From a40903e1cb6df5e6734ce302d8f623e16d86583c Mon Sep 17 00:00:00 2001 From: kanxx030 Date: Fri, 6 Nov 2020 00:13:23 -0600 Subject: [PATCH] added GAN commentary --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 6ecf062..3e13a65 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,7 @@ A curated list of GAN & Deepfake papers and repositories. ## GANs +Tl;dr GANs contain two networks: a generator and a discriminator. The generator creates 'fake' images from noise to fool the discriminator, which attempts to distinguish real images from 'fake' images. Through adversarial training the generator should generate images that closely resemble training images. ### Unconditional GANs + Vanilla GAN: Generative Adversarial Networks, [[paper]](https://arxiv.org/abs/1406.2661), [[github]](https://github.com/eriklindernoren/PyTorch-GAN/tree/master/implementations/gan)