Learning Physical Parameters and Detail Enhancement for Gaseous Scene Design Based on Data Guidance
This article articulates a novel learning framework for both parameter estimation and detail enhancement for Eulerian gas based on data guidance. The key motivation of this article is to devise a new hybrid, grid-based simulation that could inherit modeling and simulation advantages from both physic...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 27(2021), 10 vom: 29. Okt., Seite 3867-3880 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article |
| Online verfügbar |
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