Comments (1)
Hi Hwan,
thanks for raising this topic. I think that behaviour is somewhat expected. Since this might be interesting for a wider audience, I added the following text to our FAQ section in this repo's README.
Q: Is ACE0 able to reconstruct from a small set of sparse views?
A: It can work but this scenario is challenging for ACE0. We expect other methods, and even COLMAP, to work much better in this case. ACE0 relies on images having sufficient visual overlap, particularly when registering new images to the reconstruction. You can lower the registration threshold when running
ace_zero.py
via--registration_confidence
setting it to 300 or 100 - but at some point ACE0 will get unstable. ACE0 shines if you have dense coverage of a scene, and reconstruct it from many images in reasonable time.
Best,
Eric
from acezero.
Related Issues (20)
- Multiple cameras , intrinsics? HOT 1
- Zoe-Depth module error? HOT 3
- ffmpeg path HOT 1
- mean camera center when camera poses are unknown HOT 1
- Using the poses generated by acezero with 3DGS HOT 2
- Errors running ace_zero.py with WSL2 HOT 12
- RuntimeError: Re-rendering failed too often... HOT 2
- GLIBCXX_3.4.30 not found when --render_visualization True HOT 3
- ace_zero.py traceback HOT 3
- Submodule Build error HOT 2
- The speed does not match the paper. HOT 1
- ace_zero.py "/path/to/some/images/*.jpg" result_folder Traceback HOT 2
- RGBD as input? HOT 1
- AttributeError: 'NoneType' object has no attribute 'eglGetCurrentContext'
- urllib.error.HTTPError HOT 2
- Incomplete reconstruction HOT 1
- PLY Point Cloud File Generation HOT 1
- Install Error: Package not found HOT 2
- The point cloud visualization shows that the reconstruction effect is too poor. Please tell me what I did wrong. HOT 2
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from acezero.