GANs

Generative Adversarial Networks

Papers

Papers includes leading papers in GANs

• 2014 - Generative Adversarial Nets
• 2014 - Conditional Generative Adversarial Nets
• 2016 - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
• 2016 - Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Codes

Codes includes some useful GANs codes developed by brilliant researchers and some of them created and edited by me

• GANs intro - 1D Gaussian Distribution Approximation
• GANs MNIST - Generate the Numbers
• DCGAN MNIST - DCGAN with MNIST