用线性核替代高斯核，提升3D点云渲染清晰度和速度
Beyond Gaussians: Fast and High-Fidelity 3D Splatting with Linear Kernels
- 用线性核替代高斯椭球，解决细节模糊问题
- 在三个数据集上实现最佳保真度，帧率提升30%
- 适合追求高清3D渲染的视觉与图形研究者
近期3D高斯点阵（3DGS）进展显著提升了新视角合成质量，实现了高质量重建与实时渲染。然而，浮动图元、过度重建等模糊伪影仍是难题。现有方法通过优化场景结构、几何表示、训练图像模糊处理、渲染一致性及密度控制来缓解问题，但核函数设计仍未被充分探索。本文指出高斯椭球的软边界是导致这些伪影的原因之一，限制了高频区域的细节捕捉。为此，提出3D线性点阵（3DLS），用线性核替代高斯核，在高频区域实现更锐利精确的结果。在三个数据集上的评估显示，3DLS达到当前最优保真度与精度，并相较基线3DGS提升30%帧率。代码将在论文接受后公开。
原文摘要 · Abstract (English)
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.
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