Akihiro Sugimoto

Fast and Compact 3D Gaussian Splatting with Polarized Opacity Prior

The proposed framework provides a simple and effective path toward fast and inherently compact 3DGS training, and leverages a synergistic design: an L2 reconstruction loss to provide error-proportional gradients that stabilize optimization, and a novel Polarized Opacity Prior to actively manage the Gaussian population.