Surface reconstruction and novel view rendering from sparse-view images are challenging. Signed Distance Function (SDF)-based methods struggle with fine details, while 3D Gaussian Splatting (3DGS)-based approaches lack global geometry coherence. We propose a novel hybrid method that combines the strengths of both approaches: SDF captures coarse geometry to enhance 3DGS-based rendering, while newly rendered images from 3DGS refine the details of SDF for accurate surface reconstruction. As a result, our method surpasses state-of-the-art approaches in surface reconstruction and novel view synthesis on the DTU and MobileBrick datasets. Code will be released at https://github.com/aim-uofa/SurfaceSplat.
@article{arxiv.2507.15602,
title = {SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting},
author = {Zihui Gao and Jia-Wang Bian and Guosheng Lin and Hao Chen and Chunhua Shen},
journal= {arXiv preprint arXiv:2507.15602},
year = {2025}
}