Face Super-Resolution Reconstruction Based on Self-Attention Residual Network

Face Super-Resolution Reconstruction Based on Self-Attention Residual Network

Aiming at the problems of the face image super-resolution reconstruction method based on convolutional neural network, such as single feature extraction scale, low utilization rate of features and blurred face images texture, a model combining convolutional neural network with self-attention mechani...

Full description

Bibliographic Details
Main Authors: Qing-Ming Liu, Rui-Sheng Jia, Chao-Yue Zhao, Xiao-Ying Liu, Hong-Mei Sun, Xing-Li Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Face super-resolution reconstruction
convolutional neural network
self-attention mechanism
residual network
Online Access:https://ieeexplore.ieee.org/document/8945215/

Internet

https://ieeexplore.ieee.org/document/8945215/

Similar Items