Comments (6)
So where is the BlockNeRF implementation? I don't see any module about "learned pose refinement", "exposure", or "visibility prediction" which are the main contributions of the paper. All I see is just copy pastes from Mega-NeRF (and from DVGO). Of course you are free to use whatever name you want, but you're using the original BlockNeRF's abstract and video in the README! Then people come here but find nothing of the real BlockNeRF (or they just use without noticing)???
I apologize if I'm wrong, but what I see here is just nothing more than a clickbait without any authentic content.
from unboundednerfpytorch.
Sure, the ultimate goal should be the large-scale neural radiance fileds. But Block-NeRF is easy to search and remember so we keep this name. This repo is not restricted to the original Block-NeRF algorithm but is heading towards a system such as Detectron2.
from unboundednerfpytorch.
We are benchmarking the two algorithms and supporting all the datasets. At that time, one can clearly observe the difference.
You may refer to the Mega-nerf's authors' post: cmusatyalab/mega-nerf#23
from unboundednerfpytorch.
Thank you, sjtuytc.
Did you mean that this work is for benchmarking the two algorithms? If right, I got your work now. Because I see that the title is BlockNerf for Pytorch, I think this is the code for Block-nerf.
Thank you for your clarification.
Cheers.
from unboundednerfpytorch.
Thank you Sjtuytc.
from unboundednerfpytorch.
I close this issue temporally and please re-open if the above solution does not address your problem.
from unboundednerfpytorch.
Related Issues (20)
- Bugs in Block-NeRF HOT 3
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- 请教 HOT 3
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- 测试nuscene数据集 HOT 3
- 请教一下运行自己数据的问题 HOT 3
- 训练图片下采样问题 HOT 1
- 渲染视频相机视角问题 HOT 2
- 请问这个训练配置,是对应190G的原始waymo数据, 还是19G的processed 的数据集?
- Export to point clouds HOT 1
- RuntimeError: configuration file type HOT 2
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