Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
Recovering images from blur depends on a point-spread function, stable frequency-domain utilities, and careful regularization. deconvolution provides known-PSF restoration, blind workflows, PSF/OTF ...
Abstract: As a fundamental task in image processing, blind image restoration (BIR) faces significant challenges due to the unknown nature of the degradation process. While transformer-based methods ...
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