Compressed Sensing

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Overview

Compressed sensing studies how to reconstruct signals from undersampled measurements, making acquisition faster or less costly in settings such as MRI, CT, and single-pixel imaging. Methods range from sparse optimization and sensing-matrix design to deep unfolding, plug-and-play denoisers, and generative priors; some adapt measurements to a downstream task rather than image fidelity alone. Work spans theoretical recovery guarantees and practical systems for images, videos, and other structured data. A central tension is that learned priors can improve reconstructions with very few measurements but may be sensitive to operator or prior mismatch, while stronger guarantees do not always predict perceptual or task performance.

Latest papers

CardsList

33 papers2 papers in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

  1. Computational compressive imaging reconstruction with a simulated-annealing-based Ising solver

    Oct 14, 2026Ze Zheng, Xiaoyan Wu, Hang Xu +3Image ReconstructionComputational Imaging

    Institute for Quantum Sensing and Information Processing, State Key Laboratory of Photonics and Communications, Shanghai Jiao Tong University, Shanghai 200240, China · Hefei National Laboratory, Hefei 230088, China · Shanghai Research Center for Quantum Sciences, Shanghai 201315, China

  2. Recovery Guarantees for Posterior Sampling of One-Bit Compressed Sensing

    Oct 8, 2026Jing Ma, Yujia Wu, Zhaoqiang LiuCompressed SensingSample Complexity

    University of Electronic Science and Technology of China

  3. Efficient Support Recovery of Mixtures of Sparse Linear Classifiers with Fewer Measurements

    Sep 26, 2026Xiaxin Li, Arya MazumdarSparse RecoverySample Complexity

    Halıcıoğlu Data Science Institute, University of California, San Diego

  4. CLEAR: Complex Learned Explicit Analytical Regularization for Ultra-Accelerated 4D Flow CMR Reconstruction

    Sep 19, 2026German Shâma Wache, Sebastian NeumayerAccelerated MRI Reconstruction4D Reconstruction

    Chemnitz University of Technology, Germany

  5. Classification-oriented adaptive sensing via posterior sampling

    Sep 18, 2026Andriy Enttsel, Maxime Rousselot, Vincent CorlayCompressed SensingDiffusion Posterior Sampling

    Mitsubishi Electric R&D Centre Europe

  6. Newton Deep Unfolding for Compressed Sensing

    Sep 13, 2026Changhua He, Xianchao XiuCompressed SensingDeep Unfolding

    School of Mechatronic Engineering and Automation, Shanghai University

  7. Recovering linear images of sparse signals from indirect observations

    Sep 5, 2026Anatoli Juditsky, Arkadi NemirovskiSparse RecoveryCompressed Sensing

    LJK, Université Grenoble Alpes, 700 Avenue Centrale, 38401 Domaine Universitaire de Saint-Martin-d’Hères, France · Georgia Institute of Technology, Atlanta, Georgia 30332, USA

  8. Full-Model Optimality for Tunable Linear Generative Priors in Compressed Sensing

    Sep 2, 2026Zhaoming Li, Paul HandCompressed SensingModel Selection

    Department of Mathematics, Northeastern University, Boston, MA 02115, USA. · Department of Mathematics and Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA.

  9. Learning the Mathematical Property for Designing Low Mutual Coherence Binary Sensing Matrices

    Aug 13, 2026Rekha, Santosh Singh, S. K. NeogySparse RecoveryCompressed Sensing

    Department of Mathematics, Shiv Nadar Institution of Eminence, Delhi, India. · Centre for Research on Economics and Data Analysis (CREDA), Indian Statistical Institute, New Delhi, India.

  10. PE-CSNet: An equivariant network architecture with learnable patch-based sparse representation

    Aug 11, 2026Kai Li, Haitao Long, Bo Zhang +2Deep UnfoldingCompressed Sensing

    Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. · SKLMS and Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China and School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China · SKLMS and Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China

  11. Multilevel Graph Wavelet Compressed Sensing with Scale-Aware Neural Recovery

    Jul 23, 2026Amirhossein Nouranizadeh, Sarang Rajendra Patil, Alan John Varghese +3Graph Signal ProcessingSparse Recovery

    Simplicial Technologies Inc., Toronto, ON, Canada · Department of Data Science, New Jersey Institute of Technology, Newark, NJ · School of Engineering, Brown University, Providence, RI +2

  12. Quantum Compressed Sensing CT Reconstruction Algorithm Based on Penalized Weighted Least Squares and Guided Total Variation

    Jul 12, 2026Yuwen Zhang, Yujie Liu, Ao Wang +4Sparse-View CT ReconstructionQuadratic Unconstrained Binary Optimization

    Department of Medical Imaging Technology, Peking University Health Science Center, Beijing, China

  13. Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy

    Jul 2, 2026Jianqing Jia, Yi Gong, Xinyuan Zhang +3Image ReconstructionCompressed Sensing

    School of Data and Information Sciences, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Mathematics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA · Department of Bioengineering, The University of Texas at Dallas, Richardson, TX 75080, USA +1

  14. An Integrated Hardware-Software Design for Low-Data Spatial Defect Detection in Robotic Visual Inspection with Hybrid Optoelectronic Neural Networks

    Jun 24, 2026Chaoqing Tang, Jiaxuan Li, Huanze Zhuang +4Robotic InspectionAnomaly Localization

    School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China · China Belt and Road Joint Lab on Measurement and Control, Wuhan, 430074, China · School of Electric and Electrical Engineering, Chongqing University of Technology, Chongqing, 400054, China +1

  15. Beyond Single Solution: Multi-Hypothesis Collaborative Deep Unfolding Network for Image Compressive Sensing

    Jun 2, 2026Wenxue Cui, Hualin Li, Yuhang Qin +3Image ReconstructionCompressed Sensing

    Harbin Institute of Technology, Harbin, China · Harbin Institute of Technology Suzhou Research Institute, Suzhou, China

  16. Physics-Aware Linearized ADMM and Its Unrolling

    Jun 1, 2026Satoshi Takabe, Shunta Arai, Tadashi WadayamaAlternating Direction Method of MultipliersAlgorithm Unrolling

    Department of Computer Science Institute of Science Tokyo Tokyo, Japan · Center for Advanced Intelligence Project RIKEN Tokyo, Japan · Department of Engineering Nagoya Institute of Technology Nagoya, Japan

  17. Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications

    May 22, 2026Roman Pavelkin, Luis A. Zavala-Mondragon, Christiaan G. A. Viviers +1Flow MatchingImage Reconstruction

    Eindhoven University of Technology, Eindhoven

  18. Deep Probabilistic Unfolding for Quantized Compressive Sensing

    May 12, 2026Gang Qu, Ping Wang, Siming Zheng +1Compressed SensingDeep Unfolding

    Westlake University, School of Engineering, Hangzhou, Zhejiang, China · Vivo Mobile Communication Co., Ltd., Hangzhou, Zhejiang, China.

  19. Active Learning for Conditional Generative Compressed Sensing

    May 6, 2026Alexander DeLise, Nick DexterCompressed SensingConditional Generative Modeling

    Department of Scientific Computing Department of Mathematics Florida State University · Department of Scientific Computing Florida State University

  20. CSGuard: Toward Forgery-Resistant Watermarking in Diffusion Models via Compressed Sensing Constraint

    May 2, 2026Jiewei Lai, Lan Zhang, Chen Tang +4Diffusion Model WatermarkingCompressed Sensing

    University of Science and Technology of China · Institute of Artificial Intelligence, Hefei Comprehensive National Science Center · Lenovo Research

  21. Online CS-based SAR Edge-Mapping

    Apr 21, 2026Conor Flynn, Radoslav Ivanov, Birsen YaziciEdge DetectionRemote Sensing

    Rensselaer Polytechnic Institute, Troy, New York, USA

  22. Information-Theoretic Optimization for Task-Adapted Compressed Sensing Magnetic Resonance Imaging

    Apr 14, 2026Xinyu Peng, Ziyang Zheng, Wenrui Dai +5Magnetic Resonance ImagingCompressed Sensing

    Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. · Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. · Department of Computer Science, City University of Hong Kong, Hong Kong SAR, China. +1

  23. Partially deterministic sampling for compressed sensing with denoising guarantees

    Apr 6, 2026Yaniv Plan, Matthew S. Scott, Ozgur YilmazCompressed SensingSparse Recovery

    Department of Mathematics, University of British Columbia, Vancouver, BC, Canada. · CNRS – PIMS International Research Laboratory

  24. Similarity of Neural Network Representations in Superposition

    Mar 31, 2026Sunny Liu, Habon Issa, André Longon +4Feature SuperpositionRepresentational Similarity Analysis

    Cold Spring Harbor Laboratory · UC San Diego · Anthropic +2

  25. Compressive sensing inspired self-supervised single-pixel imaging

    Mar 31, 2026Jijun Lu, Yifan Chen, Libang Chen +5Image ReconstructionComputational Imaging

    Institute of Artificial Intelligence (TeleAI), China Telecom, China · School of Integrated Circuits, Shanghai Jiao Tong University, Shanghai, China · College of Future Information Technology, Fudan University, Shanghai, China +3

  26. Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition

    Mar 23, 2026Lev Ayzenberg, Shady Abu-Hussein, Raja Giryes +1Magnetic Resonance ImagingAccelerated MRI Reconstruction

    Tel Aviv University, Faculty of Engineering, Tel Aviv, Israel · University of Cambridge, Department of Engineering, Cambridge, UK

  27. DSCSNet: A Dynamic Sparse Compression Sensing Network for Closely-Spaced Infrared Small Target Unmixing

    Mar 22, 2026Zhiyang Tang, Yiming Zhu, Ruimin Huang +4Infrared Small Target DetectionSparse Recovery

  28. Tunable Latent Generative Priors for Compressed Sensing and Inverse Problems

    Mar 7, 2026Sean Gunn, Jorio Cocola, Oliver De Candido +2Generative ModelingCompressed Sensing

    Northeastern University · Harvard University · Technical University of Munich +1

  29. InverseNet: Benchmarking Operator Mismatch and Calibration Across Compressive Imaging Modalities

    Mar 4, 2026Chengshuai Yang, Xin YuanComputational ImagingCompressed Sensing

    NextGen PlatformAI C Corp, USA · School of Engineering, Westlake University, Hangzhou, China

  30. Infinite dimensional generative sensing

    Mar 3, 2026Paolo Angella, Vito Paolo Pastore, Matteo SantacesariaCompressed SensingInverse Problems