Face Image Quality Assessment
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Benchmarks
CGFIQA-40k
PIQ23
Most implemented
Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer
Dual-Branch Network for Portrait Image Quality Assessment
GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes
Papers
Employing Vision-Language Models for Face Image Quality Assessment
Face Image Quality Assessment (FIQA) is a crucial control step in biometric pipelines. It ensures only reliable samples are processed to maintain system accuracy. State-of-the-art FIQA methods achieve high utility but ty…
Face Image Quality AssessmentPreFIQs: Face Image Quality Is What Survives Pruning
Face Image Quality Assessment (FIQA) evaluates the utility of a face image for automated face recognition (FR) systems. In this work, we propose PreFIQs, an unsupervised and training-free FIQA framework grounded in the P…
Face Image Quality AssessmentFace RecognitionFunFace: Feature Utility and Norm Estimation for Face Recognition
Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust and perform well in a variety of setting…
Face Image Quality AssessmentFace RecognitionATTN-FIQA: Interpretable Attention-based Face Image Quality Assessment with Vision Transformers
Face Image Quality Assessment (FIQA) aims to assess the recognition utility of face samples and is essential for reliable face recognition (FR) systems. Existing approaches require computationally expensive procedures su…
Face Image Quality AssessmentFace RecognitionEX-FIQA: Leveraging Intermediate Early eXit Representations from Vision Transformers for Face Image Quality Assessment
Face Image Quality Assessment is crucial for reliable face recognition systems, yet existing Vision Transformer-based approaches rely exclusively on final-layer representations, ignoring quality-relevant information capt…
Face Image Quality AssessmentFace RecognitionViTNT-FIQA: Training-Free Face Image Quality Assessment with Vision Transformers
Face Image Quality Assessment (FIQA) is essential for reliable face recognition systems. Current approaches primarily exploit only final-layer representations, while training-free methods require multiple forward passes …
Face Image Quality AssessmentComputational EfficiencyFace Recognition