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@article{ART002843592},
author={Jong-Hyun Kim},
title={Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={5},
pages={85-92},
doi={10.9708/jksci.2022.27.05.085}

TY - JOUR
AU - Jong-Hyun Kim
TI - Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 5
PB - The Korean Society Of Computer And Information
SP - 85
EP - 92
SN - 1598-849X
AB - In this paper, we propose a technique that can express low-resolution hair and fur simulations in high-resolution without noise using ConvNet and geometric images of strands in the form of lines. Pairs between low-resolution and high-resolution data can be obtained through physics-based simulation, and a low-resolution-high-resolution data pair is established using the obtained data. The data used for training is used by converting the position of the hair strands into a geometric image. The hair and fur network proposed in this paper is used for an image synthesizer that upscales a low-resolution image to a high-resolution image. If the high-resolution geometry image obtained as a result of the test is converted back to high-resolution hair, it is possible to express the elastic movement of hair, which is difficult to express with a single mapping function. As for the performance of the synthesis result, it showed faster performance than the traditional physics-based simulation, and it can be easily executed without knowing complex numerical analysis.
KW - Hair simulation;Fur simulation;Convolutional neural network;Physically based simulation;Strand geometry image
DO - 10.9708/jksci.2022.27.05.085
ER -

Jong-Hyun Kim. (2022). Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images. Journal of The Korea Society of Computer and Information, 27(5), 85-92.

Jong-Hyun Kim. 2022, "Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images", Journal of The Korea Society of Computer and Information, vol.27, no.5 pp.85-92. Available from: doi:10.9708/jksci.2022.27.05.085

Jong-Hyun Kim "Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images" Journal of The Korea Society of Computer and Information 27.5 pp.85-92 (2022) : 85.

Jong-Hyun Kim. Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images. 2022; 27(5), 85-92. Available from: doi:10.9708/jksci.2022.27.05.085

Jong-Hyun Kim. "Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images" Journal of The Korea Society of Computer and Information 27, no.5 (2022) : 85-92.doi: 10.9708/jksci.2022.27.05.085

Jong-Hyun Kim. Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images. Journal of The Korea Society of Computer and Information, 27(5), 85-92. doi: 10.9708/jksci.2022.27.05.085

Jong-Hyun Kim. Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images. Journal of The Korea Society of Computer and Information. 2022; 27(5) 85-92. doi: 10.9708/jksci.2022.27.05.085

Jong-Hyun Kim. Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images. 2022; 27(5), 85-92. Available from: doi:10.9708/jksci.2022.27.05.085

Jong-Hyun Kim. "Hair and Fur Synthesizer via ConvNet Using Strand Geometry Images" Journal of The Korea Society of Computer and Information 27, no.5 (2022) : 85-92.doi: 10.9708/jksci.2022.27.05.085