Article

Geometric texture synthesis and transfer via geometry images

Authors:

R. R. MartinAuthors Info & Claims

SPM '05: Proceedings of the 2005 ACM symposium on Solid and physical modeling

Pages 15 - 26

https://doi.org/10.1145/1060244.1060248

Published: 13 June 2005 Publication History

Abstract

In this paper, we present an automatic method which can transfer geometric textures from one object to another, and can apply a manually designed geometric texture to a model. Our method is based on geometry images as introduced by Gu et al. The key ideas in this method involve geometric texture extraction, boundary consistent texture synthesis, discretized orientation and scaling, and reconstruction of synthesized geometry. Compared to other methods, our approach is efficient and easy-to-implement, and produces results of high quality.

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Cited By

Elsner TBerger JWu TCzech VGao LKobbelt L(2024)Retargeting Visual Data with Deformation FieldsComputer Vision – ECCV 202410.1007/978-3-031-72949-2_16(271-288)Online publication date: 31-Oct-2024
https://doi.org/10.1007/978-3-031-72949-2_16
Xie WWang MLin DShi BJiang J(2023)Surface Geometry Processing: An Efficient Normal-based Detail RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.3296509(1-16)Online publication date: 2023
https://doi.org/10.1109/TPAMI.2023.3296509
Mun HYoon GSong JYoon S(2022)Texture Preserving Photo Style Transfer NetworkIEEE Transactions on Multimedia10.1109/TMM.2021.310840124(3823-3834)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3108401
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Index Terms

Geometric texture synthesis and transfer via geometry images
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures

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cover image ACM Conferences

SPM '05: Proceedings of the 2005 ACM symposium on Solid and physical modeling

June 2005

287 pages

ISBN:1595930159

DOI:10.1145/1060244

Program Chairs:
Leif Kobbelt
RWTH Aachen University, Germany
,
Vadim Shapiro
University of Wisconsin--Madison, USA

Copyright © 2005 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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Published: 13 June 2005

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SPM05: 2005 ACM Symposium on Solid and Physical Modeling

June 13 - 15, 2005

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Cited By

Elsner TBerger JWu TCzech VGao LKobbelt L(2024)Retargeting Visual Data with Deformation FieldsComputer Vision – ECCV 202410.1007/978-3-031-72949-2_16(271-288)Online publication date: 31-Oct-2024
https://doi.org/10.1007/978-3-031-72949-2_16
Xie WWang MLin DShi BJiang J(2023)Surface Geometry Processing: An Efficient Normal-based Detail RepresentationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.3296509(1-16)Online publication date: 2023
https://doi.org/10.1109/TPAMI.2023.3296509
Mun HYoon GSong JYoon S(2022)Texture Preserving Photo Style Transfer NetworkIEEE Transactions on Multimedia10.1109/TMM.2021.310840124(3823-3834)Online publication date: 2022
https://doi.org/10.1109/TMM.2021.3108401
Gao LWu TYuan YLin MLai YZhang H(2021)TM-NETACM Transactions on Graphics10.1145/3478513.348050340:6(1-15)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480503
Jam JKendrick CWalker KDrouard VHsu JYap M(2021)A comprehensive review of past and present image inpainting methodsComputer Vision and Image Understanding10.1016/j.cviu.2020.103147203(103147)Online publication date: Feb-2021
https://doi.org/10.1016/j.cviu.2020.103147
Lu JLukáč MSýkora DRitschel TTelea A(2018)Understanding mystery behind example-based image synthesisProceedings of the 39th Annual European Association for Computer Graphics Conference: Tutorials10.5555/3308464.3308467(5-8)Online publication date: 16-Apr-2018
https://dl.acm.org/doi/10.5555/3308464.3308467
Liu HTao MJacobson A(2018)PaparazziACM Transactions on Graphics10.1145/3272127.327504737:6(1-11)Online publication date: 4-Dec-2018
https://dl.acm.org/doi/10.1145/3272127.3275047
Berkiten SHalber MSolomon JMa CLi HRusinkiewicz S(2017)Learning Detail Transfer based on Geometric FeaturesComputer Graphics Forum10.1111/cgf.1313236:2(361-373)Online publication date: 1-May-2017
https://dl.acm.org/doi/10.1111/cgf.13132
(2017)Interactive modeling of complex geometric details based on empirical mode decomposition for multi-scale 3D shapesComputer-Aided Design10.1016/j.cad.2017.02.00387:C(1-10)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1016/j.cad.2017.02.003
Othmani AJiang CLomenie NFavreau JPiboule AVoon L(2016)A novel Computer-Aided Tree Species Identification method based on Burst Wind Segmentation of 3D bark texturesMachine Vision and Applications10.1007/s00138-015-0738-227:5(751-766)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1007/s00138-015-0738-2
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