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CVPR 2021

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

<pre> @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} } </pre>

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