Simplex noise - Wikipedia
Simplex noise Simplex noise is the result of an n-dimensional noise function comparable to Perlin noise ("classic" noise) but with fewer directional artifacts, in higher dimensions, and a lower computational overhead. Ken Perlin designed the algorithm in 2001[1] to address the limitations of his classic noise function, especially in higher dimensions. The advantages of simplex noise over Perlin no
Ken's Academy Award
In 1997 I received a Technical Achievement Award from the Academy of Motion Picture Arts and Sciences for work I had done on procedural texture. For example, the NYU Torch on the right is made entirely from procedural textures (except for the text along the bottom). The flame, background, and metal and marble handle are not actually 3D models - they are all entirely faked with textures. A hi-res i
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