W/ multi-view attentionW/O multi-view attentionInput imagesFront-right viewFront-right viewBack viewBack viewfidelity textured meshes from single-view images. When
provided with a single image, Wonder3D initiates the pro-
cess by generating consistent multi-view normal maps and
paired color images. Subsequently, it utilizes a novel nor-
mal fusion algorithm to extract highly-detailed geometries
from these multi-view 2D representations. Experimental re-
sults demonstrate that our method upholds good efficiency
and robust generalization, and delivers high-quality geome-
try.
Future Works. While Wonder3D has demonstrated
promising performance in reconstructing 3D geometry from
single-view images, there are still some limitations that the
current framework does not fully address. First, the cur-
rent implementation of Wonder3D only produces normals
and color images from six views. This limited number of
views makes it challenging for our method to accurately re-
Wonder3D