timsainb / GAIA
Generative Adversarial Interpolative Autoencoder (GAIA) is a Generative Adversarial Network (GAN) made up of Autoencoders (AE) trained explicitly on interpolations to promote convexity and better latent interpolations.
☆78Updated 5 years ago
Alternatives and similar repositories for GAIA:
Users that are interested in GAIA are comparing it to the libraries listed below
- Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch☆32Updated 7 years ago
- BMSG-GAN with more features☆45Updated 5 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 6 years ago
- Variational Autoencoder trained by Feature Perceputal Loss☆82Updated 6 years ago
- Pure tensorflow implementation of progressive growing of GANs☆30Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆92Updated 8 years ago
- dcgan combined with vae in pytorch!☆116Updated 6 years ago
- Code for the NIPS17 paper "Stabilizing Training of Generative Adversarial Networks through Regularization"☆94Updated 7 years ago
- Glow: Generative Flow with Invertible 1×1 Convolutions☆77Updated 6 years ago
- Invert a pre-trained GAN model (includes code for training a GAN on celebA)☆84Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 8 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- VAE-GAN in Tensorflow☆90Updated 6 years ago
- A PyTorch implementation of the VQ-VAE-2 paper☆75Updated 5 years ago
- Progressive training of GANs with Mutual Information Penalty☆187Updated 6 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods☆52Updated 8 months ago
- Simple Tensorflow implementation of RelativisticGAN☆50Updated 6 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Code accompanying the paper "Geometric GAN"☆57Updated 7 years ago
- Code for reproducing experiments in "Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images"☆16Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Simple Tensorflow implementation of SphereGAN (CVPR 2019 Oral)☆56Updated 5 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆182Updated 7 years ago