InfiniteDiffusion: Bridging Learned Fidelity and Procedural Utility for Open-World Terrain Generation
Summary
InfiniteDiffusion presents a training-free approach to make diffusion models effectively unbounded and stateless, enabling open-world terrain generation with deterministic seeds and O(1) random access. The work combines diffusion fidelity with procedural noise properties and demonstrates Terrain Diffusion via a Minecraft mod and Unity demos, along with an open-source infinite-tensor framework.