Implicit Neural Representations

Also known as INR

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

CardsList

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

  1. Key-Embedded Privacy for Decentralized AI in Biomedical Omics

    Mar 30, 2026Rongyu Zhang, Hongyu Dong, Gaole Dai +13Privacy-Preserving MLFederated Learning

  2. 3-D Representations for Hyperspectral Flame Tomography

    Mar 29, 2026Nicolas Tricard, Zituo Chen, Sili DengComputed TomographyImplicit Neural Representations

  3. Neural Approximation of Generalized Voronoi Diagrams

    Mar 27, 2026Panagiotis Rigas, George Ioannakis, Ioannis EmirisNeural Surrogate ModelingImplicit Neural Representations

  4. Low-Rank-Modulated Functa: Exploring the Latent Space of Implicit Neural Representations for Interpretable Ultrasound Video Analysis

    Mar 26, 2026Julia Wolleb, Cristiana Baloescu, Alicia Durrer +2Medical Image Representation LearningImplicit Neural Representations

  5. Neural Surface and Reflectance Modelling from 3D Radar Data

    Mar 26, 2026Judith Treffler, Vladimír Kubelka, Henrik Andreasson +1Implicit Neural Representations3D Reconstruction

  6. Implicit neural representations for larval zebrafish brain microscopy: a reproducible benchmark on the MapZebrain atlas

    Mar 26, 2026Agnieszka PregowskaImplicit Neural RepresentationsImage Reconstruction

  7. GeoNDC: A Queryable Neural Data Cube for Planetary-Scale Earth Observation

    Mar 26, 2026Jianbo Qi, Mengyao Li, Baogui Jiang +3Geospatial Representation LearningRemote Sensing

  8. Biophysics-Enhanced Neural Representations for Patient-Specific Respiratory Motion Modeling

    Mar 23, 2026Jan Boysen, Hristina Uzunova, Heinz Handels +1Neural Surrogate ModelingMedical Image Analysis

  9. Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework

    Mar 23, 2026Ruihua Chen, Yisi Luo, Bangyu Wu +1Inverse ProblemsNeural Tangent Kernel

  10. High-fidelity Multi-view Normal Integration with Scale-encoded Neural Surface Representation

    Mar 20, 2026Tongyu Yang, Heng Guo, Yasuyuki Matsushita +3Multi-View 3D Reconstruction3D Mesh Reconstruction

  11. Volumetrically Consistent Implicit Atlas Learning via Neural Diffeomorphic Flow for Placenta MRI

    Mar 17, 2026Athena Taymourtash, S. Mazdak Abulnaga, Esra Abaci Turk +2Medical Image AnalysisMedical Image Registration

  12. High-Fidelity Compression of Seismic Velocity Models via SIREN Auto-Decoders

    Mar 15, 2026Caiyun Liu, Xiaoxue Luo, Jie XiongSinusoidal Representation NetworksModel Compression

  13. NOIR: Neural Operator mapping for Implicit Representations

    Mar 13, 2026Sidaty El Hadramy, Nazim Haouchine, Michael Wehrli +1Neural OperatorsMedical Image Synthesis

  14. GENIE: Gram-Eigenmode INR Editing with Closed-Form Geometry Updates

    Mar 12, 2026Samundra Karki, Adarsh Krishnamurthy, Baskar GanapathysubramanianImplicit Neural Representations3D Shape Editing

  15. CEI-3D: Collaborative Explicit-Implicit 3D Reconstruction for Realistic and Fine-Grained Object Editing

    Mar 12, 2026Yue Shi, Rui Shi, Yuxuan Xiong +23D Shape Editing3D Reconstruction

  16. Factorized Neural Implicit DMD for Parametric Dynamics

    Mar 11, 2026Siyuan Chen, Zhecheng Wang, Yixin Chen +4Dynamical SystemsNeural Surrogate Modeling

  17. OSCAR: Occupancy-based Shape Completion via Acoustic Neural Implicit Representations

    Mar 9, 2026Magdalena Wysocki, Kadir Burak Buldu, Miruna-Alexandra Gafencu +2Implicit Neural Representations3D Reconstruction

  18. SRNeRV: A Scale-wise Recursive Framework for Neural Video Representation

    Mar 9, 2026Jia Wang, Jun Zhu, Xinfeng ZhangParameter SharingImplicit Neural Representations

  19. SGI: Structured 2D Gaussians for Efficient and Compact Large Image Representation

    Mar 8, 2026Zixuan Pan, Kaiyuan Tang, Jun Xia +5Gaussian Splatting CompressionGaussian Splatting

  20. Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models

    Mar 8, 2026Zongyu Guo, Jiajun He, Zhaoyang Jia +6Generative Video CompressionVideo Compression

  21. WSI-INR: Implicit Neural Representations for Lesion Segmentation in Whole-Slide Images

    Mar 4, 2026Yunheng Wu, Wenqi Huang, Liangyi Wang +4Image SegmentationHistopathology Image Segmentation

  22. Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models

    Mar 2, 2026Haoyun Liu, Jianzhuang Zhao, Xinyuan Chang +11Vision-Language-Action ModelsVisuomotor Policy Learning

  23. Tackling multiphysics problems via finite element-guided physics-informed operator learning

    Mar 2, 2026Yusuke Yamazaki, Reza Najian Asl, Markus Apel +2Multiphysics SimulationPhysics-Informed Neural Operators

  24. Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features

    Mar 1, 2026Junbo Ke, Yangyang Xu, You-Wei Wen +1Implicit Neural RepresentationsFourier Feature Embeddings

  25. Hybrid-PCGC: Hybrid Point Cloud Geometry Compression Bridging Generalization-based Model and Implicit Neural Representation

    Feb 25, 2026Wenjie Huang, Qi Yang, Shuting Xia +3Point Cloud CompressionImplicit Neural Representations

  26. Learning Positive-Incentive Point Sampling in Neural Implicit Fields for Object Pose Estimation

    Feb 23, 2026Yifei Shi, Boyan Wan, Xin Xu +1Object Pose EstimationImplicit Neural Representations

  27. Neural Implicit Representations for 3D Synthetic Aperture Radar Imaging

    Feb 19, 2026Nithin Sugavanam, Emre ErtinSynthetic Aperture Radar3D Reconstruction

  28. TeCoNeRV: Leveraging Temporal Coherence for Compressible Neural Representations for Videos

    Feb 18, 2026Namitha Padmanabhan, Matthew Gwilliam, Abhinav ShrivastavaNeural Video CompressionImplicit Neural Representations