RahulBhalley / progressive-growing-of-gans.pytorchLinks
ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods
☆52Updated last year
Alternatives and similar repositories for progressive-growing-of-gans.pytorch
Users that are interested in progressive-growing-of-gans.pytorch are comparing it to the libraries listed below
Sorting:
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)☆95Updated 8 years ago
- Pytorch implementation of BicycleGAN with implementation details☆102Updated 7 years ago
- torch code to decode (and almost encode) latents from art-DCGAN's Portrait GAN☆38Updated 7 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆91Updated 7 years ago
- Tensorflow implementation of paper "unsupervised image to image translation networks"☆69Updated 8 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Updated 8 years ago
- ☆51Updated 3 years ago
- Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.☆141Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆79Updated 6 years ago
- Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.☆126Updated 9 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Re-implement CycleGAN in Tensorlayer☆89Updated 7 years ago
- ☆29Updated 7 years ago
- Simple Tensorflow implementation of "Stabilizing Adversarial Nets With Prediction Methods" (ICLR 2018)☆16Updated 7 years ago
- ☆38Updated 8 years ago
- Chainer implementation of Least Squares GAN (LSGAN)☆53Updated 8 years ago
- adversarial autoencoder (AAE) with tensorflow for MNIST☆19Updated 8 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆151Updated 5 years ago
- A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017☆142Updated 8 years ago
- Video Pixel Networks in Tensorflow☆55Updated 7 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 7 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆123Updated 8 years ago
- Lightweight implementation of neural style in Pytorch with SqueezeNet☆75Updated 8 years ago