论文标题
学习组装几何形状
Learning to Assemble Geometric Shapes
论文作者
论文摘要
将零件组装成一个物体是一个组合问题，在现实世界中的各种情况下都会出现，并且在科学和工程中涉及大量应用。以前的相关工作可以解决有限的案例，具有相同的单位零件或拼合形状的部分，这大大减轻了问题的组合挑战。在这项工作中，我们介绍了形状组装的更具挑战性的问题，该问题涉及具有模糊连接的任意形状的无纹理碎片，然后提出了一种基于学习的方法来解决它。我们证明了具有各种情况的形状组装任务的有效性，包括具有异常片段（例如，缺失和扭曲），不同数量的片段和不同旋转离散化的情况。
Assembling parts into an object is a combinatorial problem that arises in a variety of contexts in the real world and involves numerous applications in science and engineering. Previous related work tackles limited cases with identical unit parts or jigsaw-style parts of textured shapes, which greatly mitigate combinatorial challenges of the problem. In this work, we introduce the more challenging problem of shape assembly, which involves textureless fragments of arbitrary shapes with indistinctive junctions, and then propose a learning-based approach to solving it. We demonstrate the effectiveness on shape assembly tasks with various scenarios, including the ones with abnormal fragments (e.g., missing and distorted), the different number of fragments, and different rotation discretization.
