Comments (3)
a straight-forward way is to train networks with fixed number of joints. Such network will only work for a particular skeleton template though. The losses can be simplified and the clustering step is not necessary then (also the connectivity is not necessary since the structure is fixed)
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sorry this is regarded as the limitation of RigNet. It doesn't support fix constraint on skeleton structure, and will be addressed in the future work.
from rignet.
Cool thanks! Is that change something in plan and have an estimated time? Or do you have some ideas I can try to achieve it?
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Related Issues (20)
- 可以提供colab版吗?
- Running RigNet in python3.9 and get Aborted HOT 11
- the issue on Dataset Directory variable (DATASET_DIR) for training
- Imcomplete skeleton
- The link of the dataset has been removed. HOT 3
- Data licensing HOT 1
- Code to compute metrics is missing HOT 5
- Can we do rig on custom SMPL ?
- Bad skinning/weights issue HOT 3
- Running `quick_start.py` Error HOT 1
- Compared to NeuroSkinning, regarding the skin of clothing parts
- std::bad_alloc Error
- Why normalize? HOT 1
- trained_models not working HOT 1
- How to save the final result in.obj format? HOT 1
- I can not read the .obj file
- Is there a code for drawing the per-vertex skin weight prediction errors map?
- eval_skinning.py
- the link of Data is broken
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