Style transfer of chinese art works based on dual channel deep learning model

HIGHLIGHTS

• who: Yan Tang from the College of Art of Jiujiang University, Jiujiang, Jiangxi Province, China have published the research work: Style Transfer of Chinese Art Works Based on Dual Channel Deep Learning Model, in the Journal: Computational Intelligence and Neuroscience of 20/09/2022
• what: After the images participating in the experiment are divided into five groups of image groups, the average value of overlap in the image group is calculated according to the above-constructed overlap value relationship.
• how: Based on the application of image style transfer technology in interior decoration design . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.