Generate Your Own Scotland: Satellite Image Generation Conditioned on
  Maps
Miguel Espinosa Elliot J. Crowley
Despite recent advancements in image generation, diffusion models still
remain largely underexplored in Earth Observation. In this paper we show that
state-of-the-art pretrained diffusion models can be conditioned on cartographic
data to generate realistic satellite images. We provide two large datasets of
paired OpenStreetMap images and satellite views over the region of Mainland
Scotland and the Central Belt. We train a ControlNet model and qualitatively
evaluate the results, demonstrating that both image quality and map fidelity
are possible. Finally, we provide some insights on the opportunities and
challenges of applying these models for remote sensing. Our model weights and
code for creating the dataset are publicly available at
https://github.com/miquel-espinosa/map-sat.