Comments (2)
Just noticed the option use_same_D
. Did that produce good results for you?
from bicyclegan.
Really wondering this too, the paper claims results were slightly better with two separate discriminators. However, because of #93 I am actually still unsure if the implementation for use_same_D is correct. If I understand #93 correctly, the discriminator when using use_same_D only receives half the updates, which makes me think this is where the findings that two separate discriminators are better came from. Anyone who could please provide some clarification on both this issue and #93? Thanks a lot!
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Related Issues (20)
- Why does not large batch size like 128, 256 work well?
- Hi, please help me.
- Very Large Images
- Why my LPIPS distance is larger than what your paper say? HOT 3
- Question about conditional_D implementation HOT 3
- Not clear in the difference between the two latent spaces predicted HOT 5
- Test on single images HOT 1
- Compute graph wrong and one question HOT 4
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- Metric reporting HOT 1
- Question about Encoder in cLR-GAN HOT 1
- Question about generating fake_B_random
- Incorrect discriminator update for opt.use_same_D HOT 1
- Regarding Training your Own Images HOT 4
- How to train on large images?
- Is there <pix2pix+noise> model code that can be directly run? HOT 1
- diversity question
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