Deep Learning-based Face Super-Resolution: A Survey

Understand

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 (HR) face images, is a domain-specific image super-resolution problem.

• Recently, FSR has received considerable attention and witnessed dazzling advances with the development of deep learning techniques.
• To date, few summaries of the studies on the deep learning-based FSR are available.
• In this survey, we present a comprehensive review of deep learning-based FSR methods in a systematic manner.