[19] Meiguang Jin, Zhe Hu, and Paolo Favaro. Learning to extract flawless slow motion from blurry videos. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8112-8121, 2019.
[20] Meiguang Jin, Givi Meishvili, and Paolo Favaro. Learning to extract a video sequence from a single motion-blurred image. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 6334-6342, 2018.
[21] Tae Hyun Kim and Kyoung Mu Lee. Generalized video deblurring for dynamic scenes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 5426-5434, 2015.
[22] Taewoo Kim, Jeongmin Lee, Lin Wang, and Kuk-Jin Yoon. Event-guided deblurring of unknown exposure time videos. In Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XVIII, pages 519-538. Springer, 2022.
[23] Lingshun Kong, Jiangxin Dong, Mingqiang Li, Jianjun Ge, and Jinshan Pan. Efficient frequency domain-based transformers for high-quality image deblurring. arXiv preprint arXiv:2211.12250, 2022.
[24] Dilip Krishnan, Terence Tay, and Rob Fergus. Blind deconvolution using a normalized sparsity measure. In CVPR 2011, pages 233-240. IEEE, 2011.
[25] Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, and Jiri Matas. Deblurgan: Blind motion deblurring using conditional adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 8183-8192, 2018.
[26] Orest Kupyn, Tetiana Martyniuk, Junru Wu, and Zhangyang Wang. Deblurgan-v2: Deblurring (orders-of-magnitude) faster and better. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 8878-8887, 2019.
[27] Martin Laurenzis. Single photon range, intensity and photon flux imaging with kilohertz frame rate and high dynamic range. Optics express, 27(26):38391-38403, 2019.
[28] Anat Levin. Blind motion deblurring using image statistics. In Advances in Neural Information Processing Systems, pages 841-848, 2007.
[29] Anat Levin, Yair Weiss, Fredo Durand, and William T Freeman. Understanding and evaluating blind deconvolution algorithms. In 2009 IEEE Conference on Computer Vision and Pattern Recognition, pages 1964-1971. IEEE, 2009.
[30] Anat Levin, Yair Weiss, Fredo Durand, and William T Freeman. Efficient marginal likelihood optimization in blind deconvolution. In CVPR 2011, pages 2657-2664. IEEE, 2011.
[31] Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, and Luc Van Gool. Vrt: A video restoration transformer. arXiv preprint arXiv:2201.12288, 2022.
[32] Jingyun Liang, Jiezhang Cao, Guolei Sun, Kai Zhang, Luc Van Gool, and Radu Timofte. Swinir: Image restoration using swin transformer. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 1833-1844, 2021.
[33] Patrick Lichtsteiner, Christoph Posch, and Tobi Delbruck. A  $128 \times 128$  120 db  $15\mu s$  latency asynchronous temporal contrast vision sensor. IEEE Journal of Solid-State Circuits, 43(2):566-576, 2008.
[34] Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, and Jimmy Ren. Learning event-driven video deblurring and interpolation. In Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VIII 16, pages 695-710. Springer, 2020.
[35] Yuhao Liu, Felipe Gutierrez-Barragan, Atul Ingle, Mohit Gupta, and Andreas Velten. Single-photon camera guided extreme dynamic range imaging. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 1575–1585, 2022.
[36] Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, et al. Swin transformer v2: Scaling up capacity and resolution. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12009-12019, 2022.
[37] Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo. Swin transformer: Hierarchical vision transformer using shifted windows. In Proceedings of the IEEE/CVF International Conference on Computer Vision, pages 10012-10022, 2021.