Open hanjoonwon opened 6 months ago
Hello @hanjoonwon,
I suppose the lower part of the battery is badly reconstructed mainly because of the transparent pedestal. A transparent object like this one is a nightmare for mesh reconstruction algorithms haha, so I think it plays a role.
Also, because your object is small and quite simple, you may not need such precision and triangles.
low_poly True
with the script train.py
.README.md
file (please make sure you pull the recent changes I pushed to the code first):4. I have holes in my mesh, what can I do?
If you have holes in your mesh, this means the cleaning step of the Poisson mesh is too aggressive for your scene. You can reduce the treshold
vertices_density_quantile
used for cleaning by modifying line 43 ofsugar_extractors/coarse_mesh.py
. For example, you can change this line fromvertices_density_quantile = 0.1
to
vertices_density_quantile = 0.
5. I have messy ellipsoidal bumps on the surface of my mesh, what can I do?
Depending on your scene, the default hyperparameters used for Poisson reconstruction may be too fine compared to the size of the Gaussians. Gaussian could then become visible on the mesh, which results in messy ellipsoidal bumps on the surface of the mesh. This could happen if the camera trajectory is very close to a simple foreground object, for example.
To fix this, you can reduce the depth of Poisson reconstructionpoisson_depth
by modifying line 42 ofsugar_extractors/coarse_mesh.py
.
For example, you can change line 42 frompoisson_depth = 10
to
poisson_depth = 7
You may also try
poisson_depth = 6
, orpoisson_depth = 8
if the result is not satisfying.
Hello @hanjoonwon,
I suppose the lower part of the battery is badly reconstructed mainly because of the transparent pedestal. A transparent object like this one is a nightmare for mesh reconstruction algorithms haha, so I think it plays a role.
Also, because your object is small and quite simple, you may not need such precision are triangles.
- You may try to use the argument
low_poly True
with the scripttrain.py
.- You can also get a smoother mesh and avoid holes in the surface by following this advice in the Tips section of the
README.md
file (please make sure you pull the recent changes I pushed to the code first):4. I have holes in my mesh, what can I do?
If you have holes in your mesh, this means the cleaning step of the Poisson mesh is too aggressive for your scene. You can reduce the treshold
vertices_density_quantile
used for cleaning by modifying line 43 ofsugar_extractors/coarse_mesh.py
. For example, you can change this line fromvertices_density_quantile = 0.1
to
vertices_density_quantile = 0.
5. I have messy ellipsoidal bumps on the surface of my mesh, what can I do?
Depending on your scene, the default hyperparameters used for Poisson reconstruction may be too fine compared to the size of the Gaussians. Gaussian could then become visible on the mesh, which results in messy ellipsoidal bumps on the surface of the mesh. This could happen if the camera trajectory is very close to a simple foreground object, for example. To fix this, you can reduce the depth of Poisson reconstruction
poisson_depth
by modifying line 42 ofsugar_extractors/coarse_mesh.py
. For example, you can change line 42 frompoisson_depth = 10
to
poisson_depth = 7
You may also try
poisson_depth = 6
, orpoisson_depth = 8
if the result is not satisfying.
@Anttwo thank you so much :)
I thought I should make it transparent so the bottom of the object would be visible so it would be reconstructed properly. My purpose was to reconstruct the battery perfectly down to the bottom, but I think the bottom of the object would be obscured too much if the base was colored.
because of transparent?
Currently my images are like this with the subject on a pedestal, so the lower part of the battery is not reconstructed properly. Is there a good way to solve this problem? And the lower part is restored too dirty ++Why is the mesh result much smaller than the actual size? I tried to output to 3dprinter, but the size is too small![image](https://github.com/Anttwo/SuGaR/assets/125524043/04caff9e-bcfb-46f4-9736-ac4ae92ed6e8)