{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/noisemaker-3d-comprehensive-framework-for","title":"Noisemaker 3D: Comprehensive Framework for Mesh Noise Generation","arxiv_id":null,"date":"2025-05-16","proceeding":"20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2025) 2025 5","authors":["Vladimir Mashurov","Vasilii Latonov","Anastasia Martynova","Natalia Semenova"],"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.","url_abs":"https://www.scitepress.org/Link.aspx?doi=10.5220/0013155800003912","url_pdf":"https://www.scitepress.org/Papers/2025/131558/131558.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"noisemaker-3d-comprehensive-framework-for","repo_url":"https://github.com/WLatonov/NoiseMaker3D","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"3d-mesh-denoising","task_name":"3D Mesh Denoising"},{"task_slug":"3d-noise-generation","task_name":"3D Noise Generation"},{"task_slug":"dataset-generation","task_name":"Dataset Generation"},{"task_slug":"denoising","task_name":"Denoising"}],"methods":[{"method_slug":null,"method_name":"Library"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}