Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces

Joint Super-Resolution and Head Pose Estimation for Extreme Low-Resolution Faces

State-of-the-art deep learning-based Head Pose Estimation (HPE) techniques have reached spectacular performance on High-Resolution (HR) face images. However, they still fail to achieve expected performance on low-resolution images at large scales. This work presents an end-to-end HPE framework assis...

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Bibliographic Details
Main Authors: Sahar Rahimi Malakshan, Mohammad Saeed Ebrahimi Saadabadi, Moktari Mostofa, Sobhan Soleymani, Nasser M. Nasrabadi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Head pose estimation (HPE)
face super-resolution (FSR)
multi-stage generative adversarial networks (MSGAN)
low-resolution (LR) face images
Online Access:https://ieeexplore.ieee.org/document/10034761/

Internet

https://ieeexplore.ieee.org/document/10034761/

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