Revising Densification in Gaussian Splatting
This work addresses a specific problem in 3D scene representation for novel view synthesis, offering incremental improvements to an existing method.
The paper tackles limitations in Adaptive Density Control for 3D Gaussian Splatting by proposing a pixel-error driven formulation for density control, leading to consistent quality improvements across benchmark scenes without sacrificing efficiency.
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.