TIGER-AI-Lab / VideoScore
official repo for "VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation" [EMNLP2024]
Why this job: matched by what the repo talks about: video, generation, official, human
What it does
This is the official repo for our EMNLP 2024 paper "VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation".
Get started
pip install -e .- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 377
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 73% closed
- 3 still open
- Pull requests
- 0 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
Topics
- language
- machine-learning
Project record
- JobVideo
- StatusListed
- Commits71
- Forks5
- Watching2
- Stars in 28 days+251
- CreatedJun 17, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026