How Well Do WGANs Estimate the Wasserstein Metric?

讨论WGAN与Wasserstein距离的近似程度.

GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks

GraN-GAN：在WGAN中引入分段线性的梯度归一化.

Gradient Normalization for Generative Adversarial Networks

GN-GAN：在WGAN中引入梯度归一化.

Wasserstein Divergence for GANs

WGAN-div：通过Wasserstein散度构造GAN.

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.