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Building efficient, accurate character skins from examples

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Michael GleicherAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 3

Pages 562 - 568

https://doi.org/10.1145/882262.882308

Published: 01 July 2003 Publication History

Abstract

Good character animation requires convincing skin deformations including subtleties and details like muscle bulges. Such effects are typically created in commercial animation packages which provide very general and powerful tools. While these systems are convenient and flexible for artists, the generality often leads to characters that are slow to compute or that require a substantial amount of memory and thus cannot be used in interactive systems. Instead, interactive systems restrict artists to a specific character deformation model which is fast and memory efficient but is notoriously difficult to author and can suffer from many deformation artifacts. This paper presents an automated framework that allows character artists to use the full complement of tools in high-end systems to create characters for interactive systems. Our method starts with an arbitrarily rigged character in an animation system. A set of examples is exported, consisting of skeleton configurations paired with the deformed geometry as static meshes. Using these examples, we fit the parameters of a deformation model that best approximates the original data yet remains fast to compute and compact in memory.

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Cited By

Han YChen YOng CChen JHicks JTeran J(2024)A Neural Network Model for Efficient Musculoskeletal-Driven Skin DeformationACM Transactions on Graphics10.1145/365813543:4(1-12)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658135
Cao LPeng C(2024)Hierarchical Spherical Cross‐Parameterization for Deforming CharactersComputer Graphics Forum10.1111/cgf.1519743:6Online publication date: 19-Sep-2024
https://doi.org/10.1111/cgf.15197
Liao ZGolyanik VHabermann MTheobalt C(2024)VINECS: Video-based Neural Character Skinning2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00137(1377-1387)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00137
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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 3

July 2003

683 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/882262

Issue’s Table of Contents

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 2003

Published in TOG Volume 22, Issue 3

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Cited By

Han YChen YOng CChen JHicks JTeran J(2024)A Neural Network Model for Efficient Musculoskeletal-Driven Skin DeformationACM Transactions on Graphics10.1145/365813543:4(1-12)Online publication date: 19-Jul-2024
https://dl.acm.org/doi/10.1145/3658135
Cao LPeng C(2024)Hierarchical Spherical Cross‐Parameterization for Deforming CharactersComputer Graphics Forum10.1111/cgf.1519743:6Online publication date: 19-Sep-2024
https://doi.org/10.1111/cgf.15197
Liao ZGolyanik VHabermann MTheobalt C(2024)VINECS: Video-based Neural Character Skinning2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00137(1377-1387)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00137
Glira PWeidinger COtepka-Schremmer JRessl CPfeifer NHaberler-Weber M(2023)Nonrigid Point Cloud Registration Using Piecewise Tricubic Polynomials as Transformation ModelRemote Sensing10.3390/rs1522534815:22(5348)Online publication date: 13-Nov-2023
https://doi.org/10.3390/rs15225348
Loper MMahmood NRomero JPons-Moll GBlack M(2023)SMPL: A Skinned Multi-Person Linear ModelSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596800(851-866)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596800
Anguelov DSrinivasan PKoller DThrun SRodgers JDavis J(2023)SCAPE: Shape Completion and Animation of PeopleSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596797(819-827)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596797
Tian YZhang HLiu YWang L(2023)Recovering 3D Human Mesh From Monocular Images: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.329885045:12(15406-15425)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1109/TPAMI.2023.3298850
Zhang CChen XLin JGuo SWang RGu Y(2023)A Multi-constraint 3D Mesh Models Deformation Method2023 International Conference on the Cognitive Computing and Complex Data (ICCD)10.1109/ICCD59681.2023.10420751(218-222)Online publication date: 21-Oct-2023
https://doi.org/10.1109/ICCD59681.2023.10420751
Kedadria ABenabid YRemil OBenaouali AMay ARamtani S(2023)A Shoulder Musculoskeletal Model with Three-Dimensional Complex Muscle GeometriesAnnals of Biomedical Engineering10.1007/s10439-023-03189-y51:5(1079-1093)Online publication date: 6-Apr-2023
https://doi.org/10.1007/s10439-023-03189-y
Gutiérrez A. MVexo FThalmann DGutiérrez A. MVexo FThalmann D(2023)Virtual CharactersStepping into Virtual Reality10.1007/978-3-031-36487-7_4(81-124)Online publication date: 12-Aug-2023
https://doi.org/10.1007/978-3-031-36487-7_4
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