LOD-GS: Achieving Levels of Detail using Scalable Gaussian Soup

Figure 1 . We propose a novel scalable representation of Gaussian Soup in 3DGS based on discrete triangle primitives, which is able to deliver consistently high-quality performance across various Levels-of-Detail (LOD) while progressively reducing memory usage by downsampling within each triangle primitive.