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We present a method that reenacts a high-quality video with gestures matching a target speech audio. The key idea of our method is to split and re-assemble clips from a reference video through a novel video motion graph encoding valid transitions between clips.
8 paź 2024 · Ostensibly an aluminium stand for your keyboard, the small frame incorporates IR 170 3D infrared cameras and brand new ROLI Vision technology to map the hands of the player. It tracks each of the 27 joints in the hand, noting the subtle finger movements as they play in real-time.
istic models for audio-driven 3D human motion generation. Our concrete contributions are: •We pioneer diffusion models for audio-driven human motion generation, specifically gestures and dance, us-ing Conformers (Sec.3). •We demonstrate style control with the proposed ap-proach using classifier-free guidance to adjust the
In this paper, we propose an application of applying hand gesture recognition using Convolutional Neural Network(CNN) for music playback control. Our system begins with live image capturing from a USB camera; subsequently, followed by the initialization, calibration, and motion detection stages.
1 sty 2000 · In systems which track a performer's gesture through remote sensing technologies—such as infrared, ultrasound, or video—the tactile feedback loop is broken, forcing performers to rely on ...
Gesture-based musical performance with on-body sensing represents a particular case of wearable connection. Gloves and hand-sensing interfaces connected to real-time digital sound production and transformation processes enable empty-handed, expressive musical performance styles.
25 kwi 2020 · Following a call for clear movement-sound relationships in motion-controlled digital musical instruments (DMIs), we developed a sound design concept and a DMI implementation with a focus on transparency through intuitive control metaphors.
