Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising
Computer Vision and Pattern Recognition
2025-10-27 v2 Differential Geometry
Optimization and Control
Abstract
We propose a novel formulation for the second-order total generalized variation (TGV) of the normal vector on an oriented, triangular mesh embedded in . The normal vector is considered as a manifold-valued function, taking values on the unit sphere. Our formulation extends previous discrete TGV models for piecewise constant scalar data that utilize a Raviart-Thomas function space. To extend this formulation to the manifold setting, a tailor-made tangential Raviart-Thomas type finite element space is constructed in this work. The new regularizer is compared to existing methods in mesh denoising experiments.
Keywords
Cite
@article{arxiv.2507.13530,
title = {Total Generalized Variation of the Normal Vector Field and Applications to Mesh Denoising},
author = {Lukas Baumgärtner and Ronny Bergmann and Roland Herzog and Stephan Schmidt and Manuel Weiß},
journal= {arXiv preprint arXiv:2507.13530},
year = {2025}
}