Generating human-human motion interactions conditioned on textual descriptions is a very useful application in many areas such as robotics gaming animation and the metaverse …
Existing datasets for narrative understanding often fail to represent the complexity and uncertainty of relationships in real-life social scenarios. To address this gap, we introduce a …
X Guo, M Zhang, H Xie, C Gu, Z Liu - arXiv preprint arXiv:2407.06188, 2024 - arxiv.org
Crowd Motion Generation is essential in entertainment industries such as animation and games as well as in strategic fields like urban simulation and planning. This new task …
W Yin, Z Cai, R Wang, F Wang, C Wei, H Mei… - arXiv preprint arXiv …, 2024 - arxiv.org
Estimating human and camera trajectories with accurate scale in the world coordinate system from a monocular video is a highly desirable yet challenging and ill-posed problem …
Generating human-human motion interactions conditioned on textual descriptions is a very useful application in many areas such as robotics, gaming, animation, and the metaverse …
ABSTRACT Large Language Model (LLM)-based agents have showcased remarkable abilities in simulating human-like behavior, prompting widespread application across …