Optimal Activation Function for Anisotropic BRDF Modeling

Stanislav Mikeš, Michal Haindl

2023

Abstract

We present simple and fast neural anisotropic Bidirectional Reflectance Distribution Function (NN-BRDF) efficient models, capable of accurately estimating unmeasured combinations of illumination and viewing angles from sparse Bidirectional Texture Function (BTF) measurement of neighboring points in the illumination/viewing hemisphere. Our models are optimized for the best-performing activation function from nineteen widely used nonlinear functions and can be directly used in rendering. We demonstrate that the activation function significantly influences the modeling precision. The models enable us to reach significant time and cost-saving in not trivial and costly BTF measurements while maintaining acceptably low modeling error. The presented models learn well, even from only three percent of the original BTF measurements, and we can prove this by precise evaluation of the modeling error, which is smaller than the errors of alternative analytical BRDF models.

Paper Citation

in Harvard Style

Mikeš S. and Haindl M. (2023). Optimal Activation Function for Anisotropic BRDF Modeling. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP; ISBN 978-989-758-634-7, SciTePress, pages 162-169. DOI: 10.5220/0011616200003417

in Bibtex Style

@conference{grapp23,
author={Stanislav Mikeš and Michal Haindl},
title={Optimal Activation Function for Anisotropic BRDF Modeling},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP},
year={2023},
pages={162-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011616200003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 1: GRAPP
TI - Optimal Activation Function for Anisotropic BRDF Modeling
SN - 978-989-758-634-7
AU - Mikeš S.
AU - Haindl M.
PY - 2023
SP - 162
EP - 169
DO - 10.5220/0011616200003417
PB - SciTePress