/RDN-TensorFlow

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

Primary LanguagePython

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