解决2D高斯点阵渲染中的锯齿问题，支持变焦不失真。
Anti-Aliased 2D Gaussian Splatting
- 引入世界空间平滑核，约束高斯点频率以抗锯齿
- 提出对象空间Mip滤波器，实现局部高效抗混叠
- 保持几何精度，适配缩放与视角变化场景
2D高斯点阵（2DGS）近期成为新颖视图合成与表面重建的有前景方法，相比体素3DGS具有更优视图一致性与几何精度。然而，当渲染采样率与训练不一致时，2DGS会出现严重混叠伪影，限制其在需相机缩放或变视场场景的应用。我们发现其根源在于表示中缺乏频率约束及屏幕空间裁剪策略无效。为此，提出AA-2DGS，一种抗混叠的2DGS形式，保留几何优势并显著提升多尺度渲染质量。方法引入基于训练视图最大采样频率的世界空间平滑核，有效消除缩放时的高频伪影；同时通过射线-点阵交点映射的仿射近似，推导出新型对象空间Mip滤波器，可高效在每个点阵局部空间实施恰当抗混叠。
原文摘要 · Abstract (English)
2D Gaussian Splatting (2DGS) has recently emerged as a promising method for novel view synthesis and surface reconstruction, offering better view-consistency and geometric accuracy than volumetric 3DGS. However, 2DGS suffers from severe aliasing artifacts when rendering at different sampling rates than those used during training, limiting its practical applications in scenarios requiring camera zoom or varying fields of view. We identify that these artifacts stem from two key limitations: the lack of frequency constraints in the representation and an ineffective screen-space clamping approach. To address these issues, we present AA-2DGS, an anti-aliased formulation of 2D Gaussian Splatting that maintains its geometric benefits while significantly enhancing rendering quality across different scales. Our method introduces a world-space flat smoothing kernel that constrains the frequency content of 2D Gaussian primitives based on the maximal sampling frequency from training views, effectively eliminating high-frequency artifacts when zooming in. Additionally, we derive a novel object-space Mip filter by leveraging an affine approximation of the ray-splat intersection mapping, which allows us to efficiently apply proper anti-aliasing directly in the local space of each splat.
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