Very impressive work, but this reads more as data compression and retrieval algorithm than a generative model. For all of the examples they're inputting a novel 2D view of a known object and reconstructing the 3D mesh from the 2D/3D training set of the same object.

I'd like to see how it performs on a novel object that is similar to one in the training set, but not included in the training data.