XintianMao1997/UniMotionDeblur

This is the preprocessed dataset for UniDeblur: Unified Motion Deblurring via Fourier Convolution Learning

Citation

If you use UniDeblur, please consider citing:

@inproceedings{xintm2026UniDeblur, 
    title = {Unified Motion Deblurring via Fourier Convolution Learning},
    author = {Xintian Mao, Jiansheng Wang, Huaiyuan Wang, Qingli Li, Yan Wang}, 
    booktitle = {arXiv:2610.12941}, 
    year = {2026}
    }

Citation for Datasets

If you use these datasets, please cite:

@inproceedings{nah2017GoPro,
  author    = {Seungjun Nah and
               Tae Hyun Kim and
               Kyoung Mu Lee},
  title     = {Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring},
  booktitle = {Proc. CVPR},
  year      = {2017},
  pages={3883-3891}
}

@inproceedings{Shen2019HIDE,
  author    = {Ziyi Shen and
               Wenguan Wang and
               Xiankai Lu and
               Jianbing Shen and
               Haibin Ling and
               Tingfa Xu and
               Ling Shao},
  title     = {Human-Aware Motion Deblurring},
  booktitle = {Proc. ICCV},
  year      = {2019},

}

@inproceedings{Rim2020RealBlur,
  author    = {Jaesung Rim and
               Haeyun Lee and
               Jucheol Won and
               Sunghyun Cho},
  title     = {Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms},
  booktitle = {Proc. ECCV},
  year      = {2020},
pages={184--201},
}

@inproceedings{Nah2021REDS,
  author    = {Seungjun Nah and
               Sanghyun Son and
               Suyoung Lee and
               Radu Timofte and
               Kyoung Mu Lee},
  title     = {{NTIRE} 2021 Challenge on Image Deblurring},
  booktitle = {Proc. CVPR Workshop},
  year      = {2021},
}

@inproceedings{rim2022RSBlur,
  title={Realistic blur synthesis for learning image deblurring},
  author={Rim, Jaesung and Kim, Geonung and Kim, Jungeon and Lee, Junyong and Lee, Seungyong and Cho, Sunghyun},
  booktitle={Proc. ECCV},
  pages={487--503},
  year={2022}
}

@inproceedings{zhou2022LOLBlur,
  title={Lednet: Joint low-light enhancement and deblurring in the dark},
  author={Zhou, Shangchen and Li, Chongyi and Change Loy, Chen},
  booktitle = {Proc. ECCV},
  pages={573--589},
  year={2022}
}

@article{zhong2023BSD,
  title={Real-world video deblurring: A benchmark dataset and an efficient recurrent neural network},
  author={Zhong, Zhihang and Gao, Ye and Zheng, Yinqiang and Zheng, Bo and Sato, Imari},
  journal={IJCV},
  volume={131},
  number={1},
  pages={284--301},
  year={2023},
  publisher={Springer}
}

@inproceedings{ciubotariu2025MIORe,
  title={Miore \& var-miore: Benchmarks to push the boundaries of restoration},
  author={Ciubotariu, George and Zhou, Zhuyun and Wu, Zongwei and Timofte, Radu},
  booktitle={Proc. ICCV},
  pages={19784--19793},
  year={2025}
}

@inproceedings{li2025FoundIR,
  title={Foundir: Unleashing million-scale training data to advance foundation models for image restoration},
  author={Li, Hao and Chen, Xiang and Dong, Jiangxin and Tang, Jinhui and Pan, Jinshan},
  booktitle={Proc. ICCV},
  pages={12626--12636},
  year={2025}
}