A dual branch attention network based on practical degradation model for face super resolution
Abstract In recent years, the field of face super-resolution (FSR) has advanced rapidly.However, complex degradation factors in real-world scenarios can severely deteriorate image quality, significantly affecting the reconstruction performance of FSR methods.Currently, there is a lack of research on degradation modeling for real-world facial images