SIGGRAPH

This work proposes a real-time algorithm for reconstructing 3D human poses in crowded scenes from multiple calibrated views. The key challenge of this problem is to efficiently match 2D observations across multiple views. Previous methods perform multi-...

Recent deep learning-based approaches have shown promising results for synthesizing plausible 3D human gestures from speech input. However, these approaches typically offer limited freedom to incorporate user control. Furthermore, training such models ...

Getting up from an arbitrary fallen state is a basic human skill. Existing methods for learning this skill often generate highly dynamic and erratic get-up motions, which do not resemble human get-up strategies, or are based on tracking recorded human ...