Matérn Noise for Triangulation-Agnostic Flow Matching on Meshes

Flow matching for mesh-based signal generation is made triangulation-agnostic via a Matérn noise distribution, allowing a single trained model to generalize across different mesh topologies. Solves a fundamental geometric ML problem where standard noise distributions break under remeshing. Relevant to 3D generative modeling and simulation pipelines.