Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Geospatial technology firm Genesys International Corporation has integrated DIGIPIN, the Department of Posts' digital address ...

DJI Terra 3D modeling now features 3D Gaussian Splatting, offering faster, more accurate aerial reconstruction for ...

2D image-based 3D shape retrieval (2D-to-3D) aims at searching the corresponding 3D shapes (unlabeled) when given a 2D image (labeled), which is a fundamental task in computer vision and has gained a ...

Keywords: 2D segmentation, 3D segmentation, LiDAR, 3D measurement, anatomical location, curvature, deep learning—artificial intelligence Citation: Chang CW, Wang H, Lai F, Christian M, Chen Huang S ...

JAVA class. Contribute to zayzigzagzz/CSC-151 development by creating an account on GitHub.

An AI method enables the generation of sharp, high-quality 3D shapes that are closer to the quality of the best 2D image models. Previous approaches typically generated blurry or cartoonish 3D shapes.

While 2D generative AI models can produce lifelike images, they aren’t designed for 3D. When applied to 3D shapes, these models most likely produce blurry or cartoonish outputs.

This journal, titled "The Geometry of Flat and Full: Comparing 2D and 3D Shapes," explores the fundamental differences and relationships between two-dimensional (2D) and three-dimensional (3D) shapes.

Cornell University researchers have created microscale robots less than 1 millimeter in size that are printed as a 2D hexagonal "metasheet," but with a jolt of electricity, morph into preprogrammed 3D ...