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

H36M, MuCo SMPL GT #27

Open
asw91666 opened this issue Dec 13, 2022 · 1 comment
Open

H36M, MuCo SMPL GT #27

asw91666 opened this issue Dec 13, 2022 · 1 comment

Comments

@asw91666
Copy link

Hi. thanks for sharing the nice work.

In your code, You use SMPLify-X pseudo GT on 3D datasets(H36M, MuCo), and use Neural Annot pseudo GT on 2D datasets(CrowdPose, MSCOCO).
Can I ask why you don't Neural Annot on H36M, MuCo?

@hongsukchoi
Copy link
Owner

@asw91666

I remember using NeuralAnnot of H36M and MuCo brought marginal gains. I think it's because H36M and MuCo already have accurate 3D joint annotation (not mesh though), since they are MoCap datasets.

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