Codes for the paper "A data driven approach to generate realistic 3D tree barks".

If you use this code, please cite:

Aishwarya Venkataramanan, Antoine Richard, Cédric Pradalier, A data driven approach to generate realistic 3D tree barks, Graphical Models, Volume 123, 2022, 101166, ISSN 1524-0703, https://doi.org/10.1016/j.gmod.2022.101166.

@article{venkataramanan2022data,
  title={A data driven approach to generate realistic 3D tree barks},
  author={Venkataramanan, Aishwarya and Richard, Antoine and Pradalier, C{\'e}dric},
  journal={Graphical Models},
  volume={123},
  pages={101166},
  year={2022},
  publisher={Elsevier}
}

maps_extraction - It takes the 3D point cloud of the tree barks and extracts the bark surface geometry and color. DepthReinforcedSPADE - GAN to generate bark surface and color.

For using each of these softwares, please refer to the README files of the respective directories.