Exact Shape Correspondence via 2D graph convolution
Authors: Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, MA Kaili, Bo Han, Bo Li, James Cheng
NeurIPS 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We report experimental results that validate the effectiveness and efficiency of 2D-GEM on exact matching of non-isometric and nearly-isometric 3D shapes. |
| Researcher Affiliation | Academia | 1The Chinese University of Hong Kong, 2The Hong Kong University of Science and Technology, 3Hong Kong Baptist University |
| Pseudocode | Yes | Algorithm 1 : 2D-GEM and Algorithm 2 : 2-Hop |
| Open Source Code | Yes | Code at: https://github.com/Barakeel Fanseu/2D-GEM |
| Open Datasets | Yes | We conduct experiments to evaluate the performance of our method on two nearly isometric benchmark datasets TOSCA [10], and SCAPE [5], as well as a benchmark non-isometric dataset SHREC 16 (TOPKIDS) [42]. |
| Dataset Splits | No | The paper states that the method needs no training ('Given that our method needs no training, is unsupervised...', Section 7). Therefore, no traditional validation dataset split is used or specified. |
| Hardware Specification | Yes | Time comparison between 2D-GEM and GRAMPA is conducted in Matlab on a Windows 10 system with 16GB RAM and Intel(R) i5 11400 CPU @ 2.60-4.4GHz. |
| Software Dependencies | No | The paper mentions 'Matlab' but does not provide specific version numbers for Matlab or any other software libraries or dependencies used in the experiments. |
| Experiment Setup | Yes | For 2D-GEM, we initialize the correspondence by the GMWM on SHOT [70], and use e = 10... For nearly-isometric shapes... we use 500 eigen-vectors of the LBO... set the maximum iteration number to iter = 10. We also set the LMD thresholds, we use [0.5280, 0.4560, 0.3840, 0.3120, 0.2400, 0.1680, 0.1680, 0.1680, 0.1680, 0.1680]. For non-isometric shapes (TOPKIDS), we set the thresholds to 100 for all iterations, use iter = 60, and 10 LBO eigen-vectors. |