Implicit Neural Representations

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Period ending 2026-09-14

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Period ending 2026-09-07

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A weekly snapshot of new work published in Implicit Neural Representations.

86 papers

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Direct Topology Tracking in Continuous Implicit Models
Sep 14, 2026Guanqun Ma, David Lenz, Kaiyuan Tang +4Implicit Neural Representations Spatiotemporal Representations
PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding
Sep 8, 2026Xiang Liu, Jinxiang Wang, Bin Chen +5Image Reconstruction Implicit Neural Representations
Observation-Conditioned Latent Energy Priors for Sparse Implicit Neural Shape Completion
Sep 3, 2026Paul Büschl, Ezequiel de la Rosa, Julia Wolleb +3Implicit Neural Representations 3D Priors
Prior-Guided Implicit Neural Representations for Single-Subject Diffusion MRI Super-Resolution
Sep 1, 2026Abdulkader Ghandoura, Marsil Zakour, William Consagra +1Magnetic Resonance Imaging Reconstruction Magnetic Resonance Imaging
Modelling Geographic Atrophy Progression using Implicit Neural Representations
Aug 11, 2026Simone Sarrocco, Paul Friedrich, Florentin Bieder +4Fundus Images Implicit Neural Representations
Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification
Aug 11, 2026Christos Tsepas, Chang Yan, Maximilian Fuetterer +2Cardiac Magnetic Resonance Imaging Physics-Informed Neural Network Framework
Depth-Aware Implicit Neural Representation Priors for 3D Gravity Inversion
Aug 9, 2026León Suarez-Rodriguez, Paul Goyes-Peñafiel, Javier Torres-Quintero +1Subsurface Scattering Implicit Neural Representations
Implicit representations are dead. Long live explicit primitives!
Aug 7, 2026Nil Stolt-Ansó, Maik Dannecker, Wenqi Huang +2Implicit Neural Representations Lifecycle-Managed Gaussian Mapping Strategy
Implicit Neural Representations for Multimodal Longitudinal Image Imputation and Interpolation
Aug 3, 2026Sina Wendrich, Lukas Förner, Zoe Reinke +5Magnetic Resonance Imaging Implicit Neural Representations
Weight-Space Mixture-of-Experts for Implicit Neural Representation Classification
Jul 31, 2026Stanislaw Janik, Michal ByraImplicit Neural Representations Weight-Space
SILVA Networks as Structured Implicit Layers and Vector Attractors via Dynamic Interaction Fields
Jul 31, 2026Jose Luis Lima de Jesus SilvaImplicit Neural Representations Complex Networks
A Query-Efficient Stochastic Volume Rendering Framework for Time-Varying Implicit Neural Volumes
Jul 30, 2026Alper Sahistan, Haichao Miao, Zhimin Li +3Neural Rendering Volume
SIREN: Towards End-to-End Extreme-Weather Early Warning with Experience-Grounded LLM Agents
Jul 27, 2026Hang Ni, Weijia Zhang, Fan Liu +2Weather Models Implicit Neural Representations
Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation
Jul 23, 2026Hyunmin Cho, Jaejun Yoo, Kyong Hwan JinImplicit Neural Representations Recurrent Neural Networks
From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data
Jul 23, 2026Weihan Zhang, Xuan Zhao, Yenwen Peng +2Implicit Neural Representations Spatiotemporal Representations
SIINR: Structurally Informed Implicit Neural Representations for super-resolution with uncertainty quantification of clinical quality diffusion MRI datasets
Jul 22, 2026Tom Hendriks, William Consagra, Anna Vilanova +2Implicit Neural Representations Anatomy
Fluid-SDF: Ultra-Lightweight and Editable Implicit Shape Representation via Differentiable Primitives
Jul 21, 2026Pradyumna Sripada, Chinmay Nadgir, Ksheer Agrawal +1Statistical Shape Model Real-Time Euclidean Signed Distance Mapping
Lossless-INR: Lossless Volumetric Implicit Neural Representations
Jul 20, 2026Kaiyuan Tang, Daniel Burke, Chaoli WangImplicit Neural Representations Volume
OmniStyle-INR: Universal and Multimodal Style Transfer for INRs
Jul 17, 2026Rafał Kajca, Michał Miziołek, Kornel Howil +2Photorealistic Style Transfer Cross-Modal Representations
Error Aware Distribution Prediction for Lightweight Implicit Neural Representations
Jul 11, 2026Zhimin Li, Jake D. Balla, Joshua A. LevineImplicit Neural Representations Distributional Learning
Compositional Motion Generation from Demonstration with Object-Centric Neural Fields
Jul 8, 2026Ahmet Ercan Tekden, Yasemin BekirogluMotion Primitives Motion Understanding and Generation
Learning-based Physics-Constrained Neural Kernel for Sound Field Estimation With Source-Position-Dependent Directional Weighting
Jul 7, 2026Mattia Marella, Shoichi KoyamaSound Source Localization Conventional Physics-Informed Neural Networks
Self-Supervised Implicit CEST Reconstruction via Physics-Informed Lorentz Encoding
Jul 7, 2026Dexuan Li, Yupeng Wu, Chenglong Wang +4Magnetic Resonance Imaging Reconstruction Implicit Neural Representations
Level-Crossing Density as a Mesh-Free High-Frequency Auxiliary Loss for Implicit Neural Representations
Jul 7, 2026Gunner Levi HoweNeural Fields Discretization
CertMix: Certified, Data-Efficient Metamaterial Design by Affine Mixing of Aligned Neural-Implicit Weight Spaces
Jul 5, 2026Yifan WangMetamaterials Continuum Dynamics
Enhancing Implicit Neural Representations with Image Feature Embedding for Unsupervised Cardiac Cine MRI Reconstruction
Jul 5, 2026Donghang Lyu, Marius Staring, Yiming Dong +3Implicit Neural Representations Magnetic Resonance Imaging
Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space
Jul 2, 2026Di Wu, Huan Liu, Zhixiang Chi +3Implicit Neural Representations Graph Neural Network Inference
Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation
Jul 1, 2026Landon Dyken, Sharmistha Chakrabarti, Nathan Debardeleben +4Volume 3D Gaussian
Learning Cardiac Motion Priors for Implicit Neural Representations
Jul 1, 2026Andrew Bell, George Webber, Andrew P King +3Cardiac Magnetic Resonance Imaging Implicit Neural Representations
Hyper-Network Neural Functional Maps for Unsupervised Robust 3D Shape Matching
Jun 29, 2026Dongliang Cao, Florian BernardNon-Rigid Shape Matching 3D Mapping
FiRe: Frequency Reparameterization as a Preconditioner for Periodic Implicit Neural Representations
Jun 28, 2026Harinandan Shukla, Rajarshi Verma, Jitin SinglaImplicit Neural Representations Reparameterization
Enhanced Neural Video Representation Compression across Extreme Complexity and Quality Scales
Jun 26, 2026Ho Man Kwan, Tianhao Peng, Fan Zhang +3Neural Video Compression Video Quality
ScaLe-INR: Scale and Learn Implicit Neural Representations
Jun 26, 2026Buwaneka Epakanda, Athulya Ratnayake, Pandula Thennakoon +4Implicit Neural Representations Multi-Scale Convolution
Calibrated Harmonic Overlaid Implicit Neural Representations for Multi-Dimensional Data
Jun 25, 2026Honghang Chen, Xiujun Zhang, Xiaoli Sun +1Implicit Neural Representations Hyperspectral Imaging
PatchINR: Patch-Based Implicit Neural Representations for Efficient and Scalable Inference
Jun 24, 2026Jiachen Ren, Wenyong Zhou, Taiqiang Wu +4Implicit Neural Representations Efficient Inference System
What's in an Earth Embedding? An Explainability Analysis of Location Encoders
Jun 23, 2026Livia Betti, Sebastian Ricke, Ivica Obadic +2Geospatial Implicit Neural Representations
Spectral Gating via Damped Oscillations for Adaptive Implicit Neural Representations
Jun 22, 2026Alex Costanzino, Pierluigi Zama Ramirez, Giuseppe Lisanti +1Implicit Neural Representations Oscillatory Dynamics
PaaF: Raising the perceived quality of INR-Based Image Compression
Jun 19, 2026Lorenzo Catania, Dario AllegraImage Compression Model and Context Compression
Deep Unrolled Networks in Representation Space Applied to MRI Reconstruction
Jun 19, 2026Efe Ilıcak, Baris Imre, Chloé Najac +4Magnetic Resonance Imaging Reconstruction Deep Unfolding Networks
Implicit Neural Representations of Individual Behavior
Jun 10, 2026Andrew Kang, Priya NarasimhanReinforcement-Learning Policies Behavioral Foundation Models
SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators
Jun 9, 2026Pengqing Shi, Jie Yin, Stephen Tierney +1Fourier Neural Operators Neural Operators
DD-INR: Dynamics-Driven Implicit Neural Representation for Accelerated Whole-Brain Functional MRI Reconstruction
Jun 9, 2026Qiaoxin Li, Caini Pan, Pierre-Antoine Comby +2Brain Magnetic Resonance Imaging Implicit Neural Representations
RAM: Reachability Across Morphologies
Jun 8, 2026Tim Walter, Xinyu Chen, Jonathan Külz +1Reachability Morphology
Beyond Neural Collapse: Task-Intrinsic Geometry Governs Neural Representations in Modular Arithmetic
Jun 8, 2026Hu Tan, Kuo Gai, Shihua ZhangNeural Collapse Neural Representations
Architecture Shapes Transfer Specificity in Implicit Neural Representations
Jun 5, 2026D Yang EngImplicit Neural Representations Multilayer Perceptrons
Jacobi-Anger Method for Deterministic Initialization in Implicit Neural Representation
Jun 4, 2026Mohammed Alsakabi, Kejia Hu, John M. Dolan +1Implicit Neural Representations Reparameterization
Texture-preserving implicit neural representation for Cone beam CT truncated reconstruction
Jun 4, 2026Genyuan Zhang, Junyao Wang, Haoran Lan +3Cone-Beam Computed Tomography Implicit Neural Representations
Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data
May 29, 2026Haoan Feng, Xin Xu, Leila De FlorianiImplicit Neural Representations Neural Representations
MoE-dqINR: A Unified Mixture-of-Experts Implicit Neural Representation Framework for Scan-Specific Dynamic and Quantitative MRI Reconstruction
May 29, 2026Yinzhe Wu, Fanwen Wang, Zhenxuan Zhang +3Magnetic Resonance Imaging Reconstruction Magnetic Resonance Imaging
Mind-Omni: A Unified Multi-Task Framework for Brain-Vision-Language Modeling via Discrete Diffusion
May 28, 2026Yizhuo Lu, Changde Du, Qingyu Shi +5Brain-Computer Interface Multi--Task Learning
Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
May 28, 2026Jieshi He, Puzhe Li, Yanan Sui +1Sensorimotor Experience Neural Recordings
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
May 27, 2026Jiachen Lu, Hailan Shanbhag, Haitham Al HassaniehGeometric Reconstruction Neural Radiance Fields
Trajectory Constraints for Imaging Inverse Problems
May 27, 2026Chaoyan Huang, Haijie Yuan, Saiprasad RavishankarIll-Posed Inverse Problem Inverse Problem
K-U-KAN: Koopman-Enhanced U-KAN for 3D Dental Reconstruction from a Single Panoramic X-ray Radiograph
May 24, 2026Bikram Keshari Parida, Abhijit Sen, Wonsang YouXray-Visual 3D Convolutional Neural Networks
NeurIPS: Neuro-anatomical Inductive Priors for Sphere-based Brain Decoding
May 24, 2026Sijin Yu, Zijiao Chen, Zhenyu Yang +7Fmri Anatomical Priors
ImplicitTerrainV2: Wavelet-Guided Spatially Adaptive Neural Terrain Representation
May 21, 2026Haoan Feng, Xin Xu, Leila De FlorianiImplicit Neural Representations Discrete Wavelet Transform
GLUT: 3D Gaussian Lookup Table for Continuous Color Transformation
May 19, 2026Danna Xue, David Serrano-Lozano, Shaolin Su +13D Gaussian Neural Rendering
Generative Motion In-betweening by Diffusion over Continuous Implicit Representations
May 12, 2026Shiyu Fan, Paul Henderson, Edmond S. L. HoLatent Diffusion Model Keyframe
Spectral Energy Centroid: a Metric for Improving Performance and Analyzing Spectral Bias in Implicit Neural Representations
May 12, 2026Tomasz Dądela, Adam Kania, Maciej Rut +1Implicit Neural Representations High-Fidelity
INFANiTE: Implicit Neural representation for high-resolution Fetal brain spatio-temporal Atlas learNing from clinical Thick-slicE MRI
May 11, 2026Xiaotian Hu, Mingxuan Liu, Hongjia Yang +10Implicit Neural Representations Spatiotemporal Representations

Sep 14, 2026 · cs.CGJ/K move · Enter open · S save

Direct Topology Tracking in Continuous Implicit Models

Guanqun Ma, David Lenz, Kaiyuan Tang, Hanqi Guo+3

We present a framework for tracking topological features directly within continuous implicit models. Such models, including implicit neural representations (INRs) and multivariate functional approximations (MFAs), are increasingly adopted to represent scientific data without the resolution constraints of discrete grids. They offer compact, smooth, and differentiable representations of complex fields, enabling new opportunities for high-performance data storage, reconstruction, and analysis. Given a continuous implicit model, our method tracks the evolution of critical points by querying the model and its derivatives, thereby eliminating the need to resample onto a grid. This approach enables faithful feature tracking while avoiding discretization-induced artifacts such as aliasing. We demonstrate the generality of our framework across a range of implicit representations, including analytic functions, MFAs, and INRs, and show that it produces smooth, coherent critical point trajectories. By enabling feature tracking directly on continuous representations, our method supports a new class of feature-driven visualization workflows centered on implicit models.

Implicit Neural Representations Spatiotemporal Representations Motion Model

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