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neural_style [2017/11/06 10:59]
neural_style [2019/01/19 13:53] (current)
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 https://​arxiv.org/​abs/​1711.00889 Structured Generative Adversarial Networks https://​arxiv.org/​abs/​1711.00889 Structured Generative Adversarial Networks
 +https://​github.com/​VinceMarron/​style_transfer Style Transfer as Optimal Transport
 +https://​nlp.stanford.edu/​pubs/​li2018transfer.pdf Delete, Retrieve, Generate:
 +A Simple Approach to Sentiment and Style Transfer
 + In
 +this paper, we propose simpler methods motivated
 +by the observation that text attributes
 +are often marked by distinctive phrases (e.g.,
 +“too small”). Our strongest method extracts
 +content words by deleting phrases associated
 +with the sentence’s original attribute value, retrieves
 +new phrases associated with the target
 +attribute, and uses a neural model to fluently
 +combine these into a final output.
 +https://​arxiv.org/​abs/​1808.10122v1 Learning Neural Templates for Text Generation
 +Encoder-decoder models are largely (a) uninterpretable,​ and (b) difficult to control in terms of their phrasing or content. This work proposes a neural generation system using a hidden semi-markov model (HSMM) decoder, which learns latent, discrete templates jointly with learning to generate. We show that this model learns useful templates, and that these templates make generation both more interpretable and controllable. ​
 +https://​web.cs.hacettepe.edu.tr/​~karacan/​projects/​attribute_hallucination/#​ Manipulating Attributes of Natural Scenes via Hallucination
 +https://​arxiv.org/​abs/​1810.01175 Line Drawings from 3D Models
 +https://​hal.inria.fr/​hal-01802131v2/​document Unsupervised Learning of Artistic Styles with
 +Archetypal Style Analysis
 +https://​compvis.github.io/​adaptive-style-transfer/​ A Style-Aware Content Loss for Real-time HD Style Transfer