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It is best to have a 64 X 64 pertained model. If not, you can upsampling the 64x64 images into 256x256, then use DDNM for restoration, and then downsampling back to 64x64.
There is a way to apply this method on Tiny-ImageNet (64 X 64)?
there is an existing model for that, or a new training is necessary?
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