ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids

ECCV 2018 Dinesh JayaramanRuohan GaoKristen Grauman

We introduce an unsupervised feature learning approach that embeds 3D shape information into a single-view image representation. The main idea is a self-supervised training objective that, given only a single 2D image, requires all unseen views of the object to be predictable from learned features... (read more)

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