Learning to simplify: fully convolutional networks for rough sketch cleanup

@article{SimoSerra2016LearningTS,
  title={Learning to simplify: fully convolutional networks for rough sketch cleanup},
  author={Edgar Simo-Serra and Satoshi Iizuka and Kazuma Sasaki and Hiroshi Ishikawa},
  journal={ACM Trans. Graph.},
  year={2016},
  volume={35},
  pages={121:1-121:11}
}
In this paper, we present a novel technique to simplify sketch drawings based on learning a series of convolution operators. In contrast to existing approaches that require vector images as input, we allow the more general and challenging input of rough raster sketches such as those obtained from scanning pencil sketches. We convert the rough sketch into a simplified version which is then amendable for vectorization. This is all done in a fully automatic way without user intervention. Our model… CONTINUE READING
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