Comments (2)
ghenter
commented on August 16, 2024
Hi @Bin-Ji,
The functionality to change mean and variance is not built into the code, as far as I know. However, the repository is not restricted to use Gaussian latents (base distributions). Our INNF+ 2020 paper on Studentising flows proposes to change the latent distribution to a multivariate t-distribution to improve statistical robustness, and this change of distribution is already implemented in the codebase – search for studentT. This should give you some pointers for how to modify the code to achieve your goal.
Good luck!
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Bin-Ji
commented on August 16, 2024
Hi, Gustav,
Thanks for your answering, it is really useful for me!
from stylegestures.
Related Issues (20)
- Strange results when I train with multiple GPUs. HOT 2
- 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
- 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
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