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DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks

  • Published:2022-11 Issue:11 Volume:32 Page:7418-7431
  • ISSN:1051-8215
  • Container-title:IEEE Transactions on Circuits and Systems for Video Technology
  • language:
  • Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Liu Ziyang1ORCID,Li Zhengguo2ORCID,Wu Xingming1ORCID,Liu Zhong1,Chen Weihai3ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. SRO Department, Institute for Infocomm Research, Fusionopolis Way, Singapore

3. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

Funder

Special Funding for Top Talents of Shandong Province

Key Research and Development Program of Zhejiang Province

National Natural Science Foundation of China

Foundation of Strengthening Program Technology Fund Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

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1. Enhanced local distribution learning for real image super-resolution;Computer Vision and Image Understanding;2024-10

2. SSRT: Intra- and cross-view attention for stereo image super-resolution;Multimedia Tools and Applications;2024-08-09

3. Fine‐grained spectrum map inference: A novel approach based on deep residual network;IET Communications;2024-07-19

4. SwinIT: Hierarchical Image-to-Image Translation Framework Without Cycle Consistency;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

5. Statistics Enhancement Generative Adversarial Networks for Diverse Conditional Image Synthesis;IEEE Transactions on Circuits and Systems for Video Technology;2024-07
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