A generative blur-kernel prior with a learned initializer improves blind motion deblurring across DIP, VDIP, and diffusion-based methods, including non-uniform cases.
Parallel diffusion models of operator and image for blind inverse problems,
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Generative Latent Kernel Modeling for Blind Motion Deblurring
A generative blur-kernel prior with a learned initializer improves blind motion deblurring across DIP, VDIP, and diffusion-based methods, including non-uniform cases.