To extract explicit 3D geometry from 2D normal maps and color images, we optimize a neural implicit signed distance field to amalgamate all 2D generated data.

In this paper, we present Wonder3D, an innovative approach designed for efficiently generating high10 fidelity textured meshes from single-view images.

In this section, we conduct a set of studies to verify the effectiveness of our designs as well as the properties of the method.