think was being ignored. Prior works used a model to generate sequences of different motions according to different actions from an engineering perspective, generating each action individually and then applying postprocessing in the transitions to make a motion transition emerge. We do it with learning but don’t apply postprocessing in the transition.” "The generated human behavior compositions are more realistic than ever,“ Sergio adds. “Compared to previous work we can see a clear improvement in accuracy, realism and smoothness. Its application benefits of only requiring one condition for training and generalizing to several inference conditions, without requiring any postprocessing!" 19 DAILY CVPR Wednesday Seamless Human Motion Composition...
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