This narrative review summarizes current knowledge on the use of autologous platelet
concentrates (APCs) in esthetic medicine, with the goal of providing clinicians with reliable …

Abstract 3D face reconstruction is the most captivating topic in biometrics with the advent of
deep learning and readily available graphical processing units. This paper explores the …

To minimize the impact of age variation on face recognition, age-invariant face recognition
(AIFR) extracts identity-related discriminative features by minimizing the correlation between …

Face aging is to render a given face to predict its future appearance, which plays an
important role in the information forensics and security field as the appearance of the face …

Child-face aging and rejuvenation have amassed considerable active research interest,
owing to their immense impact on a broad range of social and security applications, eg …

Face Age Progression (FAP) refers to synthesizing face images while simulating ageing
effects, thus enabling predicting the future appearance of an individual. The generation of …

Generating random photo-realistic images has experienced tremendous growth during the
past few years due to the advances of the deep convolutional neural networks and …

Face aging is of great significance in cross-time identity verification problem. However, there
is still a huge gap between the synthesized face image and the real face in terms of quality …

Existing approaches and datasets for face aging produce results skewed towards the mean,
with individual variations and expression wrinkles often invisible or overlooked in favor of …

Abstract By embracing Generative Adversarial Networks (GAN), several face-related
applications have significantly benefited and achieved unparalleled success. Inspired by the …