Traditional handcrafted animation often heavily relies on creating keyframes while the in-
betweening is automatically generated through spline-based interpolation. Animators have …

Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging
problem, due to continuity and exceptionally skeletal precision. The action features are often …

Motion in-betweening, a fundamental task in character animation, consists of generating
motion sequences that plausibly interpolate user-provided keyframe constraints. It has long …

The synthesis of human motion has traditionally been addressed through task-dependent
models that focus on specific challenges, such as predicting future motions or filling in …

In this work, we present MoLang (a Motion-Language connecting model) for learning joint
representation of human motion and language, leveraging both unpaired and paired …

Conditional human motion generation is an important topic with many applications in virtual
reality gaming and robotics. While prior works have focused on generating motion guided by …

Styled online in-between motion generation has important application scenarios in computer
animation and games. Its core challenge lies in the need to satisfy four critical requirements …

This paper presents $ M^ 3$ GPT, an advanced\textbf {M} ultimodal,\textbf {M} ultitask
framework for\textbf {M} otion comprehension and generation. $ M^ 3$ GPT operates on …

The rapid, accurate, and robust computation of virtual human figures'” in-between” pose
transitions from available and sometimes sparse inputs is of fundamental significance to 3D …

Stitching different character motions is one of the most commonly used techniques as it
allows the user to make new animations that fit one's purpose from pieces of motion …