Face Detection & Restoration:

Input Image

Output Image

Face restoration aims at recovering high-quality faces from the low-quality counterparts suffering from unknown degradation, such as low-resolution, noise, blur, compression artifacts, etc. When applied to real-world scenarios, it becomes more challenging, due to more complicated degradation, diverse poses and expressions. Restoration algorithm detects faces in the input image and restores them using the most advance generative deep learning techniques.

Use Cases:

Restoration of old image data.
Face feature enhancement for identification

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