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Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

Python 100.00%

doubledip's Introduction

Double Dip

Official implementation of the paper "Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors.

Paper: http://www.wisdom.weizmann.ac.il/~vision/DoubleDIP/resources/DoubleDIP.pdf

Project page: http://www.wisdom.weizmann.ac.il/~vision/DoubleDIP/


sketch

If you find our work useful in your research or publication, please cite it:

@article{DoubleDIP,
author = {Gandelsman, Yossi and Shocher, Assaf and Irani, Michal},
year = {2019},
month = {6},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
title = {"Double-DIP": Unsupervised Image Decomposition via Coupled Deep-Image-Priors}
}

Further comments:

The airlight estimation in the dehazing part of the code uses the code provided by "Blind Dehazing Using Internal Patch Recurrence".

The code is provided as-is for academic use only and without any guarantees. Please contact the author to report any bugs.

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