But in a new preprint paper, a team hailing from Microsoft Research detail a framework that they claim is the first “scalable” training technique for 3D models from 2D data.

Editor's note: Edwin T. Parks' column, Talking Pictures, appears regularly on the DrBicuspid.com advice and opinion page, Second Opinion. Once you've entered the world of three dimensional imaging, it ...

So first his system renders a 3D reconstruction of the 2D image in very low resolution. You can still get a lot from that — for example, that the outer third of the whole volume appears to be empty.

The benefit of three-dimensional (3D) visualization for liver disease is uncertain. To evaluate the effectiveness and safety of 3D versus two-dimensional (2D) video-assisted hepatectomy for LD. We ...

Researchers have created a method to design custom masks that transform 2D fluorescent microscopy images into 3D movies. Rice University researchers have added a new dimension to their ...

This combination of high-capacity model and large-scale training data provides ... image 3D reconstruction. The AI algorithm can produce detailed geometry from a video or a shape image, ...

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. Share: Facebook Twitter Pinterest LinkedIN Email ...

An artificial intelligence algorithm can transform still images into a high-resolution, explorable 3D world, with potential implications for film effects and virtual reality. By feeding the neural ...