Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos

ICLR 2020 Aysegul DundarKevin J. ShihAnimesh GargRobert PottorfAndrew TaoBryan Catanzaro

Unsupervised landmark learning is the task of learning semantic keypoint-like representations without the use of expensive input keypoint-level annotations. A popular approach is to factorize an image into a pose and appearance data stream, then to reconstruct the image from the factorized components... (read more)

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