最快的类似柏林的 3D 噪声算法? [英] Fastest Perlin-Like 3D noise algorithm?

问题描述

距离 Ken Perlin 首次发明他的噪音已经 20 多年了.有没有人设法制作出一种更快的 3D 噪声生成器，其特性接近 Perlin(程序化、看起来自然的分组、减少的条带、常规特征尺寸等)?

It's been well over 20 years since Ken Perlin first invented his noise. Has anybody managed to make a faster kind of 3D noise generator with properties close to Perlin's (procedural, natural-looking grouping, reduced banding, regular feature size, etc)?

我正在尝试构建一个程序世界生成器，但目前 Perlin 并没有削减它.我承认我的实现并不是目前最好的，但如果我要重写它，我想知道是否有更好的算法可用.

I'm trying to build a procedural world generator but currently Perlin just isn't cutting it. I admit my implementation isn't the best it could be right now, but if I'm about to rewrite it anyway I wondered if there was a better algorithm available.

推荐答案

你想要 Simplex Noise.

• 计算成本更低
• 不是基于方形网格，所以没有明显的方向性伪影
• 更好地扩展到更高维度:O(N^2) 与经典 Perlin 的 O(2^N) 对 N 维

这里有一个很好的解释.显然，Ken Perlin 的示例实现并不是最容易理解的代码.

There's a good explanation here. Apparently Ken Perlin's example implementation is not the most easy to understand code.

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