ABot-Earth 0.5: Generative 3D Earth Model
- Published
- Source
- arXiv
- Paper number
- 394
- Field
- Computer Vision
- arXiv ID
- 2606.09967
Key points
- It is the first large generative model to use 3D Gaussian Splatting (3DGS) directly and synthesize 3D scenes from satellite images alone.
- It generates scenes in less than 10 minutes per km2, which is dramatically more efficient than photogrammetry pipelines that take months or years.
- It combines satellite, aerial, and urban data sources, and it uses the ABot-3DGS reconstruction engine to build high-quality training data.
- Its native multi-LOD hierarchy streams trillions of Gaussian primitives in real time, from globe level down to street level on web maps.
- It covers 300 cities across 190 countries and scores better than Google Earth on aesthetics, although its precise geometry and texture are still weaker.
- It offers an editable platform through a hybrid approach that combines high-quality landmark reconstruction with synthesized backgrounds.
Paper links
External research summaries. These are not HDATF publications or measured product results.