Knowledge Commons of Institute of Automation,CAS
Synthesizing cloth wrinkles by CNN-based geometry image superresolution | |
Chen, Lan1,2; Ye, Juntao1; Jiang, Liguo1,2; Ma, Chengcheng1,2; Cheng, Zhanglin3; Zhang, Xiaopeng1 | |
发表期刊 | COMPUTER ANIMATION AND VIRTUAL WORLDS |
2018-05-01 | |
卷号 | 29期号:3-4 |
文章类型 | Article |
摘要 | We propose a novel deep learning-based method, called mesh superresolution, to enrich low-resolution (LR) cloth meshes with wrinkles. A pair of low and high-resolution (HR) meshes are simulated, with the simulation of the HR mesh tracks with that of the LR mesh. The frame data are converted into geometry images and used as a training data set. A residual network, called SR residual network, is employed to train an image synthesizer that superresolves an LR image into an HR one. Once the HR image is converted back to an HR mesh, it is abundant in wrinkles compared with its coarse counterpart. The synthesizing is very efficient and is 24x faster than a full HR simulation. We demonstrate the performances of mesh superresolution with various simulation scenes. |
关键词 | Cloth Animation Data-driven Deep Learning Geometry Image Wrinkle Synthesis |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1002/cav.1810 |
收录类别 | SCI ; ISTP |
语种 | 英语 |
项目资助者 | China's 863 Program(2015AA016401) ; NSFC(61502471 ; Chinese Guangdong's ST project(2017B090912001) ; 61502490) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Software Engineering |
WOS记录号 | WOS:000434083100001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/22055 |
专题 | 多模态人工智能系统全国重点实验室 模式识别国家重点实验室_多媒体计算 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Shenzhen Inst Adv Technol, VisuCA Key Lab, Shenzhen, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Chen, Lan,Ye, Juntao,Jiang, Liguo,et al. Synthesizing cloth wrinkles by CNN-based geometry image superresolution[J]. COMPUTER ANIMATION AND VIRTUAL WORLDS,2018,29(3-4). |
APA | Chen, Lan,Ye, Juntao,Jiang, Liguo,Ma, Chengcheng,Cheng, Zhanglin,&Zhang, Xiaopeng.(2018).Synthesizing cloth wrinkles by CNN-based geometry image superresolution.COMPUTER ANIMATION AND VIRTUAL WORLDS,29(3-4). |
MLA | Chen, Lan,et al."Synthesizing cloth wrinkles by CNN-based geometry image superresolution".COMPUTER ANIMATION AND VIRTUAL WORLDS 29.3-4(2018). |
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2018CAVW_Synthesizin(850KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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