Problem prevention system
The quality of weights is ensured through a triple safeguard mechanism:
- Pre-processing detection: The model needs to meet the watertightness requirements.
- Algorithmic level assurance: Functional diffusion modeling will identify critical deformation areas (e.g., at joints)
- Post-processing optimization: Automatically smooth transition mutation weights
prescription
- Model checking: Use
check_mesh.pyScripts to verify model integrity - parameterization: Increase the weight smoothing factor
--smooth_factor 0.7 - co-processing: retaining manual weights for special areas and integrating
emergency management
When severe deformation occurs: 1) Reduce the radius of the bone's area of influence 2) Use a similar model in the dataset as a reference 3) Segment the weights to be generated and then suture.
This answer comes from the articleMagicArticulate: generating skeletal structure animation assets from static 3D modelsThe
May not be reproduced without permission:AI productivity tools " How to avoid the problem that automatically generated skin weights cause anomalous model deformation?
