SOGS compression keeps coming up here as a go-to method for reducing Gaussian Splatting model sizes. I put together a deep dive into how SOGS actually works under the hood, with some practical insights on how it can be used in production.
The article stays fairly high-level, but I'm happy to dive into specifics in the comments. I learned quite a bit from implementing my own version of SOGS compression.
You can't get a consumer-grade GPU with enough VRAM to run a large model, but you can do so with macbooks.
I wonder if doubling down on that and shipping devices that let you run third party AI models locally and privately will be their path.
If only they made their unified memory faster as that seems to be the biggest bottleneck regarding LLMs and their tk/s performance.
The key goal is that the creators of 3DGS models can use Blurry as a powerful tool to build the 3D experience that is performant, simple, and aesthetically pleasant for end users (viewers).
3DGS models can be shared via a link or embedded on a website, notion, etc..
Link: https://useblurry.com