From 8dc755fb32b02b6bddc94b9d0e5aa96f6d61e304 Mon Sep 17 00:00:00 2001 From: kanxx030 Date: Fri, 6 Nov 2020 01:11:32 -0600 Subject: [PATCH] added unconditional gans --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 3a4d1b0..aeb73f0 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,8 @@ Tl;dr GANs containg two competing neural networks which iteratively generate new + :heavy_check_mark: WGAN: Wasserstein GAN, [[paper]](https://arxiv.org/abs/1701.07875), [[github]](https://github.com/martinarjovsky/WassersteinGAN) + :heavy_check_mark: WGAN-GP: Improved Training of Wasserstein GANs, [[paper]](https://arxiv.org/pdf/1704.00028.pdf), [[github]](https://github.com/caogang/wgan-gp) + :heavy_check_mark: RGAN: The relativistic discriminator: a key element missing from standard GAN, [[paper]](https://arxiv.org/abs/1807.00734), [[github]](https://github.com/AlexiaJM/RelativisticGAN) ++ :heavy_check_mark: BGAN: Boundary-Seeking Generative Adversarial Networks, [[paper]](https://arxiv.org/abs/1702.08431), [[github]](implementations/bgan/bgan.py) ++ :heavy_check_mark: ClusterGAN: Latent Space Clustering in Generative Adversarial Networks, [[paper]](https://arxiv.org/abs/1809.03627), [[github]](https://github.com/sudiptodip15/ClusterGAN) ### Conditional GANs + :heavy_check_mark: CGAN: Conditional Generative Adversarial Nets, [[paper]](https://arxiv.org/abs/1411.1784), [[github]](https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/cgan/cgan.py)