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October 3, 2025Open Access

High Resolution UDF Meshing via Iterative Networks

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Our method produces significantly accurate and complete meshes compared to traditional approaches.
Experiments demonstrate improved recovery of complex geometries, especially in high-resolution settings.
Neighborhood information is incorporated through multiple passes for better surface extraction accuracy.
Iterative processing allows for the correction of errors and stabilization in challenging extraction regions.

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Iterative neural networks improve mesh quality from unsigned distance fields, suggesting enhanced detail capture.

Stella et al. (2025) studied this question.

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