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 1–50 of 597 papers

TitleStatusHype
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
Sampling Innovation-Based Adaptive Compressive SensingCode1
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive SensingCode1
CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive SensingCode1
Dynamic Path-Controllable Deep Unfolding Network for Compressive SensingCode1
Optimization-Inspired Cross-Attention Transformer for Compressive SensingCode1
A Spatially Separable Attention Mechanism for massive MIMO CSI FeedbackCode1
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive SensingCode1
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural NetworksCode1
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive SensingCode1
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive SensingCode1
Ensemble learning priors unfolding for scalable Snapshot Compressive SensingCode1
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive SensingCode1
CSformer: Bridging Convolution and Transformer for Compressive SensingCode1
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive ImagingCode1
Memory-Augmented Deep Unfolding Network for Compressive SensingCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural NetworkCode1
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Untrained networks for compressive lensless photographyCode1
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive SensingCode1
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 1 of 12Next →
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