用卫星图快速生成高精度3D地球模型，支持实时交互
ABot-Earth 0.5: Generative 3D Earth Model
- 直接基于3D高斯泼溅构建生成模型，从卫星图合成3D场景
- 每平方公里生成时间低于10分钟，还原度极高
- 适合无人机导航等具身智能应用，低成本易部署
我们提出ABot-Earth 0.5，一个生成式3D框架，可从广泛存在的地理参考卫星影像中合成大范围、无缝的3D环境。该框架采用新型生成模型，直接以3D高斯泼溅（3DGS）表示法建模，训练数据为多种真实城市重建结果，学习生成逼真的几何结构与纹理。推理时仅需卫星影像作为条件，每平方公里生成时间低于10分钟，且呈现极高的真实感。系统集成分层细节级别（LOD）结构，可在基于网页的地图引擎中实现实时交互可视化。该高保真仿真沙盒有效缩小了模拟到现实的域差距，支持闭环无人机导航等关键下游具身智能应用。通过提供超低成本、高效率的解决方案，显著降低大规模3D重建的技术与经济门槛，推动全球数字地球可视化发展。
原文摘要 · Abstract (English)
We present ABot-Earth 0.5, a generative 3D framework designed to synthesize vast, seamless 3D environments from ubiquitous, geospatially referenced satellite imagery. To achieve this, we propose a novel generative model formulated directly with the 3D Gaussian Splatting (3DGS) representation. The model is trained on a diverse corpus of existing real-world urban reconstructions, learning to generate realistic geometry and textures. At inference, it synthesizes novel 3D scenes conditioned solely on satellite imagery at a scalable rate of under 10 minutes per square kilometer, while demonstrating exceptional realism. The framework is designed for accessibility, with integrated hierarchical level-of-detail (LOD) structures that permit real-time, interactive visualization on web-based map engines. This high-fidelity simulation sandbox effectively mitigates the sim-to-real domain gap, enabling critical downstream Embodied AI applications like closed-loop UAV navigation. By providing an ultra-low-cost and high-efficiency solution, ABot-Earth 0.5 significantly lowers the technical and financial barriers to large-scale 3D reconstruction and empowers the future of global digital earth visualization.
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