Researchers at NVIDIA have come up with a clever machine learning technique for taking 2D images and fleshing them out into 3D models.

A neural field network developed at Washington University in St. Louis, can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

A new AI tool harnessing machine learning is capable of converting 2D images into 3D models that can be taken into Blender and other similar ...

A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.

Nvidia Research and others collaborated to create the DIB-R framework that can predict 3D properties from 2D images to create 3D models.

Medical start-up uses AWS machine learning to turn 2D patient scans into 3D printed models By Gary Flood May 20, 2022 Audio mode toggler Dyslexia mode Summary: axial3D is using AWS to build 3D models ...

Copilot 3D will turn your 2D images into 3D models. The tool is freely available to anyone, though you do need a Microsoft account. Microsoft suggests using an image with a single subject, even ...

New work from Northwestern Engineering researchers takes another step toward better evaluating 2D materials. A team of investigators, led by Professor Horacio Espinosa, reported advances in ...