Deep Learning on Meshes and Point Clouds
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Date
2026
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Data-driven algorithms have proven valuable for many tasks, with high-profile success in image understanding and synthesis and language modelling. In this course, we look at how such algorithms can be used for data on curved surfaces. Our aim is to give researchers the required background to use such algorithms in an informed way in their own research. In the first part, we consider the types of data and tasks that are relevant for mesh- and point-cloud surfaces, the requirements on our algorithms (e.g., scaling and generalization over the representation), and review the state-of-the-art for how these requirements can be met. In the second part, we will give a hands-on tutorial on setting up a neural network for learning a simple task on 3D meshes.
Description
@inproceedings{10.2312:egt.20261000,
booktitle = {Eurographics 2026 - Tutorials},
editor = {},
title = {{Deep Learning on Meshes and Point Clouds}},
author = {Wiersma, Ruben},
year = {2026},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-267-7},
DOI = {10.2312/egt.20261000}
}