IDEA-Research / Motion-X

[NeurIPS 2023] Official implementation of the paper "Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset"
https://motion-x-dataset.github.io
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Feature Extractors for Evaluation #24

Open yahshibu opened 7 months ago

yahshibu commented 7 months ago

Hello, great work! And, thank you for sharing your code.

I'd like to train several motion generation models on Motion-X and evaluate them. Your paper says

We pretrain a motion feature extractor and a text feature extractor for the new motion presentation with contrastive loss to map the text and motion into feature space and then evaluate the distance between the text-motion pairs.

I'd like to use your pretrained feature extractors (motion and text) and evaluation code. Do you have a plan to make them publicly available?

linjing7 commented 7 months ago

Hi, thanks for your interest. We have recently improved our text labels and we will release it next week. After that, we will train a new feature extractor with this version and release for evaluation.

yahshibu commented 7 months ago

Thank you for your response! I got it. I look forward to the release. Thanks!

luomingshuang commented 3 months ago

@linjing7 , hi, thanks for your excellent work. At present, I am using motion-x for some works. Can you share your feature extractors ?

luomingshuang commented 2 months ago

I want to know how to compare my new results with the public results on Motion-x if the evaluator models (feature extractors) are different.