5 papers
NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models
Yong Cao, Chuqiao Li, Xianghui Xie +2
Reliable evaluation of human motion understanding is fundamental to advancing embodied AI, robotics, and animation. However, existing benchmarks suffer from coarse semantic granula…
ActionPlan: Future-Aware Streaming Motion Synthesis via Frame-Level Action Planning
Eric Nazarenus, Chuqiao Li, Yannan He +3
We present ActionPlan, a unified motion diffusion framework that bridges real-time streaming with high-quality offline generation within a single model. The core idea is to introdu…
FrankenMotion: Part-level Human Motion Generation and Composition
Chuqiao Li, Xianghui Xie, Yong Cao +2
Human motion generation from text prompts has made remarkable progress in recent years. However, existing methods primarily rely on either sequence-level or action-level descriptio…
Physics-based Human Pose Estimation from a Single Moving RGB Camera
Ayce Idil Aytekin, Chuqiao Li, Diogo Luvizon +4
Most monocular and physics-based human pose tracking methods, while achieving state-of-the-art results, suffer from artifacts when the scene does not have a strictly flat ground pl…
Unimotion: Unifying 3D Human Motion Synthesis and Understanding
Chuqiao Li, Julian Chibane, Yannan He +3
We introduce Unimotion, the first unified multi-task human motion model capable of both flexible motion control and frame-level motion understanding. While existing works control a…