开源工具包，让扩散模型生成内容可追溯。
MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
- 统一框架支持快速集成水印算法，界面友好
- 提供24种工具评估，涵盖检测性、鲁棒性与质量
- 可视化水印添加与提取过程，适合研究与公众科普
我们提出MarkDiffusion，一个用于潜在扩散模型生成内容水印的开源Python工具包。包含三大组件：统一的算法集成框架与用户友好的接口；直观展示水印添加与提取效果的可视化套件；以及涵盖24种工具的全面评估模块，覆盖检测性、鲁棒性与输出质量三个核心维度，并提供8条自动化评估流程。通过MarkDiffusion，旨在助力研究人员、提升公众对生成水印的认知与参与度，推动共识形成，促进该领域研究与应用发展。
原文摘要 · Abstract (English)
We introduce MarkDiffusion, an open-source Python toolkit for generative watermarking of latent diffusion models. It comprises three key components: a unified implementation framework for streamlined watermarking algorithm integrations and user-friendly interfaces; a mechanism visualization suite that intuitively showcases added and extracted watermark patterns to aid public understanding; and a comprehensive evaluation module offering standard implementations of 24 tools across three essential aspects - detectability, robustness, and output quality - plus 8 automated evaluation pipelines. Through MarkDiffusion, we seek to assist researchers, enhance public awareness and engagement in generative watermarking, and promote consensus while advancing research and applications.
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