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Real-time Controllable Motion Transition for Characters
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DescriptionWe present a novel learning framework consisting of a new natural motion manifold model and a new transition sampler for real-time, in-between motion generation. It generates high-quality motions in mitigating foot skating and motion transitions. It also is general under unseen control signals and outperforms alternative solutions and the state-of-the-art methods.