3d gaussian splatting data compression

An apparatus comprising:

• a non-transitory memory configured for storing an application, the application configured for:
• performing compression on a three-dimensional Gaussian splat (3DGS) geometry using a geometry-based point cloud compression (G-PCC) framework;
• encoding scales and rotations as attributes using transform coding;
• compressing positions using occupancy tree encoding;
• implementing block-based graph Fourier transform (GFT) to compress the attributes;
• and
• computing the edge weights based on a similarity between the 3D gaussian distributions using KL-divergence;
• and
• a processor configured for processing the application.

A system comprising:

• an encoder configured for:
• performing compression on a three-dimensional Gaussian splat (3DGS) geometry using a geometry-based point cloud compression (G-PCC) framework;
• encoding scales and rotations as attributes using transform coding;
• compressing positions using occupancy tree encoding;
• implementing block-based graph Fourier transform (GFT) to compress the attributes;
• and
• computing the edge weights based on a similarity between the 3D gaussian distributions using KL-divergence;
• and
• a decoder configured for:
• decoding the compressed Gaussian splat.

A method programmed in a non-transitory memory of a device comprising:

• organizing parameters of a plurality of ordered points;
• storing the plurality of ordered points in a two-dimensional structure, wherein each point of the plurality of ordered points is in a column, and attribute information is stored in each row;
• and
• processing the plurality of ordered points and the corresponding attribute information using a video coding scheme;
• processing position information using a point cloud coding-based scheme, wherein the processed attribute information and position information generates a Gaussian splat bitstream.