Download PDFOpen PDF in browser
Switch back to the title and the abstract in Chinese

A Oil Painting Style Migration Algorithm Based on Convolutional Neural Network

EasyChair Preprint no. 919

6 pagesDate: April 23, 2019


The oil painting style is to add the sand painting style information of an image to any image, and maintain the semantic content of the image to produce a new ornamental image, mainly introducing a convolutional neural network based image. This paper mainly introduces an image style algorithm based on convolutional neural network, which can separate and reorganize the image content and style of natural pictures, and then realize the oil painting migration of pictures. The algorithm combines the content of any image with many well-known oil painting styles to achieve high-perceptual quality artwork. The experimental results show that the algorithm can achieve deep fusion of image content and optimization style, which proves the effectiveness of the algorithm.

Keyphrases: Convolutional Neural Network, image stylization, oil painting

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  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 no. 919},

  year = {EasyChair, 2019}}
Download PDFOpen PDF in browser