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

(TPAMI 2024) Practical Compact Deep Compressed Sensing [PyTorch]

(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]

Deep Learning for Video Compressive Sensing

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

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

Three-dimensional compressive sensing algorithms

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

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

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

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

Compressed sensing and denoising of images using sparse representations

Reconstruction Algorithms for Compressive Sensing and Compressive Imaging

reconstruction algorithms for snapshot compressive imaging

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