Comments (2)
Hi, officially, we use 8 NVIDIA Tesla V100 SXM2(32 GB) to train our models. As for KIT-ML, the whole training costs 10 hours. HumanML3D requires 2 days for training. We are now trying to decrease the batchsize and retrain the number of iterations. We will update these results then.
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Thanks a lot ! It is really amazing!
from motiondiffuse.
Related Issues (20)
- Multiple GPU on a single node without slurm HOT 1
- Positional encoding for gesture sequence (self.sequence_embedding)
- Are poses exportable? HOT 2
- Question on number of frames HOT 2
- Evaluation Error HOT 1
- Evaluation on My Dataset: How to Get the 251-dimensional Motion Vectors? HOT 4
- SMPL Visualization HOT 2
- Evaluation Error HOT 4
- what's the topology of the prediction motion data
- would you privode the pretrained model?
- Questions about the part-aware text controlling
- Performance on the KIT Dataset HOT 1
- Permission error when downloading with gdown in colab
- How to implement SMPL skin model? HOT 6
- Cannot able to save the result in .mp4 HOT 1
- Where can I find the fine-grained controlling part HOT 2
- About FEAT_BIAS in dataset.
- Hand + Face of Human Pose
- About text mask
- About motion feature process
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