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Lightstage SMPLX parameters quality? #112

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edoRemelli opened this issue Dec 16, 2021 · 3 comments
Open

Lightstage SMPLX parameters quality? #112

edoRemelli opened this issue Dec 16, 2021 · 3 comments

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@edoRemelli
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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
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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
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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.

@Connaught0
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Hi! I want to know about whether the params in ZJU-mocap are in SMPLX? I check the poses data is 72 dim, seems for smpl.

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