Reproduce “Blind Image Restoration via Fast Diffusion Inversion” on OpenResearch

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About this paper

Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro

BIRD addresses blind image restoration by jointly optimizing the starting noise of a fixed deterministic DDIM generator and unknown degradation parameters. It generates candidate clean images and matches their degraded versions to observations. On ImageNet 4× super-resolution, it reports PSNR 22.15 and LPIPS 0.354, versus BlindDPS’s 21.36 and 0.374, but BlindDPS leads on Gaussian deblurring; BIRD assumes the degradation form is known.

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