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Found 7 papers, 4 papers with code
Gemma: Open Models Based on Gemini Research and Technology
This work introduces Gemma, a family of lightweight, state-of-the art open models built from the research and technology used to create Gemini models.
Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction
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.
BlazePose GHUM Holistic: Real-time 3D Human Landmarks and Pose Estimation
We present BlazePose GHUM Holistic, a lightweight neural network pipeline for 3D human body landmarks and pose estimation, specifically tailored to real-time on-device inference.
Attention Mesh: High-fidelity Face Mesh Prediction in Real-time
We present Attention Mesh, a lightweight architecture for 3D face mesh prediction that uses attention to semantically meaningful regions.
Real-time Pupil Tracking from Monocular Video for Digital Puppetry
We present a simple, real-time approach for pupil tracking from live video on mobile devices.
BlazePose: On-device Real-time Body Pose tracking
We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.
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3D Pose Estimation
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Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
The relatively dense mesh model of 468 vertices is well-suited for face-based AR effects.
