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I'd like to extract SMPL coefficients like humannerf did (https://github.com/chungyiweng/humannerf?tab=readme-ov-file#metadatajson)
after WHAM, I could get results `(['poses_body', 'poses_root_cam'…
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Great work!
when run python vis.py, can't find "args.resume_trans = '/data/zhongchongyang/T2M_GPT/output_GPT_cross_spatial/GPT_cross_spatial/net_best_fid.pth' " in vis.py.
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Hi, I just came across the paper and attempted to reproduce the results.
I successfully followed your guide in README.md but am unsure about what to do with `result.json` to render the 3D model. C…
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After running the code for SMPL to SMPLX conversion on a dataset, I attempted to use the following line of code code to generate a smplx model from the converted files:
`model = smplx.create(model_fo…
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I ran into an issue with humanml.py when processing samples like CMU/80/80_63_poses.npy. It seems that the start and end indices in humanml_index.csv don't match the length of the sequence. For instan…
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## Report work in 2 weeks (April 25 - May 8)
### Hardware:
- Get six Hi229 sensors (HiPNUC supports all costs, Hi229 + Mother Board + shipping)
- Supported hardware: six sensors are connected to …
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On running demo_swap.py I get error -
`
------------ Options -------------
T_pose: False
batch_size: 4
bg_ks: 13
bg_model: ./outputs/checkpoints/deepfillv2/net_epoch_50_id_G.pth
bg…
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Hello @chingswy , Hope you doing well.
So apparently, I was able to project human3.6m groundtruth and got the smpl reconstructed. However, there is a slight mismatch in the 4 cameras' output. Camer…
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pred_output = smpl_model(betas=pred_betas,
body_pose=pred_rotmat[:, 1:],
global_orient=pred_rotmat[:, [0]],
pose2rot=False…
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Hi authors, I am very amazed by your work.
I notice you use face recognition, posescript and handscript to generate 15.6M frame-level descriptions and have some questions about it.
1. How to genera…