Self-organizing tree models for image synthesis

TLDR

The method is grounded in a biological hypothesis that tree form arises from a self‑organizing process driven by bud and branch competition for light or space and regulated by internal signaling. The study presents a method for generating realistic models of temperate‑climate trees and shrubs. The method generates realistic temperate‑climate trees and shrubs and allows control via interactive techniques such as procedural brushes, sketching, pruning, and branch bending. Simulations robustly produce a wide range of realistic trees and bushes, and the method’s versatility is demonstrated through diverse models, forest scenes, development animations, and interactive‑procedural examples.

Abstract

We present a method for generating realistic models of temperate-climate trees and shrubs. This method is based on the biological hypothesis that the form of a developing tree emerges from a self-organizing process dominated by the competition of buds and branches for light or space, and regulated by internal signaling mechanisms. Simulations of this process robustly generate a wide range of realistic trees and bushes. The generated forms can be controlled with a variety of interactive techniques, including procedural brushes, sketching, and editing operations such as pruning and bending of branches. We illustrate the usefulness and versatility of the proposed method with diverse tree models, forest scenes, animations of tree development, and examples of combined interactive-procedural tree modeling.