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 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?
