MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
MarkDiffusion: An Open-Source Toolkit for Generative Watermarking of Latent Diffusion Models
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.
23 pages, 13 figures, 5 tables
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Multimedia, Cryptography and Security, Artificial Intelligence, I.2.7, 68T50, Cryptography and Security (cs.CR), Multimedia (cs.MM)
FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Multimedia, Cryptography and Security, Artificial Intelligence, I.2.7, 68T50, Cryptography and Security (cs.CR), Multimedia (cs.MM)
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