rafaelbidese / LOGAN
This repository implements the latent optimization using automatic differentiation from the paper LOGAN.
☆10Updated 4 years ago
Related projects: ⓘ
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 4 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆27Updated 4 years ago
- ☆28Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆44Updated 4 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 2 years ago
- ☆21Updated 4 years ago
- ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.☆22Updated last month
- ☆24Updated 4 months ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 3 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆21Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago
- ☆16Updated 3 years ago
- ☆32Updated 6 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 3 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 5 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆33Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- ☆9Updated 4 years ago
- [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements☆40Updated last year
- Source code for ICLR 2019 paper☆24Updated 3 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆43Updated 4 years ago
- A discrete sequential VAE☆38Updated 4 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆77Updated 4 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆23Updated last year
- The Deep Weight Prior, ICLR 2019☆44Updated 3 years ago
- ☆30Updated 4 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆23Updated 3 years ago
- PyTorch Implementation of CVPR'19 - On the Intrinsic Dimensionality of Image Representation☆23Updated 5 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆25Updated 2 years ago