SAOR: Single-View Articulated Object Reconstruction

Figure 1 . SAOR capable of predicting the 3D shape of an articulated object category from a single image. Our model is trained on multiple categories simultaneously using self-supervision on single-view image collections. It can efficiently predict object pose, 3D shape reconstruction, and unsupervised part-level assignment using only a single forward pass per image at test time in a category-agnostic way.