计算机应用研究2026，Vol.43Issue(9)：2575-2588,14.DOI:10.19734/j.issn.1001-3695.2025.12.0525
面向扩散模型的图像水印方法研究综述
Survey of image watermarking methods for diffusion models
摘要
Abstract
The rapid development of diffusion models increasingly blurs the boundary between real and AI-generated images.This trend triggers critical issues regarding content authenticity,accountability,and copyright protection,and urgently de-mands reliable watermarking techniques for verification and traceability.To assist researchers,this review systematically sur-veyed watermarking methods for diffusion models.Firstly,the paper outlined the advancements of various watermarking app-roaches from the perspective of embedding stages and mechanisms and constructed a watermark classification framework tailo-red for diffusion models.Secondly,it analyzed generative watermarking mechanisms based on fine-tuning and initial noise,comparing their respective strengths and limitations.Furthermore,the study clarified the application scenarios of watermarks in intellectual property protection,AI-generated content(AIGC)traceability,and accountability,and summarized an evaluation system that covered imperceptibility,robustness,and watermark capacity.Finally,the review explored current challenges and future development directions for image watermarking in diffusion models and provides potential solutions.关键词
生成式人工智能/数字水印/扩散模型/内容溯源/版权保护/生成式水印Key words
generative artificial intelligence/digital watermarking/diffusion model/content traceability/copyright protec-tion/generative watermarking分类
信息技术与安全科学引用本文复制引用
唐晓亮,孙振..面向扩散模型的图像水印方法研究综述[J].计算机应用研究,2026,43(9):2575-2588,14.基金项目
山东省重大科技创新工程资助项目(2017CXGC0607) （2017CXGC0607）
泰山学者海外特聘专家资助项目(tshw201502042) （tshw201502042）
