I sit down and open Photoshop with nothing more than the idea for a tavern in a fantasy setting. I begin with rough scribbles ...

In the mid-19th century, Bernhard Riemann conceived of a new way to think about mathematical spaces, providing the foundation ...

However, the open-source project isn’t about bragging rights. With over 2.75 billion buildings detailed in the map, the ...

A microscope that cost less than £50 and took under 3 hours to build using a common 3D printer could be transformative for ...

3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achieved impressive ...

Bespoke design is possible because Zellerfeld's 3D printers aren't constrained by the processes of traditional shoe factories. Zellerfeld instead prints shoes in one piece, eliminating concerns such ...

Google Maps has got fresh competition. Using machine learning, computer engineers have developed an interactive map that ...

Abstract: Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. Learning-based methods have gained attention for ...

Abstract: Single-view 3D object reconstruction (SVOR) aims to recover the 3D shape of an object from a single 2D image. Despite advances in deep learning (DL), challenges such as incomplete image ...

The AI-native PeopleOS replaces fragmented HR stacks with a fully adaptive platform that lets organizations design, evolve, and run every people process their own way, keeping pace with a world that ...

SAM 3D Objects is a foundation model that reconstructs full 3D shape geometry, texture, and layout from a single image, excelling in real-world scenarios with occlusion and clutter by using ...

Human 3D vision is based on parallax: each eye captures a slightly different perspective of the world, and the brain fuses these two views into a single, rich 3D perception. Glasses-free, or ...