NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows

Due to NUNet’s ability to super-resolve only regions of interest, it predicts the same target 1024 × 1024 spatial resolution 7 − 28 . 5 × faster than state-of-the-art DL methods and reduces the memory usage by 4 . 4 − 7 . 65 × , showcasing improved scalability.

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