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Found 5 papers, 4 papers with code
Deep Attentive Time Warping
Unlike other learnable models using DTW for warping, our model predicts all local correspondences between two time series and is trained based on metric learning, which enables it to learn the optimal data-dependent warping for the target task.
Attention to Warp: Deep Metric Learning for Multivariate Time Series
This approach adapts a parameterized attention model to time warping for greater and more adaptive temporal invariance.
Guided neural style transfer for shape stylization
Designing logos, typefaces, and other decorated shapes can require professional skills.
Neural Style Difference Transfer and Its Application to Font Generation
In our proposed method, the difference of font styles between two different fonts is found and transferred to another font using neural style transfer.
Constrained Neural Style Transfer for Decorated Logo Generation
We propose using neural style transfer with clip art and text for the creation of new and genuine logos.
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