Content Aware Neural Style Transfer

Rujie Yin

Content Aware Neural Style Transfer

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arxiv 1601.04568 v1 pith:HQI3G2P4 submitted 2016-01-18 cs.CV

Rujie Yin This is my paper · ORCID

classification cs.CV

keywords contentneuralstylenetworktransferadditionalgorithmaware

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This paper presents a content-aware style transfer algorithm for paintings and photos of similar content using pre-trained neural network, obtaining better results than the previous work. In addition, the numerical experiments show that the style pattern and the content information is not completely separated by neural network.

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STaDA: Style Transfer as Data Augmentation
cs.CV 2019-09 reject novelty 4.0 of 10

STaDA applies neural style transfer as a data augmentation method for image classification, reporting up to 2% accuracy improvement on Caltech 101 with VGG16, though the effect varies strongly by style.

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