Image-based Material Reconstruction
Image-Based Material Reconstruction is a computational method that infers and synthesizes the physical and optical properties of materials from two-dimensional images, distinguishing itself by leveraging visual data as the primary input to reconstruct material representations for use in rendering, simulation, or fabrication.
49
Publications
2.4K
Citations
196
Authors
95
Institutions
Publications per year
2017–2026
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Image-based reconstruction of spatial appearance and geometric detail
Hendrik P. A. Lensch, Jan Kautz, Michael Goesele et al. · ACM Transactions on Graphics · 2003 · 326 citations
Junxi Feng, Qizhi Teng, Bing Li et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 137 citations
Image-Based Reconstruction of Spatially Varying Materials
Hendrik P. A. Lensch, Jan Kautz, Michael Goesele et al. · Eurographics · 2001 · 115 citations · Full text
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Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
2 publications · 32 citations
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Australian National University
Canberra, Australia
3 h-index
11 publications
215 citations

University of British Columbia
Vancouver, Canada
3 h-index
4 publications
469 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
3 h-index
6 publications
110 citations

University of Tehran
Tehran, Iran
2 h-index
6 publications
303 citations
Max Planck Institute for Informatics
Saarbrücken, Germany
2 h-index
8 publications
1.8K citations

Sichuan University
Chengdu, China
2 h-index
9 publications
873 citations

UNSW Sydney
Sydney, Australia
2 h-index
5 publications
141 citations
University of Bonn
Bonn, Germany
2 h-index
5 publications
200 citations
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3 publications · 115 citations
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2 publications · 71 citations
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2 publications · 62 citations
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TOG · 1 publications · 326 citations
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1 publications · 16 citations
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