Comments (2)
Instance norm does not work well, since it removes the global feature mean and variance that capture the style information.
Batch norm is the same since we use batch size = 1.
The paper had been submitted before group normalization came out. So we haven't try it.
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I have some question...
If you look at configs, there is no information about animal translation.
When will you upload it?
Is it ok to just run as hyper-parameter like edge2shoes?
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Related Issues (20)
- How to implement MUNIT with K Fold Cross Validation?
- Question about Multi-GPU training on single machine HOT 4
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