zj10 / PGALinks
A TensorFlow implementation of perceptual generative autoencoder (PGA).
☆22Updated 5 years ago
Alternatives and similar repositories for PGA
Users that are interested in PGA are comparing it to the libraries listed below
Sorting:
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆79Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- ☆32Updated 7 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 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…☆41Updated 4 years ago
- ☆22Updated 5 years ago
- A discrete sequential VAE☆40Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ☆30Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Very deep VAEs in JAX/Flax☆46Updated 4 years ago
- ☆29Updated 4 years ago
- ☆42Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …☆20Updated 7 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- ☆27Updated 5 years ago
- ☆64Updated last year
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- ☆42Updated 2 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago