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

(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)

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

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

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

Compressed sensing and denoising of images using sparse representations

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

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

reconstruction algorithms for snapshot compressive imaging

Image Reconstruction Using Compressive Sensing