mlsanityData to 7 Oct 2026

Neural Implicit Surface Reconstruction using Imaging Sonar

arXiv 2209.08221 ↗First posted 17 Sep 2022cs.CV cs.ROcited by 19

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Abstract (arXiv)

We present a technique for dense 3D reconstruction of objects using an imaging sonar, also known as forward-looking sonar (FLS). Compared to previous methods that model the scene geometry as point clouds or volumetric grids, we represent the geometry as a neural implicit function. Additionally, given such a representation, we use a differentiable volumetric renderer that models the propagation of acoustic waves to synthesize imaging sonar measurements. We perform experiments on real and synthetic datasets and show that our algorithm reconstructs high-fidelity surface geometry from multi-view FLS images at much higher quality than was possible with previous techniques and without suffering from their associated memory overhead.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 11 of its 51 references that are in the map. First posted on arXiv 17 Sep 2022.

Builds on

11 of 51 references.

References · 11

  1. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  2. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,701
  3. 2022Block-NeRF: Scalable Large Scene Neural View Synthesiscited by 720
  4. 2020Implicit Geometric Regularization for Learning Shapescited by 707
  5. 2022ReLU Fields: The Little Non-linearity That Couldcited by 87
  6. 2021Non-line-of-Sight Imaging via Neural Transient Fieldscited by 41
  7. 2020Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstructioncited by 6
  8. 2021An unbiased ray-marching transmittance estimatorcited by 5
  9. 2022Spatial Acoustic Projection for 3D Imaging Sonar Reconstructioncited by 4
  10. 2018Robust Model-Aided Inertial Localization for Autonomous Underwater Vehiclescited by 2
  11. 2021Predictive 3D Sonar Mapping of Underwater Environments via Object-specific Bayesian Inferencecited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 3; 2024: 5; 2025: 5; 2026: 6.

19 papers.

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  1. 2023Neural LiDAR Fields for Novel View Synthesiscited by 65
  2. 2024DART: Implicit Doppler Tomography for Radar Novel View Synthesiscited by 19
  3. 2024Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radarcited by 18
  4. 2023Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonarcited by 16
  5. 2024Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusioncited by 16
  6. 2025RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenescited by 15
  7. 2024AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusioncited by 13
  8. 2025SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splattingcited by 5
  9. 2025Acoustic Neural 3D Reconstruction Under Pose Driftcited by 3
  10. 2025CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representationcited by 2
  11. 2026RadarSim: Simulating Single-Chip Radar via Multimodal Neural Fieldscited by 2
  12. 2025SH-SAS: An Implicit Neural Representation for Complex Spherical-Harmonic Scattering Fields for 3D Synthetic Aperture Sonarcited by 1
7 more
  1. 2026NAS-GS: Noise-Aware Sonar Gaussian Splattingcited by 1
  2. 2026TouchAnything: Diffusion-Guided 3D Reconstruction from Sparse Robot Touchescited by 1
  3. 2023Motion Degeneracy in Self-supervised Learning of Elevation Angle Estimation for 2D Forward-Looking Sonarcited by 0
  4. 2024VAIR: Visuo-Acoustic Implicit Representations for Low-Cost, Multi-Modal Transparent Surface Reconstruction in Indoor Scenescited by 0
  5. 2026Single View Seafloor Recovery from Imaging Sonar via Differentiable Renderingcited by 0
  6. 2026Neural Radiated-Noise Fields for Unmanned Underwater Vehicle Noise Spectrum Prediction in Three-Dimensional Scenescited by 0
  7. 2026Adapting Vision Foundation Models to Acoustics for Pose-Free 3D Sonar Reconstructioncited by 0