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Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space
April 2, 2024, 7:46 p.m. | Zheling Meng, Bo Peng, Jing Dong
cs.CV updates on arXiv.org arxiv.org
Abstract: Watermarking is a tool for actively identifying and attributing the images generated by latent diffusion models. Existing methods face the dilemma of watermark robustness and image quality. The reason for this dilemma is that watermark detection is performed in pixel space, implying an intrinsic link between image quality and watermark robustness. In this paper, we highlight that an effective solution to the problem is to both inject and detect watermarks in latent space, and propose …
abstract arxiv cs.cv detection diffusion diffusion models face generated image images intrinsic latent diffusion models pixel quality reason robustness space tool type watermark watermarking watermarks
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