Official code repository for the paper:
Generative Modelling of BRDF Textures from Flash Images [SIGGRAPH Asia, 2021]
Henzler, Deschaintre, J. Mitra, Ritschel
[Paper] [Project page]
The dataset is stored under flash_images and contains 306 train folders and 116 test folders (including images from Aitalla et al).
conda env create --name neuralmaterial --file=environment.yml
For training please run
python scripts/train.py
The default config is located at config/config_default.yaml.
Note, <test_id> is a relative path in the flash_images/test and <weight_name> is exptected to be located in the trainings/<run_name> folder.
In order to synthesise given flash images located in the test folder please run
python scripts/test.py --model <model_path> --test_image_id <test_id> --finetune <bool>
Given two images for interpolation please run
python scripts/interpolate.py --model <model_path> --weights1 <weight_name1> --weights2 <weight_name2> --test_image_id1 <test_id1> --test_image_id2 <test_id2>
If you would like to use fine-tuned weights please run the scripts/test.py command above in order to retrieve them.
Run the file run_examples.sh to synthesise / interpolate a few examples.
If you find our work useful in your research, please cite:
@article{henzler2021neuralmaterial,
title={Generative Modelling of BRDF Textures from Flash Images},
author={Henzler, Philipp and Deschaintre, Valentin and Mitra, Niloy J and Ritschel, Tobias},
journal={ACM Trans Graph (Proc. SIGGRAPH Asia)},
year={2021},
volume={40},
number={6},
}
If you have any questions, please email Philipp Henzler at [email protected].