Point-E, unlike similar systems, "leverages a large corpus of (text, image) pairs, allowing it to follow diverse and complex prompts, while our image-to-3D model is trained on a smaller dataset of ...

This episode looks at the "point clouds" for 3D data visuals used in architecture, archaeology, and autonomous driving. Plus, robots learn new moves. Point cloud data is captured with LiDAR. Captured ...

Imagine performing a sweep around an object with your smartphone and getting a realistic, fully editable 3D model that you can view from any angle -- this is fast becoming reality, thanks to advances ...

Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...