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Show HN: High-Res Neural Cellular Automata

cells2pixels.github.io

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Show HN: High-Res Neural Cellular Automata

#1
Neural CAs model self-organizing pattern formation.

Now they can generate patterns at HD resolution in real-time, enabled by turning each CA cell into a Neural Field.

Try 3 demos: grow a pattern from a seed (and damage it, it heals), synthesize PBR textures that can regenerate, or create 3D textures like clouds.

Show HN: High-Res Neural Cellular Automata
cells2pixels.github.io

Re: Show HN: High-Res Neural Cellular Automata

#5
post #2

Why are the images always generated in the same orientation (upright)? Do the cells have awareness of what is "up"?

yeah normally NCAs have a sense of up and left. There are some isotropic variants that make the perception fully rotation-invariant.

Re: Show HN: High-Res Neural Cellular Automata

#7
Really interesting demo, nicely done :) Would be fun if switching the "Target Image" when using the second brush mode in the Growing Demo didn't erase/reset the existing canvas, so we could "stamp" new things on top of other images. Small thing perhaps but I got sad when it disappeared when I wanted to merge a kitten on top of the chameleon but couldn't :(

Re: Show HN: High-Res Neural Cellular Automata

#10

Really interesting demo, nicely done :) Would be fun if switching the "Target Image" when using the second brush mode in the Growing Demo didn't erase/reset the existing canvas, so we could "stamp" new things on top of other images. Small thing perhaps but I got sad when it disappeared when I wanted to merge a kitten on top of the chameleon but couldn't :(

You can, just enable the 'transition' switch.
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