Stroke-GAN Painter:Learning to paint artworks using stroke-style generative adversarial networks  

作　　者：Qian Wang Cai Guo Hong-Ning Dai Ping Li 

机构地区：[1]School of Computer Science and Engineering,Macao University of Science and Technology,Macao,China [2]Department of Computing,The Hong Kong Polytechnic University,Hong Kong,China [3]School of Computing and Information Engineering,Hanshan Normal University,Chaozhou,China [4]Department of Computer Science,Hong Kong Baptist University,Hong Kong,China [5]School of Design,The Hong Kong Polytechnic University,Hong Kong,China

出　　处：《Computational Visual Media》2023年第4期787-806,共20页计算可视媒体（英文版）

基　　金：This work was supported in part by the Hong Kong Institute of Business Studies(HKIBS)Research Seed Fund under Grant HKIBS RSF-212-004;in part by The Hong Kong Polytechnic University under Grant P0030419,Grant P0030929,and Grant P0035358.

摘　　要：It is a challenging task to teach machines to paint like human artists in a stroke-by-stroke fashion.Despite advances in stroke-based image rendering and deep learning-based image rendering,existing painting methods have limitations:they(i)lack flexibility to choose different art-style strokes,(ii)lose content details of images,and(iii)generate few artistic styles for paintings.In this paper,we propose a stroke-style generative adversarial network,called Stroke-GAN,to solve the first two limitations.Stroke-GAN learns styles of strokes from different stroke-style datasets,so can produce diverse stroke styles.We design three players in Stroke-GAN to generate pure-color strokes close to human artists’strokes,thereby improving the quality of painted details.To overcome the third limitation,we have devised a neural network named Stroke-GAN Painter,based on Stroke-GAN;it can generate different artistic styles of paintings.Experiments demonstrate that our artful painter can generate various styles of paintings while well-preserving content details(such as details of human faces and building textures)and retaining high fidelity to the input images.

关 键 词：AI painting painting strokes artistic style 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]