cbokpark / Pytorch-Latent-Constraints-Learning-to-Generate-Conditionally-from-Unconditional-Generative-Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models implemented by pytorch
☆12Updated 6 years ago
Related projects: ⓘ
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 3 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 5 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆99Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Non official pytorch implementation of i-Resnet, invertible residual networks.☆25Updated 2 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 5 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆58Updated last year
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 5 years ago
- implements optimal transport algorithms in pytorch☆91Updated 2 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 4 years ago
- Pytorch implementation of Autoencoding beyond Pixels Using a Learned Similarity Metric☆29Updated 6 years ago
- NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"☆20Updated 5 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆40Updated 3 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Updated 6 years ago
- PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video☆47Updated 4 years ago
- Sliced Wasserstein Generator☆37Updated 6 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆38Updated last year
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆24Updated 6 years ago
- ☆16Updated this week
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆43Updated 6 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 4 years ago
- ☆33Updated 3 years ago
- Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)☆19Updated 5 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆71Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversa…☆31Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆78Updated 5 years ago