Structure-guided texturing with embedded randomness

In the wild, there are a variety of phenomenon consisting of similar individual elements which involve textures guided by global structures, e.g. leaves, petals and butterfly wings. The element diversity directly affects the realism of virtual scenes involving such phenomenon. We propose an approach to generate diverse leaf instances from single input example by fully discovering the embedded randomness. A global structure-guided texture representation is introduced to describe leaf texture variation with respect to leaf venation structure using simple biological knowledge. Further, we design an intuitive synthesis algorithm to generate diverse leaf instances from single leaf example. Experiments show that our synthesis algorithm can produce diverse leaf instances with plausible random variations for leaf venations from species which is the same or different from example.