Neural map style transfer exploration with GANs
Author:
Affiliation:
1. LASTIG, Univ Gustave Eiffel, IGN-ENSG, Saint-Mande, France
2. Polytechnic School, Computer Science Department, University of Nantes, Nantes, France
3. LASTIG, Univ Gustave Eiffel, IGN-ENSG, Champs-sur-Marne, France
Publisher
Informa UK Limited
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/23729333.2022.2031554
Reference30 articles.
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3. Chen, X., Chen, S., Xu, T., Yin, B., Peng, J., Mei, X. & Li, H. (2020). SMAPGAN: Generative adversarial network-based semisupervised styled map tile generation method. In IEEE Transactions on Geoscience and Remote Sensing (pp. 1–19). Conference Name: IEEE Transactions on Geoscience and Remote Sensing.
4. null
5. Expressive Map Design Based on Pop Art: Revisit of Semiology of Graphics?
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