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CUFFS dataset release #14
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Hi @SWWdz . It seems to be not very related to this repo, please have a look to the SMPLX repo you should find more information about how to annotate your image with SMPL-X parameters :) |
You mentioned the Synthetic whole-body CUFFS dataset in your article. How can I download the data set? |
Oh I see, sorry. For the moment I cannot give you a date for the release. I will keep you updated as soon as we release the data. |
Thanks for your share! |
Hi @fabienbaradel , the only pkl file contained in the zip file is |
The new zip file now contains images, license and annotation file called |
That's great, thanks! I still have a question: is it that the dataset doesn't have facial expression parameters as in BEDLAM? I found the parameters in that pkl file don't consist of expression parameters. |
Yes you are right. |
Do you use the optimization method to get smplx parameters from your 2D observation? I am interested in how to get the GT label parameters of humans in smplx parametric model. |
@SWWdz , the pipeline for generating imgaes are annotations is described in the paper (see supp. mat.), I encourage you to look at the CUFFS dataset section to get all the details. In short, we sample SMPL-X parameters, generate the SMPL-X mesh and do a retargetting to Human Generator mesh using optimization and finally do the rendering. I hope that my answer helps for your work. |
Thanks for your work! I have a problem annotating the SMPL-X parameters. Can you tell me how to annotate my image with SMPL-X parameters.
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