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Found 3 papers, 1 papers with code
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields
We present implicit displacement fields, a novel representation for detailed 3D geometry.
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation
We propose a novel neural network architecture for point cloud classification.
Studying Invariances of Trained Convolutional Neural Networks
Convolutional Neural Networks (CNNs) define an exceptionally powerful class of models for image classification, but the theoretical background and the understanding of how invariances to certain transformations are learned is limited.
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