Map2World: Generate Globally Consistent 3D Worlds From Segment Maps and Text
Map2World is a new framework for generating globally consistent 3D environments at scale from segment maps and text descriptions. The system uses a detail enhancer network to preserve fine-grained features without compromising scene-level coherence across expansive environments. The paper was published on HuggingFace Papers on May 4, 2026 and targets large-scale spatial simulation scenarios requiring environmental consistency.
Why It Matters
Advances generative 3D world creation beyond single-scene photorealism toward large-scale, semantically consistent environment generation — relevant for simulation, gaming, and embodied agent training datasets where global scene consistency is a prerequisite.