In this demo, we present VirtualConductor, a system that can generate conducting video from any given music and a single users 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 users image. Therefore, any user can become a virtual conductor through the system.
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