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Thanks for sharing the code.
Supplying shape parameters don't seem to have any effect.
Following if else condition reads th_beta instead of default self.th_betas, but rendering mesh does not have shape-specific changes. What may be the issue?
# Below does: v_shaped = v_template + shapedirs * betas
# If shape parameters are not provided
if th_betas is None or bool(torch.norm(th_betas) == 0):
th_v_shaped = self.th_v_template + torch.matmul(
self.th_shapedirs, self.th_betas.transpose(1, 0)).permute(2, 0, 1)
th_j = torch.matmul(self.th_J_regressor, th_v_shaped).repeat(
batch_size, 1, 1)
else:
th_v_shaped = self.th_v_template + torch.matmul(
self.th_shapedirs, th_betas.transpose(1, 0)).permute(2, 0, 1)
th_j = torch.matmul(self.th_J_regressor, th_v_shaped)
How do you get shape variations?
The text was updated successfully, but these errors were encountered:
Thanks for sharing the code.
Supplying shape parameters don't seem to have any effect.
Following if else condition reads
th_beta
instead of defaultself.th_betas
, but rendering mesh does not have shape-specific changes. What may be the issue?How do you get shape variations?
The text was updated successfully, but these errors were encountered: