lim0606 / pytorch-geometric-ganLinks
Code accompanying the paper "Geometric GAN"
☆57Updated 7 years ago
Alternatives and similar repositories for pytorch-geometric-gan
Users that are interested in pytorch-geometric-gan are comparing it to the libraries listed below
Sorting:
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- ☆21Updated 5 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆40Updated 6 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆44Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- ☆85Updated 10 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆92Updated 8 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Glow: Generative Flow with Invertible 1×1 Convolutions☆77Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Sliced Wasserstein Generator☆38Updated 7 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆78Updated 5 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- Invert a pre-trained GAN model (includes code for training a GAN on celebA)☆84Updated 6 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 8 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆42Updated 6 years ago
- ☆117Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Updated 7 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago