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I would like to ask you some question related to the project:
Your code implemented "Glow: Generative Flow with Invertible 1×1 Convolutions" , Have you evaluate the performance of generator with different architectures: Glow and RealNVP? I did not find the use case of Glow in the project.
I tried to apply cycleflow to the mri brain image with single channel input (gray image). However, the model looks collapse or failure to learning the mapping between domain A and B. The details between regions in the syn. image become blurring, while the cycleGAN still works well. Any suggestion to fix it? Thanks in advance
The text was updated successfully, but these errors were encountered:
Thanks for your nice work. To run the code, I suggest to correct some typos as bellows:
And comment the line
alignflow/evaluation/__init__.py
Line 1 in 718bca1
I would like to ask you some question related to the project:
alignflow/models/cycle_flow/cycle_flow.py
Line 31 in 718bca1
The text was updated successfully, but these errors were encountered: