Would it be possible to choose Upsample and Downsample strategies? about mimicry HOT 2 OPEN

@kwotsin Thank you for your reply. I hadn't checked that repository. Thank you for sharing.

Reading the original BigGAN paper again (arxiv), I found that the following diagram was provided and that a combination of Pooling and Conv was employed.

I also explored nvidia's repository on SPADE and found that it uses a combination of Pooling and Conv for ResBlock as well (e.g. https://github.com/NVlabs/SPADE/blob/master/models/networks/discriminator.py#L46).

The official implementation of Tensorflow that I have shown as a reference may have been a bit of a special implementation.

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@KeisukeShimokawa This is an interesting suggestion: indeed, I'm also not sure what the performance difference between the two is. I did a deeper check and it seems like the TensorFlow version for BigGAN also uses a combination of Pool + Conv: https://github.com/google/compare_gan/blob/master/compare_gan/architectures/resnet_ops.py#L131
Perhaps this resblock structure is unique to BigGAN rather than the version from Miyato et al, but I might be wrong. Nonetheless, I think this is a very good point (and detail) to note and will certainly keep your suggestion in mind!

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