Autonomous driving is the future trend. Accurate 3D object detection is a prerequisite for achieving autonomous driving. Currently, 3D object detection relies on three main sensors: monocular cameras, ...

This project offers the Canonical Objaverse Dataset, created using the methods outlined in the paper "One-shot 3D Object Canonicalization based on Geometric and Semantic Consistency." Additionally, ...

Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

In robotics, usually complete object or environment models are required for localization, object recognition, or manipulation. Nowadays, 3D models are usually obtained by hand-guided scanning which is ...

The 3D modeling systems that made ‘Toy Story’ possible have been key to enabling unmanned aircraft to navigate and aim their ...

Abstract: Despite the success of current state-of-the-art object class detectors, severe occlusion remains a major challenge. This is particularly true for more geometrically expressive 3D object ...