SuGaR introduces a regularization term that encourages 3D Gaussians to align with scene surfaces, enabling fast mesh extraction via Poisson reconstruction. The method builds hybrid representations combining Gaussian splatting with mesh geometry, allowing easy composition and animation by manipulating the extracted mesh. It addresses the challenge of extracting structured meshes from the unorganized millions of Gaussians produced by standard 3D Gaussian Splatting optimization.