ByteDance-Seed / ByteDance-Seed/Depth-Anything-3
About single-view 3DGS reconstruction
- Dominant language
- Python
- Stars
- 6.3k
- Forks
- 702
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
I've been testing **single-view** 3DGS reconstruction using DA3-GIANT-LARGE, but the results are consistently poor across various images. This happens both in the Hugging Face demo and my local setup.
Given that I'm using the largest checkpoint, is this level of performance expected for monocular inputs? Or are there specific configurations/hyperparameters I might be missing to improve the reconstruction quality?
Any insights would be appreciated. Thanks!
https://github.com/user-attachments/assets/80ec76e9-817f-4cff-aed9-cfc46165dd5a
Contributor guide
No contributing guide indexed for this repository
Research direction
Reproduce the reported single-view case with DA3-GIANT-LARGE in both the Hugging Face demo and the local setup, starting by comparing their inputs and configuration. Check the expected behavior for monocular 3DGS reconstruction and identify whether the result is expected or configuration-dependent. Done means documenting a clear explanation or a reproducible configuration in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, python
- Domain
- computer-graphics, computer-vision
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100