Synthesis,Style Editing,and Animation of 3D Cartoon Face
作者机构:School of Software and BNRistTsinghua UniversityBeijing 100084China Department of Multimedia and SmartGuangdong OPPO Mobile Telecommunications Corp.Ltd.Dongguan 523860China Intel LabsIntelBeijing 100089China
出 版 物:《Tsinghua Science and Technology》 (清华大学学报(自然科学版(英文版))
年 卷 期:2024年第29卷第2期
页 面:506-516页
核心收录:
学科分类:12[管理学] 1304[艺术学-美术学] 13[艺术学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 081104[工学-模式识别与智能系统] 08[工学] 080203[工学-机械设计及理论] 0835[工学-软件工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by the National Key R&D Program of China(No.2018YFA0704000) the Beijing Natural Science Foundation(No.M22024) the National Natural Science Foundation of China(No.62021002) the Key Research and Development Project of Tibet Autonomous Region(No.XZ202101ZY0019G) supported by the Institute for Brain and Cognitive Sciences,BNRist,Tsinghua University,BLBCI,and Beijing Municipal Education Commission
主 题:cartoon 3D face animation computer graphics
摘 要:As a popular kind of stylized face,cartoon faces have rich application *** is challenging to create personalized 3D cartoon faces directly from 2D real ***,in order to adapt to more application scenarios,automatic style editing,and animation of cartoon faces is also a crucial problem that is urgently needed to be solved in the industry,but has not yet had a perfect *** solve this problem,we first propose“3D face cartoonizer,which can generate high-quality 3D cartoon faces with texture when fed into 2D facial *** contribute the first 3D cartoon face hybrid dataset and a new training strategy which first pretrains our network with low-quality triplets in a reconstruction-then-generation manner,and then finetunes it with high-quality triplets in an adversarial manner to fully leverage the hybrid ***,we implement style editing for 3D cartoon faces based on k-means,which can be easily achieved without retrain the neural *** addition,we propose a new cartoon faces blendshape generation method,and based on this,realize the expression animation of 3D cartoon faces,enabling more practical *** dataset and code will be released for future research.