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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?
The text was updated successfully, but these errors were encountered:
It is possible to decimate them to a fixed number using blender etc.
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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?
The text was updated successfully, but these errors were encountered: