iDurugkar / GMAN
GANs with multiple Discriminators
☆78Updated 2 years ago
Alternatives and similar repositories for GMAN:
Users that are interested in GMAN are comparing it to the libraries listed below
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆62Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- ☆48Updated 6 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- ☆64Updated 8 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 7 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- Wasserstein Introspective Neural Networks (CVPR 2018 Oral)☆59Updated 6 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 7 years ago
- A implement of spectral normalization GAN for tensorflow version☆27Updated 7 years ago
- Disconnected Manifold Learning for Generative Adversarial Networks.☆13Updated 6 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Semi-supervised InfoGAN☆25Updated 6 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
- PixelVAE with or without regularization☆66Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 7 years ago
- InfoGAN: Interpretable Representation Learning☆154Updated 7 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆182Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Torch Implemention of ECCV'16 paper: Attribute2Image☆95Updated 5 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Training a MNIST classifier, and use it to compute inception score (ICP)☆26Updated 7 years ago
- Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN)☆46Updated 7 years ago
- implement infoGAN using pytorch☆152Updated 6 years ago