Spacetime Gaussian Feature Splatting for Efficient and Photorealistic Dynamic View Synthesis

Our method proposes a novel Spacetime Gaussian representation that combines 3D Gaussians with temporal opacity, polynomial motion, and parametric rotation to efficiently model dynamic scenes. We further introduce splatted feature rendering to encode view- and time-dependent appearance in a compact manner, and leverage guided sampling of Gaussians to improve rendering quality.