RAUSCHEN
| generative installation / performance | Processing | OpenGL
enter RAUSCHEN github page for more details
photography: Mika Stoerkel | Omar Zaki
RAUSCHEN (2025) is a generative media system exploring the probability space of a 1000x1000
image. Its emergent textures are produced from random grids of pixels that are recursively fed
into a modular palette of shader programs. While current image generation models try to
diffuse their input noise into something coherent, RAUSCHEN infuses its input noise with
patterns of exponential randomness by mixing combinations of generative algorithms. In the
end, a human decides what is worth keeping.
How can we find our way through all this noise?
