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 =
2 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
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Jointly learned SIREN pre-patterns and NCA dynamics improve robustness, encoding capacity and symmetry-breaking over pure self-organisation; effective pre-patterns bias developmental trajectories rather than approximate targets.
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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
Jointly learned SIREN pre-patterns and NCA dynamics improve robustness, encoding capacity and symmetry-breaking over pure self-organisation; effective pre-patterns bias developmental trajectories rather than approximate targets.