sw-gong/spiralnet_plus

Working with meshes having different number of vertices?

asadabbas09 opened this issue · 1 comments

Thanks for sharing your code.

I have a dataset of 3D meshes having a different number of vertices.

The size of convolution layers depends on indices parameter and they are different for each mesh so Is there a way to train SpiralNet on such dataset?

komms commented

It is possible to decimate them to a fixed number using blender etc.