Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations

We present a fast and robust method for computing an injective parameterization with low isometric distortion for disk‐like triangular meshes. Harmonic function‐based methods, with their rich mathematical foundation, are widely used. Harmonic maps are particularly valuable for ensuring injectivity u...

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Bibliographic Details
Published in:	Computer graphics forum Vol. 44; no. 2
Main Authors:	Fargion, G., Weber, O.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2025
Subjects:	Artificial neural networks Boundary conditions CCS Concepts Computational efficiency Computing costs Computing methodologies → Machine learning algorithms Distortion Harmonic functions Integral calculus Jacobians Machine learning Mesh geometry models Neural networks Parameterization Poisson equation Subspaces Tensors
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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