CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution-Reference-Cited by-同舟云学术

CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

Published:2023 Issue: Volume:32 Page:1978-1991
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Gao Guangwei¹^ORCID,Xu Zixiang¹,Li Juncheng²^ORCID,Yang Jian³,Zeng Tieyong⁴^ORCID,Qi Guo-Jun⁵^ORCID

Affiliation:

1. IVIP Lab, Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

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

3. School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing, China

4. Department of Mathematics, Center for Mathematical Artificial Intelligence, The Chinese University of Hong Kong, Hong Kong, China

5. Research Center for Industries of the Future and the School of Engineering, Westlake University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Shanghai Sailing Program

Open Fund Project of the Provincial Key Laboratory for Computer Information Processing Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10087319.pdf?arnumber=10087319

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4. Deep Learning for Image Super-Resolution: A Survey

5. Quality assessment method for GAN based on modified metrics inception score and fréchet inception distance;obukhov;Proc Comput Methods Syst Softw,2020

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