The title and the abstract of this preprint are also available

一种基于卷积神经网络的油画风格迁移算法

EasyChair Preprint 919

6 pages•Date: April 23, 2019

Jiang Min, Sheng Ran, Zhu De, Duan Yunsheng, Li Fangfang and Sun Dong

Abstract

油画风格是把一张图像的油画风格信息加到任意某张图像上，并保持该图像的语义内容，产生一个新的具有观赏性的图像。本文主要介绍了一种基于卷积神经网络的图像风格算法，可以分离和重组自然图片的图像内容与风格，进而实现图片的油画化迁移。该算法可以将任意图像的内容与众多知名油画风格相结合，获得高感知质量的艺术作品。通过实验验证该算法能够实现图像内容与优化风格的深度融合，证明了该算法的有效性。

Keyphrases: Convolutional Neural Network, image stylization, oil painting

Links:

https://easychair.org/publications/preprint/Rtmc

BibTeX entry

BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:

@booklet{EasyChair:919,
  author    = {Jiang Min and Sheng Ran and Zhu De and Duan Yunsheng and Li Fangfang and Sun Dong},
  title     = {A Oil Painting Style Migration Algorithm Based on Convolutional Neural Network},
  howpublished = {EasyChair Preprint 919},
  year      = {EasyChair, 2019}}

Download PDF Open PDF in browser