We present the Shape Part Slot Machine, a new method for assembling novel 3D shapes from existing parts by performing contact-based reasoning. Our method represents each shape as a graph of "slots," where each slot is a region of contact between two shape parts. Based on this representation, we design a graph-neural-network-based model for generating new slot graphs and retrieving compatible parts, as well as a gradient-descent-based optimization scheme for assembling the retrieved parts into a complete shape that respects the generated slot graph. This approach does not require any semantic part labels; interestingly, it also does not require complete part geometries -- reasoning about the regions where parts connect proves sufficient to generate novel, high-quality 3D shapes. We demonstrate that our method generates shapes that outperform existing modeling-by-assembly approaches in terms of quality, diversity, and structural complexity.

通过 Shape Part Slot Machine，我们可以使用基于接触的推理方法从现有部件组装新的 3D 形状，这一方法不需要任何语义部件标签，也不需要完整的部件几何图形。

基于接触推理的零件生成3D形状的形状部分赌博机