HIPA: Hierarchical Patch Transformer for Single Image Super Resolution-Reference-Cited by-同舟云学术

HIPA: Hierarchical Patch Transformer for Single Image Super Resolution

Author:

Cai Qing¹^ORCID,Qian Yiming²,Li Jinxing³^ORCID,Lyu Jun⁴^ORCID,Yang Yee-Hong⁵^ORCID,Wu Feng⁶,Zhang David⁷^ORCID

Affiliation:

1. Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China

2. Department of Computer Science, University of Manitoba, Winnipeg, Canada

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

4. School of Nursing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

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

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

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

Funder

National Science Foundation of China

Natural Science Foundation of Shandong Province

Qingdao Postdoctoral Innovation Project

Linklogis Joint Laboratory of Computer Vision and Artificial Intelligence, The Chinese University of Hong Kong

Shenzhen Institute of Artificial Intelligence and Robotics for Society

Shenzhen Research Institute of Big Data

Natural Sciences and Engineering Research Council of Canada and the University of Alberta

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference71 articles.

4. Conditional positional encodings for vision transformers;chu;arXiv 2102 10882,2021

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