I believe the approach is to actually use a 3 dimensional noise field (every point in a 3D space has a scalar noise value) as opposed to a 2 dimensional field (every point on a 2D plane has a noise value). When using a 2D noise function to generate a height map, you offset the … Read more
Perlin noise is completely controlled by the different variables you set, i.e. amplitude, frequency and persistance. The amount of octaves has a little change, but not much. In code that I have written in the past I have just played around with the order of magnitude of the frequency and persistance until I have gotten … Read more
“If it ain’t broke, don’t fix it.” See if you can find anyone telling you why Simplex is better. “It’s faster and extends to multiple dimensions” and “simplex noise attempts to reduce the complexity of higher dimensional noise functions” were what I found. Most of us work in 2 or 3 dimensions, maybe 4 if … Read more
For very simple pseudorandom-looking stuff, I use this oneliner that I found on the internet somewhere: float rand(vec2 co){ return fract(sin(dot(co, vec2(12.9898, 78.233))) * 43758.5453); } You can also generate a noise texture using whatever PRNG you like, then upload this in the normal fashion and sample the values in your shader; I can dig … Read more