I keep meaning to get back to my suite of equirectangular image functions - viewers, editors, authoring etc. and this reminded me to resurrect the Viewer.
https://equinaut.surge.sh/?eqr=https://raw.githubusercontent...
Not quite right I think because the source image issn't 2x1 aspect ratio.
They can look really nice: both in the real world - https://equinaut.surge.sh/?eqr=https://upload.wikimedia.org/...
or
the virtual world: https://equinaut.surge.sh/?eqr=https://live.staticflickr.com...
In case anyone is interested in rendering USDZ scans in Three.js, I created a demo: https://usdz-threejs-viewer.vercel.app/
Very nice and smooth! Do you have source for your demo?
There is one in the Three.JS example suite with source:
Looks promising but the license, Attribution-NonCommercial-NoDerivatives is pretty limiting..
That’s just for the data, isn’t it, the code is Apple Sample Code License which I seem to recall is an MIT type license
Surprised this isn’t in coreML. Seems useful for the Vision Pro or something
Might see it at WWDC this year?
The accuracy of the results don't seem that great. For example, looking at the pictures on the wall in their sample, or the beams in the ceiling.
It's possible it's some artifact of the processing resolution, but I think most people that have worked with NNs for AR input will be surprised that this is not considered disappointing.
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This has nothing to do with NeRF. Is this an AI response?
Edit: Yes, looking at its other comment.
this is bizarre; both accounts were created on the same day, 5 weeks ago
