Neural cellular automata can be trained for robust self-regeneration of damaged textures and for efficient grafting of multiple textures at inference time via genome channel initialization.
Neural Cellular Automata Can Re- spond to Signals,
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Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata
Neural cellular automata can be trained for robust self-regeneration of damaged textures and for efficient grafting of multiple textures at inference time via genome channel initialization.