Sequential Affinity Learning for Video Restoration-Reference-Cited by-同舟云学术

Sequential Affinity Learning for Video Restoration

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Ye Tian¹^ORCID,Chen Sixiang¹^ORCID,Liu Yun²^ORCID,Chai Wenhao³^ORCID,Bai Jinbin⁴^ORCID,Zou Wenbin⁵^ORCID,Zhang Yunchen⁶^ORCID,Jiang Mingchao⁷^ORCID,Chen Erkang⁸^ORCID,Xue Chenghao⁸^ORCID

Affiliation:

1. The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

2. Southwest University, Chongqing, China

3. University of Washington, Seattle , China

4. National University of Singapore, Singapore, Singapore

5. South China University of Technology, Guangzhou, China

6. Fujian Normal University, Fuzhou, China

7. GAC R&D Center, Guangzhou, China

8. Jimei University, Xiamen, China

Funder

Xiamen Ocean and Fisheries Development Special Funds

Natural Science Foundation of Fujian Province

Youth Science and Technology Innovation Program of Xiamen Ocean and Fisheries Development Special Funds

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611742

Reference90 articles.

1. Jiezhang Cao , Yawei Li , Kai Zhang , Jingyun Liang , and Luc Van Gool . 2021. Video super-resolution transformer. arXiv preprint arXiv:2106.06847 ( 2021 ). Jiezhang Cao, Yawei Li, Kai Zhang, Jingyun Liang, and Luc Van Gool. 2021. Video super-resolution transformer. arXiv preprint arXiv:2106.06847 (2021).

2. VDTR: Video Deblurring With Transformer

3. Deep Vision Multimodal Learning: Methodology, Benchmark, and Trend

4. BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

5. BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment