Comments (4)
Did you train with
python -m train.train_mdm --save_dir save/my_kit_trans_enc_512 --dataset kit
with our original code?
from motion-diffusion-model.
Thank you for your reply.
Yes, I have trained using the original code you provided:
python -m train.train_mdm --save_dir save/my_kit_trans_enc_512 --dataset kit
I was able to achieve values similar to those in the paper with the humanml dataset.
from motion-diffusion-model.
We were able to reproduce KIT experiment when the code was published. Let me double check this.
from motion-diffusion-model.
Thank you. I understand. I will check it again.
from motion-diffusion-model.
Related Issues (20)
- Convert the motion values to bvh file format
- Not able to generate .mp4 human motion in the output HOT 1
- loss function code HOT 1
- Problem of unconditioned model HOT 1
- questions about Loss Functions and Representation HOT 5
- Question about t2m_mean.py and t2m_std.npy HOT 1
- how to solve the error when run render_mesh HOT 1
- replace transformerencoder with mamba HOT 9
- How to generate visualization mesh real time HOT 2
- About diffusion_steps 50 HOT 1
- About Render SMPL mesh HOT 1
- Why different models are used for condition c and time t? HOT 1
- About Frame control HOT 1
- How to import results into blender HOT 1
- Data pre-processing ,Optimisation algorithms for model training HOT 1
- About diffusion_steps 50 training code release HOT 1
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- About HumanAct12 Dataset Transformation HOT 3
- Performance on KIT dataset HOT 4
- After using -diffusion_steps 50?? HOT 3
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