logo80lv
Articlesclick_arrow
Research
Talentsclick_arrow
Events
Workshops
Aboutclick_arrow
profile_loginLogIn

A Cool GAN for Blind Face Restoration

Check out this interesting neural network that can restore facial details in a single forward pass.

If you wanted to restore an old, noisy, low-quality image, here's a new neural network that can probably help you to accomplish this task. Meet GFPGAN, a tool for the restoration of facial features created by Xintao Wang, Yu Li, Honglun Zhang, and Ying Shan. According to the team, GFPGAN leverages a rich and diverse library of priors encapsulated in a pre-trained face GAN for blind face restoration. The Generative Facial Prior (GFP) is incorporated into the face restoration process via novel channel-split spatial feature transform layers, which allow their method to achieve a good balance of realness and fidelity.

"Thanks to the powerful generative facial prior and delicate designs, our GFP-GAN could jointly restore facial details and enhance colors with just a single forward pass, while GAN inversion methods require expensive image-specific optimization at inference," says the team. "Extensive experiments show that our method achieves superior performance to the prior art on both synthetic and real-world datasets."

You can learn more here. Also, don't forget to join our new Reddit pageour new Telegram channel, follow us on Instagram and Twitter, where we are sharing breakdowns, the latest news, awesome artworks, and more.

Join discussion

Comments 0

    You might also like

    We need your consent

    We use cookies on this website to make your browsing experience better. By using the site you agree to our use of cookies.Learn more