DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

High-fidelity 3D reconstruction of common indoor scenes is crucial for VR and AR applications. 3D Gaussian splat-ting, a novel differentiable rendering technique, has achieved state-of-the-art novel view synthesis results with high ren-dering speeds and relatively low training times. However, its performance on scenes commonly seen in indoor datasets is poor due to the lack of geometric constraints during op-timization. In this work, we explore the use of readily accessible geometric cues to enhance Gaussian splatting op-timization in challenging, ill-posed, and textureless scenes. We extend 3D Gaussian splatting with depth and normal cues to tackle challenging indoor datasets and showcase techniques for…