wittawatj / cadganLinks
ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
☆22Updated 11 months ago
Alternatives and similar repositories for cadgan
Users that are interested in cadgan are comparing it to the libraries listed below
Sorting:
- ☆21Updated 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 Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 4 years ago
- ☆26Updated 6 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- ☆42Updated 6 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 6 years ago
- ☆32Updated 6 years ago
- ☆34Updated 6 years ago
- ☆46Updated 7 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Implementation of Information Dropout☆39Updated 7 years ago
- Riemannian approach to batch normalization☆18Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago