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Painting captions are often dry and simplistic which motivates us to describe a painting creatively in the style of Shakespearean prose.
Example-based style synthesis
Iddo Drori, Daniel Cohen-Or, and Hezy Yeshurun · 2003
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2015
Earlier work this paper cites.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
Earlier work this paper cites.
Image style transfer using convolutional neural networks
Leon A Gatys, Alexander S Ecker, and Matthias Bethge · 2016
Cited alongside, same era.
Shakespearizing modern language using copy-enriched sequence-to-sequence models
Harsh Jhamtani, Varun Gangal, Eduard Hovy, and Eric Nyberg · 2017
Cited alongside, same era.
Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher · 2017
Cited alongside, same era.
Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola · 2017
Cited alongside, same era.
Beyond narrative description: generating poetry from images by multi-adversarial training
Bei Liu, Jianlong Fu, Makoto P Kato, and Masatoshi Yoshikawa · 2018
Later among the works it cites.
Unsupervised text style transfer using language models as discriminators
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P Xing, and Taylor Berg-Kirkpatrick · 2018
Later among the works it cites.
Prose for painting: source code
Prerna Kashyap, Samrat Phatale, and Iddo Drori · 2019
Closest in time.
Multiple-attribute text rewriting
Guillaume Lample, Sandeep Subramanian, Eric Smith, Ludovic Denoyer, Y-Lan Boureau, et al · 2019
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