LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment

Y Ren, X Han, C Zhao, J Wang, L Xu… - Proceedings of the …, 2024 - openaccess.thecvf.com
For human-centric large-scale scenes fine-grained modeling for 3D human global pose and
shape is significant for scene understanding and can benefit many real-world applications …

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

Y Ren, X Han, Y Yao, X Long, Y Sun, Y Ma - European Conference on …, 2024 - Springer
LiDAR-based human motion capture has garnered significant interest in recent years for its
practicability in large-scale and unconstrained environments. However, most methods rely …

FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments

A Xue, Y Ren, Z Song, M Ye, X Zhu, Y Ma - arxiv preprint arxiv …, 2024 - arxiv.org
We propose a novel hybrid calibration-free method FreeCap to accurately capture global
multi-person motions in open environments. Our system combines a single LiDAR with …

LiDAR-HMR: 3D Human Mesh Recovery from LiDAR

B Fan, W Zheng, J Feng, J Zhou - arxiv preprint arxiv:2311.11971, 2023 - arxiv.org
In recent years, point cloud perception tasks have been garnering increasing attention. This
paper presents the first attempt to estimate 3D human body mesh from sparse LiDAR point …

SegFit: Robust SMPL-X Fitting with Body Part Segmentation on Real-World Point Clouds

K Lascheit, M Pollefeys, D Barath, F Engelmann - openreview.net
Fitting parametric human body models to 3D point cloud is crucial for applications such as
virtual reality and human-robot interaction but remains challenging due to the lack of …