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Official code of "HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation", CVPR 2021

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The last three source have not Baidu Code 后三个资源没有百度云提取码

Hi, Great work! I wonder if this framework can be trained only using Human3.6M and testing with Human3.6M. Will the result still be promising like stated in the paper? Or...

Hi, I run testing on wild images and found sometimes it will output extremely unnatural body mesh. Here is the input image: ![000003](https://user-images.githubusercontent.com/37493043/133054467-6fb5d3b2-6a7d-4668-8fa0-a52b2f73fd98.png) And below are the screenshots of the...

Hi! I want to download Human3.6M, 3DPW, and MPI-INF-3DHP datasets, and Baidu Drive is more convenient for me. However, their extract codes are not provided. Can you provide these codes?...

Hi, Jiefeng. Can you tell me the acquisition process of Human3.6M 3D joint ground truth for evaluation? Is it obtained from regressed SMPL joints or the original MoCap 3D pose...

Thanks for your great contributions! I want to know how to make annotation files, in other words, given a RGB image, how to get the person's uvd_29, xyz_24, xyz_17 coordinates,...

Thanks for providing excellent annotations in your repo. Your annotations contain a lot of informations including betas, twist angles, SMPL joints an so on. I wonder how it is generated?...

Hello, I was wondering if you had the script to generate the images that correspond to your annotations for the Human3.6M dataset. I didn't see any information on it and...

As mentioned in the paper, you are using posenet's h36m dataset. And the training process adopts supervision on joint rotation. Are you using the rotation annotated by posenet? Are you...

Hello, thanks for the great work! I tried to derive the same values as your 3DPW parsed data but I was unable to obtain the same values `h36m_joints` and `smpl_joints`....