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.
U-attention to textures: hierar- chical hourglass vision transformer for universal tex- ture synthesis
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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.