This is the homepage for our academic project, called Elements, where you can find information about our research and the progress we have made so far. A paper describing Elements in depth, can be found here. The documentation of the project can be found here.
Elements introduces for the first time the power of the Entity-Component-System (ECS) with the versatility of Scenegraphs, in the context of Computer Graphics (CG), Deep Learning (DL) for Scientific Visualization (SciViz). It also aims to provide the basic tools to anyone that wants to be involved with basic Computer Graphics as well as advanced topics such as Geometric Deep Learning, Geometric Algebra and many many more.
Following a modern educational approach, all related packages are in the Python programming language.
If you have any questions or would like to learn more about our project, please don't hesitate to contact us.
If you are using the Elements project, please cite:
@inproceedings {Elements2023,
booktitle = {Eurographics 2023 - Education Papers},
editor = {Magana, Alejandra and Zara, Jiri},
title = {{Project Elements: A Computational Entity-component-system in a Scene-graph Pythonic Framework, for a Neural, Geometric Computer Graphics Curriculum}},
author = {Papagiannakis, George and Kamarianakis, Manos and Protopsaltis, Antonis and Angelis, Dimitris and Zikas, Paul},
year = {2023},
publisher = {The Eurographics Association},
ISSN = {1017-4656},
ISBN = {978-3-03868-210-3},
DOI = {10.2312/eged.20231015}
}