Implicit Neural Representations

Also known as INR

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Overview

Implicit neural representations (INRs) learn continuous functions from coordinates to values, such as image colors, 3D geometry, motion, or physical measurements. Common approaches use coordinate-based MLPs with sinusoidal or Fourier features, multiresolution grids, tri-planes, or hybrid designs that combine neural decoders with explicit spatial structure. Researchers use them for reconstruction, compression, super-resolution, rendering, and scientific inverse problems, where continuous querying can handle irregular samples and varying resolutions. A central challenge is balancing detail and accuracy against fitting time, memory, and query cost; adaptive representations and learned priors help, but generalization remains task-dependent, and explicit methods can sometimes be more efficient or accurate.

Latest papers

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188 papers25 papers in the last four weeks, up 4% on the four weeks before. 0.1% of all new papers.

  1. Frequency-Adaptive Gaussian Grids for Efficient Image Representation

    Oct 27, 2026Anatolii Evdokimov, Stavros Diolatzis, Bingxuan Li +3Implicit Neural RepresentationsLearned Image Compression

    New York University · Intel Corporation

  2. Meta-Initialization of Implicit Neural Representations to Accelerate Deformable Medical Image Registration

    Oct 27, 2026Marat O. Zinovev, Dmitry V. SorokinDeformable Image RegistrationImplicit Neural Representations

    Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia

  3. HEALPix-Based Implicit Neural Compression of Omnidirectional Images

    Oct 23, 2026Yulong Cheng, Youneng Bao, Junfeng Zhou +2Learned Image CompressionImplicit Neural Representations

    Harbin Institute of Technology, Shenzhen, China · Shenzhen University, Shenzhen, China

  4. Spectrally optimized implicit neural representations mitigate acquisition-related image quality trade-offs in intracranial 4D Flow MRI

    Oct 23, 2026Oliver Welin Odeback, Nerea González-Aranceta, Sebastián Jofre +12Medical Image Super-ResolutionMagnetic Resonance Imaging

    Dept. Molecular Medicine and Surgery, Karolinska Institutet, Karolinska Universitetssjukhuset Solna (L1:00), Stockholm, 171 76, Sweden. · Department of Physics, University of Greifswald, Felix-Hausdorff-Str. 6, Greifswald, 174 89, Germany. · Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, Santiago, 7820436, Chile. +7

  5. Implicit Neural Representations for Variational Problems on Graphons

    Oct 23, 2026Taeyoung Kim, Jineon Baek, Joonkyung Lee +1Graphon TheoryLarge Deviation Principles

    School of Computing, KAIST · School of Computational Sciences, KIAS · June E Huh Center for Mathematical Challenges, KIAS

  6. Progressive Permutation Alignment with Temperature-Controlled Spectral Sharpening

    Oct 21, 2026Yuta Horioka, Naoya Chiba, Yuki UranishiImplicit Neural Representations

    The University of Osaka

  7. inr2action: Encoding Robot Episodes as Neural Implicit Representations for Recall and Action

    Oct 20, 2026Leann Alhashishi, Christos Margadji, Sebastian William PattinsonLong-Term Memory for Embodied AgentsMemory-Augmented Agents

    Institute for Manufacturing, Department of Engineering, University of Cambridge · Matta Labs, 77 East Road, London, United Kingdom

  8. Neural Implicit Energy Optimization for LiDAR Mapping

    Oct 20, 2026Hrishikesh Viswanath, Md Ashiqur Rahman, Chi Lin +2Large-Scale 3D ReconstructionPoint Cloud Surface Reconstruction

    Purdue University, USA · DEVCOM, Army Research Laboratory, USA

  9. LUMINR: Intensity-conditioned Meta-learned INRs for Accelerated Medical Image Registration

    Oct 16, 2026Damian Rynczak, Marek WodzinskiMedical Image RegistrationDeformable Image Registration

    AGH University of Krakow · Sano - Centre for Computational Personalised Medicine, International Research Foundation

  10. TriINR: Unsupervised Atmospheric Turbulence Mitigation with Triple Implicit Neural Representations

    Oct 16, 2026Yuka Ogino, Rikuto Otsuka, Yuho Shoji +3Unsupervised Image RestorationAtmospheric Turbulence Mitigation

    NEC Corporation, Japan

  11. Implicit Neural Models for Direct Multi-Shell Diffusion MRI Signal Estimation

    Oct 16, 2026Sanna Persson, Fabian Leander Sinzinger, Christoffer Olsson +1Diffusion MRIImplicit Neural Representations

    Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden

  12. Temporal Periodic Image Registration with Implicit Neural Representations

    Oct 15, 2026Mathias Lowes, Kristine Aavild Sørensen, Maxime Sermesant +1Deformable Image RegistrationMedical Image Registration

    Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark · Novo Nordisk A/S, Copenhagen, Denmark · Inria Université Côte d’Azur, Nice, France

  13. MicroSDF: Microfacet-Driven Hybrid Neural SDFs for Mixed-Reflectance Surface Reconstruction

    Oct 14, 2026Lejia Ye, Yuhua Xu, Yulan Guo +23D ReconstructionImplicit Neural Representations

    the School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, China · Orbbec Inc., Orbbec Technology Building, No. 88 High-tech North 1st Road, Nanshan District, Shenzhen 518052, China · the School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen Campus, Shenzhen 518107, China +1

  14. Surface Reconstruction from Range Scans Under Visibility Constraints

    Oct 13, 2026Gabriel Lenain, Edmond Boyer, Jean Ponce3D ReconstructionPoint Cloud Surface Reconstruction

    Inria Paris · École normale supérieure - PSL · Univ. Grenoble Alpes, Inria +2

  15. Learning Reachability-Based Safety Representations for Real-Time Robot Navigation in Unknown and Dynamic Environments

    Oct 12, 2026Bojan DerajićSafe Robot NavigationDynamic Obstacle Avoidance

    Faculty IV – Electrical Engineering and Computer Science of Technische Universität Berlin

  16. Refined Grid Sampling for Efficient Implicit Neural Representations of Large-Scale Scientific Data

    Oct 9, 2026Guang Zhao, Xihaier Luo, Sean McCue +5Implicit Neural RepresentationsAdaptive Sampling

    Brookhaven National Laboratory Upton, NY 11973, USA · University of California San Diego La Jolla, CA 92093, USA · Los Alamos National Laboratory Los Alamos, NM 87545, USA

  17. OX-NeRF: 3D X-ray Tomography Reconstruction from Sparse Views Using Implicit Neural Representation

    Oct 8, 2026Thomas Welsch, Min-Hsin Tu, David J. Chapman +1Sparse-View CT ReconstructionNeural Radiance Fields

    Department of Engineering Science University of Oxford Oxford, United Kingdom

  18. Spatial-Frequency-Aware Implicit Neural Representation of Multidimensional Signals via MLP-KAN Fusion

    Oct 8, 2026Wen Yan, Ligen Shi, Jun Qiu +3Implicit Neural RepresentationsSpectral Bias

    Institute of Computational Imaging, Beijing Information Science and Technology University, Beijing 102206, China · College of Computer Science (College of Software), Inner Mongolia University, Hohhot 010021, China · Research Center for Spatiotemporal Intelligence, Inner Mongolia University, Hohhot 010021, China

  19. StyleFields: Multi-Scale AdaIN-Modulated Implicit SDFs for Coarse-to-Fine 3D Shape Reconstruction and Editing

    Oct 6, 2026Ehsan Garaaghaji, Nicolas Talabot, Pascal Fua +13D ReconstructionImplicit Neural Representations

    Bilkent University, Ankara, Türkiye · École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  20. Optimization Encoders: Rethinking Second-Order Meta-Learning for Neural Fields

    Oct 6, 2026Rudolf L. M. van Herten, Soufiane Ben Haddou, Rachit Saluja +1Implicit Neural RepresentationsMeta-Learning

    Weill Cornell Medicine · Cornell Tech · Amsterdam UMC

  21. Learnable Spectral Activations

    Oct 5, 2026Tamir Shor, Or Litany, Alex BronsteinImplicit Neural Representations

    Technion – Israel Institute of Technology, Haifa, Israel · NVIDIA · Institute of Science and Technology Austria (ISTA), Klosterneuburg, Austria

  22. Neural Fields Encode Adaptation Geometry

    Oct 5, 2026Prateik Sinha, Stefania DrugaImplicit Neural RepresentationsNeural Network Training Dynamics

    Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213, USA · Sakana AI Tokyo, Japan

  23. Learning Subject-Specific Anatomical Representations via Manifold Expansion: Application to Accelerated Multi-Contrast MRI

    Oct 2, 2026Ruimin Feng, Wanyu Bian, Albert Jang +2Accelerated MRI ReconstructionMagnetic Resonance Imaging

    Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States · Harvard Medical School, Boston, Massachusetts, United States · Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, United States

  24. Efficient Neural Field Learning via Adaptive Coverage and Focused Sampling

    Oct 1, 2026Guang Zhao, Xihaier Luo, Huan-Hsin Tseng +4Adaptive SamplingImplicit Neural Representations

    Computing and Data Sciences, Brookhaven National Laboratory Upton, NY 11973, USA

  25. HIGS: Hierarchical Implicit Grids for Joint Geometric and Semantic Scene Understanding

    Sep 29, 2026Hanwen Cao, Wenqiang Wu, Kuang-Ting Tu +5Implicit Neural RepresentationsHierarchical Representation Learning

    University of California San Diego, La Jolla, CA, USA · Southern University of Science and Technology, Shenzhen, Guangzhou, China · Norwegian University of Science and Technology, Trondheim, Norway +2

  26. Planetary Feature Fields are Scalable Earth Representations

    Sep 29, 2026Arjun Rao, Sebastian Loeschcke, Anthony Fuller +3Implicit Neural RepresentationsGeospatial Representation Learning

    University of British Columbia · University of Copenhagen · Carleton University +2

  27. SIFARI: Self-Supervised Interferometric Fitting for Astronomical Radio Imaging

    Sep 28, 2026Shunyuan Mao, Andrea Isella, Paris Perdikaris +2Radio AstronomyImage Reconstruction

    Department of Physics and Astronomy, Rice University, 6100 Main St, Houston, TX 77005, USA · Rice Space Institute, Rice University, 6100 Main St, Houston, TX 77005, USA · National Radio Astronomy Observatory, 520 Edgemont Road, Charlottesville, VA 22903, USA +4

  28. Hierarchical Frequency-Domain Compression of Implicit Geometric Representations for Large-Scale Point Clouds

    Sep 26, 2026Manlin Yao, Jiabin Liu, Guan Wang +2Point Cloud CompressionImplicit Neural Representations

  29. How Far Can INRs Go? Cross-Domain Parameter-efficient INR-Based Semantic Segmentation for Brain MRI

    Sep 25, 2026Ziyao Shang, Pouya Sadeghi, Letian Jiang +2Semantic SegmentationImplicit Neural Representations

    Department of Systems Design Engineering University of Waterloo · David R. Cheriton School of Computer Science University of Waterloo · Department of Management Science and Engineering University of Waterloo

  30. Implicit Neural Representation for Hyperspectral Video Compression

    Sep 25, 2026Alfredo Scalera, Paul Murray, Jaime ZabalzaVideo CompressionNeural Video Compression

    University of Strathclyde Department of Electronic & Electrical Engineering Glasgow, UK