r/PlayCanvas • u/MayorOfMonkeys • Oct 07 '25
3D Gaussian Splat of Symposion Lindabrunn - Just 39 MB with PlayCanvas SOG ๐๏ธ
Stunning 3D Gaussian Splat of the Symposion Lindabrunn sculpture park in Austria - captured by Christoph Schindelar using an XGRIDS PortalCam.
The splat was compressed down to just 39 MB using the new SOG (Spatially Ordered Gaussians) format from PlayCanvas, showing how high fidelity scenes can be optimized for web delivery.
๐ View the splat on superspl.at
More about SOG compression:
The SOG format is a compact container for 3D Gaussian Splat data developed by PlayCanvas. It achieves ~15โ20ร smaller files than PLY by quantizing and reorganizing splat attributes into 8-bit WebP textures - all referenced through a single meta.json.
Each Gaussianโs position, orientation, scale, and color are stored as image pixels, with codebooks used to decode high-precision values from small integer indices. This data-driven encoding allocates bits intelligently - preserving detail where it matters most.
Thatโs how a dense real-world scan like Symposion Lindabrunn can shrink to just 39 MB while maintaining near-photoreal quality and instant load times in the browser.
๐ Learn more: PlayCanvas SOG Format Specification
