This paper introduces SO(2)-Equivariant Gaussian Sculpting Networks (GSNs) as an efficient approach for 3D object reconstruction from single-view image observations.
A novel approach called DIG3D that marries Gaussian splatting with a deformable transformer to efficiently and accurately reconstruct 3D objects from a single RGB image.