Deep Image and Kernel Prior Learning for Blind Super-Resolution-Reference-Cited by-同舟云学术

Deep Image and Kernel Prior Learning for Blind Super-Resolution

Published:2022-12-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th ACM International Conference on Multimedia in Asia
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Author:

Yamawaki Kazuhiro¹,Han Xian-Hua¹

Affiliation:

1. Yamaguchi University, Yamaguchi, Yamaguchi, JAPAN

Funder

The Grant-in Aid for Scientific Research from the Japanese Ministry for Education, Science, Culture and Sports (MEXT) under the Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551626.3564958

Reference50 articles.

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3. Wei-Sheng Lai , Jia-Bin Huang , Narendra Ahuja and Ming-Hsuan Yang, "Deep laplacian pyramid networks for fast and accurate superresolution," CVPR , 2017 . Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja and Ming-Hsuan Yang, "Deep laplacian pyramid networks for fast and accurate superresolution," CVPR, 2017.

4. Chao Dong , Chen Change Loy , Kaiming He and Xiaoou Tang , "Image super-resolution using deep convolutional networks," pages 295--307 , CVPR , 2016 . Chao Dong, Chen Change Loy, Kaiming He and Xiaoou Tang, "Image super-resolution using deep convolutional networks," pages 295--307, CVPR, 2016.

5. Wenzhe Shi , Jose Caballero , Ferenc Huszar , Johannes Totz , Andrew P. Aitken , Rob Bishop , Daniel Rueckert and Zehan Wang , "Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network," pages 1874--1883 , CVPR , 2016 . Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert and Zehan Wang, "Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network," pages 1874--1883, CVPR, 2016.

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