Global attention guided multi-scale network for face image super-resolution-Reference-Cited by-同舟云学术

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Global attention guided multi-scale network for face image super-resolution

Published:2023-09-16 Issue:6 Volume:34 Page:
ISSN:0932-8092
Container-title:Machine Vision and Applications
language:en
Short-container-title:Machine Vision and Applications

Author:

Zhang Jinlu,Liu Mingliang,Wang Xiaohang

Funder

Natural Science Foundation of Heilongjiang Province of China.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s00138-023-01460-9.pdf

Reference44 articles.

1. Liang, J., Cao, J., Sun, G., Zhang, K., Van Gool, L., Timofte, R.: Swinir: Image restoration using swin transformer. In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 1833–1844 (2021)

2. Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Patt. Anal. Mach. Intell. 38(2), 295–307 (2015)

3. Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1646–1654 (2016)

4. Dong, C., Loy, C.C., He, K., Tang, X.: Learning a deep convolutional network for image super-resolution. In: European Conference on Computer Vision. Springer: London (2014) pp 184–199

5. Zhou, E., Fan, H., Cao, Z., Jiang, Y., Yin, Q.: Learning face hallucination in the wild. In: Twenty-ninth AAAI Conference on Artificial Intelligence (2015)

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