Artificial terrain synthesis is challenging because natural terrain contains many types of features generated by a diverse range of natural processes over vastly different time-scales. Example-based terrain synthesis has been used to overcome the challenge by using real-world terrain as the basis for synthesis. This produces good local behaviour but can have poor global behaviour. We introduce fluid-flow solutions that can be overlaid on multi-resolution example-based terrain synthesis to improve global realism. We apply these to an existing pixel-based terrain synthesis method and to a novel terrain synthesis method, terrain optimisation, based on texture optimisation. Our fluid-flow solutions improve results for artificial terrains.

人工地形合成具有挑战性，因为自然地形包含多种类型的特征，这些特征是在截然不同的时间尺度上由各种自然过程生成的。通过使用真实世界的地形作为合成的基础，基于实例的地形合成已被用于克服挑战。这会产生良好的本地行为，但可能会产生不良的全局行为。我们引入了可以叠加在基于多分辨率示例的地形合成上的流体流动解决方案，以提高全局真实感。我们将这些应用于现有的基于像素的地形合成方法和基于纹理优化的新型地形合成方法，即地形优化。我们的流体流动解决方案改善了人造地形的结果。