Supplementary Material for LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery

In this supplementary document, we present the implementation details, model analyses, and additional results of our method. We also provide a short video to explain our framework with illustrations and visual results. We then collect and cluster the features of salient image patches by thresholding the saliency scores. As shown in Figure 3, the primitive MLP and part MLPs adopt a similar architecture as NeRS, i.e., three fully-connected layers with instance normalization and Leaky ReLU activation for middle layers. We show the architecture diagrams for primitive MLP and part MLPs.