facebookresearch / tava

Code for the paper "TAVA Template-free Animatable Volumetric Actors".
BSD 3-Clause "New" or "Revised" License
202 stars 19 forks source link

Custom human training data #11

Closed ghavidelsahar closed 2 years ago

ghavidelsahar commented 2 years ago

Hi there, I have a question about data preparation for custom data. This dataset is labeled in a way that canonical pose and human pose has large rotation and translation differences. Do you think this affects model training? because so far I was not able to get any decent output on this dataset

SMPL difference: image

Do you have any suggestion besed on the following results? I have used zju config file and all default parameters without modification, however, loss_c does not converge properly. Obtained output for val_ind: 0000_1_345_1