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Creating AI-generated personas for marketing. Education & Training:

: High-definition video clips, interviews, and public social media photos are scraped.

Riya’s heart pounded. This wasn’t just a detector. It was too good. It had access to a library of original footage no public database held.

The system ingests source data (the face providing the expressions) and target data (the person whose identity will be altered). Computer vision algorithms automatically detect faces across frames, tracking landmark positions such as the eyes, nose, mouth, and jawline. 2. Autoencoders and Latent Space

More sophisticated networks rely on GANs to handle face attribute and expression manipulations. A GAN consists of two competing networks: