UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

This repository provides the pretrained weights of the UrbanFusion model — a framework for learning robust spatial representations through stochastic multimodal fusion.

UrbanFusion can generate location encodings from any subset of the following modalities:

• 📍 Geographic coordinates
• 🏙️ Street-view imagery
• 🛰️ Remote sensing data
• 🗺️ OSM basemaps
• 🏬 Points of interest (POIs)

🔗 The full source code is available on GitHub, and further details are described in our paper.

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📖 Citation

@article{muehlematter2025urbanfusion,
  title   = {UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations},
  author  = {Dominik J. Mühlematter and Lin Che and Ye Hong and Martin Raubal and Nina Wiedemann},
  year    = {2025},
  journal = {arXiv preprint arXiv:2510.13774}
}

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