Adaptive Rendering based on Adaptive Order Selection

Hongliang Yuan, Changwen Zheng, Quan Zheng, Yu Liu

2017

Abstract

We propose a new adaptive sampling and reconstruction method based on a novel, adaptive order polynomial fitting which can preserve various high-frequency features in generated images and meanwhile mitigate the noise efficiently. Some auxiliary features have strong linear correlation with luminance intensity in the smooth regions of the image, but the relationship does not hold in the high-frequency regions. In order to handle these cases robustly, we approximate luminance intensity in the auxiliary feature space by constructing local polynomial functions with order varying adaptively. Firstly, we sample the image space uniformly. Then we decide the order of fitting with the least estimated mean squared error (MSE) for each pixel. Finally, we distribute additional ray samples to areas with higher estimated MSE if sampling budget remains. We demonstrate that our method makes significant improvement in terms of both numerical error and visual quality compared with the state-of-the-art.

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Paper Citation


in Harvard Style

Yuan H., Zheng C., Zheng Q. and Liu Y. (2017). Adaptive Rendering based on Adaptive Order Selection . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017) ISBN 978-989-758-224-0, pages 37-45. DOI: 10.5220/0006093100370045

in Bibtex Style

@conference{grapp17,
author={Hongliang Yuan and Changwen Zheng and Quan Zheng and Yu Liu},
title={Adaptive Rendering based on Adaptive Order Selection},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017)},
year={2017},
pages={37-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006093100370045},
isbn={978-989-758-224-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2017)
TI - Adaptive Rendering based on Adaptive Order Selection
SN - 978-989-758-224-0
AU - Yuan H.
AU - Zheng C.
AU - Zheng Q.
AU - Liu Y.
PY - 2017
SP - 37
EP - 45
DO - 10.5220/0006093100370045