Joint Motion Deblurring and Super-Resolution for Single Image Using Diffusion Model and GAN
Author:
Affiliation:
1. School of Science, Jimei University, Xiamen, China
2. Department of Computer Science and Technology, Xiamen University, Xiamen, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Fujian Province
National Key Research and Development Program of China
CCF-Lenovo Blue Ocean Research Fund
Jimei University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/97/10380231/10449395.pdf?arnumber=10449395
Reference39 articles.
1. From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution
2. Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
3. Deep Constrained Least Squares for Blind Image Super-Resolution
4. Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution
5. Knowledge distillation based degradation estimation for blind super-resolution;Xia,2023
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