OC1 sub-project: 3D4XR

Summary of the project

3DforXR is about generating 3D assets, i.e. photorealistic 3D models, in a fast, easy and straightforward way, processing them, and then using them inside eXtended Reality applications and experiences. By combining 3D Computer Vision and Artificial Intelligence, 3DforXR will support three different modalities. 1) multi-view 3D reconstruction, where one can upload multiple overlapping images of an object and obtain automatically an exact 3D copy of it, 2) single image 3D prediction, where a single front-facing image of an object is enough to generate a 3D model that resembles, as well as possible, to reality and 3) 3D from text, where one provides just a textual description of the 3D model he needs for an XR application and 3DforXR tool generates a relative 3D asset. Although several software solutions for 3D reconstruction exist in the market, 3DforXR’s unique point is that it offers a single point, a web application at the end of the project, that combines different approaches, where one can generate 3D models optimized and ready to be used in XR applications, from different inputs, images or just text.

How to know more

Want to try 3D4XR? Head over to this link to create a free account and experience the tool. You’ll find quick tips built right into the interface. For a deeper dive and more comprehensive documentation, check here Github.

Take a look to our interview with Ilias Kalisperakis, CEO of up2metric, here.

A selection of objects created with 3DforXR