(TPAMI 2025) Invertible Diffusion Models for Compressed Sensing [PyTorch]

Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)

A MATLAB library for sparse representation problems

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

Functional models and algorithms for sparse signal processing

PyTorch deep learning framework for video compressive sensing.

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

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

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

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.

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

Three-dimensional compressive sensing algorithms

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

(Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratios [PyTorch]

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

Image Reconstruction Using Compressive Sensing