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Working with meshes having different number of vertices?

Open asadabbas09 opened this issue 4 years ago • 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?

asadabbas09 avatar Jan 22 '21 07:01 asadabbas09

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

komms avatar Jul 26 '21 15:07 komms