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:2610.32728v1 Announce Type: new
Abstract: Generating editable 3D urban scenes from a single image requires detailed building assets with a coherent spatial arrangement. Occlusion and perspectiv...
By Haoran Gong, Jie Feng, Chenxu Wang
The paper introduces a framework that adapts a diffusion model to a target urban domain using only imperfect pseudo‑labels, enabling the generation of high‑fidelity, target‑aligned images from semantic maps of any synthetic dataset. By filtering poor generations, correcting image‑label misalignments, and standardising semantics, the method transforms low‑effort synthetic data into competitive real‑domain training sets. Experiments on five synthetic and two real datasets show up to +8.0 %pt mIoU improvement over state‑of‑the‑art translation methods, demonstrating that rapidly constructed synthetic datasets can match the performance of high‑effort, manually designed ones.
By Damjan Kal\v{s}an, Denis Zavadski, Tim K\"uchler, Haebom Lee, Stefan Roth, Carsten Rother
arXiv:2609.25578v1 Announce Type: new
Abstract: Urban-scale 3D reconstruction from satellite imagery supports disaster response, city monitoring, and geospatial digital twins, yet neural rendering me...
By Wentao Sun, Zhengsen Xu, Yiping Chen, John S. Zelek, Jonathan Li
Remote-sensing systems usually describe urban content with detection boxes, semantic masks, or vector boundaries. Such outputs locate classes and support image-plane scoring, yet they do not by themselves constitute an executable layout that retains object identities, typed relations, topology, and regeneration rules.
The paper introduces ArchWorld, a benchmark of 3D architectural landmarks with extensive geographic coverage and detailed metadata, to evaluate and analyze the performance of 3D foundation models (3DFMs). Through a comprehensive error analysis, the authors uncover geographic disparities in model accuracy that stem from variations in data representation, scene size, and region-specific architectural features. They propose an intervention scheme that enhances 3DFM performance while simultaneously reducing these geographic disparities.
By Nicky Kriplani, Yiwen Zhang, Angelina Wang, Hadar Averbuch-Elor