Whether you’re new to the idea or have been considering it for months, switching to cloud-based point-of-sale (POS) software is one of the smartest moves an established business can make. The right ...

Abstract: Point cloud instance segmentation is crucial for 3D scene understanding in robotics. However, existing methods heavily rely on learning-based approaches that require large amounts of ...

In this work, we introduce GAP, a novel method for transforming raw, colorless 3D point clouds into high-quality Gaussian representations guided by text. Although 3D Gaussian Splatting (3DGS) has ...

Existing point cloud completion methods, which typically depend on predefined synthetic training datasets, encounter significant challenges when applied to out-of-distribution, real-world scans. To ...

Abstract: In the electrical industry, precise segmentation of 3D point cloud data is crucial for accurate geometric measurement, automated modeling, and defect detection in electrical components.