edit: looks like the data is trained from machinery parts. impressive regardless, but i’d add that to the lander
edit: looks like the data is trained from machinery parts. impressive regardless, but i’d add that to the lander
Ok too niche, except that's exactly the use-case as I see it so if that's too niche then what good is it? Whatever call it pre-alpha poc and move on...
Tried "grommet", got all finger rings. Closer but not close enough to be useful. It wasn't a mix of ringular-shaped objects including grommets, and grommets aren't only round either. None of the rings were even slightly grommet shaped, purely tori and belts, some with add-ons and cut-outs.
Perhaps it needs a couple orders of magnitude more input samples before it becomes useful. And by "useful" I do mean even just as a proof of concept, because I don't see any concept proven here.
There are a few though! Try "dog" or "cookie cutter" for example.
not the best tool for the job of making something organically shaped, but maybe they also wanted to run some aerodynamics tests on it?
Even purely artistic uses need parametric models of organic things though. Games, other non-game modelling, 3d printing.
Both games and general modelling needs parametric versions of basically everything in the model. If you're trying to design and evaluate some cattle processing facility, you'll want a lot of randomly varied cow models.
But I bet the biggest use is games and movies. You don't model every dog from scratch, you take the parametric dog model and move the sliders to get all the different dogs in your commercial or show or game.
its not the only one, and other tools are better suited for something like an apple. you can still post-process it to get it right sized for a printer
I.e. it would not be in dataset because the use cases for 3D apples are outside of typical use cases where people resort to CAD software.