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 ...

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 ...

To solve this problem, we introduce a deep learning-based 2D+3D vehicle paint surface appearance defect detection solution. By installing 2D/3D detection sensors on robots, we achieve comprehensive ...

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 ...

ViALUX presents the 2nd generation of its DLP® based 3D camera. The compact device combines latest CCD camera technology with the outstanding switching rate and precision of the digital light ...