Comments (2)
AMASS is the largest MoCap dataset, right now. It is pretty much a unified dataset of all previous MoCap datasets. So it is big enough to assume that it contains a big variety of poses and motions.
We are not sure that covers the all of the motions that we encounter during training but it improves our results(see ablation table in the paper) and that demonstrates that it refines our pose estimations.
So the answer is we are not sure that all poses are subset of AMASS. Results show using it to discriminate between generated and true motions helps. Hence, it has a helpful enough variety of motions.
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Thanks for your relpy!I learn a lot from your work.
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