Deploy this example to create a 3D object reconstruction workflow that transforms stereo video input into high-quality 3D assets using state-of-the-art computer vision and neural rendering techniques.

Abstract: LiDAR-based 3D object detection has recently seen significant advancements through active learning (AL), attaining satisfactory performance by training on a small fraction of strategically ...

Abstract: Compared with real-time multi-object tracking (MOT), offline multi-object tracking (OMOT) has the advantages to perform 2D-3D detection fusion, erroneous link correction, and full track ...

Looking for the best Raspberry Pi projects of 2025? Our top 10 list shows you how to build a retro game console, a weather ...

When 3D printing was invented more than 40 years ago, it was a linear process, and its workflow remains essentially unchanged. Typically, users decide on a geometry to print, without precise knowledge ...

Segmenting 3D objects into parts is a long-standing challenge in computer vision. To overcome taxonomy constraints and generalize to unseen 3D objects, recent works turn to open-world part ...

The rise of the consumer 3D printer has yielded amazing devices for designers, engineers, hobbyists, tinkerers, and schools alike. I've been reviewing 3D printers for PCMag since the first widely ...

A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of everything from searches on the internet to artificial intelligence, has ...

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