WorldGen: From Text to Traversable and Interactive 3D Worlds
By: Dilin Wang , Hyunyoung Jung , Tom Monnier and more
Potential Business Impact:
Creates 3D worlds from your words.
We introduce WorldGen, a system that enables the automatic creation of large-scale, interactive 3D worlds directly from text prompts. Our approach transforms natural language descriptions into traversable, fully textured environments that can be immediately explored or edited within standard game engines. By combining LLM-driven scene layout reasoning, procedural generation, diffusion-based 3D generation, and object-aware scene decomposition, WorldGen bridges the gap between creative intent and functional virtual spaces, allowing creators to design coherent, navigable worlds without manual modeling or specialized 3D expertise. The system is fully modular and supports fine-grained control over layout, scale, and style, producing worlds that are geometrically consistent, visually rich, and efficient to render in real time. This work represents a step towards accessible, generative world-building at scale, advancing the frontier of 3D generative AI for applications in gaming, simulation, and immersive social environments.
Similar Papers
WorldGrow: Generating Infinite 3D World
CV and Pattern Recognition
Builds endless, realistic 3D worlds for games.
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Artificial Intelligence
Creates virtual worlds from text and images.
TRELLISWorld: Training-Free World Generation from Object Generators
CV and Pattern Recognition
Creates 3D worlds from text descriptions.