Comments (3)
Why do you want to do this? The only thing I can say with confidence is that the code works as-is. If you make that change I'm not sure what will happen.
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I just found out the problem of using normalized directions here. Using normalized directions will make some of the sampled points fall before the near plane and will have very few sampled points near the far plane.
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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
- 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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