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What is: Noise2Fast?

SourceNoise2Fast: Fast Self-Supervised Single Image Blind Denoising
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Noise2Fast is a model for single image blind denoising. It is similar to masking based methods -- filling in the pixel gaps -- in that the network is blind to many of the input pixels during training. The method is inspired by Neighbor2Neighbor, where the neural network learns a mapping between adjacent pixels. Noise2Fast is tuned to speed by using a discrete four image training set obtained by a form of downsampling called “checkerboard downsampling.