让3D高斯渲染更清晰真实，消除模糊与闪烁问题
AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
- 用3D空间评估替代2D近似，从源头解决渲染失真
- 自适应平滑滤波降低锯齿，视锥外边界处理消除跳变
- 基于屏幕平面的分块剔除加速渲染，适合实时应用
尽管3D高斯点阵（3DGS）已革新3D重建，但仍存在混叠、投影伪影和视角不一致等问题，主要源于将高斯点视为2D实体的简化处理。本文提出在3DGS全流程中引入完整的3D高斯评估机制，有效缓解上述问题并保持栅格化效率。具体地，设计自适应3D平滑滤波以抑制混叠，提出稳定的视图空间包围方法消除高斯超出视锥时的跳变伪影。同时，将分块剔除扩展至3D并结合屏幕空间平面，显著提升渲染速度并降低层级栅格化的排序开销。实验表明，该方法在分布内评估集上达到当前最优质量，在分布外视角下性能显著超越现有方法。定性结果进一步验证了其对混叠、畸变和跳变伪影的有效消除，实现真正实时、无伪影的渲染。
原文摘要 · Abstract (English)
Although 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction, it still faces challenges such as aliasing, projection artifacts, and view inconsistencies, primarily due to the simplification of treating splats as 2D entities. We argue that incorporating full 3D evaluation of Gaussians throughout the 3DGS pipeline can effectively address these issues while preserving rasterization efficiency. Specifically, we introduce an adaptive 3D smoothing filter to mitigate aliasing and present a stable view-space bounding method that eliminates popping artifacts when Gaussians extend beyond the view frustum. Furthermore, we promote tile-based culling to 3D with screen-space planes, accelerating rendering and reducing sorting costs for hierarchical rasterization. Our method achieves state-of-the-art quality on in-distribution evaluation sets and significantly outperforms other approaches for out-of-distribution views. Our qualitative evaluations further demonstrate the effective removal of aliasing, distortions, and popping artifacts, ensuring real-time, artifact-free rendering.
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