GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint

GAN-QP：在对偶空间定义没有梯度消失且满足Lipschitz约束的目标.

The relativistic discriminator: a key element missing from standard GAN

RGAN：GAN中的相对判别器.

Adversarial Autoencoders

对抗自编码器.

Gradients without Backpropagation

使用前向梯度代替反向传播.

Adversarial Feature Learning

BiGAN：使用双向GAN进行对抗特征学习.

Autoencoding beyond pixels using a learned similarity metric

VAE-GAN：结合VAE和GAN.