progressive-growing-of-gans.pytorch
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RahulBhalley
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
Thanks a lot for sharing! Didn't try it yet, but will soon :) Notice that what you refer to as "latent space interpolation" (and the animated gif) are not really...
The code base does not support resuming training … and it doesn't save the model state in such a way that one could resume. The code saves the state_dict data...
I'm attempting to figure out which bits of the code attempt to spawn new processes since this fails on Windows 10 pytorch. I had to modify pcgan in a similar...
Using pytorch v 1.0.1, I was initially getting this error: RuntimeError: binary_op(): expected both inputs to be on same device, but input a is on cuda:1 and input b is...
The code doesn't work in Pytorch v0.4.0 (latest stable release): ```Python Exception KeyError: KeyError(,) in
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ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods