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LaserHuman: Language-guided Scene-aware Human Motion Generation in Free Environment
March 21, 2024, 4:45 a.m. | Peishan Cong, Ziyi WangZhiyang Dou, Yiming Ren, Wei Yin, Kai Cheng, Yujing Sun, Xiaoxiao Long, Xinge Zhu, Yuexin Ma
cs.CV updates on arXiv.org arxiv.org
Abstract: Language-guided scene-aware human motion generation has great significance for entertainment and robotics. In response to the limitations of existing datasets, we introduce LaserHuman, a pioneering dataset engineered to revolutionize Scene-Text-to-Motion research. LaserHuman stands out with its inclusion of genuine human motions within 3D environments, unbounded free-form natural language descriptions, a blend of indoor and outdoor scenarios, and dynamic, ever-changing scenes. Diverse modalities of capture data and rich annotations present great opportunities for the research of …
abstract arxiv cs.cv dataset datasets entertainment environment environments form free human inclusion language limitations research robotics significance text type
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