Abstract: Monocular 3D object detection has gained considerable attention because of its cost-effectiveness and practical applicability, particularly in autonomous driving and robotics. Most of ...

Three names, three roles, and I mixed them up without realizing it.

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping reflections, highlights, and other effects consistent across different viewing angles. Here ...

But of course, to do all this 3D object manipulation, you need serious horsepower. That is where the Intel Core Ultra 7 CPU and GeForce RTX 5070 GPU come in. You can definitely hear them under ...

High-speed 3D printing has just gotten a lot faster. Researchers from Tsinghua University in China have developed a new high-speed printing technology capable of creating complex millimeter-scale ...

Abstract: Traditional 3D object detectors, whether fully-, semi-, or weakly-supervised, rely heavily on extensive human annotations. In contrast, this paper introduces an unsupervised 3D object ...

Meet Dan. Dan has a sniper rifle. Don’t panic, he’s not here to harm anyone. Dan’s a professional and his job is fixing things. From a distance. With pinpoint accuracy and good intentions. Sniper Dan ...

ALBANY — In her latest bid to quell the tide of 3D-printed ghost guns in New York, Gov. Kathy Hochul has proposed regulations on the printing machines themselves. But whether any regulation could ...

We’re introducing SAM 3 and SAM 3D, the newest additions to our Segment Anything Collection, which advance AI understanding of the visual world. SAM 3 enables detection and tracking of objects in ...

Label-Efficient 3D Object Detection is a set of techniques designed to train 3D object detection models using minimal labeled data. These methods leverage strategies like semi-supervised learning, ...