Supplemental Materials for " Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning "

More details are reported in Table 1. In Table 3, we report the statistics of the used datasets in our submission. For all the datasets, we train a single model instead of performing category-specific training. Note that, 3D-FUTURE here contains more fine-grained 3D CAD models. We make qualitative comparisons with two widely studied retrieval solutions, including 2.5D-Sketch The results are shown in Figure 2. We can AMV -ML for fair comparisons, thus can also obtain reasonable retrieval results.