The new method uses a geometry-driven sampling strategy to preserve curvature information and feed it into the network’s attention mechanism.

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. Researchers from the McKelvey School of Engineering ...

When we think of 3D printing we usually think of a little robot that squirts out endless lines of plastic onto a surface. But vacuum forming—smoothing a sheet of thin plastic over an object to make a ...