Discrepancies Between Pose Data from SMPLH and SMPLX Models

[dmanche03]

I was comparing the pose data acquired using the SMPLH model and the SMPLX model, and they are completely different. Here I show you an example using the first frame of Female1General_c3d\A10_-_lie_to_crouch_stageii from ACCAD.

SMPLH
[-5.28587546e-02 3.18321298e+00 2.86769262e-01 1.87985071e-01
-3.28126344e-02 1.25973224e-01 2.33502786e-01 -9.54447751e-02
-6.95481912e-02 -7.26082831e-02 2.84007407e-02 -1.41281304e-03
1.67701064e-01 -3.51661185e-01 -3.66743500e-03 1.41078305e-01
7.60592446e-02 9.05875079e-02 2.47945799e-01 -7.29279170e-02
1.13941007e-01 -5.59121585e-01 2.44027199e-01 6.15656504e-02
-3.43792931e-01 -1.02720430e-01 1.27754733e-01 -1.82564123e-01
-1.04343080e-02 4.14243528e-02 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
-5.66352590e-01 6.92667182e-02 -2.08218832e-03 3.43038674e-02
-6.67430649e-03 -1.76900539e-01 2.40519315e-02 3.63300711e-02
9.42173707e-02 -6.07348132e-01 -8.18780924e-02 1.04404039e-01
8.18575018e-02 7.31033427e-02 -3.04884643e-01 -7.78302396e-02
-2.07694238e-01 3.13522868e-01 1.22029609e-01 -1.99294607e+00
3.46932121e-01 1.84445247e-01 2.11453307e+00 -2.53616643e-01
4.98774062e-02 -6.99014022e-01 6.80582789e-01 -1.34362577e-01
7.15069989e-01 -6.44079300e-01 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 0.00000000e+00 1.11678716e-01
4.28921748e-02 -4.16441837e-01 1.08811325e-01 -6.59856789e-02
-7.56220010e-01 -9.63929651e-02 -9.09156592e-02 -1.88459291e-01
-1.18095039e-01 5.09438526e-02 -5.29584500e-01 -1.43698409e-01
5.52417000e-02 -7.04857141e-01 -1.91829168e-02 -9.23368482e-02
-3.37913524e-01 -4.57032983e-01 -1.96283945e-01 -6.25457533e-01
-2.14652379e-01 -6.59982865e-02 -5.06894207e-01 -3.69724357e-01
-6.03446264e-02 -7.94902279e-02 -1.41869695e-01 -8.58526333e-02
-6.35528257e-01 -3.03341587e-01 -5.78809752e-02 -6.31389210e-01
-1.76120885e-01 -1.32093076e-01 -3.73354576e-01 8.50964279e-01
2.76922742e-01 -9.15480698e-02 -4.99839438e-01 2.65564722e-02
5.28808767e-02 5.35559148e-01 4.59610410e-02 -2.77358021e-01
1.11678716e-01 -4.28921748e-02 4.16441837e-01 1.08811325e-01
6.59856789e-02 7.56220010e-01 -9.63929651e-02 9.09156592e-02
1.88459291e-01 -1.18095039e-01 -5.09438526e-02 5.29584500e-01
-1.43698409e-01 -5.52417000e-02 7.04857141e-01 -1.91829168e-02
9.23368482e-02 3.37913524e-01 -4.57032983e-01 1.96283945e-01
6.25457533e-01 -2.14652379e-01 6.59982865e-02 5.06894207e-01
-3.69724357e-01 6.03446264e-02 7.94902279e-02 -1.41869695e-01
8.58526333e-02 6.35528257e-01 -3.03341587e-01 5.78809752e-02
6.31389210e-01 -1.76120885e-01 1.32093076e-01 3.73354576e-01
8.50964279e-01 -2.76922742e-01 9.15480698e-02 -4.99839438e-01
-2.65564722e-02 -5.28808767e-02 5.35559148e-01 -4.59610410e-02
2.77358021e-01]

SMPLX
[ 1.22104409e-02 -3.07468771e+00 -5.34800136e-02 8.64856127e-02
-1.07771460e-01 5.43344488e-02 1.01858483e-01 -3.32436769e-02
-2.64323895e-02 -1.99076613e-01 3.37003581e-02 -1.44205001e-02
1.52680646e-01 -3.69237827e-01 1.01812771e-02 1.05219610e-01
5.19276196e-02 7.12863869e-02 -1.18297987e-03 -6.50658382e-02
6.07422879e-02 -5.26834816e-01 2.58468018e-01 1.14479276e-01
-3.58570839e-01 -1.45719632e-01 1.28709926e-01 -7.87402778e-02
-6.13970994e-03 2.77577424e-02 0.00000000e+00 0.00000000e+00
0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00
-3.38284734e-01 -4.30724532e-02 -1.76813848e-02 6.69551765e-02
-1.18277096e-02 -1.56784498e-01 3.88480225e-02 2.61849245e-02
5.96432048e-02 -5.82861808e-01 -6.67700800e-02 1.51055043e-01
1.58484275e-01 6.16261993e-02 -4.46290089e-01 -1.07228637e-02
-2.11757542e-01 5.56315178e-01 3.58846368e-01 -1.96872566e+00
5.45899352e-01 4.38484175e-01 2.13101388e+00 -4.94414964e-01
2.94530703e-02 -6.53083874e-01 8.02864071e-01 -5.61494791e-02
6.47359249e-01 -8.29692995e-01 1.11678716e-01 4.28921748e-02
-4.16441837e-01 1.08811325e-01 -6.59856789e-02 -7.56220010e-01
-9.63929651e-02 -9.09156592e-02 -1.88459291e-01 -1.18095039e-01
5.09438526e-02 -5.29584500e-01 -1.43698409e-01 5.52417000e-02
-7.04857141e-01 -1.91829168e-02 -9.23368482e-02 -3.37913524e-01
-4.57032983e-01 -1.96283945e-01 -6.25457533e-01 -2.14652379e-01
-6.59982865e-02 -5.06894207e-01 -3.69724357e-01 -6.03446264e-02
-7.94902279e-02 -1.41869695e-01 -8.58526333e-02 -6.35528257e-01
-3.03341587e-01 -5.78809752e-02 -6.31389210e-01 -1.76120885e-01
-1.32093076e-01 -3.73354576e-01 8.50964279e-01 2.76922742e-01
-9.15480698e-02 -4.99839438e-01 2.65564722e-02 5.28808767e-02
5.35559148e-01 4.59610410e-02 -2.77358021e-01 1.11678716e-01
-4.28921748e-02 4.16441837e-01 1.08811325e-01 6.59856789e-02
7.56220010e-01 -9.63929651e-02 9.09156592e-02 1.88459291e-01
-1.18095039e-01 -5.09438526e-02 5.29584500e-01 -1.43698409e-01
-5.52417000e-02 7.04857141e-01 -1.91829168e-02 9.23368482e-02
3.37913524e-01 -4.57032983e-01 1.96283945e-01 6.25457533e-01
-2.14652379e-01 6.59982865e-02 5.06894207e-01 -3.69724357e-01
6.03446264e-02 7.94902279e-02 -1.41869695e-01 8.58526333e-02
6.35528257e-01 -3.03341587e-01 5.78809752e-02 6.31389210e-01
-1.76120885e-01 1.32093076e-01 3.73354576e-01 8.50964279e-01
-2.76922742e-01 9.15480698e-02 -4.99839438e-01 -2.65564722e-02
-5.28808767e-02 5.35559148e-01 -4.59610410e-02 2.77358021e-01]

Is there a specific reason why they are different?