[loxias]

I look forward to reading this in closer detail, but it looks like they solve an inverse problem to recover a ground truth set of voxels (from a large set of 2d images with known camera parameters), which is underconstrained. Neat to me that it works w/o using dense optical flow to recover the structure -- I wouldn't have thought that would converge.

Love this a whole heck of a lot more than NeRF, or any other "lol lets just throw a huge network at it" approach.

[bondarchuk]

>Love this a whole heck of a lot more than NeRF, or any other "lol lets just throw a huge network at it" approach.

Well yes, but that's what gaussian splatting also was. The question is: are their claims to be so much better than gsplat accurate?

[chpatrick]

There's no neural net with gaussian splatting, it's a fancy pointcloud that's optimized with ML techniques.

[bondarchuk]

I know, that's the point.

[chpatrick]

Mea culpa, I misunderstood.