105 points | by ux a day ago ago
4 comments
Thank you for explaining this better! This is still a bit complicated on the Math side but it’s well illustrated to see the result.
One thing I've been meaning to look into - how to adapt 3D perlin noise to produce gaussian noise - given a specified (scalar) mean and standard deviation.
Why not generate gaussian noise from scratch? By definition it should be indistinguishable.
Pretty and informative!
Thank you for explaining this better! This is still a bit complicated on the Math side but it’s well illustrated to see the result.
One thing I've been meaning to look into - how to adapt 3D perlin noise to produce gaussian noise - given a specified (scalar) mean and standard deviation.
Why not generate gaussian noise from scratch? By definition it should be indistinguishable.
Pretty and informative!