Sponsored by Meshy. Unlock the fastest path from idea to 3D model with Meshy AI 5! In this Blue Lighting tutorial, we walk you through creating stunning, professional-quality 3D objects in just a few ...

Learn how to transform your photos into stunning 3D floating objects using a hidden Apple feature on your iPhone. This step-by-step tutorial shows you how to create eye-catching effects that bring ...

├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

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 ...

If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...

Abstract: Accurate 3D object detection from images can be hindered by inherent depth ambiguity. While knowledge distillation (KD) from privileged sensors such as LiDAR offers a promising direction, it ...

4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...

Have you ever imagined turning your ideas into physical objects with just a few clicks? Thanks to tools like Tinkercad, what once seemed like science fiction is now an accessible reality for anyone ...

What if you could create a fully-formed, intricately detailed 3D object in the time it takes to brew a cup of coffee? It sounds like science fiction, but with volumetric 3D printing, this is now a ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...