Compressive Sensing

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 123 papers with code (597 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
  15 Nov 2021 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  The HSI representations are highly similar and correlated across the spectral dimension.
• IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI
  24 Sep 2019 3 repositories listed
  To improve the compressive sensing MRI (CS-MRI) approaches in terms of fine structure loss under high acceleration factors, we have proposed an iterative feature refinement model (IFR-CS), equipped with fixed…
• Learning to compress and search visual data in large-scale systems
  24 Jan 2019 3 repositories listed
  The problem of high-dimensional and large-scale representation of visual data is addressed from an unsupervised learning perspective.
• Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
  29 Aug 2018 3 repositories listed
  In this work, we study unfolded ISTA (Iterative Shrinkage Thresholding Algorithm) for sparse signal recovery.
• HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
  4 Mar 2022 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  On the one hand, the proposed HR spatial-spectral attention module with its efficient feature fusion provides continuous and fine pixel-level features.
• Memory-Efficient Network for Large-scale Video Compressive Sensing
  4 Mar 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  With the knowledge of masks, optimization algorithms or deep learning methods are employed to reconstruct the desired high-speed video frames from this snapshot measurement.
• Generalization Bounds for Sparse Random Feature Expansions
  4 Mar 2021 2 repositories listed
  In particular, we provide generalization bounds for functions in a certain class (that is dense in a reproducing kernel Hilbert space) depending on the number of samples and the distribution of features.
• MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing
  2 Mar 2021 2 repositories listed
  To capture high-speed videos using a two-dimensional detector, video snapshot compressive imaging (SCI) is a promising system, where the video frames are coded by different masks and then compressed to a snapshot…
• Deep Unfolding Basis Pursuit: Improving Sparse Channel Reconstruction via Data-Driven Measurement Matrices
  10 Jul 2020 2 repositories listed
  Moreover, compared with existing pure deep learning-based sparse reconstruction methods, the proposed hybrid data-driven scheme, which uses the novel data-driven measurement matrices with conventional sparse…
• Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
  3 Jun 2020 2 repositories listed
  Integrating large intelligent reflecting surfaces (IRS) into millimeter-wave (mmWave) massive multi-input-multi-ouput (MIMO) has been a promising approach for improved coverage and throughput.
• Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
  20 Jun 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Specifically, we consider the problem of solving linear inverse problems, such as compressive sensing, as well as non-linear problems, such as compressive phase retrieval.
• Multilinear Compressive Learning
  17 May 2019 2 repositories listed
  Compressive Learning is an emerging topic that combines signal acquisition via compressive sensing and machine learning to perform inference tasks directly on a small number of measurements.
• Provable Dynamic Robust PCA or Robust Subspace Tracking
  24 May 2017 2 repositories listed
  Dynamic robust PCA refers to the dynamic (time-varying) extension of robust PCA (RPCA).
• One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
  29 Mar 2017 2 repositories listed
  On the other hand, traditional methods using signal priors can be used in all linear inverse problems but often have worse performance on challenging tasks.
• CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing
  15 Dec 2016 2 repositories listed
  This paper addresses the real-time encoding-decoding problem for high-frame-rate video compressive sensing (CS).
• Discrete and Continuous Difference of Submodular Minimization
  9 Jun 2025 1 repository listed
  For discrete domains, we observe that DS minimization is equivalent to minimizing the difference of two convex (DC) functions, as in the set function case.
• Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery
  30 May 2025 1 repository listed
  This paper introduces a novel Knockoff-guided compressive sensing framework, referred to as \TheName{}, which enhances signal recovery by leveraging precise false discovery rate (FDR) control during the support…
• Sampling Innovation-Based Adaptive Compressive Sensing
  17 Mar 2025 1 repository listed
  In this paper, we introduce a Sampling Innovation-Based ACS (SIB-ACS) method that can effectively identify and allocate sampling to challenging image reconstruction areas, culminating in high-fidelity image…
• Modeling and Optimization for Flexible Cylindrical Arrays-Enabled Wireless Communications
  14 Mar 2025 1 repository listed
  Considering that horizontal revolving can change the antenna orientation, we adopt both the omni-directional and the directional antenna patterns.
• Flexible Intelligent Metasurface-Aided Wireless Communications: Architecture and Performance
  14 Mar 2025 1 repository listed
  In a multi-element, multi-path scenario, the EM-only mode improves the received signal power by 125% compared to the PBF-only mode.
• Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing
  11 Mar 2025 1 repository listed Syntology ran 1 of 4 samples · 3 unverified
  In this paper, we propose to use the powerful prior knowledge of pre-trained diffusion model in DUNs to achieve high-quality reconstruction with less steps for image CS.
• HUNet: Homotopy Unfolding Network for Image Compressive Sensing
  1 Jan 2025 1 repository listed
  Within the MHIM, we design the deep homotopy continuation strategy to ensure the interpretability of the homotopy algorithm and facilitate feature learning.
• Sparse Bayesian Generative Modeling for Compressive Sensing
  14 Nov 2024 1 repository listed
  This work addresses the fundamental linear inverse problem in compressive sensing (CS) by introducing a new type of regularizing generative prior.
• Chasing Better Deep Image Priors between Over- and Under-parameterization
  31 Oct 2024 1 repository listed
  Besides, we also extend LIP to compressive sensing image reconstruction, where a pre-trained GAN generator is used as the prior (in contrast to untrained DIP or deep decoder), and confirm its validity in this setting…
• Towards Real-time Video Compressive Sensing on Mobile Devices
  14 Aug 2024 1 repository listed
  The fast evolving mobile devices and existing high-performance video SCI reconstruction algorithms motivate us to develop mobile reconstruction methods for real-world applications.
• Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding
  12 May 2024 1 repository listed
  Compressive sensing is a promising solution for the channel estimation in multiple-input multiple-output (MIMO) systems with large antenna arrays and constrained hardware.
• CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing
  1 Jan 2024 1 repository listed
  In the domain of compressive sensing (CS) deep unfolding networks (DUNs) have garnered attention for their good performance and certain degree of interpretability rooted in CS domain achieved by marrying traditional…
• Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems
  28 Nov 2023 1 repository listed
  Incorporating prior information into inverse problems, e.
• An Efficient Algorithm for Clustered Multi-Task Compressive Sensing
  30 Sep 2023 1 repository listed
  This paper considers clustered multi-task compressive sensing, a hierarchical model that solves multiple compressive sensing tasks by finding clusters of tasks that leverage shared information to mutually improve signal…
• Compressive Image Scanning Microscope
  19 Jul 2023 1 repository listed
  We present a novel approach to implement compressive sensing in laser scanning microscopes (LSM), specifically in image scanning microscopy (ISM), using a single-photon avalanche diode (SPAD) array detector.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.