FAPN: Face Alignment Propagation Network for Face Video Super-Resolution-Reference-Cited by-同舟云学术

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FAPN: Face Alignment Propagation Network for Face Video Super-Resolution

Published:2023 Issue: Volume: Page:3-18
ISSN:0302-9743
Container-title:Computer Vision – ACCV 2022 Workshops
language:
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Author:

Bian Sige^ORCID,Li He^ORCID,Yu Feng,Liu Jiyuan,Changjun Song,Tang Yongming^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-27066-6_1

Reference28 articles.

1. Wang, M., Deng, W.: Deep face recognition: a survey. Neurocomputing 429, 215–244 (2021)

2. Farooq, M., Dailey, M., Mahmood, A., Moonrinta, J., Ekpanyapong, M.: Human face super-resolution on poor quality surveillance video footage. Neural Comput. Appl. 33, 13505–13523 (2021)

3. Yu, F., Li, H., Bian, S., Tang, Y.: An efficient network design for face video super-resolution. In: 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), pp. 1513–1520 (2021)

4. Haris, M., Shakhnarovich, G., Ukita, N.: Recurrent back-projection network for video super-resolution. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3892–3901 (2019)

5. Wang, X., Chan, K.C., Yu, K., Dong, C., Loy, C.C.: EDVR: video restoration with enhanced deformable convolutional networks. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1954–1963 (2019)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A ‘deep’ review of video super-resolution;Signal Processing: Image Communication;2024-11

2. Unsupervised Video Face Super-Resolution via Untrained Neural Network Priors;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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