CodeFormer is a powerful and easy-to-use AI tool designed to restore faces in old, blurry, or AI-generated images. Developed by researchers at Nanyang Technological University, it uses a smart transformer model and a visual “codebook” to fill in missing facial details while keeping the original vibe. You can adjust a simple slider to choose whether you want sharper quality or closer resemblance to the original image.
Features:
Transformer-based restoration: Uses smart AI to predict face details based on the full context of the image for better, natural results.
Visual codebook knowledge: Refers to a library of real face features to add fine details without guesswork.
Adjustable fidelity slider: Lets you decide if you want sharper faces or more accurate likeness by tweaking one slider.
Background enhancement: Optional tools can clean up and sharpen the photo’s background for a polished look.
Use Cases:
Fix old family photos: Restore grandparent pictures from the past and bring their faces back to life.
Enhance AI-generated faces: Improve blurry or glitchy faces from AI art tools like Stable Diffusion.
Clean tourist snapshots: Sharpen and restore fuzzy travel photos of yourself or friends.
Strengthen project visuals: Use in school or history projects to improve image quality and storytelling.
With CodeFormer, you get a powerful AI that makes face restoration simple—no technical knowledge needed, just choose an image and let it work its magic.
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