Unsupervised Learning of 3D Object Categories From Videos in the Wild

Figure 1: We present a novel deep architecture that contributes Warp-conditioned Ray Embedding (WCR) to reconstruct and render new views (right) of object categories from one or few input images (middle). Our model is learned automatically from videos of the objects (left) and works on difficult real data where competitor architectures fail to produce good results.