The paper introduces GeoSpatialBench, a benchmark for evaluating spatial reasoning and constrained spatial editing in multimodal large language models. It tests 28 spatial relations across GeoJSON and map image data from six cities, revealing that models perform better on GeoJSON than images and struggle with quantitative metric relations and editing tasks that must satisfy spatial constraints. The study highlights a significant gap between recognizing spatial relations and actively manipulating them in AI systems.
By Zheng Ren, Yanning Wang, Ziheng Huang, Fei Huang, Shiqi Wang, Ziqian Ye, Yang Yue
arXiv:2608.29483v1 Announce Type: cross
Abstract: Modern Vision-Language Models (VLMs) perform well above the human baseline in image geolocalization, a task critically important in disaster response...
By Arka Mukherjee, Soham Roy, Kartikeya Trivedi, Shreya Ghosh
The paper introduces ANASSA, an agentic AI orchestration framework designed for spatial intelligence in geographic information systems. It addresses gaps in current systems by integrating structured spatial reasoning, multi‑agent workflow orchestration, execution feedback, authoritative validation, provenance, uncertainty handling, and human decision authority. The architecture is detailed with eleven components across four layers, a six‑step Geospatial AI Cognitive Loop, cross‑component contracts, and governance mechanisms to ensure traceability, reproducibility, and accountability.
By Constantinos Papantoniou, Brian Hilton
arXiv:2608.24169v1 Announce Type: new
Abstract: 3D geometry editing is a critical yet labor-intensive part of the graphics pipeline, requiring artists to translate creative intent into precise operat...
By Bo Pang, Jiaqi Pan, Xiaocheng Zhang, Jiacheng Xu, Guoping Wang, Peng-Shuai Wang
arXiv:2608. 05248v1 Announce Type: new Abstract: Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets suitable for downstream editing and reuse.
By Chunchao Guo, Jinpeng Li, Yang Li, Zilong Huang
Geographic Information System (GIS) professionals rely on multi-step spatial analysis workflows to support decision-making in urban planning, disaster response, and environmental monitoring. The process is tedious, time-consuming, and error-prone.