3827969
doi
10.5281/zenodo.3827969
oai:zenodo.org:3827969
Noam Aigerman
Adobe Research
Qingnan Zhou
Adobe Research
Shahar Z. Kovalsky
Yajie Yan
Facebook
Danny M. Kaufman
Adobe Research
Tao Ju
Washington University in St. Louis
Locally Injective Mappings Benchmark
Xingyi Du
Washington University in St. Louis
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
computer graphics
geometry processing
mesh
<p>We are glad to release the benchmark dataset of 2D/3D meshes in our Siggraph 2020 paper <a href="https://duxingyi-charles.github.io/publication/lifting-simplices-to-find-injectivity/">Lifting Simplices to Find Injectivity</a> The dataset collects challenging examples from recent papers on fixed boundary injective mappings. It also includes hundreds of newly created examples. The dataset includes <em>10743</em> triangular mesh examples and <em>904</em> tetrahedral mesh examples. The examples are divided into 3 categories, 2D parameterization, 3D parameterization and 3D deformation.</p>
<p>We hope that our dataset offers a benchmark for future research in this area.</p>
<p>A more detailed introduction to the dataset can be find <a href="https://github.com/duxingyi-charles/Locally-Injective-Mappings-Benchmark">here</a>.</p>
Zenodo
2020-05-14
info:eu-repo/semantics/other
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