  Neural Painters is a class of models that follows a GAN framework to generate
brushstrokes, which are then composed to create paintings. GANs are great
generative models for AI Art but they are known to be notoriously difficult to
train. To overcome GAN's limitations and to speed up the Neural Painter
training, we applied Transfer Learning to the process reducing it from days to
only hours, while achieving the same level of visual aesthetics in the final
paintings generated. We report our approach and results in this work.
