mlsanityData to 14 Oct 2026

Fast Tetrahedral Meshing in the Wild

arXiv 1908.03581 ↗First posted 9 Aug 2019cs.GRcited by 35

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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.

35 papers.

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  1. 2022NeRF-Editing: Geometry Editing of Neural Radiance Fieldscited by 217
  2. 2023Adaptive Shells for Efficient Neural Radiance Field Renderingcited by 69
  3. 2021Learning Skeletal Articulations with Neural Blend Shapescited by 53
  4. 2024GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulationcited by 49
  5. 2024Recent Trends in 3D Reconstruction of General Non-Rigid Scenescited by 28
  6. 2023NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Supportcited by 25
  7. 2025PAT3D: Physics-Augmented Text-to-3D Scene Generationcited by 16
  8. 2022Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical mapscited by 14
  9. 2023Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulationcited by 11
  10. 2022TetGAN: A Convolutional Neural Network for Tetrahedral Mesh Generationcited by 8
  11. 2024Robust Biharmonic Skinning Using Geometric Fieldscited by 6
  12. 2025PoissonNet: A Local-Global Approach for Learning on Surfacescited by 6
23 more
  1. 2025Neural Green's Functionscited by 6
  2. 2021Learning Body-Aware 3D Shape Generative Modelscited by 5
  3. 2025TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Modelcited by 4
  4. 2022Symmetric Volume Maps: Order-Invariant Volumetric Mesh Correspondence with Free Boundarycited by 2
  5. 2023Split, Merge, and Refine: Fitting Tight Bounding Boxes via Over-Segmentation and Iterative Searchcited by 2
  6. 2022Smoothness and continuity of cost functionals for ECG mismatch computationcited by 1
  7. 2022Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplaciancited by 1
  8. 2023XVoxel-Based Parametric Design Optimization of Feature Modelscited by 1
  9. 2025CageNet: A Meta-Framework for Learning on Wild Meshescited by 1
  10. 2025MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Modelscited by 1
  11. 2025VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learningcited by 1
  12. 2026Deep Feature Deformation Weightscited by 1
  13. 2026GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problemscited by 1
  14. 2023Learning-Based Biharmonic Augmentation for Point Cloud Classificationcited by 0
  15. 2024M2DNeRF: Multi-Modal Decomposition NeRF with 3D Feature Fieldscited by 0
  16. 2024Deformable NeRF using Recursively Subdivided Tetrahedracited by 0
  17. 2025Snap-and-tune: combining deep learning and test-time optimization for high-fidelity cardiovascular volumetric meshingcited by 0
  18. 2026PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinningcited by 0
  19. 2026MeshFIM: Local Low-Poly Mesh Editing via Fill-in-the-Middle Autoregressive Generationcited by 0
  20. 2026Mat'ern Noise for Triangulation-Agnostic Flow Matching on Meshescited by 0
  21. 2026Monte Carlo Steklov Operators for Large-Scale Geometry Processing in the Wildcited by 0
  22. 2026A Geodesic Cut-Cell Prior for Neural Skinningcited by 0
  23. 2026Neural Harmonic Measure Operatorcited by 0