Jul 11, 2022 · Based on the database, we further propose a novel deep learning model to accurately predict face image quality, which, for the first time, ...

Based on the database, we further propose a novel deep learning model to accurately predict face image quality, which, for the first time, explores the use of ...

The largest annotated IQA database developed to date is introduced, which contains 20,000 human faces – an order of magnitude larger than all existing rated ...

Based on the database, we further propose a novel deep learning model to accurately predict face image quality, which, for the first time, explores the use of ...

Based on the database, we further propose a novel deep learning model, which re-purposes generative prior features for predicting subjective face quality. By ...

Based on the database, we further propose a novel deep learning model, which re-purposes generative prior features for predicting subjective face quality. By ...

We created the largest IQA database of human faces in-the-wild called the Generic face image quality assessment 20k database (GFIQA-20k).

Oct 24, 2022 · Based on the database, we further propose a novel deep learning model to accurately predict face image quality, which, for the first time, ...

Jul 11, 2022 · Based on the database, we further propose a novel deep learning model, which re-purposes generative prior features for predicting subjective ...

Going the extra mile in face image quality assessment: A novel database and model. S Su, H Lin, V Hosu, O Wiedemann, J Sun, Y Zhu, H Liu, Y Zhang, ... IEEE ...