mlsanityData to 7 Oct 2026

HeatMat: Simulation of City Material Impact on Urban Heat Island Effect

arXiv 2601.22796 ↗First posted 30 Jan 2026cs.GR cs.CVcited by 0

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Abstract (arXiv)

The Urban Heat Island (UHI) effect, defined as a significant increase in temperature in urban environments compared to surrounding areas, is difficult to study in real cities using sensor data (satellites or in-situ stations) due to their coarse spatial and temporal resolution. Among the factors contributing to this effect are the properties of urban materials, which differ from those in rural areas. To analyze their individual impact and to test new material configurations, a high-resolution simulation at the city scale is required. Estimating the current materials used in a city, including those on building facades, is also challenging. We propose HeatMat, an approach to analyze at high resolution the individual impact of urban materials on the UHI effect in a real city, relying only on open data. We estimate building materials using street-view images and a pre-trained vision-language model (VLM) to supplement existing OpenStreetMap data, which describes the 2D geometry and features of buildings. We further encode this information into a set of 2D maps that represent the city's vertical structure and material characteristics. These maps serve as inputs for our 2.5D simulator, which models coupled heat transfers and enables random-access surface temperature estimation at multiple resolutions, reaching an x20 speedup compared to an equivalent simulation in 3D.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 14 of its 78 references that are in the map. First posted on arXiv 30 Jan 2026.

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14 of 78 references.

References · 14

  1. 2023Improved Baselines with Visual Instruction Tuningcited by 4,362
  2. 2024Grounded SAM: Assembling Open-World Models for Diverse Visual Taskscited by 914
  3. 2018Single-Image SVBRDF Capture with a Rendering-Aware Deep Networkcited by 116
  4. 2022Perspective Fields for Single Image Camera Calibrationcited by 75
  5. 2023ControlMat: A Controlled Generative Approach to Material Capturecited by 50
  6. 2023MatFuse: Controllable Material Generation with Diffusion Modelscited by 39
  7. 2024MatFusion: A Generative Diffusion Model for SVBRDF Capturecited by 31
  8. 2020Guided Fine-Tuning for Large-Scale Material Transfercited by 27
  9. 2017Generic 3D Representation via Pose Estimation and Matchingcited by 17
  10. 2013Inverse Procedural Modeling of Facade Layoutscited by 8
  11. 2023Walk on Stars: A Grid-Free Monte Carlo Method for PDEs with Neumann Boundary Conditionscited by 8
  12. 2024FaccAID: A Transformer Model for Neuro-Symbolic Facade Reconstructioncited by 5
2 more
  1. 2025Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generationcited by 3
  2. 2022UrbanFlow: Designing Comfortable Outdoor Areascited by 1

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  4. 2024BuildingView: Constructing Urban Building Exteriors Databases with Street View Imagery and Multimodal Large Language Mode
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  6. 2025Navigating Heat Exposure: Simulation of Route Planning Based on Visual Language Model Agents
  7. 2025Synthetic Data Matters: Re-training with Geo-typical Synthetic Labels for Building Detection
  8. 2026Agentic AI-Enabled Framework for Thermal Comfort and Building Energy Assessment in Tropical Urban Neighborhoods