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Found 2 papers, 1 papers with code
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution
Recent developments in super resolution (SR) methods using deep learning allow the digital enhancement of low resolution (LR) images over large spatial scales, creating SR images comparable to the high resolution (HR) ground truth.
Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modelling
The SR images and models are comparable to the HR ground truth, and generally accurate to within experimental uncertainty at the continuum scale across a range of flow rates.
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