ABot-Earth 0.5: 生成式3D地球模型
阅读原文· arxiv.orgABot-Earth 0.5是一个生成式3D框架,利用3D高斯泼溅(3DGS)表示,从地理参考卫星图像合成大规模无缝3D环境。模型在真实城市重建数据集上训练,推理时仅依赖卫星图像,以每平方公里不到10分钟的速度生成逼真的几何与纹理。框架集成层次细节(LOD)结构,支持网页地图引擎上的实时交互可视化。该高保真模拟沙箱可缩小sim-to-real差距,服务于闭环无人机导航等具身AI应用,降低大规模3D重建的技术与财务门槛。
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.