564 citations · 787 across the 4 of their papers we have counts for
4 papers
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations
Yu-Hui Chen, Raman Sarokin, Juhyun Lee +4
The rapid development and application of foundation models have revolutionized the field of artificial intelligence. Large diffusion models have gained significant attention for th…
On-device Real-time Hand Gesture Recognition
George Sung, Kanstantsin Sokal, Esha Uboweja +5
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. The system consists of two part…
MediaPipe Hands: On-device Real-time Hand Tracking
Fan Zhang, Valentin Bazarevsky, Andrey Vakunov +4
We present a real-time on-device hand tracking pipeline that predicts hand skeleton from single RGB camera for AR/VR applications. The pipeline consists of two models: 1) a palm de…
MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash +11
Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) buil…