Fluid Micelle Network for Image Super-Resolution Reconstruction-Reference-Cited by-同舟云学术

Fluid Micelle Network for Image Super-Resolution Reconstruction

Published:2023-01 Issue:1 Volume:53 Page:578-591
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Zhang Mingjin¹^ORCID,Wu Qianqian¹,Zhang Jing²^ORCID,Gao Xinbo³^ORCID,Guo Jie¹^ORCID,Tao Dacheng⁴^ORCID

Affiliation:

1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, Shaanxi, China

2. School of Computer Science, Faculty of Engineering, The University of Sydney, Darlington, NSW, Australia

3. State Key Laboratory of Integrated Services Networks, School of Electronic Engineering, Xidian University, Xi’an, Shaanxi, China

4. JD Explore Academy, JD.com, Beijing, China

Funder

National Natural Science Foundation of China

Equipment Advance Research Field Fund Project

Shaanxi Province Key Research and Development Program Project

Youth Talent Promotion Project of China Association for Science and Technology

Youth Talent Promotion Project of Shaanxi University Science and Technology Association

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/9998320/09761067.pdf?arnumber=9761067

Reference46 articles.

1. Frequency Separation Network for Image Super-Resolution

2. Neural ordinary differential equations;chen;Advances in neural information processing systems,2018

3. Coarse-to-Fine CNN for Image Super-Resolution

4. Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations

5. Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

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