UniSG: Unifying entity-component-systems, 3D & learning scenegraphs with GNNs for generative AI
- Paul Zikas,
- Mike Kentros,
- Dimitris Angelis,
- Antonis Protopsaltis,
- Manos Kamarianakis,
- George Papagiannakis

Antonis Protopsaltis
University of Western Macedonia, OramaVR
Author ProfileManos Kamarianakis
FORTH-ICS, University of Crete, OramaVR
Corresponding Author:m.kamarianakis@gmail.com
Author ProfileGeorge Papagiannakis

FORTH-ICS, University of Crete, OramaVR
Author ProfileAbstract
We envision a no-code solution that generates new nodes, edges and features reflecting the creation of 3D models, scenes and even new behavioral steps through GNNs. To this end, we propose a novel Universal Scenegraph (UniSG), that unifies entity-component-systems, 3D and learning scenegraphs with GNNs to empower generative AI, and facilitate the creation of 3D scenes with embedded behavior, alleviating existing bottlenecks.