yikedi
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yikedi
The paper states that WGAN-GP increases the training stability so I am curious what other loss and normalization techniques you have tried. I am trying to add spectral normalization suggested...
I can only generate random samples of arbitrary size with gen_start_scale=0. I would get runtime error if I use gen_start_scale bigger than 0. 