[D] Is this what WGAN-GP's progression is supposed to look like?

• improved_wgan_training

  2 2,336 0.0 Python

  Code for reproducing experiments in "Improved Training of Wasserstein GANs"

In addition to the generator output layer differences already pointed out, there are likely other architectural differences. WGAN-GP has a fairly easy-to-use official codebase. I recommend running your dataset through it and verifying whether your implementation gets similar FIDs to it.

• stylegan2-pytorch

  1,989 3,646 2.7 Python

  Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Not quite, SG2 removed progressive growing from SG1 due to "phase artefacts", see Section 4 of the paper. There are a few PyTorch reimplementations [here and here] of SG2 that may be compatible with 30-series. If not, SG1 works pretty great for faces as well, good luck. :)

• InfluxDB

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