Transferring Font “style” via Deep Learning
There’s been considerable work done in transferring the “style” of a picture to another image (like, “ make cabins look like they’re in the depths of winter ” as seen below) Doing this for pictures, it turns out, is a lot ( lot! ) simpler than doing it for fonts. Turns out that designing fonts is hard , and, frankly, a bit of a PITA. As a result, when you come up with a specific font for, say, a movie poster, or a logo, or whatever, you usually just design the glyphs for the specific use at hand. So, if your image has the text “ PLUGH ” in it, then you do the letters “ P ”, “ L ”, “ U ”, “ G ”, and “ H ”, put ’em together, tweak spacing, color, etc. and you’re done. You just don’t worry about the rest of the letters of the alphabet, casing, numbers, symbols, whatever. So great, somebody comes along and wants to create an image with the text “ XYZZY ” on it, in the same font. (Remember, this somebody could be you !). The old school way would be labo...