Shypd.aiThe largest open index of AI toolsMeshCNN is a convolutional neural network for 3D meshes in PyTorch, designed for tasks like 3D shape classification and segmentation. It applies convolution, pooling, and unpooling layers directly on mesh edges.
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MeshCNN is a general-purpose deep neural network specifically designed for 3D triangular meshes, implemented using PyTorch. This framework enables advanced tasks such as 3D shape classification and segmentation by applying convolutional, pooling, and unpooling layers directly on the mesh edges. It offers a robust solution for researchers and developers working with 3D data, providing a novel approach to process geometric information. The repository includes scripts for installation, training, and testing on datasets like SHREC and Humans, making it accessible for practical application and further development in the field of geometric deep learning.
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