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Invert2Restore: Zero-Shot Degradation-Blind Image Restoration
Hamadi Chihaoui, Paolo Favaro
Two of the main challenges of image restoration in real-world scenarios are the accurate characterization of an image prior and the precise modeling of the image degradation operat…
Unsupervised Real-World Denoising: Sparsity is All You Need
Hamadi Chihaoui, Paolo Favaro
Supervised training for real-world denoising presents challenges due to the difficulty of collecting large datasets of paired noisy and clean images. Recent methods have attempted…
Blind Image Restoration via Fast Diffusion Inversion
Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
Image Restoration (IR) methods based on a pre-trained diffusion model have demonstrated state-of-the-art performance. However, they have two fundamental limitations: 1) they often…
Masked and Shuffled Blind Spot Denoising for Real-World Images
Hamadi Chihaoui, Paolo Favaro
We introduce a novel approach to single image denoising based on the Blind Spot Denoising principle, which we call MAsked and SHuffled Blind Spot Denoising (MASH). We focus on the…