Agentic Building-Aware Satellite Gaussian Splatting for Auditable Urban DSM Reconstruction
Read the original on arXiv Computer Vision →The Flow has not summarised this story yet — read it at arXiv Computer Vision.
The Flow has not summarised this story yet — read it at arXiv Computer Vision.
This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of facade openings in 3D city models, producing directly usable CityGML-conform outputs. In contrast to existing ap...
arXiv:2608.29992v1 Announce Type: new Abstract: This paper presents an end-to-end, agent-driven pipeline for the LoD3 reconstruction of facade openings in 3D city models, producing directly usable Ci...
AstraLOD3 is a zero‑shot multimodal agentic system that reconstructs LOD3 building models using multi‑view images, calibrated cameras, a filtered sparse SfM point cloud, and a natural‑language specification. The Astra agent selects and executes computational steps in Python and Blender, achieving a mean FRDS of 0.9647 across 35 runs, including 24 benchmark buildings, with geometric agreement comparable to purpose‑built methods. Ablation studies show the impact of reconstruction guidance, evidence modalities, model configuration, and run‑to‑run variability, demonstrating that LOD3 reconstruction can be framed as a constrained agentic process rather than a fixed pipeline.
arXiv:2608. 14136v1 Announce Type: cross Abstract: Octree-based anchor Gaussian Splatting has emerged as a scalable representation for city-scale novel view synthesis, where multi-level anchors adaptively capture scene content from coarse building structures to fine architectural details.
arXiv:2609.36380v1 Announce Type: new Abstract: A 3D scene reconstructed from a single image is most useful when represented not as a rendering or a fixed 3D output, but as an explicit scene program...
arXiv:2609.24253v1 Announce Type: cross Abstract: 3D Gaussian Splatting (3DGS) provides high-fidelity scenes for large-scale embodied simulation, but constructing large-scale urban assets remains con...