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Tlcontrol: Trajectory and language control for human motion synthesis
Controllable human motion synthesis is essential for applications in AR/VR, gaming and
embodied AI. Existing methods often focus solely on either language or full trajectory control …
embodied AI. Existing methods often focus solely on either language or full trajectory control …
C· ase: Learning conditional adversarial skill embeddings for physics-based characters
We present C· ASE, an efficient and effective framework that learns Conditional Adversarial
Skill Embeddings for physics-based characters. C· ASE enables the physically simulated …
Skill Embeddings for physics-based characters. C· ASE enables the physically simulated …
Pacer+: On-demand pedestrian animation controller in driving scenarios
We address the challenge of content diversity and controllability in pedestrian simulation for
driving scenarios. Recent pedestrian animation frameworks have a significant limitation …
driving scenarios. Recent pedestrian animation frameworks have a significant limitation …
Universal humanoid motion representations for physics-based control
We present a universal motion representation that encompasses a comprehensive range of
motor skills for physics-based humanoid control. Due to the high dimensionality of …
motor skills for physics-based humanoid control. Due to the high dimensionality of …