Humans, are great pattern recognition machines, who face astonishing amount of complexity on a daily basis. We are so good at dealing with it, that we do not directly register how exactly this happens, yet when something is off, we immediately ‘feel’ it. Procedural modelling is, in a way, like painting, where complexity emerges from the interaction of simple rules. Thus, we can achieve great intricacy and believability from layering the simplest rules if we analyse correctly our own thought patterns.


In "Believability in Procedural Modeling: Layering of Simple Rules" I discuss my approach to procedural modelling on the examples of 2 project - Procedural Lake Houses and Realistic Tree R&D as well as dive into practical application and algorithms inside of a scene I created for the talk.


The scene file is available on Gumroad!