Deep convolutional generative adversarial network for procedural 3D landscape generation based on DEM
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
This paper proposes a novel framework for improving procedural generation of 3D landscapes using machine learning. We utilized a Deep Convolutional Generative Adversarial Network (DC-GAN) to generate heightmaps. The network was trained on a dataset consisting of Digital Elevation Maps (DEM) of the alps. During map generation, the batch size and learning rate were optimized for the most efficient and satisfying map production. The diversity of the final output was tested against Perlin noise using Mean Square Error [1] and Structure Similarity Index [2]. Perlin noise is especially interesting as it has been used to generate game maps in previous productions [3, 4]. The diversity test showed the generated maps had a significantly greater diversity than the Perlin noise maps. Afterwards the heightmaps was converted to 3D maps in Unity3D. The 3D maps’ perceived realism and videogame usability was pilot tested, showing a promising future for DC-GAN generated 3D landscapes.
Original language | English |
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Title of host publication | Interactivity, Game Creation, Design, Learning, and Innovation : 6th International Conference, ArtsIT 2017 and Second International Conference, DLI 2017 Heraklion, Crete, Greece, October 30–31, 2017 Proceedings |
Editors | Anthony L Brooks, Eva Brooks, Nikolas Vidakis |
Number of pages | 9 |
Place of Publication | Cham |
Publisher | Springer |
Publication date | 2018 |
Pages | 85-94 |
ISBN (Print) | 978-3-319-76907-3 |
ISBN (Electronic) | 978-3-319-76908-0 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | 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 Duration: 30 Oct 2017 → 31 Oct 2017 |
Conference
Conference | 6th EAI International Conference on Interactivity and Game Creation, ArtsIT 2017 and the 2nd International Conference on Design, Learning and Innovation, DLI 2017 |
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Land | Greece |
By | Heraklion |
Periode | 30/10/2017 → 31/10/2017 |
Series | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering |
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Volume | 229 |
ISSN | 1867-8211 |
- Faculty of Science - GAN, Deep Convolutional Generative Adversarial Network, PCG, Procedural generated landscapes, Digital Elevation Maps (DEM), Heightmaps, Games, 3D landscapes
Research areas
Links
- https://rdcu.be/c1JRY
Final published version
ID: 315552477