Image super-resolution (SR) is one of the vital image processing methods that improve the
resolution of an image in the field of computer vision. In the last two decades, significant …

Face super-resolution (FSR), also known as face hallucination, which is aimed at enhancing
the resolution of low-resolution (LR) face images to generate high-resolution face images, is …

Facial image manipulation has achieved great progress in recent years. However, previous
methods either operate on a predefined set of face attributes or leave users little freedom to …

Image Super-Resolution (SR) is an important class of image processing techniqueso
enhance the resolution of images and videos in computer vision. Recent years have …

Recent years deep learning-based methods incorporating facial prior knowledge for face
super-resolution (FSR) are advancing and have gained impressive performance. However …

Super-resolution (SR) is by definition ill-posed. There are infinitely many plausible high-
resolution variants for a given low-resolution natural image. Most of the current literature …

Face images are typically a key component in the fields of security and criminal
investigation. However, due to lighting and shooting angles, faces taken under low-light …