Extracting distinctive, robust, and general 3D local features is essential to downstream tasks such as point cloud registration. However, existing methods either rely on noise-sensitive handcrafted ...

When does it make more sense to develop a native desktop app, or an Electron-powered web UI app? We break it down for you.

Unifying 3D Mesh Generation with Language Models. Contribute to nv-tlabs/LLaMA-Mesh development by creating an account on GitHub.

VLM-3R is a unified Vision-Language Model (VLM) framework integrating 3D reconstructive instruction tuning for deep spatial understanding from monocular video. The rapid advancement of Large ...

Charles R. Goulding and Preeti Sulibhavi explain how The Rodon Group is using 3D printing, robotics, and automation to lead a new era of American manufacturing.

QIDI launches the Q2 3D printer at $499, combining beginner-friendly design with professional-grade performance and multi-material printing.

Extracting robust and general 3D local features is key to downstream tasks such as point cloud registration and reconstruction. Existing learning-based local descriptors are either sensitive to ...

The only question is which companies will get to that transition. Open hardware projects on desktop 3D printers will still proceed for some time, but over time, they will have increasing difficulty in ...

Accurately estimating human pose was among the first tasks addressed by deep learning. Early models like OpenPose focused on localizing human joints as 2D keypoints in image coordinates. Later, Google ...