arXiv:2503.07000cs.CV2025-03AAAI被引 16

通过重参数化实现密度与尺度联动,提升3D高斯溅射细节表现

Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting

  • 用重参数化建立密度与尺度的直接关联
  • 动态阈值驱动高频区增密,尺度过滤无效高斯
  • 在更少高斯下实现更好画质,适合高质量渲染场景

通过自适应控制密度并在高频区域生成更多高斯,3D高斯溅射(3DGS)能更好地表示场景细节。从信号处理角度看,表达细节通常需要更多小尺度高斯。然而,当前3DGS缺乏对高斯密度与尺度之间跨域关系的显式约束,导致使用不恰当尺度的高斯表示频率信息,造成精度损失。本文提出通过重参数化缩放参数建立密度与尺度的直接关联,并通过显式约束确保二者一致性(即密度对频率变化响应良好)。此外,我们设计了一种频域感知的密度控制策略,包含增密与删除两个阶段:动态阈值促进高频区域增密,基于尺度的过滤器剔除尺度不当的高斯。在多个数据集上的实验表明,本方法在定量和定性上均优于现有最先进方法。

原文摘要 · Abstract (English)

By adaptively controlling the density and generating more Gaussians in regions with high-frequency information, 3D Gaussian Splatting (3DGS) can better represent scene details. From the signal processing perspective, representing details usually needs more Gaussians with relatively smaller scales. However, 3DGS currently lacks an explicit constraint linking the density and scale of 3D Gaussians across the domain, leading to 3DGS using improper-scale Gaussians to express frequency information, resulting in the loss of accuracy. In this paper, we propose to establish a direct relation between density and scale through the reparameterization of the scaling parameters and ensure the consistency between them via explicit constraints (i.e., density responds well to changes in frequency). Furthermore, we develop a frequency-aware density control strategy, consisting of densification and deletion, to improve representation quality with fewer Gaussians. A dynamic threshold encourages densification in high-frequency regions, while a scale-based filter deletes Gaussians with improper scale. Experimental results on various datasets demonstrate that our method outperforms existing state-of-the-art methods quantitatively and qualitatively.

3D高斯渲染优化密度控制

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