* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository.

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video: https://www.youtube.com/watch?v=cxi1WQr-HKE

source code: https://github.com/Shohruh72/PIPNet/tree/main

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Google Colab: https://github.com/google-deepmind/tapnet

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[Source Code] [Paper]

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AiOS: The Future of Human Shape & Pose Recovery

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