Comments (2)
Colmap should be able to reconstruct the poses from the lego dataset, but I definitely wouldn't use the LLFF dataloader and parameters. The LLFF loader assumes that you're looking at a "front facing" scene, which is definitely not the case for the Blender data.
You probably want to use the blender code path and data loader, and write your own modification for getting the colmap cameras into the blender format.
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Yeah, I totally agree with you, but I don't know how to align the blender and colmap poses, which when plotted appear to be sufficiently different.
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Related Issues (20)
- Could you provide the Pre-Trained model?
- Batch_size Can't reduce GPU Memory HOT 5
- Why are we using cylindrical volume representation instead of conical frustum for forward facing scenes? That's because of changing camera's coordinate system to NDC? HOT 1
- Question about mipnerf360 HOT 4
- Question about CPU OOM. HOT 2
- Extracting isosurfaces of Mip-NeRF HOT 1
- Radii computation with and without NDC HOT 3
- Why positional encoding for viewing direction? HOT 3
- a bug about training process
- Why the training time is longer than NeRF HOT 4
- average error matrics in paper HOT 2
- Is it safe to use unnormalized ray directions while sampling points? HOT 3
- Tiny typo in supplemental material HOT 1
- origins and directions issues HOT 2
- scripts/train_blender.sh: line 31: 11426 Segmentation fault (core dumped)
- A confusion about the order of sin and cos in the IPE part HOT 3
- Is dx (or base_radius of cone) all the same for rays of different pixel in a picture? HOT 1
- Use normalized direction vector or not? HOT 1
- How to understand "The variance of the conical frustum with respect to its radius r is equal to the variance of the frustum with respect to x or (by symmetry) y. " HOT 4
- How to get equation (5) HOT 1
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