GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views

Yaniv Wolf, Amit Bracha, Ron Kimmel

Abstract: Recently, 3D Gaussian Splatting (3DGS) has emerged as an efficient approach for accurately representing scenes. However, despite its superior novel view synthesis capabilities, extracting the geometry of the scene directly from the Gaussian properties remains a challenge, as those are optimized based on a photometric loss. While some concurrent models have tried adding geometric constraints during the Gaussian optimization process, they still produce noisy, unrealistic surfaces.