Face Quality Assessement

3 papers with code • 3 benchmarks • 3 datasets

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Most implemented papers

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.