Fluid Noise is a generative visual performance tool built around a 2D image feedback loop. Each frame is processed through a series of recursive image filters, transforming pixel data in real time. The result is then distorted by procedural noise, creating fluid, continuously evolving visuals.

The system is fully parameterized, allowing live control over feedback intensity, noise modulation, and transformation layers.