Towards Real World Blind Face Restoration with Generative Facial Prior

Explore a comprehensive analysis of the Generative Facial Priors GAN (GFP-GAN) in this AI Reading Group presentation. Delve into the workings of this innovative model, including its Degradation Removal Module and Channel-Split Spatial Feature Transform (SFT layers). Examine the strengths of the model's design, its potential limitations, and its applications to real-world blind face restoration projects. Gain insights into how this technology can be leveraged to enhance ongoing initiatives in the field of facial image processing and restoration.

Towards Real-World Blind Face Restoration with Generative Facial Prior
Generative Facial Priors GAN (GFP-GAN)
How it works: simple explanation
Degradation Removal Module
Channel-Split Spatial Feature Transform (SFT layers)
Why this model's design is great
Limitations
How it can help our project