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Implementing face stylization - ML on Android with MediaPipe

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Learn about face stylization, an experimental feature that allows you to take a model trained from a single reference image and apply properties found in a contained stylized face to a new image using an on-device model called BlazeStyleGAN. Paul Ruiz, a Senior Developer Advocate, shares a high-level overview of the BlazeStyleGAN model and how to implement face stylization on Android using MediaPipe.

Resources:
Face stylization on Github → https://goo.gle/49rrKW4
For more information, visit the MediaPipe website → https://goo.gle/MediaPipe

Watch more episodes on ML on Android with MediaPipe → https://goo.gle/MLAMP
Subscribe to Google for Developers → https://goo.gle/developers

#Google #MediaPipe
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Google, developers, face stylization
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