Multiview three-dimensional (3D) reconstruction technology, which is an important driving technology in fields such as medical imaging and cultural relic protection, is gaining increasing attention and research interest. Despite recent successes in 3D reconstruction methods using implicit neural representations, challenges remain in terms of accurately capturing object details and processing complex scenes. To address these issues, a 3D reconstruction method based on a multiscale S-density strategy, called MS-Neus, is proposed. The proposed method attempts to improve the reconstruction quality and fidelity by obtaining more local information and expanding the expressiveness of implicit neural representations. The integration of information across different scales results in accurate and detailed reconstruction outcomes, showcasing rich details and realism in complex scenes. The experimental results obtained on the DTU MVS dataset demonstrate that the proposed method outperforms existing techniques for high-quality surface reconstruction, more accurately reproducing geometric shapes and detailed object features, particularly excelling in the management of complex geometric structures.