzed.This paper outlines the overall process and related steps of ten diffusion model-generated image technologies,and studies the advantages and disadvantages of diffusion model and other image generation models.It systematically sorts out five types of diffusion model detection technologies,discusses the applications and challenges of the detection technol-ogies,and compares and analyzes the five types of detection technologies.It summarizes 22 types of diffusion model data-sets,and makes a systematic comparison.According to the limitations of the diffusion model generative image detection technology,the future development direction of the detection technology is discussed.关键词
扩散模型/生成式图像检测/深度学习Key words
diffusion model/generative image detection/deep learning分类
信息技术与安全科学引用本文复制引用
程泊宣,李明轩,张正宇..扩散模型生成式图像检测技术研究综述[J].计算机工程与应用,2025,61(20):1-18,18.基金项目
中国人民公安大学刑事科学技术双一流创新研究项目(2023SYL06). （2023SYL06）
