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RAIN Model Extracts Semantic Watermarks in One Step
Researchers propose RAIN, a region-aware inversion network that recovers the initial noise used to embed semantic watermarks in diffusion models. The method aims to avoid the multi-step diffusion inversion that current Gaussian-Shading extraction typically requires, while leaving image quality largely intact. It is described in a cross-listed arXiv paper.