human-motion

HumanSkill-4D 提出一个免训练框架，通过共享多模态大语言模型与几何算子，实现对可动画高斯人体头像在空间与时间上的语言查询，支持部件分割与 3D/4D 指代分割，并引入三个标注基准以超越现有基线。

ReViV is a unified framework for holistic egocentric 4D reconstruction that simultaneously reconstructs viewer (body, hand, gaze) and view (depth, camera trajectory) dynamics from a single monocular RGB video using a Masked Generative Egocentric Transformer, achieving state-of-the-art accuracy and efficiency.

PhyMotion proposes a physics-grounded reward system that evaluates kinematic plausibility, contact consistency, and dynamic feasibility of human motion in generated videos, achieving stronger correlation with human judgment and improving motion realism in RL-based post-training.