CRCVLGMay 25, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

arXiv:2306.04642v455 citationsHas Code
Originality Incremental advance
AI Analysis

This addresses copyright protection for artists and creators against unauthorized replication by GDMs, representing an incremental improvement over traditional watermarking methods.

The authors tackled copyright infringement by Generative Diffusion Models (GDMs) by introducing DiffusionShield, a watermarking scheme that encodes ownership information into images, which is then reproduced in GDM-generated images, enabling detection with evidence.

Recently, Generative Diffusion Models (GDMs) have showcased their remarkable capabilities in learning and generating images. A large community of GDMs has naturally emerged, further promoting the diversified applications of GDMs in various fields. However, this unrestricted proliferation has raised serious concerns about copyright protection. For example, artists including painters and photographers are becoming increasingly concerned that GDMs could effortlessly replicate their unique creative works without authorization. In response to these challenges, we introduce a novel watermarking scheme, DiffusionShield, tailored for GDMs. DiffusionShield protects images from copyright infringement by GDMs through encoding the ownership information into an imperceptible watermark and injecting it into the images. Its watermark can be easily learned by GDMs and will be reproduced in their generated images. By detecting the watermark from generated images, copyright infringement can be exposed with evidence. Benefiting from the uniformity of the watermarks and the joint optimization method, DiffusionShield ensures low distortion of the original image, high watermark detection performance, and the ability to embed lengthy messages. We conduct rigorous and comprehensive experiments to show the effectiveness of DiffusionShield in defending against infringement by GDMs and its superiority over traditional watermarking methods. The code for DiffusionShield is accessible in https://github.com/Yingqiancui/DiffusionShield.

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