---
license: cc-by-4.0
datasets:
- DominikM198/PP2-M
base_model:
- openai/clip-vit-large-patch14
- BAAI/bge-small-en-v1.5
- torchgeo/vit_small_patch16_224_sentinel2_all_moco
- DominikM198/OSM-MAE
pipeline_tag: feature-extraction
tags:
- SpatialRepresentationLearning
- GeoFoundationModel
- GeoFM
- ContrastiveLearning
- Mutlimodal
---
# 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](https://github.com/DominikM198/UrbanFusion), and further details are described in our paper.  

---

## 📖 Citation

```bibtex
@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}
}
```
---