A MATLAB library for sparse representation problems

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

Functional models and algorithms for sparse signal processing

PyTorch deep learning framework for video compressive sensing.

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

Deep Learning for Video Compressive Sensing

A non-iterative algorithm to reconstruct images from compressively sensed measurements.

C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)

Three-dimensional compressive sensing algorithms

Measuring the robustness of compressive sensing methods (including deep-learning-based ones) for image reconstruction.

An open source Python single-pixel imaging kit for educational and research purposes.

TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing

Compressed sensing and denoising of images using sparse representations

reconstruction algorithms for snapshot compressive imaging

Implementation of IEEE 2019 Research Paper : Image Compressed Sensing using Convolutional Neural Network.

Image Reconstruction Using Compressive Sensing

Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

MISSION: Ultra Large-Scale Feature Selection using Count-Sketches