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
Related projects: ⓘ
- Keras implementation of the paper "Autoencoding beyond pixels using a learned similarity metric"☆53Updated 6 years ago
- Spectral Normalization for Keras Dense and Convolution Layers☆122Updated 4 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆128Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆120Updated 5 years ago
- WGAN-GP tensorflow implementation☆72Updated last year
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆182Updated 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,…☆223Updated 2 years ago
- CPU/GPU/TPU implementation of the Inception Score☆80Updated 4 years ago
- ☆86Updated 6 years ago
- Conditional Wasserstein GANs☆71Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆71Updated 5 years ago
- VAE-GAN in Tensorflow☆89Updated 5 years ago
- Keras implementation of the conditional GAN.☆57Updated 7 years ago
- Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (…☆148Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆91Updated 7 years ago
- Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained ex…☆77Updated 5 years ago
- Self-Attention Generative Adversarial Networks Implementation in PyTorch☆73Updated 6 years ago
- code for "Adversarial Feature Learning"☆236Updated 2 years ago
- Code for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".☆127Updated last year
- dcgan combined with vae in pytorch!☆117Updated 5 years ago
- Dual Discriminator Generative Adversarial Nets☆63Updated 6 years ago
- Keras implementation of Balancing GAN (BAGAN) applied to the MNIST example.☆108Updated 3 years ago
- ☆52Updated this week
- Simple Tensorflow Implementation of "Spectral Normalization for Generative Adversarial Networks" (ICLR 2018)☆141Updated 6 years ago
- Generative image model with learned similarity measures☆435Updated 7 years ago
- Wasserstein GAN TensorFlow Implementation☆44Updated 4 years ago
- ☆48Updated 6 years ago
- A keras implementation of conditional wgan-gp☆43Updated 5 years ago
- Implemention of "CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training"☆43Updated 5 years ago