DeltaConv
DeltaConv
Anisotropic convolution is a central building block of CNNs but challenging to transfer to surfaces. DeltaConv learns combinations and compositions of operators from vector calculus, which are a natural fit for curved surfaces. The result is a simple and robust anisotropic convolution operator for point clouds with state-of-the-art results.
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
https://paperswithcode.com/paper/deltaconv-anisotropic-point-cloud-learning
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds