Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images

A machine learning workshop for artists in Milan spawned a project that uses neural networks to make city maps. Called Invisible Cities, the project involves using neural networks, a computer system inspired by the human brain, to translate map tiles into generative satellite images for various cities, including Milan, Venice, and Los Angeles. Through this technology, the artists can also hand-draw sketches of imaginary cities and feed them into the generative model trained to create a map. The project was born out of a workshop at Opendot Fablab, a digital fabrication laboratory, as well as a prototyping and design platform. “In a nutshell, what we are doing with this project is image to image translation. As this text can be translated into another language maintaining all the information, in the…


Link to Full Article: Artists Used Machine Learning to Turn Hand Drawn Maps Into Satellite Images

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