通过方向一致性优化3D高斯点云的密度控制，减少冗余点数并提升重建质量。
DC4GS: Directional Consistency-Driven Adaptive Density Control for 3D Gaussian Splatting
- 基于梯度方向一致性动态调整点云分裂策略，避免盲目分割。
- 实验显示点数减少最高达30%，重建精度显著提升。
- 适合需要高效高保真3D重建的应用场景。
我们提出一种方向一致性（DC）驱动的自适应密度控制方法（ADC），用于3D高斯点云渲染（DC4GS）。传统ADC仅依据位置梯度大小进行点分裂，而本方法进一步引入梯度方向一致性，通过梯度角度一致性实现。该机制更准确捕捉局部结构复杂性，避免冗余分裂。当必须分裂时，利用方向一致性确定最优分裂位置，使子点云更好地对齐局部结构，而非随机放置。实验表明，相比现有方法，本方法可将点数减少高达30%，同时显著提升重建保真度。
原文摘要 · Abstract (English)
We present a Directional Consistency (DC)-driven Adaptive Density Control (ADC) for 3D Gaussian Splatting (DC4GS). Whereas the conventional ADC bases its primitive splitting on the magnitudes of positional gradients, we further incorporate the DC of the gradients into ADC, and realize it through the angular coherence of the gradients. Our DC better captures local structural complexities in ADC, avoiding redundant splitting. When splitting is required, we again utilize the DC to define optimal split positions so that sub-primitives best align with the local structures than the conventional random placement. As a consequence, our DC4GS greatly reduces the number of primitives (up to 30% in our experiments) than the existing ADC, and also enhances reconstruction fidelity greatly.
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