GAN Experiments

Various GAN experiments with Pytorch.

Contents

• WGAN-GP On Toy Datasets
• DCGAN with GP on MNIST
• WGAN with Spectral Normalization on Flower102

Notebooks

WGAN-GP On Toy Datasets

Gaussian 8

Gaussian 25

Swiss Roll

DCGAN with GP on MNIST

WGAN with Spectral Normalization on Flower102

Stylegan2 Ada On Ukiyoe-faces

GANSpace PCA with Stylegan2 Ada On Ukiyoe-faces

References

• [1704.00028] Improved Training of Wasserstein GANs
• [1801.04406] Which Training Methods for GANs do actually Converge?
• [1902.03984] Improving Generalization and Stability of Generative Adversarial Networks
• [1709.08894] On the regularization of Wasserstein GANs
• [1609.04468] Sampling Generative Networks
  • dribnet/plat
• [1511.08861] Loss Functions for Neural Networks for Image Processing
• [1807.00734] The relativistic discriminator: a key element missing from standard GAN
• [1801.03924] The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
• [1706.08500] GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
• [1801.04406] Which Training Methods for GANs do actually Converge?
• [1512.09300] Autoencoding beyond pixels using a learned similarity metric
• [2002.04185] Smoothness and Stability in GANs
• [1705.09367] Stabilizing Training of Generative Adversarial Networks through Regularization
• [1802.05957] Spectral Normalization for Generative Adversarial Networks
• [2002.03754] Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
• [2004.02546] GANSpace: Discovering Interpretable GAN Controls