Self‐attention residual network‐based spatial super‐resolution synthesis for time‐varying volumetric data
Abstract In the field of scientific visualization, the upscaling of time‐varying volume is meaningful. It can be used in in situ visualization to help scientists overcome the limitations of I/O speed and storage capacity when analysing and visualizing large‐scale, time‐varying simulation data. This...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2024-05-01
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| Серія: | IET Image Processing |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1049/ipr2.13050 |
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