There are 21 repositories under compressed-sensing topic.
Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
[ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Compressed Sensing and Motion Correction LAB: An MR acquisition and reconstruction system
(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]
(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]
(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]
TensorFlow implementation of descrete wavelets transforms
[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
A Deep Learning Approach to Ultrasound Image Recovery
C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms
An un-trained neural network with a potential application in accelerated MRI
Data Consistency Toolbox for Magnetic Resonance Imaging
Enhancing Compressive Sensing with Neural Networks
(TIP 2022) Content-aware Scalable Deep Compressed Sensing [PyTorch]
Deep Learning/Deep neural network-based Image/Video (Quantized) Compressed/Compressive Sensing (Coding)
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]
Recovery of images from few pixels
Code for "Adversarial and Perceptual Refinement Compressed Sensing MRI Reconstruction"
Task-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
Contains a wide-ranging collection of compressed sensing and feature selection algorithms. Examples include matching pursuit algorithms, forward and backward stepwise regression, sparse Bayesian learning, and basis pursuit.
Compressed sensing and denoising of images using sparse representations
Scalable sparse Bayesian learning for large CS recovery problems
Computational Ultrasound Imaging Toolbox for MATLAB
Implementation of IEEE 2019 Research Paper : Image Compressed Sensing using Convolutional Neural Network.
Image Reconstruction Using Compressive Sensing
Sparse phase unwrapping of InSAR interferograms
Source code for the paper "Deep Learning Sparse Ternary Projections For Compressed Sensing of Images"
(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]