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
CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI FeedbackCode1
A Spatially Separable Attention Mechanism for massive MIMO CSI FeedbackCode1
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive SensingCode1
Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting SurfacesCode1
CSformer: Bridging Convolution and Transformer for Compressive SensingCode1
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive SensingCode1
Memory-Augmented Deep Unfolding Network for Compressive SensingCode1
OpenICS: Open Image Compressive Sensing Toolbox and BenchmarkCode1
Sampling Innovation-Based Adaptive Compressive SensingCode1
Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive SensingCode1
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image ReconstructionCode1
AMP-Net: Denoising based Deep Unfolding for Compressive Image SensingCode1
D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive SensingCode1
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural NetworksCode1
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive ImagingCode1
ISTA-Net++: Flexible Deep Unfolding Network for Compressive SensingCode1
Measuring Robustness in Deep Learning Based Compressive SensingCode1
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive SensingCode1
Nearly Optimal Robust Subspace TrackingCode1
Optimization-Inspired Cross-Attention Transformer for Compressive SensingCode1
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed SensingCode1
Untrained networks for compressive lensless photographyCode1
Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive SensingCode1
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Ensemble learning priors unfolding for scalable Snapshot Compressive SensingCode1
Dynamic Path-Controllable Deep Unfolding Network for 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
Memory-Efficient Network for Large-scale Video Compressive SensingCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive SensingCode1
FSOINet: Feature-Space Optimization-Inspired Network for Image Compressive SensingCode1
SNIPS: Solving Noisy Inverse Problems StochasticallyCode1
Learning Nonlocal Sparse and Low-Rank Models for Image Compressive SensingCode1
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximationCode1
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximationCode1
A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural NetworkCode1
Fast L1-Minimization Algorithms For Robust Face RecognitionCode0
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent VariablesCode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRICode0
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid PrecodingCode0
Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement MatricesCode0
Discrete and Continuous Difference of Submodular MinimizationCode0
An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratiosCode0
Towards improving discriminative reconstruction via simultaneous dense and sparse codingCode0
An Efficient Algorithm for Clustered Multi-Task 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