Automated tree generation using grammar & particle system

@inbook{10.1145/3490035.3490285,
  author = {Jain, Aryamaan and Sunkara, Jyoti and Shah, Ishaan and Sharma, Avinash and Rajan, K S},
  title = {Automated Tree Generation Using Grammar & Particle System},
  year = {2021},
  isbn = {9781450375962},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3490035.3490285},
  abstract = {Trees are an integral part of many outdoor scenes and are rendered in a wide variety of computer applications like computer games, movies, simulations, architectural models, AR and VR. This has led to increasing demand for realistic, intuitive, lightweight and easy to produce computer-generated trees. The current approaches at 3D tree generation using a library of trees lack variations in structure and are repetitive. This paper presents an extended grammar-based automated solution for 3D tree generation that can model a wide range of species, both Western and Indian. For the foliage, we adopt a particle system approach that models the leaf, its size, orientation and changes. The proposed solution additionally allows control for individual trees, thus modelling the tree growth variations, changes in foliage across seasons, and leaf structure. This enables the generation of virtual forests with different tree compositions. In addition, a Blender add-on has been developed for use and will be released.},
  booktitle = {Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing},
  articleno = {26},
  numpages = {9}
}