SOTAVerified

Compressive Sensing

Compressive Sensing is a new signal processing framework for efficiently acquiring and reconstructing a signal that have a sparse representation in a fixed linear basis.

Source: Sparse Estimation with Generalized Beta Mixture and the Horseshoe Prior

Papers

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Showing 1–50 of 597 papers

TitleStatusHype
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
CSformer: Bridging Convolution and Transformer for Compressive SensingCode1
A Spatially Separable Attention Mechanism for massive MIMO CSI FeedbackCode1
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive SensingCode1
Dynamic Path-Controllable Deep Unfolding Network for Compressive SensingCode1
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image ReconstructionCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
Memory-Augmented Deep Unfolding Network for Compressive SensingCode1
Nearly Optimal Robust Subspace TrackingCode1
Sampling Innovation-Based Adaptive Compressive SensingCode1
Untrained networks for compressive lensless photographyCode1
FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive SensingCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive SensingCode1
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural NetworksCode1
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive SensingCode1
Measuring Robustness in Deep Learning Based Compressive SensingCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive SensingCode1
OpenICS: Open Image Compressive Sensing Toolbox and BenchmarkCode1
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive SensingCode1
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive SensingCode1
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
Ensemble learning priors unfolding for scalable Snapshot Compressive SensingCode1
Optimization-Inspired Cross-Attention Transformer for Compressive SensingCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed SensingCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive ImagingCode1
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximationCode1
CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive SensingCode1
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximationCode1
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural NetworkCode1
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Finer Metagenomic Reconstruction via Biodiversity OptimizationCode0
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent VariablesCode0
Fast L1-Minimization Algorithms For Robust Face RecognitionCode0
Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and PerformanceCode0
DR2-Net: Deep Residual Reconstruction Network for Image Compressive SensingCode0
Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement MatricesCode0
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid PrecodingCode0
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All datasetsSet11 cs=50%BSD68 CS=50%BSDS100 - 2x upscalingUrban100 - 2x upscaling

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DMP-DUN-Plus (4-step)Average PSNR42.82—Unverified
2AMPA-NetAverage PSNR40.32—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR36.33—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.95—Unverified
#ModelMetricClaimedVerifiedStatus
1AMPA-NetAverage PSNR35.86—Unverified