Parameter generation abnormal model

[moondabaojian]

Hello, thank you for your great work！
I use neural network to learn the parameters of smplx, and use gt_vertices and gt_parameters and keypoints as supervision, but the output parameters generate the following human body

When I only use the gt_parameters as the supervision, the waist posture will not be abnormal, but in other cases, the waist posture always has different degrees of abnormality.
In addition, in various training situations, the surface of the face and hand is always not smooth.
Can you give me some advice? thank you

[vchoutas]

@moondabaojian I don't know the exact setting of your training, so I can only speculate.
My guess is that your 3D vertices/joints are not properly centered.
On the surface smoothness issue, it seems strange that this would happen when predicting parameters.
I would expect this only if you directly predict the vertices and the network has not yet converged.
Unfortunately I cannot provide more advice without more information.