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.