The computer graphics and animation fields are filled with applications that require the
setting of tricky parameters. In many cases, the models are complex and the parameters
unintuitive for non-experts. In this paper, we present an optimization method for setting
parameters of a procedural fluid animation system by showing the user examples of different
parametrized animations and asking for feedback. Our method employs the Bayesian
technique of bringing in “prior” belief based on previous runs of the system and/or expert …