Learning to group discrete graphical patterns
ACM Trans. Graph., Volume 36, Issue 6, 2017, Pages 225:1-225:11.
convolutional neural networks discrete pattern analysis perceptual grouping supervised learning
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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