Growing Neural Cellular Automata
distill.pub · 7,255 words · saved by 13 readers
Training an end-to-end differentiable, self-organising cellular automata model of morphogenesis, able to both grow and regenerate specific patterns.
Growing Neural Cellular Automata Distill Growing Neural Cellular Automata Differentiable Model of Morphogenesis Click or tap the image to erase the part of the pattern and see it regenerate. Double clicking places a new seed cell on the grid. Speed: Step ( step/s) Model type: Growing Persistent Regenerating Rotation [experiment 4] Growing models were trained to generate patterns, but don't know how to persist them. Some patterns explode, some decay, but some happen to be almost stable or even regenerate parts! [experiment 1] Persistent models are trained to make the pattern stay for a prolonge
saved by
- Yufei Xiao
- Pranav
- Karan MJ
- Claire Wang
- Freeman Jiang
- Shreya Mogulothu
- Aaron Pham
- surya
- Yudhister Joel Kumar
- Nathan Chen
- Jackson Mowatt Gok
- Mason Wang
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