An Efficient Latent Style Guided Transformer-CNN Framework for Face Super-Resolution
Author:
Affiliation:
1. School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
2. Department of Mathematics and Theories, Peng Cheng Laboratory, Shenzhen, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10145603.pdf?arnumber=10145603
Reference58 articles.
1. Super-resolution for biometrics: A comprehensive survey
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5. Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment
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