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Implementation of All-In-One-Dehazing Network in Tensorflow V2.

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sanchitvj/AOD-net-using-TF-v2

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Image Dehazing using AOD net

Requirements:

  • Python (Version 3.6.9)
  • Tensorflow (Version 2+)
  • GPU used: Nvidia K80 (provided by colab)

Training of model is done.
Tasks remaining:

  1. Testing on real images.
  2. Prepare Documentation.
  3. Add references.

In case if notebook isn't loading here, click this link: https://nbviewer.jupyter.org/github/sanchitvj/AOD-net-using-TF-v2/blob/master/dehazing_using_tf2.ipynb

Architecture

AOD_architecture

Citation

@InProceedings{Li_2017_ICCV,
author = {Li, Boyi and Peng, Xiulian and Wang, Zhangyang and Xu, Jizheng and Feng, Dan},
title = {AOD-Net: All-In-One Dehazing Network},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}

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