ID Preserving Face Super-Resolution Generative Adversarial Networks

ID Preserving Face Super-Resolution Generative Adversarial Networks

We propose an ID Preserving Face Super-Resolution Generative Adversarial Networks (IP-FSRGAN) to reconstruct realistic super-resolution face images from low-resolution ones. Inspired by the success of generative adversarial networks (GAN), we introduce a novel ID preserving module to help the genera...

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Bibliographic Details
Main Authors: Jinning Li, Yichen Zhou, Jie Ding, Cen Chen, Xulei Yang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
ID preserving
face super-resolution
generative adversarial networks
face verification
Online Access:https://ieeexplore.ieee.org/document/9146819/

Internet

https://ieeexplore.ieee.org/document/9146819/

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