Deep Convolutional Generative Adversarial Network for Procedural 3D Landscape Generation Based on DEM

Author:

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

Publisher

Springer International Publishing

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism;Smart Innovation, Systems and Technologies;2024

2. Dual Critic Conditional Wasserstein GAN for Height-Map Generation;Proceedings of the 18th International Conference on the Foundations of Digital Games;2023-04-12

3. Implementation and Playtesting for a World Adventure Game’s Procedural Content Generation System;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

4. A Terrain Elevation Map Generation Method Based on Self-Attention Mechanism and Multifeature Sketch;Computational Intelligence and Neuroscience;2022-03-29

5. Visually Improved Erosion Algorithm for the Procedural Generation of Tile-based Terrain;Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications;2022

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