“That’s wizardry”
The on-stage demo showed off rotations for a number of varied images, from largely symmetrical dragons, horses, and bats to more complex shapes like a sketch of a bread basket or a living cup of fries (complete with arms, legs, eyes, and a mouth). In each case, the machine-learning algorithm does an admirable job assuming unseen parts of the model from what’s available in the original 2D view, extrapolating a full set of legs on a side-view horse or the bottom of the Fry Man’s shoes, for instance.
Vertical rotation lets you see the bottom of Fry Man’s shoes here. Credit: Adobe
Still, we’re sure the vector models on stage were chosen to show Project Turntable in its best light. Without a public testable version, it’s hard to say how it would handle weird edge cases or drawings that don’t closely match objects in its training data (which we don’t know the …