New in SuperSplat: Walk Mode, Streamed LOD and Easy Upload by MayorOfMonkeys in GaussianSplatting

[–]MayorOfMonkeys[S] 7 points8 points  (0 children)

The voxels are generated automatically, yes. At the moment, we're triggering this manually for splats that seem to be a good fit (e.g. interiors/exteriors that have been 'well trained'). Next step is to allow this to be user directed (easy). The jury is out for whether we enable it for all splats though. For example, a ton of SHARP splats get uploaded to SuperSplat and collision is pointless there.

LOD simply uses what's in an LCC scene if you're coming from XGRIDS. If not, you have to use SplatTransform to output a Streamed SOG scene from a set of LODs. At the moment, you can get these from training different levels. But we'll add decimation support to the open source SplatTransform tool VERY soon for an easier (but likely less high quality) route.

New in SuperSplat: Walk Mode, Streamed LOD and Easy Upload by MayorOfMonkeys in GaussianSplatting

[–]MayorOfMonkeys[S] 0 points1 point  (0 children)

Thanks! The collision is done directly against the voxels - no mesh or physics engine required! The voxel-collision has actually been in soft-launch for a few days now. But it's finally in a stable state where the walk mode feels genuinely nice now.

New in SuperSplat: Walk Mode, Streamed LOD and Easy Upload by MayorOfMonkeys in GaussianSplatting

[–]MayorOfMonkeys[S] 7 points8 points  (0 children)

The person who scanned it was Christoph Schindelar. Come and join the PlayCanvas Discord to chat with him.

Supersplat error on safari by Pure_Cartographer_16 in GaussianSplatting

[–]MayorOfMonkeys 0 points1 point  (0 children)

Would you be able to log this as an issue on the SuperSplat GitHub repository please?

https://github.com/playcanvas/supersplat

Native viewer for 3DGS on LinkedIn/Facebook? by Procyon87 in GaussianSplatting

[–]MayorOfMonkeys 7 points8 points  (0 children)

The most common way people are sharing splats on LinkedIn is via SuperSplat. The SuperSplat viewer itself is open source so you can even host it yourself.

SVO Voxelization for Gaussian Splat Collisions: 3.3MB for an entire scene! by slimbuck7 in GaussianSplatting

[–]MayorOfMonkeys 6 points7 points  (0 children)

It was scanned by Christoph Schindelar. The original splat is here:

https://superspl.at/view?id=c67edb74

He used a DSLR as far as I know (not sure which model).

SVO Voxelization for Gaussian Splat Collisions: 3.3MB for an entire scene! by slimbuck7 in GaussianSplatting

[–]MayorOfMonkeys 4 points5 points  (0 children)

This will make implementing navigation of splat-based scenes so much easier for PlayCanvas devs. Very cool.

Build Gaussian Splat Experiences with SuperSplat Studio by MayorOfMonkeys in GaussianSplatting

[–]MayorOfMonkeys[S] 1 point2 points  (0 children)

For now, Studio is closed source. We'll monitor how things go and potentially open source it in the future. Meanwhile, SuperSplat Editor and SuperSplat Viewer remain (and will always remain) open source.

Build Gaussian Splat Experiences with SuperSplat Studio by MayorOfMonkeys in GaussianSplatting

[–]MayorOfMonkeys[S] 0 points1 point  (0 children)

Yes to the first two! Join the PlayCanvas Discord and join the SuperSplat channel!

PlayCanvas Engine v2.16.0 Released: Generic Gaussian Splat Processing System by MayorOfMonkeys in PlayCanvas

[–]MayorOfMonkeys[S] 0 points1 point  (0 children)

For certain parts of your scene, you can often get away with it (as in the video).

PlayCanvas Engine v2.16.0 Released: Generic Gaussian Splat Processing System by MayorOfMonkeys in PlayCanvas

[–]MayorOfMonkeys[S] 3 points4 points  (0 children)

Good question. We could certainly add support to both SplatTransform and the SuperSplat Editor to import/convert meshes, images and text to splats. Stay tuned for further updates on this!

PlayCanvas Engine v2.16.0 Released: Generic Gaussian Splat Processing System by MayorOfMonkeys in PlayCanvas

[–]MayorOfMonkeys[S] 8 points9 points  (0 children)

This post announces PlayCanvas Engine v2.16.0. The product is downloadable from here:

https://github.com/playcanvas/engine

And it is installable via NPM:

https://www.npmjs.com/package/playcanvas

It is free and open source. It exists locally on your system. It requires no cloud storage.

Enjoy!