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WorldStream是一个开放式的3D世界模型，通过分层规划与流式编译实现地形无限扩展、处理开放语言指令并持久保存用户编辑。宏/微规划器在有类型的决策模型上生成结构化决策状态，并通过全局记录维护可复现的世界状态与状态化NPC。
A tweet promoting a terrain generation service covering the globe, suggesting users save their AI tokens for other tasks while it handles terrain data.
Talus is a 23M-parameter pixel-space diffusion model that generates 64x64 game terrain heightmaps conditioned on terrain type and user-selected measurable properties, trained from scratch on a single RTX 5060 and evaluated against a real-vs-real noise floor. It runs in the browser via ONNX Runtime Web on WebGPU (~3s per map) with Apache-2.0 open-sourced code and weights.
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.