A more principled, pixel-error driven formulation for density control in 3D Gaussian Splatting, with mechanisms to control the total number of primitives and correct a bias in the current opacity handling strategy.
Feature 3DGS presents a general method that significantly enhances 3D Gaussian Splatting through the integration of large 2D foundation models via feature field distillation, enabling a range of functionalities beyond novel view synthesis, including semantic segmentation, language-guided editing, and promptable/promptless instance segmentation.