# DAVIDSTUTZ

Check out our CVPR'18 paper on weakly-supervised 3D shape completion — and let me know your opinion! @david_stutz
03rdFEBRUARY2018

In experiments, the authors consider different versions of the proposed method. For example, in a total of 10 iterations, we can split super-superpixels always into $K = 2$ or $K = 5$ superpixels. It is also not clear how to choose the corresponding seeds; the authors use random sampling or run $k$-means to identify seeds (which seems a bit weird as $k$-means would already produce superpixels, so no need to apply their scheme). Figure 2 shows qualitative results; I won't discuss quantitative results, though.