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Authors: Vladimir Mashurov 1 ; 2 ; Vasilii Latonov 2 ; Anastasia Martynova 2 ; 3 and Natalia Semenova 2 ; 4

Affiliations: 1 ITMO University, Kronverkskiy Lane 49, Saint-Petersburg, 197101, Russia ; 2 Sberbank PJSC, 19 Vavilova St., Moscow 117312, Russia ; 3 HSE University, 20 Myasnitskaya St., Moscow 101000, Russia ; 4 AIRI, Kutuzovsky prospect 32 bld 1, Moscow 121170, Russia

Keyword(s): Mesh Denoising, 3D Noise Generation, Synthetic Dataset, Topological and Node Noise.

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.

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 667-674. DOI: 10.5220/0013155800003912

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Mashurov, V.
AU - Latonov, V.
AU - Martynova, A.
AU - Semenova, N.
PY - 2025
SP - 667
EP - 674
DO - 10.5220/0013155800003912
PB - SciTePress

- Science and Technology Publications, Lda.
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