Self-supervised Learning of 3D Objects from Natural Images

20 Nov 2019Hiroharu KatoTatsuya Harada

We present a method to learn single-view reconstruction of the 3D shape, pose, and texture of objects from categorized natural images in a self-supervised manner. Since this is a severely ill-posed problem, carefully designing a training method and introducing constraints are essential... (read more)

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