Antoine GUEDON

Woops, sorry, I made a small mistake in my previous message. To change the mesh regularization factor, you should not change `surface_mesh_laplacian_smoothing_factor` at line 166 as this is not used...

Hey @MagicJoeXZ, I think I may have what you need, for both capture and smoothing. I pushed a small change to `sugar_extractors/coarse_mesh.py` and updated the Tips section of the `README.md`...

It could also be nice to change the depth of the Poisson reconstruction depending on reconstructing the foreground or the background. For example, here, your chair in the foreground seems...

Hello @lms7127, Thank you so much for your nice words! Could I see an example of your image dataset? Looking at the Gaussian Splatting, it seems that your scene consists...

Woops, sorry, I made a small mistake in my previous message. To change the mesh regularization factor, you should not change `surface_mesh_laplacian_smoothing_factor` at line 166 as this is not used...

Hi @SeanGuo063, Actually, using the point with the maximum density value is not a good idea for extracting a surface, for several reasons. Please let me explain them below. 1....

Hello @SYSUykLin, This is an interesting question! It's true that the density regularization is quite hidden in the paper. Please take a look at page 5, just under Equation 5,...

Vanilla Gaussian Splatting generally ends up with 1M to 5M Gaussians after optimization. Similarly, during the refinement stage of SuGaR, we aim for approximately 2M Gaussians on the surface, as...

Hello @zlukich, Indeed, the resulting mesh looks quite bad. The output `.OBJ` file is a mesh, so you should get a good-looking result if you open it with Blender, for...

You're right, the setup is important; Here, your images are close-ups on the main object, placed on a monochrome floor. Unfortunately, a flat, monochrome surface like this generally results in...