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Thanks for sharing your code. I have found that the hyper-parameter 'num_latent_scales' on ImageNet 32x32 and CIFAR-10 has been set to be 1, which is quite smaller than that of 5 on FFHQ and CelebA HQ dataset. What will happen if we set this number as 5 on ImageNet 32x32 dataset ? Thanks~
The text was updated successfully, but these errors were encountered:
The number of latent scales represents the number of latent scales in the latent space. For CIFAR-10, we have only one scale at 16x16 dimensions. We didn't see improvements in terms of log-likelihood for using multi-scale latent space.
Thanks for sharing your code. I have found that the hyper-parameter 'num_latent_scales' on ImageNet 32x32 and CIFAR-10 has been set to be 1, which is quite smaller than that of 5 on FFHQ and CelebA HQ dataset. What will happen if we set this number as 5 on ImageNet 32x32 dataset ? Thanks~
The text was updated successfully, but these errors were encountered: