Comments (3)
Hello, both MDM and our method are trained and tested under the same setting (following Guo's method https://ericguo5513.github.io/text-to-motion/).
MDM presents the motions generated by the shorter textual prompt, and we provide the motions generated by the longer textual prompt (not continuous texts, and the longer text description is more difficult to generate). All textual prompts are from the test set.
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So how do you associate the shorter textual prompt into longer textual prompt. Do you release your text?
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So how do you associate the shorter textual prompt into longer textual prompt.
Hello, we didn't associate the shorter textual prompt into longer textual prompt. For both training and testing, we directly use the original text descriptions of both datasets. You can find the datasets in this repo:
https://github.com/EricGuo5513/HumanML3D
I see MDM method generate motion from single textual prompt.
For this question, MDM also uses the same datasets to perform Text-to-Motion experiments, so it can also generate motions from longer texts. Just their demos are generated with shorter text, so it may be a little confusing.
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Related Issues (20)
- Dataset difference may exist between your work and official HumanML3D HOT 1
- How to calculate the trans between each frame? HOT 1
- About the model's height and body shape
- KIT VQ-VAE Training details HOT 1
- How many motion indexes do you have? HOT 5
- Generate SMPL Mesh for rotation data in colab
- Render Multiple Frames in Single Image as Presented in the Paper
- Constraining starting and ending pose HOT 1
- small question about the vq-vae paper
- where is training code for models used in evaluations? HOT 1
- One question about VQ-VAE HOT 1
- 2D motion prediction and keypoint format HOT 1
- Can not reproduce the reported results. HOT 3
- The issue on the evaluation of VQVAE HOT 2
- Motion in-betweening HOT 1
- VQVAE -- translation initialization of training sequences HOT 2
- Why is the length of the generated action sequences always different? HOT 3
- Can you provide the pretrained model for HumanML3D? HOT 2
- A long time during evaluation
- About text_mot_match
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