DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration

Understand

Blind face restoration (BFR) is important while challenging.

• Prior works prefer to exploit GAN-based frameworks to tackle this task due to the balance of quality and efficiency.
• However, these methods suffer from poor stability and adaptability to long-tail distribution, failing to simultaneously retain source identity and restore detail.
• We propose DiffBFR to introduce Diffusion Probabilistic Model (DPM) for BFR to tackle the above problem, given its superiority over GAN in aspects of avoiding training collapse and generating long-tail distribution.