vislearn / conditional_INNs
Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)
☆95Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for conditional_INNs
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆70Updated last year
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆84Updated 4 years ago
- Conditional-Glow for Structured Prediction☆26Updated last year
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆42Updated 6 months ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆27Updated 3 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆50Updated 2 years ago
- ☆50Updated 3 years ago
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- Code to reproduce results from "Invertible generative models for inverse problems: mitigating representation error and dataset bias"☆21Updated 4 years ago
- PyTorch implementation of realNVP☆83Updated 2 months ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆77Updated 4 years ago
- ☆101Updated last year
- Sliced Wasserstein Distance (SWD) in PyTorch☆109Updated 5 years ago
- Training MMD GANs.☆85Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆106Updated 6 years ago
- Implementation of non-linear independent components estimation (NICE) in pytorch☆50Updated 4 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆144Updated last year
- Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".☆21Updated 3 years ago
- Invertible Generative Flows☆81Updated 3 years ago
- Unofficial PyTorch implementation of the paper "Generating images with sparse representations"☆36Updated 3 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- ☆22Updated 4 years ago
- Mode collapse example of GANs in 2D (PyTorch).☆41Updated last year
- ☆30Updated 4 years ago
- Code for reproducing Flow ++ experiments☆187Updated 5 years ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆36Updated 4 years ago
- A fully invertible U-Net for memory efficiency in Pytorch.☆121Updated 2 years ago
- ☆19Updated last year
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆28Updated 4 years ago