OpenSimplex noise
In this article, we will explore and analyze the impact of OpenSimplex noise in various contexts and situations. OpenSimplex noise is a topic of great relevance and interest to many people today, since its influence covers areas as diverse as daily life, culture, history, science, technology, politics and much more. From its emergence to its evolution today, OpenSimplex noise has left a deep mark on the world, generating debates, reflections and significant changes in different areas. Throughout this article, we will closely examine the different aspects that make OpenSimplex noise a fascinating and important topic, as well as its implications in the contemporary world.
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OpenSimplex noise is an n-dimensional (up to 4D) gradient noise function that was developed by Kurt Spencer[1] in 2014 in order to overcome the patent-related issues surrounding simplex noise, while likewise avoiding the visually-significant directional artifacts characteristic of Perlin noise.
The algorithm shares numerous similarities with simplex noise, but has two primary differences:
- Whereas simplex noise starts with a hypercubic honeycomb and squashes it down the main diagonal in order to form its grid structure,[2] OpenSimplex noise instead swaps the skew and inverse-skew factors and uses a stretched hypercubic honeycomb. The stretched hypercubic honeycomb becomes a simplicial honeycomb after subdivision.[3] This means that 2D Simplex and 2D OpenSimplex both use different orientations of the triangular tiling, but whereas 3D Simplex uses the tetragonal disphenoid honeycomb, 3D OpenSimplex uses the tetrahedral-octahedral honeycomb.[3]
- OpenSimplex noise uses a larger kernel size than simplex noise. The result is a smoother appearance at the cost of performance, as additional vertices need to be determined and factored into each evaluation.[3]
OpenSimplex has a variant called "SuperSimplex" (or OpenSimplex2S), which is visually smoother. "OpenSimplex2F" is identical to the original SuperSimplex.
See also
References
- ^ peco, barbe (2025-04-24). "OpenSimplex Noise: The Evolution of Noise Representation". barbe_generative_diary. Retrieved 2025-09-14.
- ^ Ken Perlin, Noise hardware. In Real-Time Shading SIGGRAPH Course Notes (2001), Olano M., (Ed.). (pdf)
- ^ a b c Spirit of Iron: Simplectic Noise Michael Powell's blog
External links
- Blog post introducing OpenSimplex noise
- Author's current implementation (OpenSimplex2)
- Android library
- C implementation
- GPU implementation in OpenCL
- Heavily-optimized implementation in C#
- Noise library for the Rust programming language providing OpenSimplex noise – does not hard code gradient initial values
- Python implementation
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