/Optical-Flow-in-the-Dark

(CVPR2020 PAMI2021) Optical Flow in the Dark

Primary LanguagePythonMIT LicenseMIT

Optical Flow in the Dark

Conference Paper

Journal Paper

Setup

Pretrained Models

See PWCNet_OFDark and FlowNet_OFDark for details.

Dataset

See VBOF_dataset for details.

See FCDN_dataset for details.

Test the models

Please download our pretrained PWCNet_OFDark and FlowNet_OFDark models and follow the instructions in the original PWC-Net and FlowNet repositories to test the models on our VBOF_dataset.

Citation

@inproceedings{zheng2020optical,
  title={Optical Flow in the Dark},
  author={Zheng, Yinqiang and Zhang, Mingfang and Lu, Feng},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={6749--6757},
  year={2020}
}

@ARTICLE{9626625,
  author={Zhang, Mingfang and Zheng, Yinqiang and Lu, Feng},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Optical Flow in the Dark}, 
  year={2022},
  volume={44},
  number={12},
  pages={9464-9476},
  doi={10.1109/TPAMI.2021.3130302}
}