UniSG: Unifying entity-component-systems, 3D & learning scenegraphs with GNNs for generative AI

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.