Spectral Normalization for Generative Adversarial Networks

SN-GAN：在WGAN中引入谱归一化.

f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization

fGAN：通过f散度构造GAN.

Improved Training of Wasserstein GANs

WGAN-GP：在WGAN中引入梯度惩罚.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

DCGAN：使用深度卷积神经网络构造GAN.

Wasserstein GAN

WGAN：使用Wasserstein距离构造GAN.

Towards Principled Methods for Training Generative Adversarial Networks

训练生成对抗网络的原则性方法.