For academic use only

CVPR 2021

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

@InProceedings{Pan_2021_CVPR,   
author = {Pan, Liyuan and Chowdhury, Shah and Hartley, Richard and Liu, Miaomiao and Zhang, Hongguang and Li, Hongdong},  
title = {Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration},  
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},   
month = {June},   
year = {2021},  
pages = {4340-4349} 
}

How to use - DATASET

The codes are tested in MATLAB 2020a (64bit) under ubuntu 20.04 LTS 64bit version.

1. Download the NYU dataset.
2. Run "simulator_dp_nyu_trainingdata.m" and "simulator_dp_nyu_testingdata.m" to get the training and testing set.

How to use - DDDNet

1. Make sure the '--input_test_file' is right.
2. Run 'dual_pixel_test.py' and 'dual_pixel_test_MB.py' to get the result of our-sys and DPD-blur dataset.
3. For the DPD-blur dataset, the result for the original resolution images is 25.4136 / 0.8394 in PSNR/SSIM.

Notes

Should you have any questions regarding this code and the corresponding results, please contact Liyuan.Pan@anu.edu.au