Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation

Vladimir Mashurov, Vladimir Mashurov, Vasilii Latonov, Anastasia Martynova, Anastasia Martynova, Natalia Semenova, Natalia Semenova

2025

Abstract

In this article, we present a comprehensive library for generating node and topological noise in meshes. The library provides a versatile tool for creating corrupted mesh datasets, which are essential for learning-based denoising algorithms. Our main contributions include cluster and patch noise generation techniques for mesh topology corruption. Cluster generation supports two modes: separated and merged clusters. We also compare the node noise generated by the library to real noise from a scanned object dataset. Finally, we create a noisy object dataset using the library and test it with filter-based and machine learning-based denoising methods.

Paper Citation

in Harvard Style

Mashurov V., Latonov V., Martynova A. and Semenova N. (2025). Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 667-674. DOI: 10.5220/0013155800003912

in Bibtex Style

@conference{visapp25,
author={Vladimir Mashurov and Vasilii Latonov and Anastasia Martynova and Natalia Semenova},
title={Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={667-674},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013155800003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation
SN - 978-989-758-728-3
AU - Mashurov V.
AU - Latonov V.
AU - Martynova A.
AU - Semenova N.
PY - 2025
SP - 667
EP - 674
DO - 10.5220/0013155800003912
PB - SciTePress