4 papers
L3DR: 3D-aware LiDAR Diffusion and Rectification
Quan Liu, Xiaoqin Zhang, Ling Shao +1
Range-view (RV) based LiDAR diffusion has recently made huge strides towards 2D photo-realism. However, it neglects 3D geometry realism and often generates various RV artifacts suc…
Direction-aware 3D Large Multimodal Models
Quan Liu, Weihao Xuan, Junjue Wang +3
3D large multimodal models (3D LMMs) rely heavily on ego poses for enabling directional question-answering and spatial reasoning. However, most existing point cloud benchmarks cont…
Prism: Mining Task-aware Domains in Non-i.i.d. IMU Data for Flexible User Perception
Yunzhe Li, Facheng Hu, Hongzi Zhu +5
A wide range of user perception applications leverage inertial measurement unit (IMU) data for online prediction. However, restricted by the non-i.i.d. nature of IMU data collected…
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension
Quan Liu, Hongzi Zhu, Zhenxi Wang +3
Registration of point clouds collected from a pair of distant vehicles provides a comprehensive and accurate 3D view of the driving scenario, which is vital for driving safety rela…