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Generative Typography is the typographical representation of an object that connects form and content within a visual communication system by using code. This project questions and reflects upon the visual complexities of a code-driven typography, which relates image and type / input and result.
This work explores experimental typography using ‘turbulence noise formula’ and treats images as inputs, thereby envisioning new forms of typography for graphic design by introducing automatism and randomness.
A series of experimental typographic images are created by this generative system, which takes images and typefaces as input parameters. While the user controls the density of image particles on the outline of texts, the system randomly choses most of the other parameters (e.g. decay, size, position of the fragments from the image and so on) that dictate the rendered appearances.