SRGAN-pytorch

SRGAN(CVPR 2017) pytorch implementation

Implementation of CVPR2017 Paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" in PyTorch

Performance

• Trained my SRGAN model on DIV2K images
• Train process is divided into two steps, referred to original implementation
  • trainforinit: initialize learning (G) w/ 10 epochs
  • train: adversarial learning (G, D) w/ 40 epochs

Sample outputs

• Tested with Set5(x4 LR bicubic) images
• You can get sample output images in examples/