SRGAN(CVPR 2017) pytorch implementation
Implementation of CVPR2017 Paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" in PyTorch
- Trained my SRGAN model on DIV2K images
- Train process is divided into two steps, referred to original implementation
trainforinit
: initialize learning (G) w/ 10 epochstrain
: adversarial learning (G, D) w/ 40 epochs
- Tested with Set5(x4 LR bicubic) images
- You can get sample output images in
examples/