This folder contains code and documentations for the project "Compression Reconstruction Loss for Super-Resolution Images with GAN" assigned in the class "Multimedia and Computer Vision" 2020/2021.
The project is based on a PyTorch implementation of SRGAN which re-implemented CVPR 2017 paper Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.
- Anaconda
- PyTorch
conda install pytorch torchvision -c pytorch
- opencv
conda install opencv
The main file is train.py for the Compression Reconstruction Loss with GAN.
If you are interested in something, don't hesitate to contact me or open an issue.