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Neural Cellular Automata: Operating on Mesh Lattices and Triangle Primitives

By

Ehsan Pajouheshgar1,

2h ago· 1 min readenInsight

Summary

This article discusses Neural Cellular Automata (NCA), a computational model that operates on a coarse lattice of cells, using mesh vertices as an example. It explains how sampling points inside triangle primitives correspond to NCA cells, with local coordinates expressing positions within the primitive. The content appears to be a technical excerpt from a larger piece about applying cellular automata concepts to pixel/image processing.

Key quotes

· 3 pulled
The NCA operates on a coarse lattice of cells (in this example vertices of a mesh).
A sampling point (red dot) inside a triangle primitive, whose vertices correspond to NCA cells.
The local coordinate u(Point) expresses the point's position inside the primitive.
Snippet from the RSS feed
Neural Cellular Automata: From Cells to Pixels

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