Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Questions about retraining MoST using 100STYLE dataset #2

Open
Dandrof opened this issue Dec 25, 2024 · 1 comment
Open

Questions about retraining MoST using 100STYLE dataset #2

Dandrof opened this issue Dec 25, 2024 · 1 comment

Comments

@Dandrof
Copy link

Dandrof commented Dec 25, 2024

Hello, I have retargetted the 100STYLE dataset to the skeleton of the xia dataset, and then I selected 8 styles from it and retrained the model following the process outlined in the README. However, the results are not ideal; for example, it fails to capture the Aeroplane style. I modified the contents of xia_dataset.yml. Could there be any code changes that I missed?

@Boeun-Kim
Copy link
Owner

Boeun-Kim commented Dec 30, 2024

Thank you for your interest in our research. Assuming that you have retargeted the 100Style dataset to align all joint positions with the XIA dataset, it seems that the code related to body structure does not need to be modified (e.g., model/networks.py). However, as dataset characteristics can differ, hyperparameters should be adjusted empirically (arguments.py). Additionally, it may be helpful to review the data preprocessing part (data/xia_preprocess.py).

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants