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DanceGraph is an architecture for synchronized online dancing overcoming the latency of networked body pose sharing. We break down this challenge by developing a real-time bandwidth-efficient architecture to minimize lag and reduce the timeframe of required motion prediction for synchronization with the music’s rhythm. In addition, we show an interactive method for the parameterized stylization of dance motions for rhythmic dance using online dance correctives.

生成讲解博客的中文版本

生成AI智能校验的中文版本