Comments (5)
I have the same doubt, can you help me? My contact information is [email protected]
from score-denoise.
I have the same doubt, can you help me? My contact information is [email protected]
How could I help you? If you want the get the score, you can simply output it in the end of the NN.
from score-denoise.
I would like to ask you how to visualize clean point cloud and noisy point cloud like the author, it is very important to me, thank you very much for your help
from score-denoise.
You can check open3d for visualization. Use their api you can easily visualize them.
from score-denoise.
Can you give me any contact details, I want to ask you about separate visualization of point clouds, thanks a lot
from score-denoise.
Related Issues (20)
- When to publish your code? HOT 4
- dataset HOT 4
- Supervised loss function HOT 4
- train results HOT 13
- issue about test dataset
- 定性结果 HOT 1
- About dataset production and baseline HOT 1
- how to make the visual figures which noisy points have yellow color and clean points have blue color? HOT 2
- Results on a large number of points HOT 3
- AttributeError: module 'distutils' has no attribute 'version' HOT 2
- RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 37712 but got size 31882 for tensor number 1 in the list.
- gaps when used on large-scale point cloud
- Train on larger point clouds
- can not install pytorch3d successfully?
- hello,Can you share the ground truth of PCNET test dataset? HOT 1
- visualization HOT 1
- RuntimeError: Given groups=1, weight of size [128, 63, 1], expected input[100000, 66, 4] to have 63 channels, but got 66 channels instead HOT 1
- unsupervised adaptation of model HOT 1
- PCNet result HOT 1
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