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Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Official PyTorch implementation of pre-print Unsupervised Discovery of Interpretable Directions in the GAN Latent Space https://arxiv.org/abs/2002.03754 by Andrey Voynov and Artem Babenko.

This code explores interpretable latent space directions of a pretrained GAN.

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Here are several examples for Spectal Norm GAN (MNIST & Anime Faces), ProgGAN (CelebA-HQ) and BigGAN (ILSVRC):

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How to run?

Coming soon

Pretrained models

Coming soon

Credits

BigGAN code is based on the authors implementation: https://github.com/ajbrock/BigGAN-PyTorch

ProgGAN code is based on: https://github.com/ptrblck/prog_gans_pytorch_inference

U-net segmentation model code is based on: https://github.com/milesial/Pytorch-UNet

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