baudm / vaegan-celebs-keras
Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)
☆39Updated 5 years ago
Alternatives and similar repositories for vaegan-celebs-keras:
Users that are interested in vaegan-celebs-keras are comparing it to the libraries listed below
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆54Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆121Updated 6 years ago
- Spectral Normalization for Keras Dense and Convolution Layers☆121Updated 5 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 6 years ago
- Deep generative networks, coded with Keras.☆122Updated 7 years ago
- Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN,…☆229Updated 2 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Generative image model with learned similarity measures☆439Updated 8 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 7 years ago
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 6 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆187Updated 7 years ago
- ☆86Updated 7 years ago
- WGAN-GP tensorflow implementation☆72Updated 2 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆150Updated 7 years ago
- Implementation of Adversarial Autoencoder in Keras☆32Updated 6 years ago
- code for "Adversarial Feature Learning"☆237Updated 2 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- Simple Tensorflow implementation of "Self-Attention Generative Adversarial Networks" (SAGAN)☆551Updated 5 years ago
- dcgan combined with vae in pytorch!☆116Updated 6 years ago
- Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"☆45Updated 6 years ago
- Auxiliary Classifier Generative Adversarial Networks in Keras☆213Updated 7 years ago
- VAE-GAN in Tensorflow☆91Updated 5 years ago
- ☆48Updated 7 years ago
- Keras implementation of the conditional GAN.☆57Updated 8 years ago
- Self-Attention Generative Adversarial Networks Implementation in PyTorch☆74Updated 6 years ago
- Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs),…☆333Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆168Updated 7 years ago
- Self Attention GAN (https://arxiv.org/abs/1805.08318) implemented with keras☆21Updated 5 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆127Updated last year
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 6 years ago