#

drrn

Here are 3 public repositories matching this topic...

alohaleonardo / Super_Resolution_with_CNNs_and_GANs

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

python computer-vision pytorch super-resolution srgan srcnn cgan superresolution srresnet drrn

Updated Jul 23, 2018
Jupyter Notebook

NJU-Jet / SR_Framework

A generic framework which implements some famouts super-resolution models

model-zoo pytorch super-resolution vdsr idn lapsrn edsr drcn drrn carn imdn latticenet srfbn

Updated Aug 6, 2021
Python

Megh-Bhatt / Image_Superesolution_Using_DRRN

This code uses power of residual connections to train a 54 layer recursive network for image superesolution task

computer-vision deep-learning tensorflow image-processing super-resolution residual-networks kaggle-dataset image-enhancement drrn

Updated Oct 5, 2024
Python

Improve this page

Add a description, image, and links to the drrn topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the drrn topic, visit your repo's landing page and select "manage topics."