  We have recently developed OMNIREP, a coevolutionary algorithm to discover
both a representation and an interpreter that solve a particular problem of
interest. Herein, we demonstrate that the OMNIREP framework can be successfully
applied within the field of evolutionary art. Specifically, we coevolve
representations that encode image position, alongside interpreters that
transform these positions into one of three pre-defined shapes (chunks,
polygons, or circles) of varying size, shape, and color. We showcase a sampling
of the unique image variations produced by this approach.
