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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 597 papers

TitleStatusHype
OpenICS: Open Image Compressive Sensing Toolbox and BenchmarkCode1
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
Measuring Robustness in Deep Learning Based Compressive SensingCode1
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network LatencyCode1
AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed SensingCode1
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive SensingCode1
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximationCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximationCode1
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image ReconstructionCode1
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
Nearly Optimal Robust Subspace TrackingCode1
Disentangling coincident cell events using deep transfer learning and compressive sensing—0
Zero-Shot Solving of Imaging Inverse Problems via Noise-Refined Likelihood Guided Diffusion Models—0
RadioDUN: A Physics-Inspired Deep Unfolding Network for Radio Map Estimation—0
Discrete and Continuous Difference of Submodular MinimizationCode0
Low-Complexity Super-Resolution Signature Estimation of XL-MIMO FMCW Radar—0
Training Beam Design for Channel Estimation in Hybrid mmWave MIMO Systems—0
Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal RecoveryCode0
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization—0
A Novel Radar Constant False Alarm Rate Detection Algorithm Based on VAMP Deep Unfolding—0
Secure Directional Modulation with Movable Antenna Array Aided by RIS—0
Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack—0
Show:102550
← PrevPage 2 of 24Next →
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