Winner solution on the MIPI 2022 Challenge on Under-display Camera Image Restoration
Our team (USTC_WXYZ) wins the MIPI 2022 Challenge on Under-display Camera Image Restoration!
- Pytorch (1.8+)
Testing on the Challendge Dataset
Prepare the testing data: put the testing data into './test_data' folder.
To test our model , run the command: "python testing.py"
Then, the processed results will be saved in './results' folder.
**Note that the pre-trained model has been saved in './ckpt' folder. And the pre-trained model is trained on the datasets privided by the challenge.
The testing results of the MIPI 2022 Challenge also could be downloaded from here.
Testing on the OTLED Dataset
Thanks to the great efforts of the open-sourced projects MIMOUNet.