CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
Published in CVPR 2024, 2024
In this paper, we crafted a visualizable copyright authentication mechanism by modeling and analyzing the conceptual difference between fine-tuned and pretrained diffusion models theoretically. This work has been packaged into an open-source project called** ** Revelio :
Revelio: Digital Copyright Authentication for Diffusion Models Mar. 2024 — Present
Homepage :https://github.com/Nicholas0228/Revelio
Recommended citation: Wu X, Hua Y, Liang C, et al. (2024). "CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion." CVPR 2024.
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