Awesome
KPAC-Net (Retrained Version)
This repository offers the retrained version of KPAC network using the training strategy mentioned in the following paper.
<p align="left"> <a> <img src="./assets/performance_gain.png" width="50%" alt="teaser figure"> </a><br> </p> <!-- <img src="./assets/performance_gain.png" width="50%" alt="teaser figure"> -->Learning to Deblur using Light Field Generated and Real Defocused Images<br> Lingyan Ruan<sup>*</sup>, Bin Chen<sup>*</sup>, Jizhou Li, Miuling Lam （* equal contribution）<br> IEEE Computer Vision and Pattern Recognition (CVPR Oral) 2022
The orignial KPAC-Net can be found Here .
Code Here
Prerequisites
Notes: the code may also work with other library versions that didn't specify here.
Table 4 in our main paper.
1. Installation
Clone this project to your local machine
$ git clone https://github.com/lingyanruan/KPAC-Net.git
$ cd KPAC-Net
2. Pre-trained models
Download and unzip pretrained weights under ./ModelCheckpoints/:
3. Datasets
Download and unzip test sets DPDD under folder ./DPD/
4. Command Line
python Eval.py
Contact
Should you have any questions, please open an issue or contact me lyruanruan@gmail.com
License
This software is being made available under the terms in the LICENSE file.