No HTTPS? Unsubscribed, disliked, blocked, never touch again. I'm not even mad, just disappointed.
Now with 100% less dumb: with a sufficiently good (read, accurate) model, could we maybe figure out what a script we have no familiarity with would look like, given certain design parameters, such as say a multi-script family? I guess for that to happen the model would need to be trained to have a similar opinion to a native specialist consultant, so the training data would have to come from those?
I didn't even see the SIGBOVIK… welp I feel stupid.
I just assumed all the tongue in cheek humour about uppercaserer and lowercaserer (and the chess algorithms) were just youtube attention grabbing jokes.
Brings some chaos into state of the art theory. Thus got some nice ideas like: Why not generate all possible combinations of 8 x 8 pixels and filter away the senseless (i. e. not matching a cognitive model of a character).
Brings some chaos into state of the art theory. Thus got some nice ideas like: Why not generate all possible combinations of 8 x 8 pixels and filter away the senseless (i. e. not matching a cognitive model of a character).
You may be interested in the work of Jurriaan Schrofer (whom I encountered through @Maurice Meilleur's research).
Comments
Now with 100% less dumb: with a sufficiently good (read, accurate) model, could we maybe figure out what a script we have no familiarity with would look like, given certain design parameters, such as say a multi-script family?
I guess for that to happen the model would need to be trained to have a similar opinion to a native specialist consultant, so the training data would have to come from those?
Hideaki Hayashi; Kohtaro Abe; Seiichi Uchida;
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
https://arxiv.org/pdf/1905.12502.pdf
Tomo Miyazaki, Tatsunori Tsuchiya, Yoshihiro Sugaya, Shinichiro Omachi, Masakazu Iwamura, Seiichi Uchida, and Koichi Kise;
Automatic Generation of Typographic Font from a Small Font Subset
https://arxiv.org/pdf/1701.05703.pdf
I just assumed all the tongue in cheek humour about uppercaserer and lowercaserer (and the chess algorithms) were just youtube attention grabbing jokes.
Brings some chaos into state of the art theory. Thus got some nice ideas like: Why not generate all possible combinations of 8 x 8 pixels and filter away the senseless (i. e. not matching a cognitive model of a character).