ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
About DA3-Long
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thanks for your great work on Depth Anything 3!
I have two questions:
1. When will the code for DA3-Long be released?
I saw the mention of the “long” version in the paper and demos, and I’m wondering if there is an expected timeline for releasing the code or pretrained models for DA3-Long.
2. How to obtain metric-scaled point clouds when using DA3-Long without the pose-conditioned mode?
If I don’t use the pose-conditioned mode, but I do have prior poses or trajectories that already contain metric scale (e.g., from GPS/INS/visual odometry), is there a way to enforce or recover metric scale in the depth predictions produced by DA3-Long?
In other words, is there a recommended way to combine DA3-Long with externally scaled poses so that the resulting point clouds also maintain real-world scale?
Thanks!
Contributor guide
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Research direction
Review the paper and demos referenced in the issue alongside the current project documentation and release information. A useful outcome would be a maintainer-confirmed DA3-Long release status and clear guidance on whether externally scaled poses can produce metric-scaled point clouds without pose-conditioned mode.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100