| Paper Abstract and Keywords |
| Presentation |
2026-06-23 09:20
Reconstruction of 3D Density Fields from 2D Density Fields for Visual Simulation of Smoke
Kenta Kitanohara, Kaoru Nakamura, Yoshinori Dobashi (Hokkaido Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In 3D smoke simulation, handling high-resolution density fields increases both data size and computational cost. In this study, we a system that reconstructs a 3D density field from a small number of 2D cross-sectional density data and visualizes it using volume rendering. As reconstruction methods, we compared linear interpolation and deep-learning-based reconstruction while varying the number of input cross sections. In the deep-learning-based reconstruction, a 3D density field is generated from latent representations obtained from multiple 2D cross sections. During training, latent-space learning is performed using the ground-truth 3D density field. The comparison showed that linear interpolation produced horizontal stripe-like artifacts In contrast, deep-learning-based reconstruction reduced such stripe artifacts, but lost high-frequency components and fine turbulent structures, resulting in an overall smoothed density field. Based on these results, this paper discusses the characteristics and remaining issues of 3D smoke density field reconstruction from sparse 2D cross sections. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Fluid simulation / Deep learning / Volume rendering / Density field reconstruction / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 50, pp. 30-33, June 2026. |
| Paper # |
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| Date of Issue |
2026-06-15 (AIT) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IIEEJ AIT |
| Conference Date |
2026-06-22 - 2026-06-23 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Waseda Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IIEEJ |
| Conference Code |
2026-06-IIEEJ-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Reconstruction of 3D Density Fields from 2D Density Fields for Visual Simulation of Smoke |
| Sub Title (in English) |
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| Keyword(1) |
Fluid simulation |
| Keyword(2) |
Deep learning |
| Keyword(3) |
Volume rendering |
| Keyword(4) |
Density field reconstruction |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Kenta Kitanohara |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name |
Kaoru Nakamura |
| 2nd Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name |
Yoshinori Dobashi |
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Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2026-06-23 09:20:00 |
| Presentation Time |
20 minutes |
| Registration for |
IIEEJ |
| Paper # |
AIT2026-183 |
| Volume (vol) |
vol.50 |
| Number (no) |
no.18 |
| Page |
pp.30-33 |
| #Pages |
4 |
| Date of Issue |
2026-06-15 (AIT) |