Computer Science > Computer Vision and Pattern Recognition
[Submitted on 11 Sep 2023]
Title:Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction
View PDFAbstract:We present Blendshapes GHUM, an on-device ML pipeline that predicts 52 facial blendshape coefficients at 30+ FPS on modern mobile phones, from a single monocular RGB image and enables facial motion capture applications like virtual avatars. Our main contributions are: i) an annotation-free offline method for obtaining blendshape coefficients from real-world human scans, ii) a lightweight real-time model that predicts blendshape coefficients based on facial landmarks.
Submission history
From: Ivan Grishchenko [view email][v1] Mon, 11 Sep 2023 19:29:26 UTC (5,100 KB)
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