Automatic Feature Highlighting in Noisy RES Data With CycleGAN

no code implementations • 25 Aug 2021 • Nicholas Khami, Omar Imtiaz, Akif Abidi, Akash Aedavelli, Alan Goff, Jesse R. Pisel, Michael J. Pyrcz

We implement a CycleGAN trained on these two domains to highlight layers in noisy images that can interpolate effectively without significant loss of structure or fidelity.

Image-to-Image Translation