This is the official repository of the paper: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability.

Official repository of the paper DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models in proceedings of IEEE International ...

Face Image Quality Assessment (FIQA) is pivotal for guaranteeing the accuracy of face recognition in unconstrained environments. Recent progress in deep quality ...

In this paper, we propose a novel approach to face image quality assessment, called FaceQAN, that is based on adversarial examples and relies on the analysis of ...

This is the official repository of "eDifFIQA: Towards Efficient Face Image Quality Assessment based on Denoising Diffusion Probabilistic Models" accepted in ...

LightQNet: Lightweight Face Image Quality Assessment for Risk-Controlled Face Recognition. This is a demo code of the lightqnet.

FaceQgen is aa face quality assessment method based on GANs capable of inferring quality directly from face images.

Train regression model on extracted pseudo- quality labels. Model based: Combine recognition and quality estimation tasks. Existing solutions.

Face image quality assessment for face selection in surveillance video using convolutional neural networks

The OFIQ (Open Source Face Image Quality) is a software library for computing quality aspects of a facial image. OFIQ is written in the C/C++ programming ...