30 citations · 30 across the 4 of their papers we have counts for
4 papers
PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models
Xianjing Cheng, Lintai Wu, Zuowen Wang +3
Accurate 3D scene understanding in outdoor environments heavily relies on high-quality point clouds. However, LiDAR-scanned data often suffer from extreme sparsity, severely hinder…
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
Lintai Wu, Xianjing Cheng, Yong Xu +2
In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve recons…
3D Shape Completion on Unseen Categories:A Weakly-supervised Approach
Lintai Wu, Junhui Hou, Linqi Song +1
3D shapes captured by scanning devices are often incomplete due to occlusion. 3D shape completion methods have been explored to tackle this limitation. However, most of these metho…
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
Lintai Wu, Qijian Zhang, Junhui Hou +1
Point clouds captured by scanning devices are often incomplete due to occlusion. To overcome this limitation, point cloud completion methods have been developed to predict the comp…