Previous post was about making Gaussian Splatting data sizes smaller (both in-memory and on-disk). This one is still about the same topic! Now we look into clustering / VQ. Teaser: this scene (garden tools from my own shed) is just 7.5 megabytes of data now. And it represents the metal shading (anisotropy / brushed metal parts) quite well! Spherical Harmonics take up a lot of space! In raw uncompressed Gaussian Splat data, majority of the data is Spherical Harmonics coefficients.
