@InProceedings{manjunatha-EtAl:2018:N18-2,
  author    = {Manjunatha, Varun  and  Iyyer, Mohit  and  Boyd-Graber, Jordan  and  Davis, Larry},
  title     = {Learning to Color from Language},
  booktitle = {Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)},
  month     = {June},
  year      = {2018},
  address   = {New Orleans, Louisiana},
  publisher = {Association for Computational Linguistics},
  pages     = {764--769},
  abstract  = {Automatic colorization is the process of adding color to greyscale images. We condition this process on language, allowing end users to manipulate a colorized image by feeding in different captions. We present two different architectures for language-conditioned colorization, both of which produce more accurate and plausible colorizations than a language-agnostic version. Furthermore, we demonstrate through crowdsourced experiments that we can dramatically alter colorizations simply by manipulating descriptive color words in captions.},
  url       = {http://www.aclweb.org/anthology/N18-2120}
}