Recent advancements in 3D Gaussian Splatting (3DGS) have substantially improved novel view synthesis, enabling high-quality reconstruction and real-time rendering. However, blurring artifacts, such as floating primitives and over-reconstruction, remain challenging. Current methods address these issues by refining scene structure, enhancing geometric representations, addressing blur in training images, improving rendering consistency, and optimizing density control, yet the role of kernel design remains underexplored. We identify the soft boundaries of Gaussian ellipsoids as one of the causes of these artifacts, limiting detail capture in high-frequency regions. To bridge this gap, we introduce 3D Linear Splatting (3DLS), which replaces Gaussian kernels with linear kernels to achieve sharper and more precise results, particularly in high-frequency regions. Through evaluations on three datasets, 3DLS demonstrates state-of-the-art fidelity and accuracy, along with a 30% FPS improvement over baseline 3DGS. The implementation will be made publicly available upon acceptance.

本研究解决了3D高斯点云渲染中的模糊伪影问题，提出了一种新颖的方法——3D线性点云渲染（3DLS），通过使用线性核替代高斯核来提升高频区域的细节捕捉。实验结果表明，3DLS在渲染保真度和准确性方面达到了先进水平，并且相比于基线3D高斯点云渲染，帧率提升了30%。

超越高斯面：快速高保真3D线性点云渲染