Show HN: High-Res Neural Cellular Automata

Researchers from EPFL and Google Research paired a coarse-grid NCA with a lightweight implicit decoder to render outputs at arbitrary resolution. The decoder maps cell states and local coordinates to appearance attributes, keeping inference parallelizable. Task-specific losses supervise high-resolution outputs for morphogenesis and texture synthesis.