About training loss in paper and implementation
SuwoongHeo opened this issue · 0 comments
SuwoongHeo commented
Hi,
In the paper, you said that the pretaining is conducted with the supervision of blend weights only (wgt
in the below code). However, there are several losses except the skinning weight loss named diff_can
and spr_wgt
.
neuralgif/models/train_shape.py
Lines 156 to 160 in 40a4a96
The definition of diff_can
is obvious but spr_wgt
defined below is hard to understand for me. Could you give me an explanation about what this loss means or any reference related to this loss?
neuralgif/models/train_shape.py
Lines 152 to 153 in 40a4a96
Thanks in advance :)