no code implementations • 23 Jun 2022 • Ivan Grishchenko, Valentin Bazarevsky, Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, Richard Yee, Karthik Raveendran, Matsvei Zhdanovich, Matthias Grundmann, Cristian Sminchisescu
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.
We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera.
We present a real-time on-device hand tracking pipeline that predicts hand skeleton from single RGB camera for AR/VR applications.
We present BlazePose, a lightweight convolutional neural network architecture for human pose estimation that is tailored for real-time inference on mobile devices.
Ranked #1 on 3D Pose Estimation on Google-Yoga
We present a novel approach for neural network-based hair segmentation from a single camera input specifically designed for real-time, mobile application.
We present BlazeFace, a lightweight and well-performing face detector tailored for mobile GPU inference.