Objects as volumes: A stochastic geometry view of opaque solids
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Abstract (arXiv)
We develop a theory for the representation of opaque solids as volumes. Starting from a stochastic representation of opaque solids as random indicator functions, we prove the conditions under which such solids can be modeled using exponential volumetric transport. We also derive expressions for the volumetric attenuation coefficient as a functional of the probability distributions of the underlying indicator functions. We generalize our theory to account for isotropic and anisotropic scattering at different parts of the solid, and for representations of opaque solids as stochastic implicit surfaces. We derive our volumetric representation from first principles, which ensures that it satisfies physical constraints such as reciprocity and reversibility. We use our theory to explain, compare, and correct previous volumetric representations, as well as propose meaningful extensions that lead to improved performance in 3D reconstruction tasks.
Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 25 of its 67 references that are in the map. First posted on arXiv 24 Dec 2023.
Builds on
25 of 67 references.
References · 25
- 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,041
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 1,964
- 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
- 2021Volume Rendering of Neural Implicit Surfacescited by 996
- 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 861
- 2020Implicit Geometric Regularization for Learning Shapescited by 710
- 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 700
- 2021UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstructioncited by 646
- 2023Nerfstudio: A Modular Framework for Neural Radiance Field Developmentcited by 600
- 2021Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fieldscited by 575
- 2016Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networkscited by 543
- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 490
13 more
- 2022MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstructioncited by 470
- 2019SAL: Sign Agnostic Learning of Shapes from Raw Datacited by 390
- 2021Neural RGB-D Surface Reconstructioncited by 313
- 2021Urban Radiance Fieldscited by 263
- 2022Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstructioncited by 212
- 2017Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistencycited by 177
- 2022NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priorscited by 125
- 2023Adaptive Shells for Efficient Neural Radiance Field Renderingcited by 69
- 2022Stochastic Poisson Surface Reconstructioncited by 13
- 2018A Radiative Transfer Framework for Spatially-Correlated Materialscited by 7
- 2023Neural Stochastic Screened Poisson Reconstructioncited by 7
- 2021An unbiased ray-marching transmittance estimatorcited by 5
- 2018A reciprocal formulation of non-exponential radiative transfer. 1: Sketch and motivationcited by 2
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Citing papers per year: 2024: 7; 2025: 2; 2026: 6.
15 papers.
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- 2024Geometry Field Splatting with Gaussian Surfelscited by 13
- 20243D Reconstruction with Fast Dipole Sumscited by 12
- 2024NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectricscited by 9
- 2025SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstructioncited by 7
- 2024ProbeSDF: Light Field Probes for Neural Surface Reconstructioncited by 6
- 2024SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splatscited by 5
- 2026Geometry-Grounded Gaussian Splattingcited by 5
- 2026From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussianscited by 4
- 2024Many-Worlds Inverse Renderingcited by 3
- 2025OMG: Opacity Matters in Material Modeling with Gaussian Splattingcited by 3
- 2026Confidence-Based Mesh Extraction from 3D Gaussianscited by 3
- 2026VG2GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformercited by 1
3 more
- 2026VoxelTTO: Voxel-Aligned Feed-Forward 3D Gaussian Splatting with Test-Time Optimization18 Sep 2026
- 2026Stochastic Signed Distance Processes18 Jun 2026
- 2026VG2GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer1 Jun 2026
- 2026From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians8 Apr 2026
- 2026Confidence-Based Mesh Extraction from 3D Gaussians25 Mar 2026
- 2026Geometry-Grounded Gaussian Splatting25 Jan 2026
- 2025SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction23 Jun 2025
- 2025OMG: Opacity Matters in Material Modeling with Gaussian Splatting16 Feb 2025
- 2024ProbeSDF: Light Field Probes for Neural Surface Reconstruction13 Dec 2024
- 2024Geometry Field Splatting with Gaussian Surfels26 Nov 2024
- 2024SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splats23 Nov 2024
- 2024Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction20 Nov 2024
3 more
- 2024NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectrics15 Nov 2024
- 2024Many-Worlds Inverse Rendering13 Aug 2024
- 20243D Reconstruction with Fast Dipole Sums27 May 2024
- 2024Geometry Field Splatting with Gaussian Surfelscited by 13
- 20243D Reconstruction with Fast Dipole Sumscited by 12
- 2024NeISF++: Neural Incident Stokes Field for Polarized Inverse Rendering of Conductors and Dielectricscited by 9
- 2025SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstructioncited by 7
- 2024ProbeSDF: Light Field Probes for Neural Surface Reconstructioncited by 6
- 2024SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splatscited by 5
- 2026Geometry-Grounded Gaussian Splattingcited by 5
- 2026From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussianscited by 4
- 2024Many-Worlds Inverse Renderingcited by 3
- 2025OMG: Opacity Matters in Material Modeling with Gaussian Splattingcited by 3
- 2026Confidence-Based Mesh Extraction from 3D Gaussianscited by 3
- 2026VG2GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformercited by 1
12 most cited of 15 All 15 (JSON)
- 2026VoxelTTO: Voxel-Aligned Feed-Forward 3D Gaussian Splatting with Test-Time Optimization18 Sep 2026
- 2026Stochastic Signed Distance Processes18 Jun 2026
- 2026VG2GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer1 Jun 2026
- 2026From Blobs to Spokes: High-Fidelity Surface Reconstruction via Oriented Gaussians8 Apr 2026
- 2026Confidence-Based Mesh Extraction from 3D Gaussians25 Mar 2026
- 2026Geometry-Grounded Gaussian Splatting25 Jan 2026
- 2025SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction23 Jun 2025
- 2025OMG: Opacity Matters in Material Modeling with Gaussian Splatting16 Feb 2025
- 2024ProbeSDF: Light Field Probes for Neural Surface Reconstruction13 Dec 2024
- 2024Geometry Field Splatting with Gaussian Surfels26 Nov 2024
- 2024SplatSDF: Boosting SDF-NeRF via Architecture-Level Fusion with Gaussian Splats23 Nov 2024
- 2024Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction20 Nov 2024
12 newest of 15 All 15 (JSON)