So I am trying to super resolve an image, that is use images of size (64,64,32)  and (128,128,64) for a network to learn to increase the resolution from (64,64,32) to (128,128,64)… I saw my network was over fitting and when I debugged I noticed that the issue with the patch volume mismatch. I am trying to use a patch size of 32 cuboid for low resolution image and 64 cuboid for the high resolution image (which is the target value/label/what the network is learning). So I am unable to map the patch(32 cuboid) from low resolution image with the patch (64 cuboid) in the high resolution image. I have tried to illustrate this with a 2D normal image, but conceptually this is how I aim to provide to 3D MRI data to the network for training
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