Vergleich von 3D-Gaussian-Splatting-Algorithmen zur Rekonstruktion einer komplexen Indoor-Szene

Seven recent 3D-Gaussian-splatting algorithms were compared on a cluttered garage scene to see how well they reconstruct tricky indoor spaces. No single method won outright: Mip-Splatting delivered the sharpest images, Brush the most natural look with least memory, and FastGS the fastest training, so the best choice depends on whether quality, memory, or speed matters most.