LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
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 …
shape is significant for scene understanding and can benefit many real-world applications …
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment
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 …
practicability in large-scale and unconstrained environments. However, most methods rely …
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments
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 …
multi-person motions in open environments. Our system combines a single LiDAR with …
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
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 …
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
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 …
virtual reality and human-robot interaction but remains challenging due to the lack of …