MariaPdg / image-autoencoding
VAE for image reconstruction
☆12Updated 3 years ago
Alternatives and similar repositories for image-autoencoding:
Users that are interested in image-autoencoding are comparing it to the libraries listed below
- Mutual Information in Pytorch☆110Updated last year
- PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models☆76Updated 8 months ago
- Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)☆77Updated 3 years ago
- An implementation of approximate convolutional sparse coding (CSC) based on paper: https://arxiv.org/abs/1711.00328☆43Updated 2 years ago
- Implementation of FA-VAE: Frequancy Augmented VAE☆13Updated last year
- Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"☆66Updated 3 years ago
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆22Updated 3 years ago
- Official Implementation of Poisson2Sparse - MICCAI 2022☆15Updated 2 years ago
- pytorch code for improved-precision-and-recall-metric☆25Updated 5 years ago
- Implementation of "Learning Multiscale Convolutional Dictionaries for Image Reconstruction", IEEE Transaction On Computational Imaging, 2…☆29Updated last year
- Code for Diff-SCM paper☆94Updated last year
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- Few-Shot Diffusion Models☆105Updated 2 years ago
- PyTorch implementation of gated PixelCNN☆59Updated last year
- ☆13Updated 11 months ago
- AE-GAN☆21Updated last year
- Official PyTorch code for "Out-of-distribution detection with denoising diffusion models"☆49Updated 9 months ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆110Updated 5 years ago
- This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and ser…☆62Updated 2 years ago
- This code implements sparse coding in PyTorch with GPU support.☆30Updated 3 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆55Updated 2 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated 10 months ago
- Official TensorFlow implementation of Federated Learning of Generative Image Priors for MRI Reconstruction (FedGIMP)☆14Updated 2 years ago
- The codes for "On Measuring and Controlling the Spectral Bias of the Deep Image Prior", accepted by IJCV☆13Updated 3 years ago
- Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli☆54Updated 4 years ago
- Uncertainty Guided Progressive GANs for Medical Image Translation☆52Updated 3 years ago
- AutoEncoder trained on ImageNet☆103Updated 2 years ago
- On Uncertainty Estimation in Medical ImageDenoising with Bayesian Deep Image Prior☆20Updated 4 years ago
- Implementation of Depthwise Separable Convolution (pytorch)☆75Updated 5 years ago