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Use a CNN architecture to segment and classify 3d meshes

DeepLearningOnGraph

Use a CNN to segment and classify 3d meshes.

The meshes used for this task are the one provided by the Princeton Segmentation Benchmark available here: http://segeval.cs.princeton.edu/

The labels are extracted from: http://people.cs.umass.edu/~kalo/papers/LabelMeshes/

The visualization of the mesh is done with the tools provided with the Princeton Dataset. The training is done with the help of spectral-lib (https://github.com/mbhenaff/spectral-lib).