3DAttGAN: A 3D Attention-Based Generative Adversarial Network for Joint Space-Time Video Super-Resolution-Reference-Cited by-同舟云学术

3DAttGAN: A 3D Attention-Based Generative Adversarial Network for Joint Space-Time Video Super-Resolution

Published:2024-08 Issue:4 Volume:8 Page:3117-3128
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Fu Congrui¹^ORCID,Yuan Hui¹^ORCID,Shen Liquan²^ORCID,Hamzaoui Raouf³^ORCID,Zhang Hao⁴^ORCID

Affiliation:

1. School of Control Science and Engineering, Shandong University, Jinan, China

2. School of Communication and Information Engineering, Shanghai University, Shanghai, China

3. School of Engineering and Sustainable Development, De Montfort University, Leicester, U.K.

4. School of Information and Control Engineering, Qingdao University of Technology, Qingdao, China

Funder

National Natural Science Foundation of China

High-end Foreign Experts Recruitment Plan of Chinese Ministry of Science and Technology

Taishan Scholar Project of Shandong Province

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference59 articles.