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the GT motions are only used in the test/eval script for AMASS dataset for the following purposes: 1) serve as input (occluded) if we assume no noise in the input sequence; 2) calculate the evaluation metrics and provide visualization comparison between predictions and GT.
I suggest you go into the details of test/eval scripts, particularly for PROX/EgoBody to see how RoHM reconstructs given the input sequence.
Thanks, one more question, why combine val_output_traj output from TrajNet and motion_repr_clean to construct new_motion_repr and obtain traj_rec_full. Why not replace noised traj directly?
Thanks for your great work!
Why is the motion_repr_clean data involved in the test process, and how should it be handled during the video demo inference process without GT ?
Looking forward to your reply.
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