Shuo
1. They both use the `point-to-point` error metric. 2. Yeah, I think the `random sampling` may have the influence because I found that even for the same two scans, run...
Hello, I have another question. In the paper **Comparing ICP variants on real-world data sets**, random downsampling is used. I wonder why choosing random downsampling. From my experiments, using voxel...
The same reason for https://github.com/NVlabs/tiny-cuda-nn/issues/89
You can use open3d for visualization.
Just for some visualization of the result for demonstration, I think it is still valuable to use the point cloud generated after the Gaussian optimization.   The left ones...
@yangqinhui0423 I read the generated 3D Gaussian point cloud similar to the way of https://github.com/graphdeco-inria/gaussian-splatting/blob/2eee0e26d2d5fd00ec462df47752223952f6bf4e/scene/gaussian_model.py#L215-L257 You can use the gaussian means as point coordination and convert the feature to the...
@luoxue-star @hanhantie233 Briefly speaking, after training the Gaussians, we can achieve a `*.ply` file, which has spherical harmonics parameters attached to each Gaussian. To recover RGB color in each Gaussian,...
> @ljjTYJR Thank you for your response. I encountered some negative values when using the SH2RGB function to obtain color. I use [f_dc_0, f_dc_1, f_dc_2] as inputs for the SH2RGB...
Maybe you can post the compiling log and let's check what happened.
Did you add `--recursive` flag when cloning the repo?