Live data from Hacker News

HybridNeRF: Efficient Neural Rendering

haithemturki.com

51–53 of 53 posts

Re: HybridNeRF: Efficient Neural Rendering

#51

Earlier quoted context omitted.

I think collision detection is solvable. And the scanning process should be no harder than 3D modeling to the same quality level. Probably much easier, honestly. Modeling is labor intensive. I'm not sure why you say "there’s no scanner available that provides both good 3-D information and good photo realistic textures" because these new techniques don't use "scanners", all you need is regular cameras. The 3D informat…

You are correct; most of these new techniques are using a camera. In my line of work I consider a camera sensor a scanner of sorts, as we do a lot of photogrammetry and “scan” with a 45MP full frame. The inferred 3D from cameras is pretty bad when it comes to accuracy, especially from dimly lit areas or where you dip into a closet or closed space that doesn’t have a good structural tie back to the main space you are…

Have you looked into SkyeBrowse for video to 3D? Seems like it’s able to generate interior 3D textures pretty quickly.

Re: HybridNeRF: Efficient Neural Rendering

#52

Earlier quoted context omitted.

I think collision detection is solvable. And the scanning process should be no harder than 3D modeling to the same quality level. Probably much easier, honestly. Modeling is labor intensive. I'm not sure why you say "there’s no scanner available that provides both good 3-D information and good photo realistic textures" because these new techniques don't use "scanners", all you need is regular cameras. The 3D informat…

There’s some exciting research on recovering light sources https://dorverbin.github.io/eclipse/

Neat! Yeah, we'll need a lot more stuff like this.
Post reply on HN