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

Test on unseen subjects #16

Closed
aniskacem opened this issue Feb 9, 2022 · 2 comments
Closed

Test on unseen subjects #16

aniskacem opened this issue Feb 9, 2022 · 2 comments

Comments

@aniskacem
Copy link

Dear authors,

Many thanks for sharing such an amazing work. Without training, would it be possible to test this tool on 3D scans of unseen subjects in the training? The training data consisting of pairs of (raw scans, motion parameters) is not straightforward to obtain for a given subject.

Thanks!

@JinlongYANG
Copy link
Collaborator

Hi,
Thanks for your interest in our work!
Unfortunately, this work does not generalize to unseen subjects. It only generalizes to unseen poses of the training subjects.

If you are interested, POP or MetaAvatar generalize to unseen subjects to certain extent.

About the paired training data, once you have raw scan sequences, body motion parameters are not that difficult to obtain. 1) Render the raw scans in different views, 2) run 2D or 3D human pose estimation algorithms on these images and 3) fuse these results, you'll get a basic motion parameter estimation.

@aniskacem
Copy link
Author

Thanks for the prompt answer :) !

Indeed, this could be feasible if you have sequences of raw scans, however I was hoping to find a way that animates raw 3d scan while having only a static scan. I will have a look at the two mentioned works. Thanks a lot for the hints!

I am closing this issue.

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