Learning to Infer Graphics Programs from Hand-Drawn Images


Really fun paper introducing a model that learns to convert simple hand drawings into graphics programs written in a subset of LATEX. The model combines techniques from deep learning and program synthesis. First a convolutional neural network proposes plausible drawing primitives that explain an image, then this set of drawing primitives is used like an execution trace for a graphics program.


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