VirtualConductor: Music-driven Conducting Video Generation System

Code

• github.com/ChenDelong1999/VirtualConductor
  pytorch★ 97
• github.com/viiika/diffusion-conductor
  pytorch★ 26

Abstract

In this demo, we present VirtualConductor, a system that can generate conducting video from any given music and a single user's image. First, a large-scale conductor motion dataset is collected and constructed. Then, we propose Audio Motion Correspondence Network (AMCNet) and adversarial-perceptual learning to learn the cross-modal relationship and generate diverse, plausible, music-synchronized motion. Finally, we combine 3D animation rendering and a pose transfer model to synthesize conducting video from a single given user's image. Therefore, any user can become a virtual conductor through the system.

Tasks

Reproductions