Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM

Andreas Wulff-Jensen, Niclas Nerup Rant, Tobias Nordvig Møller, Jonas Aksel Billeskov

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Original languageEnglish
Title of host publicationInteractivity, Game Creation, Design, Learning, and Innovation : 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings
Number of pages10
PublisherSpringer
Publication date1 Jan 2018
Pages85-94
ISBN (Print)978-3-319-76907-3
ISBN (Electronic)978-3-319-76908-0
DOIs
Publication statusPublished - 1 Jan 2018
Event6th EAI International Conference on Interactivity and Game Creation, ArtsIT 2017 and the 2nd International Conference on Design, Learning and Innovation, DLI 2017 - Heraklion, Greece
Duration: 30 Oct 201731 Oct 2017

Conference

Conference6th EAI International Conference on Interactivity and Game Creation, ArtsIT 2017 and the 2nd International Conference on Design, Learning and Innovation, DLI 2017
CountryGreece
CityHeraklion
Period30/10/201731/10/2017
SeriesLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume229
ISSN1867-8211

Fingerprint

Mean square error
Learning systems

Keywords

  • 3D landscapes
  • Deep convolutional generative adversarial network
  • Digital elevation maps (DEM)
  • Games
  • GAN
  • Heightmaps
  • PCG
  • Procedural generated landscapes

Cite this

Wulff-Jensen, A., Rant, N. N., Møller, T. N., & Billeskov, J. A. (2018). Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM. In Interactivity, Game Creation, Design, Learning, and Innovation: 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings (pp. 85-94). Springer. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol.. 229 https://doi.org/10.1007/978-3-319-76908-0_9
Wulff-Jensen, Andreas ; Rant, Niclas Nerup ; Møller, Tobias Nordvig ; Billeskov, Jonas Aksel. / Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM. Interactivity, Game Creation, Design, Learning, and Innovation: 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings. Springer, 2018. pp. 85-94 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 229).
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Wulff-Jensen, A, Rant, NN, Møller, TN & Billeskov, JA 2018, Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM. in Interactivity, Game Creation, Design, Learning, and Innovation: 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings. Springer, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 229, pp. 85-94, 6th EAI International Conference on Interactivity and Game Creation, ArtsIT 2017 and the 2nd International Conference on Design, Learning and Innovation, DLI 2017, Heraklion, Greece, 30/10/2017. https://doi.org/10.1007/978-3-319-76908-0_9

Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM. / Wulff-Jensen, Andreas; Rant, Niclas Nerup; Møller, Tobias Nordvig; Billeskov, Jonas Aksel.

Interactivity, Game Creation, Design, Learning, and Innovation: 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings. Springer, 2018. p. 85-94.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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KW - GAN

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Wulff-Jensen A, Rant NN, Møller TN, Billeskov JA. Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM. In Interactivity, Game Creation, Design, Learning, and Innovation: 6th International Conference, ArtsIT 2017, and 2nd International Conference, DLI 2017, Proceedings. Springer. 2018. p. 85-94. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Vol. 229). https://doi.org/10.1007/978-3-319-76908-0_9