Research on the evaluation of ink animation films based on ChipGAN
Nan Liu, Hongjuan Wang, Yanmei Gao, Haonan Jin · 2023
Ink painting is a typical representative of Chinese painting. With the acceleration of globalization and the continuous development of deep learning and other technologies, Chinese ink painting urgently needs to develop into digital development. Generated adversarial network has been widely used in the field of image style transfer, among which, ChipGAN model is specifically aimed at the study of Chinese ink painting style transfer. In previous studies, we have tried to stylish the animated film ink painting, but there is no transfer learning under the ChipGAN model, and the comprehensive transfer effect evaluation is lacking. This paper will be for the animated film "big fish haitang", select five different ink style style data set, using ChipGAN model for ink style transfer, and use the SSIM image quality evaluation index and HSV color difference value from the content and style of transfer image for a more comprehensive evaluation, to explore the suitable for Chinese ink painting image transfer evaluation method lay the foundation.