Comments (3)
zhan-xu
commented on August 13, 2024
1
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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zhan-xu
commented on August 13, 2024
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.
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siRoblox
commented on August 13, 2024
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)
- Is it possible to process asymmetrical model? HOT 5
- OSError problem HOT 2
- run_joint_pretrain issue on macos
- How to reduce/eliminate the "randomness" of the predicted skeleton? HOT 4
- Is it possible to run without any cuda because I haven't cuda in my machine HOT 1
- 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
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