Closed smandava98 closed 3 months ago
@statho
The min
and max
values for the SMPL betas were calculated from the pseudo ground-truth betas of the training datasets. The idea behind this normalization is to put the SMPL betas in [-1, 1] range, so that we can use common variance schedules for the diffusion process. The SMPL thetas are naturally within that range.
We found that using unnormalized SMPL betas works well too!
Hey! Great work!
I just had one question:
Where did you get the min and max values to normalize the betas from? I see the file name is betas_stats_eft_fits.npz. Where is this initially derived from? Did you calculate this or?