Author

Zekun Li

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Preprint Sep 2026

MoSAT: Human Motion Generation from Spatial Audio and Textual Description

STAM is introduced, a dataset of motion sequences paired with spatial audio and detailed textual annotations whose rich vocabulary affords precise and nuanced specification of human motions, and MoSAT, a latent flow-matching framework for full-body motion generation jointly conditioned on natural-language intent and di...

Shu-Yang Xu, Zhiyang Dou, Yiduo Hao et al. · 0 citations

Preprint Jul 2026

HumanCLAW: Can Vision-Language Models Act Through a Body?

This work introduces HumanCLAW, an evaluation framework that decouples action decision-making from low-level execution in a vision-language model (VLM), and builds HumanCLAW-Bench, a database of 1,218 long-horizon, egocentric find-navigate-interact episodes across 41 indoor scenes.

Siyao Li, Jiawei Gu, Shuai Liu et al. · 1 citation

Jul 2026

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

This work proposes Ms.Forcing, an efficient streaming video generation paradigm that adapts spatial granularity to each state's noise level and introduces Homogeneous-Noise-Level DMD, which assembles each fake video from clean predictions sharing the same source noise level, thereby reducing the mismatch between DMD tr...

Zekun Li, Xiaoyan Cong, Hongyu Li et al. · arXiv.org · 0 citations