> TSDF memory isn’t an issue since Niessner et al. (2013).
I would strongly disagree. This paper uses TSDF and runs into memory issues. And ATLAS is using TSDF and running into memory issues. So for practical applications, TSDF is still too memory hungry.
Try out our app, Metascan, to see an example of using TSDF with a multi-resolution GPU hashtable that only stores voxel data near surfaces. Or just skim the original voxel hashing paper from 2013 to understand the technique.
Storing voxel data in an array is a lot simpler. So if it’s not the focus of the research, then why would academics engineer something more complex?
It doesn't by default, for power reasons, but it will in a pinch.