kellman / physics_based_learningLinks
Learning for computational imaging system made simple.
☆65Updated 4 years ago
Alternatives and similar repositories for physics_based_learning
Users that are interested in physics_based_learning are comparing it to the libraries listed below
Sorting:
- Deep Probabilistic Imaging (DPI): Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging☆38Updated 3 years ago
- Total Deep Variation Regularizer☆51Updated 4 years ago
- Learning the experimental design for Fourier Ptychographic Microscopy☆48Updated 5 years ago
- ☆98Updated 6 years ago
- A unifying Matlab framework for the development of reconstruction algorithms (solving inverse problems) in computational imaging☆88Updated 3 months ago
- Code related to the paper "On instabilities of deep learning in image reconstruction - Does AI come at a cost?"☆35Updated 5 months ago
- ☆16Updated 6 years ago
- Implementation of the variational network for denoising.☆17Updated 2 years ago
- Code related to the paper "Deep Equilibrium Architectures for Inverse Problems in Imaging"☆37Updated 4 years ago
- Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"☆47Updated 5 years ago
- Code for Lensless Learning Paper☆69Updated 4 years ago
- Deep inverse problems in Python☆60Updated 3 months ago
- ☆49Updated 3 years ago
- Build-your-own DiffuserCam tutorial☆63Updated 6 years ago
- An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.☆28Updated 8 years ago
- Scientific Computational Imaging COde☆142Updated 2 weeks ago
- This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low…☆41Updated 8 years ago
- DeepRED: Deep Image Prior Powered by RED☆68Updated 5 years ago
- Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Cham…☆44Updated 2 years ago
- Solving ill-posed inverse problems using iterative deep neural networks☆97Updated 4 years ago
- Optimization framework developed in Pytorch, allowing calibration, and joint optimization of optics and deep learning models.☆54Updated 2 years ago
- Image Deconvolution with Plug-and-Play ADMM using an X-Dense-U-Net denoiser☆11Updated 3 months ago
- Compressed sensing with deep image prior algorithm☆63Updated last year
- This package contains the code to run prDeep; a noise robust phase retrieval algorithm based on deep neural networks.☆45Updated 6 years ago
- A convex 3D deconvolution algorithm for low photon count fluorescence imaging☆33Updated 3 years ago
- Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution a…☆19Updated last year
- ☆52Updated 3 years ago
- Code for the PyTorch implementation of "Spatially-Variant CNN-based Point Spread Function Estimation for Blind Deconvolution and Depth Es…☆52Updated 4 years ago
- Official implementation of Ring Deconvolution Microscopy from https://www.nature.com/articles/s41592-025-02684-5☆52Updated last month
- Code for "Semi-Blind Spatially-Variant Deconvolution in Optical Microscopy with Local Point Spread Function Estimation By Use Of Convolut…☆31Updated 5 years ago