Comments (1)
Hi @taeyeopl it's easier to implement, there's no specific reason. At that time, we had some issues with generating random surrounding views so we chose to use available cameras instead.
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Related Issues (20)
- Confusing results after step-2 training. HOT 7
- Some minor issues and loss=nan problem HOT 8
- Where is the decay strategy of stride in the code ? HOT 2
- nan HOT 6
- How do you get the depth maps of RGB images like LLFF HOT 2
- How to get the depth map HOT 2
- quadratic images and depth of synthetic dataset HOT 4
- Pretrained models HOT 1
- Question about angle variable HOT 1
- Regarding results in the table 2 HOT 1
- Forward warping HOT 4
- There is a problem in image warping on LLFF dataset. HOT 12
- Testing poses for the result videos HOT 3
- Confusion about the inverse-depth-smooth-loss HOT 2
- how to generate depth of LLFF dataset HOT 1
- Overall Loss Function HOT 1
- How many scans are used to evaluate on DTU? HOT 2
- how to fix "cannot import name 'trunc_normal_' from 'utils'"? HOT 1
- How do I train SinNeRF with my own single RGBD image? HOT 1
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