Face Image Super Resolution using a Generative Adversarial Network

• Published in: 2021 Smart Technologies, Communication and Robotics (STCR) pp. 1 - 8
• Main Authors: Varma, Kavya, Reddy, G. Satyabhama, Subramanyam, Natarajan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 09.10.2021
• Subjects: Deep learning; Face recognition; Facial Enhancement; Feature extraction; Generative adversarial networks; Image recognition; Image resolution; Image Super Resolution; Mathematical models; SRGAN

Traditional image super resolution centered around purely mathematical models are capable of creating gradient based textures, but fail to render the specific lineaments that would be expected in a realistically upscaled image. This is especially problematic in scenarios involving images of subjects...