worldbench / WorldLens
[CVPR 2026 Oral] WorldLens: Full-Spectrum Evaluations of Driving World Models in Real World
Why this job: topics: video-generation
What it does
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Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 9 months ago
- Stars
- 258
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 42% closed
- 7 still open
- Pull requests
- 0 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
- Shell <1%
Topics
- 3d
- 4d
- aigc
- aigc3d
- autonomous-driving
- generation
- generative-ai
- human-preferences
- lidar
- occupancy
- reconstruction
- scene-understanding
Project record
- JobVideo
- StatusListed
- Commits31
- Forks22
- Watching13
- Stars in 28 days+2
- CreatedNov 24, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026