Content Aware Neural Style Transfer
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jan 2016.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1.
2 papers.
- 2023Controllable Multi-domain Semantic Artwork Synthesis19 Aug 2023
- 2021An Empirical Study and Analysis on Open-Set Semi-Supervised Learning19 Jan 2021