TapMo
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Kebii
I directly run the first command in shape_diffusion and got the following error  Could someone please check that?
Hi, I checked the demo results' obj and it looks great. Tho I do have some customization request: 1. How to run TapMo on a customized model? i.e. given an...
``` python3 -m sample.generate_handle_motion --model_path ../weights/diffusion_model_latest.pt --arch trans_dec --emb_trans_dec False --dataset t6d_mixrig --char_feature_path ../demo/shape_features/001.npy --save_path ../demo/motion/motion_3 --text_prompt "walk forward and turn right." Loading model args from [../weights/args.json] Warning: was not...
Fantastic work! Will the code be open sourced? and when?
Do you mean you use ICP to transfer the motion of SMPL to other characters? 
Great work! Where do I get a file like shape_features/001.npy from?
Hi, Thanks for this amazing work! I was wondering when you are planning on releasing the training code.
How do you obtain the skeleton-driven mesh mentioned in the paper? The article doesn't seem to explain this in great detail.
Hi, Did you plan to release the training script of this model? If yes, when will they be publicly available? Thx
**Mesh Feature Embedding** is extract from character in the **Handle Predictor**, **But how to extract this feature embeding is not mention anywhere in your paper?** Thanks for your work.
