https://github.com/soumik12345/aodnet

Tensorflow implementation of An All-in-One Network for Dehazing and Beyond
https://github.com/soumik12345/aodnet

dehazenet dehazing tensorflow2

Last synced: 5 months ago
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Tensorflow implementation of An All-in-One Network for Dehazing and Beyond

• Host: GitHub
• URL: https://github.com/soumik12345/aodnet
• Owner: soumik12345
• License: mit
• Created: 2021-02-07T14:16:22.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-02-22T20:21:00.000Z (over 4 years ago)
• Last Synced: 2025-05-12T13:12:46.623Z (5 months ago)
• Topics: dehazenet, dehazing, tensorflow2
• Language: Jupyter Notebook
• Homepage: https://share.streamlit.io/soumik12345/aodnet/app.py
• Size: 23.4 MB
• Stars: 9
• Watchers: 2
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# AODNet

[![](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/soumik12345/aodnet/app.py)

Tensorflow implementation of [An All-in-One Network for Dehazing and Beyond](https://arxiv.org/pdf/1707.06543.pdf).

![](./assets/aodnet_architecture.jpg)

**Training Notebook:** [![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/soumik12345/AODNet/blob/master/notebooks/AODnet_Train.ipynb)

**Training Logs:** [https://wandb.ai/19soumik-rakshit96/aodnet](https://wandb.ai/19soumik-rakshit96/aodnet)

## Instructions for running Inference

- `python3 -m pip install -r requirements.txt`

- `python3 -m streamlit run app.py`

## Results - Looking Through the Haze of Delhi

![](./assets/sample_1.png)

![](./assets/sample_2.png)

![](./assets/sample_3.png)

![](./assets/sample_4.png)

![](./assets/sample_5.png)

![](./assets/sample_6.png)

![](./assets/sample_7.png)

![](./assets/sample_8.png)

## Reference

```

@misc{

    1707.06543,

    Author = {Boyi Li and Xiulian Peng and Zhangyang Wang and Jizheng Xu and Dan Feng},

    Title = {An All-in-One Network for Dehazing and Beyond},

    Year = {2017},

    Eprint = {arXiv:1707.06543},

}

```