SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting

Zihui Gao, Jia-Wang Bian, Guosheng Lin, Hao Chen, Chunhua Shen; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025, pp. 28525-28534

Abstract

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 both strengths: SDF captures coarse geometry to enhance 3DGS-based rendering, while newly rendered images from 3DGS refine SDF details for accurate surface reconstruction. As a result, our method surpasses state-of-the-art approaches in surface reconstruction and novel view synthesis on DTU and MobileBrick datasets. Code will be released at https://github.com/aim-uofa/SurfaceSplat.

Related Material

[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gao_2025_ICCV, author = {Gao, Zihui and Bian, Jia-Wang and Lin, Guosheng and Chen, Hao and Shen, Chunhua}, title = {SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2025}, pages = {28525-28534} }