MAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language Models
MAGIC is a four-stage pipeline that turns a single natural-language prompt into a runnable multi-scene game project, addressing cross-scene consistency, in-scene navigability, and transition evaluation. It plans a shared transition-aware intermediate representation, specifies each scene while enforcing portal reachability with a flood-fill validator, generates scenes together with transition scripts, and produces a runnable project.
Development
- First ReportMAGIC: Transition-Aware Generation of Navigable Multi-Scene Game Worlds with Large Language ModelsarXiv cs.AI
- Current AssessmentThe system reduces manual authoring effort for multi-scene game worlds, which is a labor-intensive task in contemporary 3D game development.Agent Pulse · analysis
MAGIC is a prompt-to-project system that generates navigable multi-scene game worlds from a single prompt, solving cross-scene consistency, navigability, and transition evaluation using a four-stage pipeline with flood-fill validation.
MAGIC uses a flood-fill validator to enforce portal reachability, ensuring navigability across scenes. This is a novel approach to multi-scene generation that goes beyond single-scene LLM methods.
The system reduces manual authoring effort for multi-scene game worlds, which is a labor-intensive task in contemporary 3D game development.
MAGIC could lower production costs for game studios by automating multi-scene world generation, enabling faster prototyping and iteration.
Future work could extend MAGIC to handle more complex scene geometries or dynamic environments. A next signal would be integration with game engines like Unity or Unreal.