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Show HN: High-Res Neural Cellular Automata

https://cells2pixels.github.io/
76•esychology•2h ago
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.

Comments

amelius•1h ago
Why are the images always generated in the same orientation (upright)? Do the cells have awareness of what is "up"?
esychology•59m ago
yeah normally NCAs have a sense of up and left. There are some isotropic variants that make the perception fully rotation-invariant.
WithinReason•1h ago
You can make the centipede grow longer, which makes sense given how this works. Or grow a 2nd centipede for extra points.
esychology•1h ago
haha yes, also the same with the worm
jekude•53m ago
The abstract implies that strictly local updates are a hinderance to high res, however i would have thought there would be an interesting way to get speed up gains from neighbor-only traffic on GPUs CAM-style. am i making that up?
embedding-shape•46m ago
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 :(
whilenot-dev•14m ago
The automata just completely destroys the image if I draw too much over the stabilized image with the brush. 5 horizontal swipes are enough to destroy the kitty, is that to be expected?

EDIT: video here: https://imgur.com/a/ItZGd5X

mirekrusin•13m ago
So the goal is to evaporate it with minimum number of shots?

Show HN: High-Res Neural Cellular Automata

https://cells2pixels.github.io/
77•esychology•2h ago•8 comments

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