niffler92 / SNGAN
A Pytorch implementation of "Spectral Normalization for Generative Adversarial Networks"
☆7Updated 5 years ago
Alternatives and similar repositories for SNGAN:
Users that are interested in SNGAN are comparing it to the libraries listed below
- dcgan combined with vae in pytorch!☆116Updated 6 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆113Updated 6 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 5 years ago
- Implementation of Self-Attention Generative Adversarial Networks by Zhang et al. (with spectral normalization and projection discriminato…☆39Updated 6 years ago
- rGAN: Label-Noise Robust Generative Adversarial Networks☆97Updated 3 years ago
- Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018☆139Updated 5 years ago
- SingleGAN: Image-to-Image Translation by a Single-Generator Network using Multiple Generative Adversarial Learning. ACCV 2018☆83Updated 5 years ago
- Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis☆39Updated 6 years ago
- pyTorch implementation of Spectral Normalization for Generative Adversarial Networks☆248Updated 2 years ago
- Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017☆195Updated 5 years ago
- PyTorch Implementation of Unrolled Generative Adversarial Networks☆39Updated 6 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)☆72Updated 6 years ago
- ECCV2018☆68Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- A PyTorch Implementation for Octave Convolution in Drop an Octave☆45Updated 5 years ago
- Self-Attention Generative Adversarial Networks Implementation in PyTorch☆74Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- python package for self-attention gan implemented as extension of PyTorch nn.Module. paper -> https://arxiv.org/abs/1805.08318☆19Updated 6 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆173Updated 7 months ago
- A implement of spectral normalization GAN for tensorflow version☆27Updated 7 years ago
- Cross-domain disentanglement network☆91Updated 5 years ago
- Code accompanying the paper Fisher GAN: https://arxiv.org/abs/1705.09675☆23Updated 7 years ago
- ☆103Updated 7 years ago
- MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)☆151Updated 4 years ago
- Dual Discriminator Generative Adversarial Nets☆62Updated 7 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 6 years ago