A 2D mammogram is the conventional way to look at breast tissue. The machine takes 2 x-ray pictures of each breast. One is ...

In this tutorial, I'll show you how to turn 2d image to 3d video. Use Displacement map. Hope it useful to you. Thanks for ...

Construction robots have been around for a while, automating challenging tasks on job sites. The new kid on this block is called Charlotte, and it's billed as being autonomously capable of building a ...

A recent study offers proof of feasibility for using cosmic radiation detectors to discover underground spaces. The detectors identify muons—particles created when cosmic radiation collides with Earth ...

Scientists have developed a lens-free mid-infrared camera using a modern twist on pinhole imaging. The system uses nonlinear crystals to convert infrared light into visible, allowing standard sensors ...

In brief: Holographic display startup Looking Glass has introduced numerous products to facilitate the creation and viewing of images with three-dimensional depth over the past several years. The ...

Google narrows the gap with ChatGPT as millions tap Nano Banana to make hyperrealistic 3D figurines. Google narrows the gap with ChatGPT as millions tap Nano Banana to make hyperrealistic 3D ...

Imagine designing a lifelike mini collectible of yourself with just a simple prompt. Sounds exciting, right? Well, that’s what Google’s Gemini Nano Banana is all about. If you’ve seen it popping up on ...

Abstract: In traditional clinical practice, doctors often have to deal with 3D information based on 2D-displayed medical images. There is a considerable mismatch between the 2D and 3D dimensions in ...

On Tuesday, Tencent released HunyuanWorld-Voyager, a new open-weights AI model that generates 3D-consistent video sequences from a single image, allowing users to pilot a camera path to “explore” ...

Crime-scene models with detailed measurements once took hours to collect. Now, law-enforcement agencies are increasingly turning to new technology to help speed up the work and better collect evidence ...

Abstract: Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene modeling ...