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Found 3 papers, 3 papers with code
Generating Multidimensional Clusters With Support Lines
Synthetic data is essential for assessing clustering techniques, complementing and extending real data, and allowing for more complete coverage of a given problem's space.
Procedural Generation of 3D Maps with Snappable Meshes
In this paper we present a technique for procedurally generating 3D maps using a set of premade meshes which snap together based on designer-specified visual constraints.
Generative Art with Swarm Landscapes
We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function.
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