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2. Perlin noise - Wikipedia

   en.wikipedia.org/wiki/Perlin_noise

   A virtual landscape generated using Perlin noise. Perlin noise is a procedural texture primitive, a type of gradient noise used by visual effects artists to increase the appearance of realism in computer graphics. The function has a pseudo-random appearance, yet all of its visual details are the same size. This property allows it to be readily ...

3. Simulation noise - Wikipedia

   en.wikipedia.org/wiki/Simulation_noise

   Perlin noise is the earliest form of lattice noise, which has become very popular in computer graphics. Perlin Noise is not suited for simulation because it is not divergence-free. Noises based on lattices, such as simulation noise and Perlin noise, are often calculated at different frequencies and summed together to form band-limited fractal ...

4. Gradient noise - Wikipedia

   en.wikipedia.org/wiki/Gradient_noise

   An artifact of some implementations of this noise is that the returned value at the lattice points is 0. Unlike the value noise, gradient noise has more energy in the high frequencies. The first known implementation of a gradient noise function was Perlin noise, credited to Ken Perlin, who published the description of it in 1985.

5. Procedural generation - Wikipedia

   en.wikipedia.org/wiki/Procedural_generation

   Coherent noise can be extremely important to procedural workflow in film. Simplex noise is often faster with fewer artifacts, though an older function called Perlin noise may be used as well. Coherent noise, in this case, refers to a function that generates smooth pseudo-randomness in n dimensions.

6. OpenSimplex noise - Wikipedia

   en.wikipedia.org/wiki/OpenSimplex_noise

   Abstract composition in 3D generated with the OpenSimplex noise generation algorithm. OpenSimplex noise is an n-dimensional (up to 4D) gradient noise function that was developed in order to overcome the patent-related issues surrounding simplex noise, while likewise avoiding the visually-significant directional artifacts characteristic of Perlin noise.

7. Simplex noise - Wikipedia

   en.wikipedia.org/wiki/Simplex_noise

   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 ...

8. Ken Perlin - Wikipedia

   en.wikipedia.org/wiki/Ken_Perlin

   In 1996, Perlin received an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences, for the development of Perlin noise. [7] He had introduced this technique with the goal to produce natural-appearing textures on computer-generated surfaces for motion picture visual effects, while working on the Walt Disney Productions' 1982 feature film TRON for which he ...

9. Worley noise - Wikipedia

   en.wikipedia.org/wiki/Worley_noise

   Worley noise, also called Voronoi noise and cellular noise, is a noise function introduced by Steven Worley in 1996. Worley noise is an extension of the Voronoi diagram that outputs a real value at a given coordinate that corresponds to the Distance of the nth nearest seed (usually n=1) and the seeds are distributed evenly through the region.