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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 ...

6D & 7D BIM | Sustainability & Facility Management Modeling - Owners receive a fully-functional BIM model rather than a roll ...

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 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.

In the coming decades, it seems inevitable that architects will increasingly focus on renovations and rehabilitations –especially in established urban centers–, whether to modernize outdated ...

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 ...