Terrain Diffusion: A Diffusion-Based Framework for Infinite, Real-Time Terrain Generation

For decades, procedural worlds have been built on procedural noise functions such as Perlin noise, which are fast and infinite, yet fundamentally limited in realism and large-scale coherence.

We introduce Terrain Diffusion, a generative framework that bridges the fidelity of diffusion models with the properties that made procedural noise indispensable: seamless infinite extent, seed-consistency, and constant-time random access.

While noise functions remain near-instant, our framework outpaces orbital velocity by 9 times on a consumer GPU, enabling realistic terrain generation at interactive rates.

Together, these components position diffusion models as a practical, scalable foundation for the next generation of infinite virtual worlds.