Research on Aesthetic Perception of Artificial Intelligence Style Transfer

Chia Hui Feng, Yu Chun Lin, Yu Hsiu Hung, Chao Kuang Yang, Liang Chi Chen, Shih Wei Yeh, Shih Hao Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution


At present, there is still room for evolution in style transfer of open source programs. This research uses open source code for style transfer on GitHub. In addition, it supports the development of online AI Attraction Page, Windows versions, Andorid platform, and Intel NCS. It also strengthens calculation and supports bases of multiple platforms. It is able to implement static style transfer on film, and speed up style transfer inferencing performance on web page. In addition, the literature review explores aesthetic perception elements and applies them to calculate parameter setting. The results of this study discover when the content image weight is 7.5 and the style image weight is 120, the inferenced image can retain characteristics of the original image, and come out with new blending style. Besides, to freeze the content and style image weight ratio, and increase the style image weight value to more than 10,000, the thin film color effect may appear. When there are 32 filters, the extracted color and style can show the most appropriate proportion and state. When the style size is adjusted to 410 × 256 and the content image is close in size, the original style features become more prominent. Finally, keep the style image free space at appropriately 25%, higher texture effect may occur after training.

Original languageEnglish
Title of host publicationHCI International 2020 - Posters - 22nd International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
Number of pages9
ISBN (Print)9783030507251
Publication statusPublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 2020 Jul 192020 Jul 24

Publication series

NameCommunications in Computer and Information Science
Volume1224 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference22nd International Conference on Human-Computer Interaction, HCII 2020

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)


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