The input data dimension of super-resolution model

[leeh2213]

Thanks for sharing this interesting and great work! I have a question about the input dimension of the super-resolution model. In your paper, the input data dim is 646464(low-resolution volume). If mine is 128128128(low-resolution volume), what hyperparams should I change in the train_super_res.py? I look forward to your reply.