  Recently, vision transformers have performed well in various computer vision
tasks, including voxel 3D reconstruction. However, the windows of the vision
transformer are not multi-scale, and there is no connection between the
windows, which limits the accuracy of voxel 3D reconstruction. Therefore, we
propose a voxel 3D reconstruction network based on shifted window attention. To
the best of our knowledge, this is the first work to apply shifted window
attention to voxel 3D reconstruction. Experimental results on ShapeNet verify
our method achieves SOTA accuracy in single-view reconstruction.
