Face Image Quality

Face image quality assessment (FIQA) focuses on evaluating the suitability of facial images for applications like face recognition and biometric authentication. Current research emphasizes developing robust FIQA methods that are less sensitive to factors like image alignment, illumination, and skin tone, often employing transformer-based architectures and knowledge distillation techniques to improve accuracy and generalization. These advancements are crucial for enhancing the reliability and fairness of face recognition systems and improving the performance of downstream tasks reliant on high-quality facial images, such as beauty product recommendations and video compression.