Face image quality assessment: A literature survey
The performance of face analysis and recognition systems depends on the quality of the
acquired face data, which is influenced by numerous factors. Automatically assessing the …
acquired face data, which is influenced by numerous factors. Automatically assessing the …
A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
CR-FIQA: face image quality assessment by learning sample relative classifiability
Face image quality assessment (FIQA) estimates the utility of the captured image in
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
achieving reliable and accurate recognition performance. This work proposes a novel FIQA …
Facetalk: Audio-driven motion diffusion for neural parametric head models
We introduce FaceTalk a novel generative approach designed for synthesizing high-fidelity
3D motion sequences of talking human heads from input audio signal. To capture the …
3D motion sequences of talking human heads from input audio signal. To capture the …
Qmagface: Simple and accurate quality-aware face recognition
In this work, we propose QMagFace, a simple and effective face recognition solution
(QMagFace) that combines a quality-aware comparison score with a recognition model …
(QMagFace) that combines a quality-aware comparison score with a recognition model …
Promptiqa: Boosting the performance and generalization for no-reference image quality assessment via prompts
Due to the diversity of assessment requirements in various application scenarios for the IQA
task, existing IQA methods struggle to directly adapt to these varied requirements after …
task, existing IQA methods struggle to directly adapt to these varied requirements after …
Troubleshooting ethnic quality bias with curriculum domain adaptation for face image quality assessment
Abstract Face Image Quality Assessment (FIQA) lays the foundation for ensuring the stability
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
and accuracy of face recognition systems. However, existing FIQA methods mainly formulate …
Blind image quality assessment via cross-view consistency
Image quality assessment (IQA) is very important for both end-users and service-providers
since a high-quality image can significantly improve the user's quality of experience (QoE) …
since a high-quality image can significantly improve the user's quality of experience (QoE) …
Reconstruct face from features based on genetic algorithm using GAN generator as a distribution constraint
Face recognition based on deep convolutional neural networks (CNN) shows superior
accuracy performance attributed to the high discriminative features extracted. Yet, the …
accuracy performance attributed to the high discriminative features extracted. Yet, the …
Recognizability embedding enhancement for very low-resolution face recognition and quality estimation
Very low-resolution face recognition (VLRFR) poses unique challenges, such as tiny regions
of interest and poor resolution due to extreme standoff distance or wide viewing angle of the …
of interest and poor resolution due to extreme standoff distance or wide viewing angle of the …