An Interactive Collaborative Creation System for Shadow Puppets Based on Smooth Generative Adversarial Networks  

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作  者:Cheng Yang Miaojia Lou Xiaoyu Chen Zixuan Ren 

机构地区:[1]Department of Industrial Design,Hangzhou City University,Hangzhou,310000,China [2]College of Computer Science and Technology,Zhejiang University,Hangzhou,310000,China

出  处:《Computers, Materials & Continua》2024年第6期4107-4126,共20页计算机、材料和连续体(英文)

基  金:supported by the Scientific Research Foundation of Hangzhou City University under Grant No.X-202203;the Zhejiang Provincial Natural Science Foundation of China under Grant No.LTGY24F030002.

摘  要:Chinese shadow puppetry has been recognized as a world intangible cultural heritage.However,it faces substantial challenges in its preservation and advancement due to the intricate and labor-intensive nature of crafting shadow puppets.To ensure the inheritance and development of this cultural heritage,it is imperative to enable traditional art to flourish in the digital era.This paper presents an Interactive Collaborative Creation System for shadow puppets,designed to facilitate the creation of high-quality shadow puppet images with greater ease.The system comprises four key functions:Image contour extraction,intelligent reference recommendation,generation network,and color adjustment,all aimed at assisting users in various aspects of the creative process,including drawing,inspiration,and content generation.Additionally,we propose an enhanced algorithm called Smooth Generative Adversarial Networks(SmoothGAN),which exhibits more stable gradient training and a greater capacity for generating high-resolution shadow puppet images.Furthermore,we have built a new dataset comprising high-quality shadow puppet images to train the shadow puppet generation model.Both qualitative and quantitative experimental results demonstrate that SmoothGAN significantly improves the quality of image generation,while our system efficiently assists users in creating high-quality shadow puppet images,with a SUS scale score of 84.4.This study provides a valuable theoretical and practical reference for the digital creation of shadow puppet art.

关 键 词:Shadow puppets deep learning image generation co-create 

分 类 号:TP393[自动化与计算机技术—计算机应用技术]

 

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