This is a practical, easy to download implemenation of 1D, 2D, and 3D sinusodial positional encodings for PyTorch and Tensorflow. This also works on tensors of the form (batchsize, ch, x), etc. See ...

This function assumes an input tensor in shape ... then the output is 3D coordinates in shape (batch_size, 16, 3). This case is usually seen when you has 16 3D heat-voxels and try to find the ...

Abstract: We propose a novel approach for face verification by encoding 2D and 3D face images as a high order tensor. To perform tensor dimensionality reduction for both the unsupervised and ...

3) rather than 1-order tensors (1D vectors) and 2-order tensors (2D matrices). In order to avoid the difficulties ... a series of experiments are performed on the FRGC 3D scan facial database.

Tensors provide a roadmap of AI neural network data.

and the traditional 2D image encryption algorithms are unsuitable for 3D models. Therefore, based on 1D Sine-Map-Coupling-Logistic-Map (1D-SMCLM), a 3D model encryption algorithm is designed in this ...