Unofficial pytorch implementation of the paper "Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding", NeurIPS 2021. A PyTorch Implementation of PGL-SUM from "Combining Global ...

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 ...

Since positional information is crucial to NLP tasks, the positional encoding has become a critical factor in improving the performance of the Transformer. In this paper, we present a simple but ...

In this work, taking SinGAN and StyleGAN2 as examples, we show that such capability, to a large extent, is brought by the implicit positional encoding when using zero padding in the generators. Such ...