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.

Improved Techniques for Training GANs

训练生成对抗网络的改进技巧.

生成对抗网络(Generative Adversarial Network)

Generative Adversarial Networks.本文目录： 理解生成对抗网络：博弈论视角、优化视角、能量模型视角、动力学视角 使用Pytorch实现生成对抗网络：MMGAN、NSGAN、合并交替优化 生成对抗网络的评估指...