TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution-Reference-Cited by-同舟云学术

TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution

Author:

Cai Qing¹^ORCID,Li Jinxing²^ORCID,Li Huafeng³^ORCID,Yang Yee-Hong⁴,Wu Feng⁵,Zhang David¹^ORCID

Affiliation:

1. School of Data Science, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China

2. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China

3. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

4. Department of Computing Science, University of Alberta, Edmonton, Canada

5. School of Information Science and Technology, University of Science and Technology of China, Hefei, China

Funder

National Science Foundation of China

National Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

Shenzhen Science and Technology Program

Shenzhen Research Institute of Big Data

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Natural Sciences and Engineering Research Council of Canada

University of Alberta

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference72 articles.

2. The 2018 PIRM challenge on perceptual image super-resolution;blau;Proc Eur Conf Comput Vis Workshops,2018

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