ProGS: Towards Progressive Coding for 3D Gaussian Splatting

ArXi:2603.09703v1 Announce Type: new With the emergence of 3D Gaussian Splatting (3DGS), numerous pioneering efforts have been made to address the effective compression issue of massive 3DGS data. 3DGS offers an efficient and scalable representation of 3D scenes by utilizing learnable 3D Gaussians, but the large size of the generated data has posed significant challenges for storage and transmission. Existing methods, however, have been limited by their inability to progressive coding, a crucial feature in streaming applications with varying bandwidth. To tackle this limitation, this paper.