Comments (2)
Hi, thanks for your interest in our work! For data preprocessing, we first use the scripts provided in HuMoR. As you can see in L355-L357, they separately load and store root, body and hand joints, and there are 21 body joints in total. Therefore, we actually ignore the last 2 joints which, as you said, are different from SMPL/SMPL-H/SMPL-X. Instead, we pad 2 identity rotations at last, making our processed data still having 24 joints and suitable for visualization in Blender.
Line 81 in 7991843
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Thank you for your kind reply!
I did not check HuMoR script.
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Related Issues (20)
- Questions about the processing of SMPL model and AMASS dataset HOT 3
- how to visualize npz animation in blender HOT 6
- About inference on video HOT 1
- Bug with gt translation HOT 1
- process animal data HOT 9
- Potential issue of nn.GroupNorm(8, out_channels) HOT 9
- save motion to bvh HOT 4
- questions about the up axis HOT 10
- Question about training epochs HOT 7
- Multiplication with args.temporal_scale leads to layer size mismatch in reconstruction HOT 3
- Inertialization baseline implementation HOT 3
- Can NeMF be used for generating physically plaussible and smooth motion sequence from coarse predicted motion sequence HOT 1
- should varaible "rotmat_recon" in decode function match to 'global_xform' ? HOT 2
- Clarification on sparse keyframe in-betweening HOT 1
- Issue in the foot skating function
- What is the difference between rotmat and global_xform? HOT 1
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- Bug Appears While Trying to Create BVH Viz with Generative Model HOT 1
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