terrain-generation

WorldClaw is an agentic coarse-to-fine framework that generates large-scale, explorable 3D open worlds from text prompts, using planning agents and terrain-conditioned composition to produce coherent global structure and editable instance-level assets.

Introduces InfiniteDiffusion, a training-free algorithm that enables diffusion models to generate unbounded, seed-consistent terrain with constant-time random access, bridging learned fidelity and procedural utility. The Terrain Diffusion framework demonstrates interactive-rate realistic terrain generation with Earth-scale dynamic ranges.

Terrain Diffusion introduces a diffusion-based successor to Perlin noise, using a novel InfiniteDiffusion algorithm to generate realistic, seamless, and boundless procedural worlds with constant-time random access.