qhoangdl / MGAN
Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators
☆38Updated 5 years ago
Related projects: ⓘ
- GANs with multiple Discriminators☆79Updated last year
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 3 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated last year
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 6 years ago
- dcgan combined with vae in pytorch!☆117Updated 5 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- ECCV2018☆68Updated 5 years ago
- Generative Adversarial Network with Weight Normalization + ResNet☆22Updated 6 years ago
- implement infoGAN using pytorch☆151Updated 5 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆72Updated 5 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆71Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆198Updated last year
- ☆52Updated this week
- See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs☆24Updated 3 years ago
- Variational Auto Encoder☆39Updated 7 years ago
- ☆67Updated 5 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 5 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- Dual Discriminator Generative Adversarial Nets☆63Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆99Updated 5 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 5 years ago
- Implementation of autoencoders in PyTorch☆56Updated 6 years ago
- Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as …☆30Updated 6 years ago
- Official implementation of "On GANs and GMMs"☆65Updated 4 years ago
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆33Updated 4 years ago
- ☆48Updated 6 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 6 years ago