StyleGAN2-Tensorflow-2.0
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Choice of loss function
In the styleGAN 2 paper they state using a "non-saturating logistic loss", is there any particular reason you opted for hinge loss in this implementation?
For reference I believe the original loss functions for config-f are G_logistic_ns_pathreg
for the generator and D_logistic_r1
for the discriminator (https://github.com/NVlabs/stylegan2/blob/master/training/loss.py).