Comments (4)
I am not very experienced with 3D, so my experience will not go far here. But what do the avatar poses look like for the corresponding frames? I'm thinking that, if the poses and motion look natural, it is likely a data parameterisation/representation issue; if they do not, it's likely an issue with the motion capture itself.
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Euler angles are discontinuous by nature, so we convert them to exponential maps (in the preprocessing stage) and back (after synthesis). These should be continuous and reside in your 'data/GENEA/processed/features_20fps/joint_rot' folder. If you want to double-check, you can plot them by using the code in the last section of the following script:
https://github.com/simonalexanderson/PyMO/blob/master/demos/bvh2features.ipynb
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Thank you for your insightful advice. I found another problem in the preprocessing.py file. When I want to extract the joint angles for the full body, it will call the RootTransformer's transform method and use the specified "pos_rot_deltas" method. But the supplied preprocessing.py doesn't support this method. As your paper said, the smoothing step for the root rotation angles is quite important, so could you please check if the preprocessing.py is an old version? Looking forward to your advice, thank you in advance.
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Hi again, the 'pos_rot_deltas' are now included in the pymo scipts.
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Related Issues (20)
- bvh files with fixed frames
- Difference between time_steps and seqlen? HOT 2
- Possible bug when computing the log-det of Jacobian for affine coupling HOT 2
- About datasets HOT 1
- For the freshmen about Gesture Generation HOT 2
- Questions about the latent random variable Z HOT 2
- The Python version
- About the Cuda version HOT 4
- About the swapaxes for self.x and self.cond HOT 6
- This dataset link doesn't seem to work. HOT 2
- The dataset are inconsistent HOT 10
- Excuse me, where can I find the dataset used by Example3 in readme? HOT 11
- This is the curve when I use two different data sets for training, and the parameters are the same. It can be roughly seen that the loss in Figure 1 will be lower than that in Figure 2, which can indicate that the performance of the first trained model will be better? HOT 6
- How to apply the output file(*.bvh) to 3D model file(*.3ds) HOT 3
- Some questions about the style control HOT 2
- Some questions about the style control HOT 1
- About the dataset HOT 2
- The trained model posture shakes badly. What might be the cause? Is there any way to solve this problem? HOT 2
- Pre-trained models
- What's the output of this framework?
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