Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
-
Updated
Jul 23, 2018 - Jupyter Notebook
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
This code uses power of residual connections to train a 54 layer recursive network for image superesolution task
To associate your repository with the drrn topic, visit your repo's landing page and select "manage topics."