ranahanocka/MeshCNN
MeshCNN
MeshCNN is a general-purpose deep neural network for 3D triangular meshes, which can be used for tasks such as 3D shape classification or segmentation. This framework includes convolution, pooling and unpooling layers which are applied directly on the mesh edges.
Features
- 3D Object Classification - Neural network for processing 3D triangular meshes.
- 3D Shape Analysis - Edge-based convolutional neural network for mesh analysis.
- Convolutional Neural Networks (CNNs) - Listed in the “Convolutional Neural Networks (CNNs)” section of the The Incredible Pytorch awesome list.
