Hi @jchibane ,
Thanks for sharing the amazing work!
We are trying to convert the generated point clouds (under the folder experiments/shapenet_cars_pretrained/evaluation/generation/) to mesh using the ball pivoting algorithm. However, we found that it is very difficult to obtain high-quality meshing results. We use the ball pivoting algorithm provided by MeshLab. When the radius is large, e.g. 0.05, the reconstructed mesh is incomplete. However, if a small radius, e.g. 0.01, is used, though the reconstructed surface is more complete, there exist a lot of artifacts and the surface normals are not consistent.
The results are shown below:
Reconstruction result using radius = 0.05
Reconstruction result using radius = 0.01
Could you provide more details on how you generate mesh from the point cloud? Or could you share your code of point-to-mesh conversion?
Since we are trying to compare your work in our paper, we would like to ensure our comparison is fair.
Thank you for your response in advance!
Hi @jchibane ,
Thanks for sharing the amazing work!
We are trying to convert the generated point clouds (under the folder experiments/shapenet_cars_pretrained/evaluation/generation/) to mesh using the ball pivoting algorithm. However, we found that it is very difficult to obtain high-quality meshing results. We use the ball pivoting algorithm provided by MeshLab. When the radius is large, e.g. 0.05, the reconstructed mesh is incomplete. However, if a small radius, e.g. 0.01, is used, though the reconstructed surface is more complete, there exist a lot of artifacts and the surface normals are not consistent.
The results are shown below:
Reconstruction result using radius = 0.05
Reconstruction result using radius = 0.01
Could you provide more details on how you generate mesh from the point cloud? Or could you share your code of point-to-mesh conversion?
Since we are trying to compare your work in our paper, we would like to ensure our comparison is fair.
Thank you for your response in advance!