Faster AI Image Restoration With Covariance-Aware Posterior Sampling
New method for AI image restoration: Covariance-Aware Posterior Sampling cuts processing time in half while boosting quality, achieving state-of-the-art results on denoising & inpainting tasks.
This is a Plain English Papers summary of a research paper called Faster, Smarter AI Image Restoration: New Method Cuts Processing Time in Half While Boosting Quality. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview • Introduces a new method for using diffusion models in inverse problems called Covariance-Aware Posterior Sampling • Improves accuracy and computation speed when reconstructing images from incomplete or noisy data • Achieves state-of-the-art results on image restoration tasks like denoising and inpainting • Combines sta...