Abstract: Point cloud completion aims to acquire complete and high-fidelity point clouds from partial and low-quality point clouds, which are used in remote sensing applications. Existing methods tend ...

Improved model speed (9-12% faster) and training stability. Fixed bugs in configs, RK2 sampler, and validation. Simplified point cloud packing and shaping. Checkpoints are compatible with the previous ...

UniPre3D is the first unified pre-training method for 3D point clouds that effectively handles both object- and scene-level data through cross-modal Gaussian splatting. Our proposed pre-training task ...

Abstract: Point cloud registration is a fundamental task in the fields of computer vision and robotics. Recent advancements in transformer-based methods have demonstrated enhanced performance in this ...

For the third consecutive year, the organization is collecting real Christmas trees for the Slade Dale Sanctuary Breakwater Living Shoreline Project in Point Pleasant. Christmas trees are needed for ...