Hybrid coarse-grid NCA plus implicit decoder produces arbitrary-resolution real-time outputs for morphogenesis and texture synthesis on grids and meshes while preserving self-organization.
Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems , url =
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Joint training of NCA rules and SIREN pre-patterns improves robustness, encoding capacity, and symmetry breaking compared to purely self-organizing models by offloading information to initial conditions.
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Neural Cellular Automata: From Cells to Pixels
Hybrid coarse-grid NCA plus implicit decoder produces arbitrary-resolution real-time outputs for morphogenesis and texture synthesis on grids and meshes while preserving self-organization.
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Learning Developmental Scaffoldings to Guide Self-Organisation
Joint training of NCA rules and SIREN pre-patterns improves robustness, encoding capacity, and symmetry breaking compared to purely self-organizing models by offloading information to initial conditions.