3 papers
cs.CV2025
A Multi-View High-Resolution Foot-Ankle Complex Point Cloud Dataset During Gait for Occlusion-Robust 3D Completion
Jie-Wen Li, Zi-Han Ye, Qingyuan Zhou +4
The kinematics analysis of foot-ankle complex during gait is essential for advancing biomechanical research and clinical assessment. Collecting accurate surface geometry data from…
cs.CV2024
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song, Weidong Yang, Zhijun Li +2
The task of point cloud upsampling (PCU) is to generate dense and uniform point clouds from sparse input captured by 3D sensors like LiDAR, holding potential applications in real y…
cs.CV2024
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
Keyi Liu, Yeqi Luo, Weidong Yang +4
Self-supervised learning of point cloud aims to leverage unlabeled 3D data to learn meaningful representations without reliance on manual annotations. However, current approaches f…