Fast Tetrahedral Meshing in the Wild
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Abstract (arXiv)
We propose a new tetrahedral meshing method, fTetWild, to convert triangle soups into high-quality tetrahedral meshes. Our method builds on the TetWild algorithm, replacing the rational triangle insertion with a new incremental approach to construct and optimize the output mesh, interleaving triangle insertion and mesh optimization. Our approach makes it possible to maintain a valid floating-point tetrahedral mesh at all algorithmic stages, eliminating the need for costly constructions with rational numbers used by TetWild, while maintaining full robustness and similar output quality. This allows us to improve on TetWild in two ways. First, our algorithm is significantly faster, with running time comparable to less robust Delaunay-based tetrahedralization algorithms. Second, our algorithm is guaranteed to produce a valid tetrahedral mesh with floating-point vertex coordinates, while TetWild produces a valid mesh with rational coordinates which is not guaranteed to be valid after floating-point conversion. As a trade-off, our algorithm no longer guarantees that all input triangles are present in the output mesh, but in practice, as confirmed by our tests on the Thingi10k dataset, the algorithm always succeeds in inserting all input triangles.
Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Aug 2019.
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Citing papers per year: 2021: 2; 2022: 6; 2023: 6; 2024: 5; 2025: 8; 2026: 8.
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- 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
- 2023Adaptive Shells for Efficient Neural Radiance Field Renderingcited by 69
- 2021Learning Skeletal Articulations with Neural Blend Shapescited by 53
- 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulationcited by 49
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
- 2023NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Supportcited by 25
- 2025PAT3D: Physics-Augmented Text-to-3D Scene Generationcited by 16
- 2022Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical mapscited by 14
- 2023Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulationcited by 11
- 2022TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generationcited by 8
- 2024Robust Biharmonic Skinning Using Geometric Fieldscited by 6
- 2025PoissonNet: A Local-Global Approach for Learning on Surfacescited by 6
23 more
- 2025Neural Green's Functionscited by 6
- 2021Learning Body-Aware 3D Shape Generative Modelscited by 5
- 2025TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Modelcited by 4
- 2022Symmetric Volume Maps: Order-Invariant Volumetric Mesh Correspondence with Free Boundarycited by 2
- 2023Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Searchcited by 2
- 2022Smoothness and continuity of cost functionals for ECG mismatch computationcited by 1
- 2022Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplaciancited by 1
- 2023XVoxel-Based Parametric Design Optimization of Feature Modelscited by 1
- 2025CageNet: A Meta-Framework for Learning on Wild Meshescited by 1
- 2025MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Modelscited by 1
- 2025VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learningcited by 1
- 2026Deep Feature Deformation Weightscited by 1
- 2026GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problemscited by 1
- 2023Learning-Based Biharmonic Augmentation for Point Cloud Classificationcited by 0
- 2024M2DNeRF: Multi-Modal Decomposition NeRF with 3D Feature Fieldscited by 0
- 2024Deformable NeRF using Recursively Subdivided Tetrahedracited by 0
- 2025Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshingcited by 0
- 2026PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinningcited by 0
- 2026MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generationcited by 0
- 2026Mat'ern Noise for Triangulation-Agnostic Flow Matching on Meshescited by 0
- 2026Monte Carlo Steklov Operators for Large-Scale Geometry Processing in the Wildcited by 0
- 2026A Geodesic Cut-Cell Prior for Neural Skinningcited by 0
- 2026Neural Harmonic Measure Operatorcited by 0
- 2026Neural Harmonic Measure Operator28 Sep 2026
- 2026A Geodesic Cut-Cell Prior for Neural Skinning11 Aug 2026
- 2026GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems1 Jul 2026
- 2026Monte Carlo Steklov Operators for Large-Scale Geometry Processing in the Wild4 Jun 2026
- 2026Mat'ern Noise for Triangulation-Agnostic Flow Matching on Meshes19 May 2026
- 2026MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation9 May 2026
- 2026PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning24 Mar 2026
- 2026Deep Feature Deformation Weights18 Jan 2026
- 2025PAT3D: Physics-Augmented Text-to-3D Scene Generation26 Nov 2025
- 2025VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning25 Nov 2025
- 2025Neural Green's Functions2 Nov 2025
- 2025PoissonNet: A Local-Global Approach for Learning on Surfaces15 Oct 2025
23 more
- 2025MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models24 Sep 2025
- 2025TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model12 Sep 2025
- 2025Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing9 Jun 2025
- 2025CageNet: A Meta-Framework for Learning on Wild Meshes24 May 2025
- 2024Deformable NeRF using Recursively Subdivided Tetrahedra6 Oct 2024
- 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation21 Jun 2024
- 2024Robust Biharmonic Skinning Using Geometric Fields1 Jun 2024
- 2024M2DNeRF: Multi-Modal Decomposition NeRF with 3D Feature Fields8 May 2024
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenes22 Mar 2024
- 2023Adaptive Shells for Efficient Neural Radiance Field Rendering16 Nov 2023
- 2023Learning-Based Biharmonic Augmentation for Point Cloud Classification10 Nov 2023
- 2023Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation9 Oct 2023
- 2023NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support26 May 2023
- 2023Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Search10 Apr 2023
- 2023XVoxel-Based Parametric Design Optimization of Feature Models17 Mar 2023
- 2022TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generation11 Oct 2022
- 2022NeRF-Editing: Geometry Editing of Neural Radiance Fields10 May 2022
- 2022Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian29 Mar 2022
- 2022Symmetric Volume Maps: Order-Invariant Volumetric Mesh Correspondence with Free Boundary5 Feb 2022
- 2022Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps28 Jan 2022
- 2022Smoothness and continuity of cost functionals for ECG mismatch computation12 Jan 2022
- 2021Learning Body-Aware 3D Shape Generative Models13 Dec 2021
- 2021Learning Skeletal Articulations with Neural Blend Shapes6 May 2021
- 2025PAT3D: Physics-Augmented Text-to-3D Scene Generationcited by 16
- 2025PAT3D: Physics-Augmented Text-to-3D Scene Generation26 Nov 2025
- 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
- 2023Adaptive Shells for Efficient Neural Radiance Field Renderingcited by 69
- 2021Learning Skeletal Articulations with Neural Blend Shapescited by 53
- 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulationcited by 49
- 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
- 2023NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Supportcited by 25
- 2022Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical mapscited by 14
- 2023Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulationcited by 11
- 2022TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generationcited by 8
- 2024Robust Biharmonic Skinning Using Geometric Fieldscited by 6
- 2025PoissonNet: A Local-Global Approach for Learning on Surfacescited by 6
- 2025Neural Green's Functionscited by 6
12 most cited of 32 All 32 (JSON)
- 2026Neural Harmonic Measure Operator28 Sep 2026
- 2026A Geodesic Cut-Cell Prior for Neural Skinning11 Aug 2026
- 2026GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems1 Jul 2026
- 2026Monte Carlo Steklov Operators for Large-Scale Geometry Processing in the Wild4 Jun 2026
- 2026MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generation9 May 2026
- 2026PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning24 Mar 2026
- 2026Deep Feature Deformation Weights18 Jan 2026
- 2025VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning25 Nov 2025
- 2025Neural Green's Functions2 Nov 2025
- 2025PoissonNet: A Local-Global Approach for Learning on Surfaces15 Oct 2025
- 2025MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models24 Sep 2025
- 2025Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshing9 Jun 2025
12 newest of 32 All 32 (JSON)