rcan-tensorflow

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

ECCV 2018 paper

Orig PyTorch Implementation

License: MIT Total alerts Language grade: Python

Introduction

This repo contains my implementation of RCAN (Residual Channel Attention Networks).

Here're the proposed architectures in the paper.

All images got from the paper

Dependencies

DataSet

DataSet LR HR
DIV2K 800 (192x192) 800 (768x768)

Usage

training

# hyper-paramters in config.py, you can edit them!
$ python3 train.py --data_from [img or h5]

testing

$ python3 test.py --src_image sample.png --dst_image sample-upscaled.png

Results

Example\Resolution 192x192x3 image (sample) 768x768x3 image (generated)
Example1 (X4 scaled) img img

To-Do

  1. None

Author

HyeongChan Kim / @kozistr