Image Reconstruction

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Overview

Image reconstruction asks how to infer an image, volume, or dynamic scene from sparse, noisy, blurred, distorted, or indirectly encoded measurements, as in MRI, CT, microscopy, and computational photography. Methods range from analytic and variational solvers such as filtered back-projection, compressed sensing, total variation, and plug-and-play to unrolled networks, implicit neural fields, Gaussian representations, and diffusion or flow-matching priors, often enforcing consistency with the measurements. Current work emphasizes self-supervision and test-time adaptation when paired ground truth is scarce, faster inference and joint sensing-reconstruction, and testing on real or shifted acquisition conditions. A central tension is that generative priors can restore perceptual detail from severe undersampling but may invent structure, so fidelity, uncertainty, and downstream task performance matter alongside pixel-level metrics.

Latest papers

CardsList

297 papers33 papers in the last four weeks, up 3% on the four weeks before. 0.2% of all new papers.

  1. Training-Free Motion-Corrected 3D Brain MRI Reconstruction via Event-Guided References

    Nov 1, 2026Wei Jiang, Hongli Chen, Tianyi Ding +3Magnetic Resonance ImagingBrain MRI

    The University of Queensland, Brisbane, Australia · RMIT University, Melbourne, Australia · The University of Newcastle, Newcastle, Australia

  2. Learned optical compression for single-pixel quantitative phase imaging

    Nov 1, 2026Ary Portes, Yuntian Wang, Che-Yung Shen +2Computational ImagingImage Reconstruction

    Electrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA · Bioengineering Department, University of California, Los Angeles, CA, 90095, USA · California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, 90095, USA

  3. PSF-Informed Reconstruction: An Enhanced 2D Directional Filtered Backprojection Method for Cone-Beam Rotary Computed Laminography

    Oct 31, 2026Chengxiang Wang, Wei Yu, Baodong LiuImage ReconstructionComputed Tomography

    School of Mathematical Sciences, Chongqing Normal University, Chongqing, 401331, China · School of Biomedical Engineering and Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, China · Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China +2

  4. A generative foundation model for computational brain imaging

    Oct 30, 2026Yuting He, Xu Wen, Hongxing Lan +10Medical Imaging Foundation ModelsMedical Image Synthesis

    Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA. · School of Computer Science and Engineering, Southeast University, Nanjing, China. · Department of Computer and Information Science, University of Macau, Macau, China. +5

  5. MoETok: Sparse Expert Routing for 1D Visual Tokenizers

    Oct 30, 2026Jiahao Guo, Bao Tang, Haoxiang Cao +6Visual TokenizationDiscrete Visual Tokenization

    Huazhong University of Science and Technology · South China Normal University · KlingAI Research

  6. Bayesian PET Reconstruction with Learned Flow Matching Priors via Langevin Sampling

    Oct 30, 2026Hengjia Ran, Huafeng Liu, Bo ZhaoImage ReconstructionBayesian Inverse Problems

    ZJU-UIUC Institute, College of Information Science and Electronic Engineering, Zhejiang University, China · College of Biomedical Engineering and Instrument Science, Zhejiang University, China

  7. LoRe-MIM: Lost-or-Replaced Masked Image Modeling for Self-Supervised Representation Learning in Whole-Body PET/CT

    Oct 29, 2026Amartya Bhattacharya, Bashirul Azam Biswas, Biratal Raj Wagle +4Medical Image Representation LearningMultimodal SSL

    Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, NH 03755, USA · Department of Urology, Yale University, New Haven, CT, USA · Radiology, Dartmouth Hitchcock Medical Center, Lebanon, NH 03766 , USA +1

  8. EventSeeColor: Learning to Reconstruct Color from Monochrome Events

    Oct 29, 2026Chuanzhi Xu, Langyi Chen, Haoxian Zhou +5Image ColorizationEvent-Based Vision

    The University of Sydney · Beijing Technology and Business University

  9. Progressive Coupling Method for Diffusion Posterior Sampling in Ptychography

    Oct 28, 2026Yihan Qiu, Mingtao Huang, Tianyuan Li +2Image ReconstructionDiffusion Posterior Sampling

    Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China

  10. Broadband Mid-Wave Infrared Imaging Enabled by All-Silicon Hyperboloid Metalens

    Oct 21, 2026Rose Johnson, Debabrata Mandal, Zihao Zou +6Computational ImagingImage Reconstruction

    Department of Electrical and Computer Engineering, University of Washington, Seattle, WA 98195, USA. · Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517, USA. · Department of Physics, University of Washington, Seattle, WA 98195, USA.

  11. Forward-Only Learning for Shared-Kernel Wavelet Neural Networks without Backpropagation

    Oct 21, 2026Yongfei Guo, Xuan Sun, Ang Li +2Neural Network OptimizationForward-Forward Learning

    Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences · University of Chinese Academy of Sciences, Beijing, China · Chinese Academy of Sciences, Beijing, China

  12. Conditional Imaging for Privacy-Preserving Visual Sensing

    Oct 20, 2026Hengyu Lian, Debabrata Mandal, Anzhou Wen +3Computational ImagingImage Reconstruction

    Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA. · Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA.

  13. WildMAE: Structure-Aware Masked Autoencoding for Wildlife Image Reconstruction

    Oct 20, 2026Yicheng Zhang, Yujie Jin, Ke Zhang +1Masked Image ModelingMasked Autoencoders

    The Chinese University of Hong Kong, Shenzhen

  14. MoSAIK: Motion Search with Artificial Intelligence in K-space

    Oct 19, 2026Oscar Dabrowski, Abijith Jagannath, Frédéric Grouiller +1Magnetic Resonance ImagingBrain MRI

    CIBM Center for Biomedical Imaging, Geneva, Switzerland · Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland · Biomedical Imaging Group, École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland +1

  15. MRI Reconstruction Risk Estimation from Inference Dynamics

    Oct 19, 2026Tamir Shor, Alex BronsteinImage ReconstructionDistribution Shift

    Technion · Institute of Science and Technology Austria

  16. Do We Need Learned Targets? Classical Gradients as Supervision for 2D Gaussian Initialization

    Oct 19, 2026Kyungjune BaekNeural Network InitializationImage Reconstruction

    Sejong University, Seoul, Republic of Korea

  17. MPIG: Multi-angle Polarization Image Generation from a Single Polarization Observation

    Oct 18, 2026Jue Wang, Ruilin Huang, Liquan Shen +2Polarimetric ImagingImage Reconstruction

    School of Communication and Information Engineering, Shanghai University, Shanghai, China · Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, China

  18. Hexagonal Basis Projectors for Model-Based Iterative CT Reconstruction

    Oct 17, 2026Ke Chen, Alireza EntezariImage ReconstructionComputed Tomography

    University of Florida

  19. HiPredict: Predicting the missing HiRISE RED4 spectral channel with machine learning

    Oct 16, 2026Ardan Suphi, Ben Moseley, Gareth S Collins +2Image ReconstructionRemote Sensing

    Department of Earth Science and Engineering, Imperial College London, London, UK · Center for Space and Habitability, University of Bern, Bern, Switzerland · Institute of Space Research, German Aerospace Center (DLR), Berlin, Germany

  20. Untrained CNN and coefficient-space regularization for joint reconstruction in photoacoustic tomography

    Oct 16, 2026Alfio Bozi, Anwesa Dey, Souvik RoyPhotoacoustic TomographyImage Reconstruction

    Institut für Mathematik, Universität Würzburg, Emil-Fischer-Strasse 30, 97074 Würzburg, Germany. · Department of Mathematics, The University of Utah, John A. Widtsoe Building 155 S 1400 E, Salt Lake City, 84112, Utah, USA. · Department of Mathematics, The University of Texas at Arlington, 411 S. Nedderman Drive, Arlington, 76019, Texas, USA.

  21. Measurement-Adaptive Light-Cone Transform for Robust Non-Line-of-Sight Imaging

    Oct 16, 2026Lianfang Wang, Xueying Liu, Junnan Dong +4Image ReconstructionImage Inverse Problems

    School of Mathematical Sciences, Beijing Normal University, Beijing 100875, China · School of Physics, Nankai University, Tianjin 300071, China

  22. 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

  23. Dual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning

    Oct 13, 2026Qi Lai, YuTong HeSparse-View 4D ReconstructionImage Reconstruction

  24. Neuromorphic Decoding and Dynamical Image Reconstruction from Populations of Spiking Retinal Ganglion Cells

    Oct 12, 2026Ning Zhang, Arto NurmikkoNeural DecodingImage Reconstruction

    School of Engineering, Brown University, Providence, RI 02912 USA

  25. Dense Endoluminal Mapping and Localisation from Monocular Bronchoscopy

    Oct 12, 2026Salvatore Esposito, Matias Mattamala, Daniel Rebain +4Simultaneous Localization and MappingEndoscopic 3D Reconstruction

    University of Edinburgh · University of British Columbia

  26. OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation

    Oct 11, 2026Hebaixu Wang, Jing Zhang, Haonan Guo +3Multimodal GenerationUnified Multimodal Models

    Wuhan University & Zhongguancun Academy

  27. Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability

    Oct 9, 2026Haonan Wang, Yuchen Wang, Jingyu Lu +4fMRI-Based Visual DecodingNeural Decoding

    The Hong Kong University of Science and Technology · Shenzhen Loop Area Institute, Shenzhen, China

  28. Decoding Register Tokens Preserves Global Scene Details

    Oct 9, 2026David Jacob Drexlin, Julius Hense, Jonas DippelVision TransformerImage Reconstruction

    Machine Learning Group, Technische Universität Berlin · BIFOLD – Berlin Institute for the Foundations of Learning and Data Franklinstraße 28/29, 10587 Berlin, Germany · Aignostics, Germany

  29. RePrior: Measurement-Reconciled Prior Correction for Sparse-View CBCT Reconstruction

    Oct 8, 2026Mengrui Yin, Tianxingjian Ding, Wufan Zhao +2Image ReconstructionSparse-View CT Reconstruction

    University of Central Florida · The Hong Kong University of Science and Technology (Guangzhou) · Tampere University +1

  30. Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors

    Oct 7, 2026Dai Hai Nguyen, Duc Dung NguyenBayesian Inverse ProblemsMarkov Chain Monte Carlo

    Hokkaido University · Institute of Information Technology, VAST