  Quasi-random walks show similar features as standard random walks, but with
much less randomness. We utilize this established model from discrete
mathematics and show how agents carrying out quasi-random walks can be used for
image transition and animation. The key idea is to generalize the notion of
quasi-random walks and let a set of autonomous agents perform quasi-random
walks painting an image. Each agent has one particular target image that they
paint when following a sequence of directions for their quasi-random walk. The
sequence can easily be chosen by an artist and allows them to produce a wide
range of different transition patterns and animations.
