Data Science for the Arts and Humanities
The Turing Podcast
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Translating map styles using generative networks
This chapter discusses the feasibility of converting map styles from one era to another using generative networks. It highlights the challenges and uncertainties of style transfer and mentions research on using generative methods to create synthetic training data for predicting map data.
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