arpitbansal297/Cold-Diffusion-Models

Official implementation of Cold-Diffusion for different transformations in pytorch.

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Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise The official PyTorch implementation of Cold-Diffusion. Developed collaboratively by Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, and Hamid Kazemi, all at the University of Maryland. This repository has code to train and test various cold diffusion models based on the following image degradations: Gaussian blur, animorphosis, Gaussian mask, resolution downsampling, image snow, and color desaturation. Our implementation is based...
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