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 ...

Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...

To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution.

Advancements permitting the rapid extraction of 3D point clouds from stereo imagery covering large portions of the landscape have provided a vast collection of high-fidelity digital surface models ...

The results aren't true 3D models, but they achieve a similar effect: The AI tool generates 2D video frames that maintain ...

BW partners with NavLive to cut survey time. UK contractor uses AI-driven 3D scanning technology to deliver complete site ...

The next breakthrough to take the AI world by storm might be 3D model generators. This week, OpenAI open sourced Point-E, a machine learning system that creates a 3D object given a text prompt.

Pepperl+Fuchs has combined laser pulse ranging and piezoelectric 2D scanning to create 3D point clouds. Adopting mems scanner technology from the Fraunhofer Institute for Silicon Technology ...