Extracting a watermark latent from a target image and injecting it into a pre-trained regeneration model forges watermarks onto arbitrary cover images without optimization, but only reliably for Gaussian Shading on UNet-based targets.
Advancements in generative ai: A comprehensive review of gans, gpt, autoencoders, diffusion model, and transformers.IEEE Access, 12:69812–69837, 2024
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Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models
Extracting a watermark latent from a target image and injecting it into a pre-trained regeneration model forges watermarks onto arbitrary cover images without optimization, but only reliably for Gaussian Shading on UNet-based targets.