AFD-Former: A Hybrid Transformer With Asymmetric Flow Division for Synthesized View Quality Enhancement-Reference-Cited by-同舟云学术

AFD-Former: A Hybrid Transformer With Asymmetric Flow Division for Synthesized View Quality Enhancement

Published:2023-08 Issue:8 Volume:33 Page:3786-3798
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:

Zhang Xu¹^ORCID,Cai Nian¹^ORCID,Zhang Huan¹^ORCID,Zhang Yun²^ORCID,Di Jianglei³,Lin Weisi⁴^ORCID

Affiliation:

1. School of Information Engineering, Guangdong University of Technology, Guangzhou, China

2. School of Electronics and Communication Engineering, Sun Yat-sen University, Shenzhen, China

3. School of Information Engineering, Advanced Institute of Photonics Technology, and the Guangdong Provincial Key Laboratory of Information Photonics Technology, Guangdong University of Technology, Guangzhou, China

4. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Guangdong Province, China

Basic and Applied Basic Research Foundation of Guangdong Province

Science and Technology Program of Guangzhou, China

Research Fund for Colleges and Universities in Huizhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10207864/10036109.pdf?arnumber=10036109

Reference54 articles.

1. Simple Baselines for Image Restoration

2. Restormer: Efficient Transformer for High-Resolution Image Restoration

3. Learning Enriched Features for Real Image Restoration and Enhancement

4. Selective Kernel Networks

5. Predicting the Quality of View Synthesis With Color-Depth Image Fusion

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