Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

CVPR 2020 Shangzhe WuChristian RupprechtAndrea Vedaldi

We propose a method to learn 3D deformable object categories from raw single-view images, without external supervision. The method is based on an autoencoder that factors each input image into depth, albedo, viewpoint and illumination... (read more)

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