git clone --recurse-submodules (this repo)
cd $REPO_NAME/code
(use python >= 3.6)
python3 -m venv sinforkgan-env
source sinforkgan-env/bin/activate
pip3 install -r requirements.txt

code/
  translation/
    train.py
  ...
datasets/
  bdd100k/
   train/
    class_color/
     ...
    raw_images/
     0a1a0c5d-8098f13f.jpg
     ...
   val/
    class_color/
     ...
    raw_images/
     ...
  dark-zurich/
   train/
   val/
    ...
    GOPRO0356_000488_rgb_anon.png
  ex-dark/
    ...
    Bicycle/
    ...
     2015_06850.jpg
    Boat/
    ...
  raidar/
   Part1/
    Part1.1/
     00001593/
      00001593.jpg
   ...
   Part2/
   ...

code/
  translation/
    train.py
datasets/
  bdd100k/
    train/
      0a1z0c5d-8098f13f.jpg
      ...
    val/
    test/
  dark-zurich/
    train/
      GOPRO0356_000488_rgb_anon.png
      ...
    val/
    test/
  ex-dark/
   train/
     2015_06850.jpg
     ...
    val/
    test/
  raidar/
    train/
      00001593.jpg
      ...
    val/
    test/

cd code/translation 
python3 cli.py train

cd code/translatino
python3 cli.py evaluate --ckpt_name=$CKPT_NAME

cd code/translation
python3 cli.py infer --ckpt_name=$CKPT_NAME

cd test
./imgcat results/(name/of/file.png)

@article{enlighten,
  author={Jiang, Yifan and Gong, Xinyu and Liu, Ding and Cheng, Yu and Fang, Chen and Shen, Xiaohui and Yang, Jianchao and Zhou, Pan and Wang, Zhangyang},
  journal={IEEE Transactions on Image Processing}, 
  title={EnlightenGAN: Deep Light Enhancement Without Paired Supervision}, 
  year={2021}
}


@article{wei2018deep,
  title={Deep retinex decomposition for low-light enhancement},
  author={Wei, Chen and Wang, Wenjing and Yang, Wenhan and Liu, Jiaying},
  journal={arXiv preprint arXiv:1808.04560},
  year={2018}
}

@article{goodfellow2014,
  title={Generative adversarial networks},
  author={Goodfellow, Ian J and Pouget-Abadie, Jean and Mirza, Mehdi and Xu, Bing and Warde-Farley, David and Ozair, Sherjil and Courville, Aaron and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1406.2661},
  year={2014}
}

@inproceedings{srgan2017,
  title={Photo-realistic single image super-resolution using a generative adversarial network},
  author={Ledig, Christian and Theis, Lucas and Husz{\'a}r, Ferenc and Caballero, Jose and Cunningham, Andrew and Acosta, Alejandro and Aitken, Andrew and Tejani, Alykhan and Totz, Johannes and Wang, Zehan and others},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4681--4690},
  year={2017}
}

@article{wu2021contrastive,
  title={Contrastive Learning for Compact Single Image Dehazing},
  author={Wu, Haiyan and Qu, Yanyun and Lin, Shaohui and Zhou, Jian and Qiao, Ruizhi and Zhang, Zhizhong and Xie, Yuan and Ma, Lizhuang},
  journal={arXiv preprint arXiv:2104.09367},
  year={2021}
}

@inproceedings{johnson2016perceptual,
  title={Perceptual losses for real-time style transfer and super-resolution},
  author={Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li},
  booktitle={European conference on computer vision},
  pages={694--711},
  year={2016},
  organization={Springer}
}

@inproceedings{mao2017least,
  title={Least squares generative adversarial networks},
  author={Mao, Xudong and Li, Qing and Xie, Haoran and Lau, Raymond YK and Wang, Zhen and Paul Smolley, Stephen},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2794--2802},
  year={2017}
}

@inproceedings{liu2019unsupervised,
  title={Unsupervised Single Image Dehazing via Disentangled Representation},
  author={Liu, Qian},
  booktitle={Proceedings of the 3rd International Conference on Video and Image Processing},
  pages={106--111},
  year={2019}
}

@article{zheng2020forkgan,
  title={ForkGAN: Seeing into the rainy night},
  author={Zheng, Ziqiang and Wu, Yang and Han, Xinran and Shi, Jianbo},
  year={2020}
}

@inproceedings{tsai2018learning,
  title={Learning to adapt structured output space for semantic segmentation},
  author={Tsai, Yi-Hsuan and Hung, Wei-Chih and Schulter, Samuel and Sohn, Kihyuk and Yang, Ming-Hsuan and Chandraker, Manmohan},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={7472--7481},
  year={2018}
}

@article{asokan2020teaching,
  title={Teaching a GAN What Not to Learn},
  author={Asokan, Siddarth and Seelamantula, Chandra Sekhar},
  journal={arXiv preprint arXiv:2010.15639},
  year={2020}
}

@inproceedings{zhu2017unpaired,
  title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2223--2232},
  year={2017}
}

@inproceedings{krull2019,
  title={Noise2void-learning denoising from single noisy images},
  author={Krull, Alexander and Buchholz, Tim-Oliver and Jug, Florian},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2129--2137},
  year={2019}
}

@inproceedings{noise2self,
  title={Noise2self: Blind denoising by self-supervision},
  author={Batson, Joshua and Royer, Loic},
  booktitle={International Conference on Machine Learning},
  pages={524--533},
  year={2019},
  organization={PMLR}
}

@article{neighbor2neighbor,
  title={Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images},
  author={Huang, Tao and Li, Songjiang and Jia, Xu and Lu, Huchuan and Liu, Jianzhuang},
  journal={arXiv preprint arXiv:2101.02824},
  year={2021}
}

@article{versatile,
  title={Versatile auxiliary classifier with generative adversarial network (vac+ gan), multi class scenarios},
  author={Bazrafkan, Shabab and Corcoran, Peter},
  journal={arXiv preprint arXiv:1806.07751},
  year={2018}
}

@inproceedings{conditional,
  title={Conditional image synthesis with auxiliary classifier gans},
  author={Odena, Augustus and Olah, Christopher and Shlens, Jonathon},
  booktitle={International conference on machine learning},
  pages={2642--2651},
  year={2017},
  organization={PMLR}
}

@inproceedings{mao2017least,
  title={Least squares generative adversarial networks},
  author={Mao, Xudong and Li, Qing and Xie, Haoran and Lau, Raymond YK and Wang, Zhen and Paul Smolley, Stephen},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2794--2802},
  year={2017}
}

@inproceedings{zhu2017unpaired,
  title={Unpaired image-to-image translation using cycle-consistent adversarial networks},
  author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={2223--2232},
  year={2017}
}

@misc{jin2018unsupervised,
      title={Unsupervised Single Image Deraining with Self-supervised Constraints}, 
      author={Xin Jin and Zhibo Chen and Jianxin Lin and Zhikai Chen and Wei Zhou},
      year={2018}
}
      
,@misc{sakaridis2019guided,
      eprint={1811.08575},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{dark-zurich,
      title={Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation}, 
      author={Christos Sakaridis and Dengxin Dai and Luc Van Gool},
      year={2019},
      eprint={1901.05946},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{raidar,
      title={RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes}, 
      author={Jiongchao Jin and Arezou Fatemi and Wallace Lira and Fenggen Yu and Biao Leng and Rui Ma and Ali Mahdavi-Amiri and Hao Zhang},
      year={2021},
      eprint={2104.04606},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{bdd100k,
      title={BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning}, 
      author={Fisher Yu and Haofeng Chen and Xin Wang and Wenqi Xian and Yingying Chen and Fangchen Liu and Vashisht Madhavan and Trevor Darrell},
      year={2020},
      eprint={1805.04687},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@misc{exdark,
      title={Getting to Know Low-light Images with The Exclusively Dark Dataset}, 
      author={Yuen Peng Loh and Chee Seng Chan},
      year={2018},
      eprint={1805.11227},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}