CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算
Synthesizing cloth wrinkles by CNN-based geometry image superresolution
Chen, Lan1,2; Ye, Juntao1; Jiang, Liguo1,2; Ma, Chengcheng1,2; Cheng, Zhanglin3; Zhang, Xiaopeng1
AbstractWe 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.
KeywordCloth Animation Data-driven Deep Learning Geometry Image Wrinkle Synthesis
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; ISTP
Funding OrganizationChina's 863 Program(2015AA016401) ; NSFC(61502471 ; Chinese Guangdong's ST project(2017B090912001) ; 61502490)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000434083100001
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.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
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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).
Files in This Item: Download All
File Name/Size DocType Version Access License
2018CAVW_Synthesizin(850KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen, Lan]'s Articles
[Ye, Juntao]'s Articles
[Jiang, Liguo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen, Lan]'s Articles
[Ye, Juntao]'s Articles
[Jiang, Liguo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen, Lan]'s Articles
[Ye, Juntao]'s Articles
[Jiang, Liguo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2018CAVW_Synthesizing cloth wrinkles by CNN-based geometry image.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.