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Authoring Consistent Landscapes with Flora and Fauna

This repository contains the source code of the paper: Authoring Consistent Landscapes with Flora and Fauna. Pierre Ecormier-Nocca, Guillaume Cordonnier, Philippe Carrez, Anne-Marie Moigne, Pooran Memari, Bedrich Benes, Marie-Paule Cani. ACM Transactions on Graphics, Association for Computing Machinery, 2021.

Representative image

Dependencies

The code was tested on Ubuntu 20.04 LTS and Windows 10, but should also run on MacOSX without issues.

The project runs on python3 and the following packages: matplotlib numpy numba scipy skimage opencv-python. First, please make sure that python3 and pip are installed. On linux:

sudo apt-get install python3 python3-pip

The dependencies can then be installed by running the install-deps.py file, or by installing them manually via pip:

python3 -m pip install matplotlib numpy numba scipy scikit-image opencv-python

The illumination precomputation can be done on the GPU if you have CUDA installed and configured. See conditions.py for this.

Running the project

Running run.py executes the project and generates output figures in resources/tautavel_J/visu.

The interactive 3D visualization of the result is not included in this repository.

Citation

@article{authoringconsistentlandscapes21,
    author = {Ecormier-Nocca, Pierre and Cordonnier, Guillaume and Carrez, Philippe and Moigne, Anne-Marie and Memari, Pooran and Benes, Bedrich and Cani, Marie-Paule},
    title = {Authoring Consistent Landscapes with Flora and Fauna},
    year = {2021},
    issue_date = {August 2021},
    publisher = {Association for Computing Machinery},
    address = {New York, NY, USA},
    volume = {40},
    number = {4},
    issn = {0730-0301},
    url = {https://doi.org/10.1145/3450626.3459952},
    doi = {10.1145/3450626.3459952},
    journal = {ACM Trans. Graph.},
    month = jul,
    articleno = {105},
    numpages = {13}
}

License

The code is released under MIT License. See LICENSE for details.

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