EliasNehme / NPPCLinks
Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"
☆13Updated last year
Alternatives and similar repositories for NPPC
Users that are interested in NPPC are comparing it to the libraries listed below
Sorting:
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆58Updated 2 years ago
- Official implementation of "Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems" paper.☆24Updated last year
- Official implementation of ReSample (https://arxiv.org/abs/2307.08123)☆75Updated last year
- Official implementation of the paper "Normalization-Equivariant Neural Networks with Application to Image Denoising" (NeurIPS'23)☆13Updated 4 months ago
- ☆14Updated last year
- Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"☆260Updated 3 years ago
- InverseBench (ICLR 2025 spotlight)☆83Updated 3 weeks ago
- ☆10Updated 10 months ago
- Fast implementation of the multi-dimensional fractional Fourier transform in Python☆50Updated 3 years ago
- ☆98Updated 2 years ago
- Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.☆32Updated 4 years ago
- Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization☆31Updated 2 weeks ago
- This is the official implementation of "DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models" (NeurIPS 2024).☆69Updated 2 months ago
- Implementation for Proximal Neural Networks.☆11Updated 4 years ago
- Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)☆37Updated 11 months ago
- Official implementation of the Reconstruct Anything Model (RAM)☆48Updated 4 months ago
- Conditional Invertible Neural Networks for Medical Imaging☆20Updated 3 years ago
- [NeurIPS 2024] Official implementation of NeurIPS 2024 paepr "Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory …☆24Updated 8 months ago
- Official code for "Enabling Uncertainty Estimation in Iterative Neural Networks" (ICML 2024)☆18Updated last year
- ☆99Updated 3 years ago
- [NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically☆52Updated 3 years ago
- [ICLR 2025] Official Implementation: "Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Cor…☆20Updated 8 months ago
- ☆21Updated 5 years ago
- PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driv…☆12Updated 9 months ago
- Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Acceler…☆72Updated last year
- Official repository for the Monte Carlo guided Diffusion for Bayesian linear inverse problems paper:☆20Updated 11 months ago
- ☆28Updated last year
- PyTorch Implementation of Diffusion Schrodinger Bridge Matching☆188Updated 9 months ago
- Source code for the experiments of Trainable Fractional Fourier Transform paper submitted to IEEE Signal Processing Letters.☆17Updated last year
- Examples and code for "Solving linear inverse problems using the prior implicit in a denoiser", Z Kadkhodaie and EP Simoncelli☆56Updated 4 years ago