Stunning **3D Gaussian Splat** of the *Symposion Lindabrunn* sculpture park in Austria - captured by [**Christoph Schindelar**](https://superspl.at/user?id=schindelar3d) 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.

🔗 [View the splat on superspl.at](https://superspl.at/view?id=50482705)

**More about SOG compression:**  
The **SOG** format is a compact container for 3D Gaussian Splat data developed by PlayCanvas. It achieves **\~15–20× smaller files** than PLY by quantizing and reorganizing splat attributes into 8-bit WebP textures - all referenced through a single `meta.json`.

Each Gaussian’s 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.

That’s 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.

📘 Learn more: [PlayCanvas SOG Format Specification](https://developer.playcanvas.com/user-manual/gaussian-splatting/formats/sog/)

3D Gaussian Splat of Symposion Lindabrunn - Just 39 MB with PlayCanvas SOG 🗜️