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PeizhuoLi avatar PeizhuoLi commented on August 14, 2024 3

Hi, theoretically speaking it is possible to rig fingers though we haven't tried yet. The method itself naturally supports fingers providing a feasible training dataset. But fingers can introduce a lot more burden to the system and it can be computationally expensive to train the system with almost doubled number of joints.

We will release the code for training in the coming week and if you are interested you could try it.

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PeizhuoLi avatar PeizhuoLi commented on August 14, 2024 1

Hi, the training code has been released. Thanks for your interest!

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qiji77 avatar qiji77 commented on August 14, 2024

你好,我是ucas的研究生,很关注您的工作,想了解下您是否愿意提供训练代码?想尝试一些想法。

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qiji77 avatar qiji77 commented on August 14, 2024

Thank you !

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fire avatar fire commented on August 14, 2024

Thank you!

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fire avatar fire commented on August 14, 2024

I would like to try training all the fingers.

In theory it would be adding the bone effectors to the end of each fingers instead of stopping at the hand.

Question: What are those bone names?

Did I miss anything?

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PeizhuoLi avatar PeizhuoLi commented on August 14, 2024

Hi, the dataset we use doesn't contain finger's rigging. One possible solution could be switch to SMPL-X model.

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TharHtetAungg avatar TharHtetAungg commented on August 14, 2024

@fire Did you make it for training finger rig? If so, could you please share about how did you train it?

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fire avatar fire commented on August 14, 2024

The SMPL-X is licensed for research use only, so I didn't do any work on it.

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TharHtetAungg avatar TharHtetAungg commented on August 14, 2024

@fire SMPL-X have licensed but it is free to use for their model. Did you test it?

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