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Interactive multiresolution hair modeling and editing

Authors:

Ulrich NeumannAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 21, Issue 3

Pages 620 - 629

https://doi.org/10.1145/566654.566627

Published: 01 July 2002 Publication History

Abstract

Human hair modeling is a difficult task. This paper presents a constructive hair modeling system with which users can sculpt a wide variety of hairstyles. Our Multiresolution Hair Modeling (MHM) system is based on the observed tendency of adjacent hair strands to form clusters at multiple scales due to static attraction. In our system, initial hair designs are quickly created with a small set of hair clusters. Refinements at finer levels are achieved by subdividing these initial hair clusters. Users can edit an evolving model at any level of detail, down to a single hair strand. High level editing tools support curling, scaling, and copy/paste, enabling users to rapidly create widely varying hairstyles. Editing ease and model realism are enhanced by efficient hair rendering, shading, antialiasing, and shadowing algorithms.

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Cited By

Shen YSaito SWang ZMaury OWu CHodgins JZheng YNam G(2023)CT2Hair: High-Fidelity 3D Hair Modeling using Computed TomographyACM Transactions on Graphics10.1145/359210642:4(1-13)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592106
Xiao WLiu WWang YGhanem BLi B(2023)Automatic Animation of Hair Blowing in Still Portrait Photos2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.02099(22906-22918)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICCV51070.2023.02099
Shen YZhang CFu HZhou KZheng Y(2021)DeepSketchHair: Deep Sketch-Based 3D Hair ModelingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.296843327:7(3250-3263)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1109/TVCG.2020.2968433
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Index Terms

Interactive multiresolution hair modeling and editing

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Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 21, Issue 3

July 2002

548 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/566654

Issue’s Table of Contents

Copyright © 2002 ACM.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2002

Published in TOG Volume 21, Issue 3

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Cited By

Shen YSaito SWang ZMaury OWu CHodgins JZheng YNam G(2023)CT2Hair: High-Fidelity 3D Hair Modeling using Computed TomographyACM Transactions on Graphics10.1145/359210642:4(1-13)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592106
Xiao WLiu WWang YGhanem BLi B(2023)Automatic Animation of Hair Blowing in Still Portrait Photos2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.02099(22906-22918)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICCV51070.2023.02099
Shen YZhang CFu HZhou KZheng Y(2021)DeepSketchHair: Deep Sketch-Based 3D Hair ModelingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.296843327:7(3250-3263)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1109/TVCG.2020.2968433
Ren QWei HWang Y(2021)Hair Salon: A Geometric Example-Based Method to Generate 3D Hair DataImage and Graphics10.1007/978-3-030-87361-5_44(533-544)Online publication date: 6-Aug-2021
https://dl.acm.org/doi/10.1007/978-3-030-87361-5_44
Xing JNagano KChen WXu HWei LZhao YLu JKim BLi HGuimbretière FBernstein MReinecke K(2019)HairBrush for Immersive Data-Driven Hair ModelingProceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology10.1145/3332165.3347876(263-279)Online publication date: 17-Oct-2019
https://dl.acm.org/doi/10.1145/3332165.3347876
Saito SHu LMa CIbayashi HLuo LLi H(2018)3D hair synthesis using volumetric variational autoencodersACM Transactions on Graphics10.1145/3272127.327501937:6(1-12)Online publication date: 4-Dec-2018
https://dl.acm.org/doi/10.1145/3272127.3275019
Bao YQi Y(2018)A Survey of Image-Based Techniques for Hair ModelingIEEE Access10.1109/ACCESS.2018.28187956(18670-18684)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2818795
Zhou YHu LXing JChen WKung HTong XLi H(2018)HairNet: Single-View Hair Reconstruction Using Convolutional Neural NetworksComputer Vision – ECCV 201810.1007/978-3-030-01252-6_15(249-265)Online publication date: 8-Sep-2018
https://dl.acm.org/doi/10.1007/978-3-030-01252-6_15
Wei LHu LKim VYumer ELi H(2018)Real-Time Hair Rendering Using Sequential Adversarial NetworksComputer Vision – ECCV 201810.1007/978-3-030-01225-0_7(105-122)Online publication date: 8-Sep-2018
https://dl.acm.org/doi/10.1007/978-3-030-01225-0_7
Hu LSaito SWei LNagano KSeo JFursund JSadeghi ISun CChen YLi H(2017)Avatar digitization from a single image for real-time renderingACM Transactions on Graphics10.1145/3130800.3131088736:6(1-14)Online publication date: 20-Nov-2017
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