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arXiv · 2006.10962

Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

Ivan Grishchenko·Artsiom Ablavatski·Yury Kartynnik·Karthik Raveendran·Matthias Grundmann
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Abstract

We present Attention Mesh, a lightweight architecture for 3D face mesh prediction that uses attention to semantically meaningful regions. Our neural network is designed for real-time on-device inference and runs at over 50 FPS on a Pixel 2 phone. Our solution enables applications like AR makeup, eye tracking and AR puppeteering that rely on highly accurate landmarks for eye and lips regions. Our main contribution is a unified network architecture that achieves the same accuracy on facial landmarks as a multi-stage cascaded approach, while being 30 percent faster.

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Ivan Grishchenko, Artsiom Ablavatski, Yury Kartynnik, Karthik Raveendran, Matthias Grundmann. 2020-06-19. Attention Mesh: High-fidelity Face Mesh Prediction in Real-time. https://arxiv.org/abs/2006.10962

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