Deep Face Restoration: A Survey

Understand

Face Restoration (FR) aims to restore High-Quality (HQ) faces from Low-Quality (LQ) input images, which is a domain-specific image restoration problem in the low-level computer vision area.

• The early face restoration methods mainly use statistical priors and degradation models, which are difficult to meet the requirements of real-world applications in practice.
• In recent years, face restoration has witnessed great progress after stepping into the deep learning era.
• However, there are few works to systematically study the deep learning based face restoration methods.