AI RESEARCH
Neural Cellular Automata: From Cells to Pixels
arXiv CS.LG
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ArXi:2506.22899v3 Announce Type: replace-cross Neural Cellular Automata (NCAs) are bio-inspired dynamical systems in which identical cells iteratively apply a learned local update rule to self-organize into complex patterns, exhibiting regeneration, robustness, and spontaneous dynamics. Despite their success in texture synthesis and morphogenesis, NCAs remain largely confined to low-resolution outputs. This limitation stems from (1)