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| A Neural Representation of Sketch Drawings (arxiv.org) | |
| 2 points by aaronjg on Apr 13, 2017 | hide | past | pdf | discuss on HN | |
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In plain words: A neural network learns to draw crude sketches of common objects one stroke at a time, trained on thousands of human doodles across hundreds of categories. Unlike pixel-by-pixel image generators, it produces coherent drawings made of lines defined by coordinates, not pixels. AbstractWe present sketch-rnn, a recurrent neural network (RNN) able to construct stroke-based drawings of common objects. The model is trained on thousands of crude human-drawn images representing hundreds of classes. We outline a framework for conditional and unconditional sketch generation, and describe new robust training methods for generating coherent sketch drawings in a vector format. | |
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Also discussed: Apr 2017 (4 points, 2 comments)
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