Re-photographing: solutions were developed for overlapping historical photos with current situations in town. This shows how city corners changed and give impressions of urban modifications or happened hazards.

Colorization: using neural networks, colors were inpainted in historical photos for better visualization and communication purposes.

3D effects: historical images were enhanced with 3D effects based on deep learning solutions for visualization needs and better understanding.

  • 4D city modelling: using historical maps and machine learning techniques, unavailable building heights were predicted and maps were converted in 3D cities for studies, visualization and urban analyses purposes.

  • Recent developments: 3D city modelling from cadastral data to investigate and visualize the city growth in the last 50 years (1973-2016).