We present a novel approach for generating 360-degree high-quality, spatiotemporally
coherent human videos from a single image. Our framework combines the strengths of …

Recent progress in physics‐based character control has made it possible to learn policies
from unstructured motion data. However, it remains challenging to train a single control …

Stylized motion breathes life into characters. However, the fixed skeleton structure and style
representation hinder existing data-driven motion synthesis methods from generating …

Close and continuous interaction with rich contacts is a crucial aspect of human activities (eg
hugging dancing) and of interest in many domains like activity recognition motion prediction …

Generating realistic human motion is crucial for many computer vision and graphics
applications. The rich diversity of human body shapes and sizes significantly influences how …

This paper introduces ELMO, a real-time upsampling motion capture framework designed
for a single LiDAR sensor. Modeled as a conditional autoregressive transformer-based …

Interactive motion between multiple characters is widely utilized in games and movies.
However, the method for generating interactive motions considering the character's diverse …

Motion retargeting requires to carefully analyze the differences in both skeletal structure and
body shape between source and target characters. Existing skeleton-aware and shape …

We present a novel approach for generating high-quality, spatio-temporally coherent human
videos from a single image under arbitrary viewpoints. Our framework combines the …

Motion retargeting for animation characters has potential applications in fields such as
animation production and virtual reality. However, current methods either assume that the …