Video wird geladen...
Video konnte nicht geladen werden
"near real-time method for 6-DoF tracking of an unknown object from a monocular RGBD video sequence [...] a Neural Object Field that is learned concurrently with a pose graph optimization process in order to robustly accumulate information into a consistent 3D representation"
222,937 Aufrufe • vor 3 Jahren •via X (Twitter)
10 Kommentare

Whaaaaaaat? Does this mean finally tracked beers? In social #VR?

Asking the important question!😎🍻😅

Caveats: “near” real-time and requires RGBD camera. I assume a fused feed of iPhone’s back camera rgb + depth sensor might work, but be limited to high end users. Code coming soon, so we’ll find out:

Indeed cut through the intro but specifically kept these 2 constraints. That being said most of the interesting work we see these days with NeRF capture via mobile do require this kind of camera so even though it's not everywhere it's still popular. Also NVIDIA so... "near"➡️💰

@SubutaiAhmad makes me think of the coffee cup ;-)

This has a lot of potential for 3d animation tools. Recording this transform and playing it back would effectively turn this into a motion capture device. Or you could use this transform as input to drive a more sophisticated animation rig.

@EMostaque What I see 😁😁😉

Expired: using middle mouse button to rotate a 3-D model Tired: 3Dconnexxion spacenavigator Wired: everything is a 3-D mouse

@SaveToNotion #thread

@EMostaque This is extremely impressive
