Revising Densification in Gaussian Splatting
Samuel Rota Bulò Lorenzo Porzi Peter Kontschieder
In this paper, we address the limitations of Adaptive Density Control (ADC)
in 3D Gaussian Splatting (3DGS), a scene representation method achieving
high-quality, photorealistic results for novel view synthesis. ADC has been
introduced for automatic 3D point primitive management, controlling
densification and pruning, however, with certain limitations in the
densification logic. Our main contribution is a more principled, pixel-error
driven formulation for density control in 3DGS, leveraging an auxiliary,
per-pixel error function as the criterion for densification. We further
introduce a mechanism to control the total number of primitives generated per
scene and correct a bias in the current opacity handling strategy of ADC during
cloning operations. Our approach leads to consistent quality improvements
across a variety of benchmark scenes, without sacrificing the method's
efficiency.