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Re:Self-organising textures from cellular automata by layer8 on Friday February 12, 2021 @10:08AM (#26114414)
How large is the state space for each cell? Full 8-bit RGB (= 24 bits)?
Re:Self-organising textures from cellular automata by eyvindn on Friday February 12, 2021 @10:35AM (#26114765)
EDIT: Alex replied below. For more details on quantisation see footnotes in our seminal work [1]

[1] https://distill.pub/2020/growing-ca/

Re:Self-organising textures from cellular automata by phreeza on Friday February 12, 2021 @12:06PM (#26115811)
Is it common to describe ones own work as seminal?
Re:Self-organising textures from cellular automata by munificent on Friday February 12, 2021 @12:54PM (#26116422)
In typical parlance today, "seminal" means "from which a bunch of important things have sprung" but I think there is an older definition which is simply "first".
Re:Self-organising textures from cellular automata by eyvindn on Friday February 12, 2021 @02:10PM (#26117316)
Apologies, not my intention. I was also under the impression seminal could be used to mean ”first” in the succession of our works and this is what I had intended to communicate.
Re:Self-organising textures from cellular automata by colah3 on Saturday February 13, 2021 @12:38AM (#26121673)
I don't think English is the author's first language.
Re:Self-organising textures from cellular automata by DemocracyFTW on Saturday February 13, 2021 @09:40AM (#26123824)
It's their seminal language XD

As a non-native but long-term speaker of English, I understand "seminal" as in "their seminal work" as "groundbreaking" (and better to be avoided when referring to one's own work). But slips of the pen are inevitable, so no harm done.

Re:Self-organising textures from cellular automata by zzznah on Friday February 12, 2021 @10:32AM (#26114730)
Each cell has 12 8-bit channels, including rgb, so it is 96 bits.
Re:Self-organising textures from cellular automata by yorwba on Friday February 12, 2021 @10:36AM (#26114794)
The article says "our NCA model contains 16 channels. The first three are visible RGB channels and the rest we treat as latent channels which are visible to adjacent cells during update steps, but excluded from loss functions."
Re:Self-organising textures from cellular automata by eyvindn on Friday February 12, 2021 @10:42AM (#26114852)
Thanks for noticing. This is a typo stemming from early experiments. We started out with 16 channels, but switched to 12 channels of state when this worked just as well. I've submitted a correction.