StyleTime: Style Transfer for Synthetic Time Series Generation. (arXiv:2209.11306v1 [cs.LG])

Neural style transfer is a powerful computer vision technique that can
incorporate the artistic "style" of one image to the "content" of another. The
underlying theory behind the approach relies on the assumption that the style
of an image is represented by the Gram matrix of its features, which is
typically extracted from pre-trained convolutional neural networks (e.g.,
VGG-19). This idea does not straightforwardly extend to time series stylization
since notions of style for two-dimensional images are not analogous to …

arxiv series style transfer time series transfer