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.The code will be released upon acceptance.