GuyTevet / GuyTevet/motion-diffusion-model
How can I train MDM unconditionally with amass?
Open
enhancement
wontfix
- Dominant language
- Python
- Stars
- 4.1k
- Forks
- 462
- PR merge metrics
- No merged PRs in 30d
Description
I tried to train MDM unconditionally using amass instead of humanact12, but the num of joints in amass is 21 while humanact has 23.
Contributor guide
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Research direction
The issue names AMASS and HumanAct12, but it does not mention any files, tests, or entry points. Start by comparing how the two datasets represent joints and how unconditional training is configured; done means documenting or enabling a supported AMASS training path despite the 21-versus-23 joint mismatch.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100