Jul 2026· Signal Processing and Communications Applications Conference· pp. 1-4· 0 citations· 9 references
Abstract
In emergency scenarios such as fires or earthquakes, rapid and accurate situational awareness of the scene is critical for decision-making processes. Operators may inaccurately visualize descriptions received from victims under stress. In this study, a web-based system is proposed that instantly converts natural language environment descriptions into three-dimensional (3D) scene visualizations. Although Generative AI approaches produce photorealistic images, they carry the risk of hallucination. Therefore, this study adopts a deterministic Scene Assembly approach that prioritizes spatial consistency. The system converts user text into a structured JSON format via an LLM-based parser, validates physical consistency through a rulebased spatial inference layer, and computes evacuation routes using the A* algorithm. Experimental results on 100 scenarios show that while LLM-only achieves 76.3% overall accuracy, the addition of the spatial constraint layer raises this to 85.7%.
This work developed Mask-based Weighted Conditional Flow Matching (MWCFM), which extends Flow Matching by introducing contextual masks for precise feature focusing, which enables targeted training on critical spatial elements relevant to urban planning.
Katharina Roth, Eva Hagen, Alexander Bartscher et al.· 0 citations
TerraLogic, a benchmark for geospatial reasoning, is introduced and HieraPlan, a tool-augmented agent that organizes toolkits into functional hierarchies and performs fault-tolerant reasoning is proposed, providing a strong baseline with improved reasoning, cross-modal generalization, and error handling.
Yuhang Yan, Linchao Mou, Bokang Yang et al.· 1 citation
The Cinematic Pre-Visualization System is an end-to-end pipeline that converts natural language scene descriptions into structured three-dimensional previsualization scenes in Blender and Unity, offering a practical tool for the film, animation, and game production industries.
B. Dheepa, M. J, P. R et al.· Advanced International Journ...· 0 citations
A perception-aware framework for green streetscape redesign that transforms a real street-view image and a high-level design goal into a realistic visualization of a retrofitted street, and suggests that controllable generative models can provide practical support for urban street retrofit visualization and assessment.
Hongkun Wang, Fei Li· Digital Signal and Computer...· 0 citations
Lang2Graph is presented, an experimental framework for indoor topological graph inference from natural-language navigational instructions that isolates four governing factors: instruction structure, metadata clarity, prompting strategy, and model size and reasoning capability, and Reasoning-aligned open-source models o...
Moamin Ibrahim, Yaqoob Ansari, Khaled A. Harras et al.· International Conference on...· 0 citations
This paper proposes UrbanGround, the first sandbox to make this question testable in a physically constrained replica of Hong Kong built from territory-wide 3D geospatial data, and hopes it will support broader study of how far current MLLM agents can explore reliably in complex, open-ended urban environments.
Tianjie Ju, Zheng Wu, Yue-Qing Sun et al.· 2 citations
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