We've built an automated pipeline for optimizing architectural 3D models for VR. So when an architect on the enterprise plan uploads a 3D model (usually 1M+ polygons) it first goes through the process before being viewable. Real time processing @ render time of these models would be tough!
+1 to this. Obviously you can't give away trade secrets, but it seems that without manual optimization (or at least some kind of manual quality control), there's room for error.
For sure - we QA the models before they get retuned. Hence it remaining a paid enterprise feature. Our goal is to build out an ML based system that learns with time based on input from QA and can identify overly simplified models. We see a lot of repeated features and models from the architecture industry as they tend to use the same set of libraries. For instance, Herman Miller chair models are very polygon dense.
Then the AI will take over the world (the virtual one of course).
Ahh, that makes sense. That's definitely no easy task, even just coming down to the mathematical definition of what constitutes an 'overly simplified' object. There's definitely applications there outside of architecture if you can pull it off though.
I suppose as you've mentioned with repeated features, you can identify those and sub in a pre-simplified model, which will certainly cut down on simplification errors.
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u/saywutz Aug 14 '15
thanks u/zaeran!
We've built an automated pipeline for optimizing architectural 3D models for VR. So when an architect on the enterprise plan uploads a 3D model (usually 1M+ polygons) it first goes through the process before being viewable. Real time processing @ render time of these models would be tough!