We introduce a new method to reconstruct 3D objects using a set of volumetric primitives, i.e., superquadrics. The method hierarchically decomposes a target 3D object into pairs of superquadrics recovering finer and finer details. While such hierarchical methods have been studied before, we introduce a new way of splitting the object space using only properties of the predicted superquadrics. The method is trained and evaluated on the ShapeNet dataset. The results of our experiments suggest that reasonable reconstructions can be obtained with the proposed approach for a diverse set of objects with complex geometry.
翻译:我们采用了一种新的方法,利用一组体积原始物质,即超二次体,来重建三维物体。该方法在等级上将目标三维物体分解成一对超二次体,以恢复精细和精细的细节。虽然以前曾研究过这种等级方法,但我们引入了一种仅仅使用预测的超二次体特性分割物体空间的新方法。该方法在“形状网”数据集上经过培训和评估。我们实验的结果表明,可以通过为一组复杂几何形的多元物体拟议的方法,实现合理的重建。