We introduce a novel deep learning framework for data-driven motion retargeting between
skeletons, which may have different structure, yet corresponding to homeomorphic graphs …

Interactively synthesizing novel combinations and variations of character movements from
different motion skills is a key problem in computer animation. In this paper, we propose a …

We propose HandAvatar to enable users to embody non-humanoid avatars using their
hands. HandAvatar leverages the high dexterity and coordination of users' hands to control …

With the increasing demand in virtual reality applications and games, the need to
understand how users perceive their virtual representation (avatar) is becoming more and …

Animating an avatar that reflects a user's action in the VR world enables natural interactions
with the virtual environment. It has the potential to allow remote users to communicate and …

Character motion synthesis is the process of artificially generating natural motion for a virtual
character. In film, motion synthesis can be used to generate difficult or dangerous stunts …

Motion retargeting is a promising approach for generating natural and compelling
animations for nonhuman characters. However, it is challenging to translate human …

Robotic creatures are capable of entering hazardous environments instead of human
workers, but it is challenging to develop a fully autonomous agent that can work …

Editing character motion in Virtual Reality is challenging as it requires working with both
spatial and temporal data using controls with multiple degrees-of-freedom. The spatial and …

Creating animated virtual AR characters closely interacting with real environments is
interesting but difficult. Existing systems adopt video see-through approaches to indirectly …