Face Quality Assessement

3 papers with code • 3 benchmarks • 3 datasets

Estimate the usability of a given face image for recognition

Most implemented papers

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

pterhoer/FaceImageQuality 20 Mar 2020

Face image quality is an important factor to enable high performance face recognition systems.

MagFace: A Universal Representation for Face Recognition and Quality Assessment

IrvingMeng/MagFace CVPR 2021

This paper proposes MagFace, a category of losses that learn a universal feature embedding whose magnitude can measure the quality of the given face.

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

fdbtrs/cr-fiqa CVPR 2023

Based on that, our proposed CR-FIQA uses this paradigm to estimate the face image quality of a sample by predicting its relative classifiability.