Neighbor2Neighbor_Pytorch
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This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"
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Can you show me your data structure?I have read your source code, and the label ground Truth is needed in the training process. Excuse me how to achieve self-supervision?
Have you trained this framework? Do the results match with the reported results in the paper?