Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation

Jelle Vermandere, Maarten Bassier, Maarten Vergauwen

2025

Abstract

This work aims to improve the geometry and texture completion of partially scanned 3D objects in indoor environments through the integration of a novel material prediction step. Completing segmented objects from these environments remains a significant challenge due to high occlusion levels and texture variance. State-of-the-art techniques in this field typically follow a two-step process, addressing geometry completion first, followed by texture completion. Although recent advancements have significantly improved geometry completion, texture completion continues to focus primarily on correcting minor defects or generating textures from scratch. This work highlights key limitations in existing completion techniques, such as the lack of material awareness, inadequate methods for fine detailing, and the limited availability of textured 3D object datasets. To address these gaps, a novel completion pipeline is proposed, enhancing both the geometry and texture completion processes. Experimental results demonstrate that the proposed method produces clearer material boundaries, particularly on scanned objects, and generalizes effectively even with synthetic training data.

Paper Citation

in Harvard Style

Vermandere J., Bassier M. and Vergauwen M. (2025). Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-728-3, SciTePress, pages 193-202. DOI: 10.5220/0013120000003912

in Bibtex Style

@conference{grapp25,
author={Jelle Vermandere and Maarten Bassier and Maarten Vergauwen},
title={Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2025},
pages={193-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013120000003912},
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 1: GRAPP
TI - Geometry and Texture Completion of Partially Scanned 3D Objects Through Material Segmentation
SN - 978-989-758-728-3
AU - Vermandere J.
AU - Bassier M.
AU - Vergauwen M.
PY - 2025
SP - 193
EP - 202
DO - 10.5220/0013120000003912
PB - SciTePress