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

Lightstage SMPLX parameters quality? #112

Open
edoRemelli opened this issue Dec 16, 2021 · 2 comments
Open

Lightstage SMPLX parameters quality? #112

edoRemelli opened this issue Dec 16, 2021 · 2 comments

Comments

@edoRemelli
Copy link

edoRemelli commented Dec 16, 2021

Hello!

First of all thanks so much for releasing code and data to the research community, awesome work!

I have dowloaded pre-processed sequences from https://chingswy.github.io/Dataset-Demo/ (LightStage).
When I visualise SMPLX parameters, however, quality seems inferior to what shown in the preview videos on the website (see attached visualisations, especially for hands).

Screenshot 2021-12-16 at 6 03 32 PM

Screenshot 2021-12-16 at 6 03 40 PM

Is this intended, or am I doing something wrong when loading the provided SMPLX parameters?

Thanks!

@edoRemelli
Copy link
Author

edoRemelli commented Dec 17, 2021

To follow up on this, I have re-run SMPLX fitting from https://github.com/zju3dv/EasyMocap/blob/master/apps/demo/mv1p.py on the provided OpenPose annotations and fitted SMPLX parameters seem to be fine now (see attached screenshot). I suspect that the provided SMPLX annotations in the dataset are somehow off!!
Screenshot 2021-12-17 at 11 17 42 AM

@edoRemelli edoRemelli changed the title Lightstage annotation quality? Lightstage SMPLX parameters quality? Dec 17, 2021
@chingswy
Copy link
Member

Maybe there is some inconsistent in the model config of hand. In the past maybe I used use_flat_mean=True. I will check it later.

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