CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring
Author:
Affiliation:
1. Hefei University of Technology, Hefei, China
2. Zhengzhou University, Zhengzhou, China
3. Harbin Institute of Technology (Shenzhen), Shenzhen, China
4. Sea AI Lab (SAIL) & National University of Singapore, Singapore, Singapore
Funder
National Natural Science Foundation of China
Anhui Provincial Natural Science Fund for Distinguished Young Scholars
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3503161.3547962
Reference50 articles.
1. Single-image blind deblurring using multi-scale latent structure prior;Bai Yuanchao;IEEE Trans. Circuits Syst. Video Technol.,2019
2. Axial Chromatic Aberration of the Human Eye
3. Siavash Arjomand Bigdeli , Meiguang Jin , Paolo Favaro , and Matthias Zwicker . 2017 . Deep mean-shift priors for image restoration . Proceedings of the Advances in Neural Information Processing Systems , Long Beach, CA, USA (2017). Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro, and Matthias Zwicker. 2017. Deep mean-shift priors for image restoration. Proceedings of the Advances in Neural Information Processing Systems, Long Beach, CA, USA (2017).
4. Blind Image Deblurring With Local Maximum Gradient Prior
5. OID: Outlier Identifying and Discarding in Blind Image Deblurring
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