DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...

Abstract: The use of Convolutional Neural Networks (CNNs) is the state-of-the-art for 3D object detection from automotive/vehicle LiDAR point clouds. However, not all models perform uniformly well ...

Scientists have created 3D printed surfaces featuring intricate textures that can be used to bounce unwanted gas particles away from quantum sensors, allowing useful particles like atoms to be ...

That's today's project. In this article, I'll show you how I started with a picture of me, used some intermediate AI, and turned it into a physical 3D plastic me figurine. Do I need a me figurine? No.

Hyper3D, the platform developed by Deemos Tech, offers a suite of AI-powered generation tools that process various input types to produce 3D models for use in gaming, film, and digital media ...

Gemstones like precious opal are beautiful to look at and deceivingly complex. As you look at such gems from different angles, you'll see a variety of tints glisten, causing you to question what color ...