Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution" (CVPR 2017)
This is a Tensorflow implementation using TensorLayer. Original paper and implementation using MatConNet can be found on their project webpage.
Environment
The implementation is tested using python 3.6 and cuda 8.0.
Download repository:
$ git clone https://github.com/zjuela/LapSRN-tensorflow.git
Train model
Specify dataset path in config.py file and run:
$ python main.py
The pre-trained model is trained using NTIRE 2017 challenge dataset.
Test
Run with your test image:
$ python main.py -m test -f TESTIMAGE
Results can be find in folder ./samples/