Skip to content

A TensorFlow implementation of CVPR 2018 paper Residual Dense Network for Image Super-Resolution.

Notifications You must be signed in to change notification settings

cfrancesco/RDN-TensorFlow

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

RDN-TensorFlow

A TensorFlow implementation of CVPR 2018 paper Residual Dense Network for Image Super-Resolution.

Prerequisites

  • Python 2.7
  • Numpy
  • TensorFlow
  • OpenCV
  • h5py

Usage

Prepare data

Download DIV2K training data from here.
Extract and place all the images in RDN-TensorFlow/Train/DIV2K_train_HR.

Train

python main.py

Test

python main.py --is_train=False

References

About

A TensorFlow implementation of CVPR 2018 paper Residual Dense Network for Image Super-Resolution.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%