October 13, 2025Open Access

Segmentation-Driven Initialization for Sparse-view 3D Gaussian Splatting

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SDI-GS reduces Gaussian count by up to 50%, enhancing efficiency in 3D Gaussian Splatting.
Experiments demonstrate comparable or better rendering quality in PSNR and SSIM with minimal LPIPS degradation.
The method leverages region-based segmentation to identify significant areas, optimizing point cloud processing.
Through reduced memory costs and faster training, this approach enhances the practicality of 3D rendering in sparse-view setups.

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Proposed method reduces Gaussian count by up to 50% in 3D rendering, indicating improved efficiency and quality.

Li et al. (2025) studied this question.

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