Differentiable Voxelization of Surface Representations
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Abstract (arXiv)
Different shape representations facilitate different computations. Surface representations, in particular meshes, are often used for modeling, whereas volume representations are useful for spatial queries such as intersection or containment. Optimizing a surface representation based on a volumetric properties by gradient descent requires the derivatives of the volume relative to its bounding surface. We derive this gradient for winding numbers and show that it can be efficiently computed for volumetric values sampled on a regular grid (voxel representation) and surface parameters based on vertex sets (triangle meshes). This enables an efficient solution for a variety of optimization problems. We demonstrate the practical use of this approach at the examples of deforming meshes to resolve intersections, being manufacturable by cutting with a bandsaw from three directions, and creating shapes that are close to tiling 3D space.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 27 of its 71 references that are in the map. First posted on arXiv 16 Aug 2026.
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References · 27
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15 more
- 2023Flexible Isosurface Extraction for Gradient-Based Mesh Optimizationcited by 139
- 2020Coherent Reconstruction of Multiple Humans from a Single Imagecited by 136
- 2020MeshSDF: Differentiable Iso-Surface Extractioncited by 112
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- 2025Hand-Shadow Posercited by 4
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