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 76–100 of 597 papers

TitleStatusHype
Fast L1-Minimization Algorithms For Robust Face RecognitionCode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and PerformanceCode0
HDNet: High-resolution Dual-domain Learning for Spectral Compressive ImagingCode0
DR2-Net: Deep Residual Reconstruction Network for Image Compressive SensingCode0
Adaptive Measurement Network for CS Image ReconstructionCode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Discrete and Continuous Difference of Submodular MinimizationCode0
Full Image Recover for Block-Based Compressive SensingCode0
Generalization Bounds for Sparse Random Feature ExpansionsCode0
Chasing Better Deep Image Priors between Over- and Under-parameterizationCode0
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
Difference of Convolution for Deep Compressive SensingCode0
Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsCode0
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid PrecodingCode0
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive ImagingCode0
Image-to-Image MLP-mixer for Image ReconstructionCode0
Invertible generative models for inverse problems: mitigating representation error and dataset biasCode0
Deep Regularized Compound Gaussian Network for Solving Linear Inverse ProblemsCode0
Deep Fully-Connected Networks for Video Compressive SensingCode0
A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse ProblemsCode0
Deep Geometric Distillation Network for Compressive Sensing MRICode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
DeepBinaryMask: Learning a Binary Mask for Video Compressive SensingCode0
CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive SensingCode0
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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