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Found 3 papers, 1 papers with code
VNT-Net: Rotational Invariant Vector Neuron Transformers
In this work, we introduce a rotational invariant neural network by combining recently introduced vector neurons with self-attention layers to build a point cloud vector neuron transformer network (VNT-Net).
Multi-modal 3D Shape Reconstruction Under Calibration Uncertainty using Parametric Level Set Methods
This method not only allows us to analytically and compactly represent the object, it also confers on us the ability to overcome calibration related noise that originates from inaccurate acquisition parameters.
A Non-linear Differential CNN-Rendering Module for 3D Data Enhancement
In this work we introduce a differential rendering module which allows neural networks to efficiently process cluttered data.
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