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 ...