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Could you please let me know why the regressor used for training uses the standard SMPL regressor + 5 keypoints, however the regressor for the datasets are quite different, for ex in COCO, pelvis is added as the mean of left and right hip, but in the original SMPL, the pelvis is above the hips, also the hips are way closer. Similarly for the HM36.
Wouldn't this inherently cause error in the 3D and 2D loss? or am I mistaken somewhere?
The text was updated successfully, but these errors were encountered:
Could you please let me know why the regressor used for training uses the standard SMPL regressor + 5 keypoints, however the regressor for the datasets are quite different, for ex in COCO, pelvis is added as the mean of left and right hip, but in the original SMPL, the pelvis is above the hips, also the hips are way closer. Similarly for the HM36.
Wouldn't this inherently cause error in the 3D and 2D loss? or am I mistaken somewhere?
The text was updated successfully, but these errors were encountered: