Constrained Injective Mapping Benchmark

We are glad to release the benchmark dataset in our Siggraph Asia 2021 paper Optimizing Global Injectivity for Constrained Parameterization. The dataset is used to test various methods on their ability to recover an injective mapping from a non-injective initial mapping while keeping a group of positional constraints in place. The dataset includes <em>1791 </em>triangle mesh examples. Each example consists of an input rest mesh, an initial mesh, several constrained vertices (called handles), and a ground truth injective mapping obtained from the Locally Injective Mappings Benchmark. For reference, we also share our method's results on the examples in Constrained-Injective-Mappings-Result.zip. We hope that our dataset offers a benchmark for future research in this area.