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.
@article{arxiv.2111.10283,
title = {The Joy of Neural Painting},
author = {Ernesto Diaz-Aviles and Claudia Orellana-Rodriguez and Beth Jochim},
journal= {arXiv preprint arXiv:2111.10283},
year = {2021}
}