Interactive texture replacement of cartoon characters based on deep learning model

Abstract To understand the deep learning model, author proposed research of interactive texture replacement cartoon characters. For image segmentation, if you want to fill a without any in detail, or replace unsatisfied area, first, we need separate filled replaced area from cartoon. this reason, traditional segmentation algorithm has been carefully studied and analyzed, chooses Graphcut synthesis algorithm, is parallelized improved, innovative point lighting customization based on original which can affect effect according input image. In terms timeliness effect, improved. Experimental results show that maintain brightness distribution practicability efficiency by author.