GENERATIVE GEOMETRIC NEURAL NETWORKS FOR 3D SHAPE MODELLING

摘要

A method for generating output geometric domain data is disclosed. The geometric decoder method comprises receiving an input comprising at least an input representation and decoding the input to generate an output geometric domain by applying on the input representation at least an intrinsic convolution layer, wherein the intrinsic convolutional layer comprises a consistent local ordering of data points on the geometric domain.