Crowdmogen: Zero-shot text-driven collective motion generation

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 …

in2IN: Leveraging individual Information to Generate Human INteractions

P Ruiz-Ponce, G Barquero, C Palmero… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

SAT-HMR: Real-Time Multi-Person 3D Mesh Estimation via Scale-Adaptive Tokens

C Su, X Ma, J Su, Y Wang - arXiv preprint arXiv:2411.19824, 2024 - arxiv.org
We propose a one-stage framework for real-time multi-person 3D human mesh estimation
from a single RGB image. While current one-stage methods, which follow a DETR-style …

Learning Human-Aware Robot Policies for Adaptive Assistance

J Qin, S Ban, W Zhu, Y Wang, D Samaras - arXiv preprint arXiv …, 2024 - arxiv.org
Developing robots that can assist humans efficiently, safely, and adaptively is crucial for real-
world applications such as healthcare. While previous work often assumes a centralized …

in2IN: Leveraging individual Information to Generate Human INteractions

PR Ponce, G Barquero, C Palmero, S Escalera… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Object-Driven Human Motion Generation from Images

F Liu, Y Wang, H Ci - Proceedings of the 1st Workshop on Efficiency …, 2024 - dl.acm.org
Conventional human motion generation models largely operate within the confines of Text-
to-Motion or Action-to-Motion frameworks with an evident missing of methodologies directly …