Disparity-Guided Light Field Image Super-Resolution via Feature Modulation and Recalibration
Author:
Affiliation:
1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China
2. College of Intelligence and Computing, Tianjin University, Tianjin, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/11/10241251/10190206.pdf?arnumber=10190206
Reference64 articles.
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3. LFNet: A Novel Bidirectional Recurrent Convolutional Neural Network for Light-Field Image Super-Resolution
4. The 2018 PIRM challenge on perceptual image super-resolution;blau;Proc Eur Conf Comput Vis (ECCV) Workshops,2018
5. Spatial-Angular Interaction for Light Field Image Super-Resolution
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