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

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

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.

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

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

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

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

PyTorch Implementation of "SPI-GAN: Towards Single-Pixel Imaging through Generative Adversarial Network"

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

[CVPR2025] Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

Co-VeGAN: Complex-Valued Generative Adversarial Network for Compressive Sensing MR Image Reconstruction

Novel image compression–encryption hybrid algorithm based on key-controlled measurement matrix in compressive sensing

Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.

An unsupervised compressed-sensing technique for fundamental objects selection

tensorflow implementation of dr2net

Simulator for Coded Aperture Spectral Snapshot Imaging

A recursive framework to enhance the efficiency of deep unfolding networks.