Pytorch implementation of image Super-Resolution model.
The purpose of super resolution is to restore high resolution image from low resolution image. We use pytorch to implement some classical super division models.
| Year | Press | Model Name | Paper Name |
|---|---|---|---|
| 2015 | TPAMI | SRCNN | Image Super-Resolution Using Deep Convolutional Networks |
| 2017 | CVPR workshp | EDSR | Enhanced Deep Residual Networks for Single Image Super-Resolution |
| 2018 | CVPR | RDN | Residual Dense Network for Image Super-Resolution |
| 2021 | ICCV workshop | SwinIR | SwinIR: Image Restoration Using Swin Transformer |