RoDUS is a neural scene representation designed to decompose dynamic scenes into moving foreground and static background elements with self-supervision.
Leveraging a dual-branch framework combining 3D Gaussian Splatting with Neural Signed Distance Fields (SDF) enhances rendering and reconstruction quality.