Comments (2)
Thanks for your question!
We use lambda D = 0.1 for most of the scenes. From my experience, you'll need to rely more on depth information (higher lambda) if you have very few input views. But if you already have 'enough' input views, you may not want to set lambda too high.
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Thanks for your reply!
May I ask how you set such depth parameter with RGBD scenario? I saw yoiur demo from your website. I think compared with COLMAP, they are much denser. So I assume in such scenario you will also set it to a much lower value?
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Related Issues (20)
- Do we need to run COLMAP with the exact poses given in the datasets like DTU and Blender HOT 2
- depth = (poses[id_im-1,:3,2].T @ (point3D - poses[id_im-1,:3,3])) * sc ,WHY? HOT 3
- Generate colmap data HOT 5
- Colmap with load_llff function
- May I ask if you can provide the DTU self-made dataset required for the source code, including the relevant scenarios of scan2 \ 14 \ 21 \ 64
- problem between pose form colmap sparse point cloud and pose in the dataset HOT 1
- Surface Normals from downsampled image rays HOT 1
- OSError: cannot write mode F as PNG HOT 2
- what does relative loss mean? HOT 1
- chapter 3.2 line 9. taking the re-projected z value? HOT 1
- OOM error HOT 1
- How to partition the DTU dataset? HOT 1
- sigma_ Loss and depth_ Differences in loss HOT 1
- RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! HOT 3
- Hi,I can't run your code because of line 1278, in _save rawmode, mode = _OUTMODES[mode] KeyError: 'F' HOT 2
- configs issue HOT 9
- new experiment by kangle HOT 1
- Is there sometime that sigmaloss may be inf? HOT 1
- 1
- difference of Poses created by colmap and poses created for each dataset
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