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MI-GAN is a great job, thank you for open source! I would like to ask a few questions:
What are your reasons for not using a loss function like L1? Will using this pixel-by-pixel supervised loss affect the final result?
The current image resolution on the mobile devices is relatively high, and the model can only handle low-resolution images, such as 512, and the result is blurry. Is there any better solution?
The default parameter for model re-parameterization in the code is 4, but the parameter mentioned in the paper is 8. Which number is more appropriate?
Apologies for the disturbance, and I am looking forward to your response. Thank you very much!
The text was updated successfully, but these errors were encountered:
MI-GAN is a great job, thank you for open source! I would like to ask a few questions:
Apologies for the disturbance, and I am looking forward to your response. Thank you very much!
The text was updated successfully, but these errors were encountered: