Search Results for author:
Found 2 papers, 0 papers with code
Accurate and Fast reconstruction of Porous Media from Extremely Limited Information Using Conditional Generative Adversarial Network
To overcome this shortcoming, in this study we proposed a deep learning-based framework for reconstructing full image from its much smaller sub-area(s).
CT-image Super Resolution Using 3D Convolutional Neural Network
Super resolution (SR) methods based on deep learning have achieved surprising performance in two-dimensional (2D) images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
