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Gabriele Romagnoli

@GabRoXR

Showcasing the best of #XR & #AI for creatives and professionals | Tech Ambassador | Speaker
Nederland xraispotlight.substack.com Joined June 2018
1.8K Following 8.7K Followers 3.2K Posts

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Gabriele Romagnoli @GabRoXR
Find the best #3DGS tool for your workflow with a simple quiz: 3dgstoolfinder.xraispotlight.com

It filters a database I created of 35 different tools, from casual free apps to on-device reconstruction pipelines to cloud services specialised in 360 video.

You can use it to test new pipelines, find a free alternative to your current workflow or simply discover something new.

Let me know what you think in the comments below
Gabriele Romagnoli @GabRoXR
Here are 7 reasons to put your #MetaQuest back on and hop back into Supersplat:

1- Two-handed manipulation: squeeze both grips (or make fists with hand tracking) to drag, rotate and scale the whole scene, anywhere from 0.25x to 4x.

2- Much faster on Quest: up to 1M splats, fixed foveation and a 72 Hz target. A large streamed scene on a Quest 3 went from 9.7 fps to 30.7 fps, or 40.3 fps

3- AR hides the skybox, so the scene sits in your passthrough view.

4- Sessions start facing the same way as the camera.

5- Post effects and tone mapping now carry into XR.

6- In #XR, detail level is picked by distance only, so looking over your shoulder doesn’t reveal low-detail splats.

7- Apple Vision Pro runs XR on WebGPU in Safari.
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4 replies 7 reposts 60 likes 2.4K views View on X
Gabriele Romagnoli @GabRoXR
A new SLAM scanner to test: the @FJDynamics V4e and it combines 3 features into one unique and affordable package:

- LiDAR for capturing point clouds.
- RTK for geospatial localization of the outdoor scan.
- A smartphone acting as the computing unit, RGB camera and storage.

It puts the V4E Go in an interesting entry-level category, aiming to bring several capabilities together in a portable and accessible product.

But how well does it actually perform?

I'm particularly curious about the processing pipeline. With some of the other SLAM scanners I've tested, the software, processing and reconstruction side seemed almost like an afterthought.

I'll be testing it first indoors, trying some #GaussianSplatting reconstruction pipelines, and then taking it outdoors for some larger-scale captures.

Let's see how it holds up and what kind of results we can get out of it.

Stay tuned and follow along. Video coming soon!
3 replies 3 reposts 54 likes 2.3K views View on X
Gabriele Romagnoli @GabRoXR
Can you replace a drone with a VEEEEEEEEEERY long stick?

This was one of the questions I was trying to answer when using the @insta360 on a 3.2m extendable invisible stick, combined with some ground-level close-up photos taken with my phone.

The idea was to combine the two datasets and see whether the 360 camera was good enough, and whether both types of images could be merged into the same processing pipeline using Spirula.

The answer is yes and no.

My first processing run, on my #DellProMax T2 Tower equipped with an RTX6000, was successful and produced a 1M-splat .ply model at just 200 MB in around 40 minutes.

It was good to see that the 3.2m stick itself didn't seem to cause any problems. And the additional viewpoints definitely give the splat more freedom than a standard ground-level capture.

360 images and the one taken with my phone aligned beautifully making it possible to get area of the scene at a much higher quality... but that came at a cost.

At just 1 M splats, I believe there weren't enough splats to get enough detail everywhere it was actually possible.

But I think I need more splats. 🤔

What would you try: 3M, 5M, or 10M?

Let me know below.

#DellProPrecision #NVIDIA
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