Inspired by the framework of algorithm unrolling, we propose a scalable network architecture that computes layer patterns for light field displays, enabling control of the trade-off between the display quality and the computational cost on a single pre-trained network.
Kotaro MATSUURA
Nagoya University
Chihiro TSUTAKE
Nagoya University
Keita TAKAHASHI
Nagoya University
Toshiaki FUJII
Nagoya University
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Kotaro MATSUURA, Chihiro TSUTAKE, Keita TAKAHASHI, Toshiaki FUJII, "Unrolled Network for Light Field Display" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 10, pp. 1721-1725, October 2022, doi: 10.1587/transinf.2022PCL0002.
Abstract: Inspired by the framework of algorithm unrolling, we propose a scalable network architecture that computes layer patterns for light field displays, enabling control of the trade-off between the display quality and the computational cost on a single pre-trained network.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022PCL0002/_p
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@ARTICLE{e105-d_10_1721,
author={Kotaro MATSUURA, Chihiro TSUTAKE, Keita TAKAHASHI, Toshiaki FUJII, },
journal={IEICE TRANSACTIONS on Information},
title={Unrolled Network for Light Field Display},
year={2022},
volume={E105-D},
number={10},
pages={1721-1725},
abstract={Inspired by the framework of algorithm unrolling, we propose a scalable network architecture that computes layer patterns for light field displays, enabling control of the trade-off between the display quality and the computational cost on a single pre-trained network.},
keywords={},
doi={10.1587/transinf.2022PCL0002},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Unrolled Network for Light Field Display
T2 - IEICE TRANSACTIONS on Information
SP - 1721
EP - 1725
AU - Kotaro MATSUURA
AU - Chihiro TSUTAKE
AU - Keita TAKAHASHI
AU - Toshiaki FUJII
PY - 2022
DO - 10.1587/transinf.2022PCL0002
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2022
AB - Inspired by the framework of algorithm unrolling, we propose a scalable network architecture that computes layer patterns for light field displays, enabling control of the trade-off between the display quality and the computational cost on a single pre-trained network.
ER -