Learning to group discrete graphical patterns

    ACM Trans. Graph., Volume 36, Issue 6, 2017, Pages 225:1-225:11.

    Cited by: 7|Bibtex|Views12|Links
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    Keywords:
    convolutional neural networks discrete pattern analysis perceptual grouping supervised learning

    Abstract:

    We introduce a deep learning approach for grouping discrete patterns common in graphical designs. Our approach is based on a convolutional neural network architecture that learns a grouping measure defined over a pair of pattern elements. Motivated by perceptual grouping principles, the key feature of our network is the encoding of elemen...More

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