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That is exactly what manifold interpolation is. E.g. producing a spork by interpolating between a spoon and a fork on a manifold of kitchenware. Interpolation obviously does generalize to items not present in the training set -- DL would be useless otherwise.
The above is basically a fancy version of the "smile vector" or "sunglasses vector" people were demonstrating in 2016. It's interpolation on a visual manifold that was densely sampled during training. It's actually a fantastic demo of what manifold interpolation means!
The easy thing you could do demonstrate manifoldness here is to sample a grid of generated pictures that densely cover the spectrum "character type" X "object held". It would look awesome and I'd love to see it.
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