ABot-Earth 0.5: Generative 3D Earth Model
ABot-Earth 0.5 generates seamless 3D environments from satellite imagery via 3D Gaussian Splatting, synthesizing square kilometers in under 10 minutes with real-time web visualization and embodied AI navigation support.
Published Jun 8, 2026▲ 177 on Hugging FaceCode ★ 222arXiv ↗
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ABot-Earth 0.5 impresses with its rapid satellite-to-3DGS synthesis and real-time web LOD pipeline, but its unverified speed claims, missing baselines, and absent sim-to-real transfer experiments leave it an unproven build paper.
Abstract
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.