In Japan, a substantial amount of point cloud data–a set of data points in space–has been measured and accumulated for public works using mobile mapping systems and terrestrial laser scanners. However ...
A research team has developed a cutting-edge deep learning framework, TM-WSNet, that dramatically improves the accuracy of ...
WiMi Announced Image-Fused Point Cloud Semantic Segmentation with Fusion Graph Convolutional Network
Beijing, Jan. 05, 2024 (GLOBE NEWSWIRE) -- WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced an ...
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increasingly focus on renovations and rehabilitations –especially in established urban centers–, whether to modernize outdated ...
Getting the most out of point-cloud jobsite scans is a perennial issue, and Bechtel is looking to a small startup for answers. The contractor has announced that it will be using point-cloud analysis ...
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 ...
Getting point-cloud data to verify as-builts and quickly map out an interior space is often a matter of balancing time and cost. But new smaller, easier-to-use scanners are coming to market that don’t ...
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.
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