spiralnet_plus
spiralnet_plus copied to clipboard
Working with meshes having different number of vertices?
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?
It is possible to decimate them to a fixed number using blender etc.