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- W3103155251 abstract "We propose a self-supervised framework to learn scene representations from video that are automatically delineated into objects and background. Our method relies on moving objects being equivariant with respect to their transformation across frames and the background being constant. After training, we can manipulate and render the scenes in real time to create unseen combinations of objects, transformations, and backgrounds. We show results on moving MNIST with backgrounds." @default.
- W3103155251 created "2020-11-23" @default.
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- W3103155251 date "2020-11-11" @default.
- W3103155251 modified "2023-09-27" @default.
- W3103155251 title "Learned Equivariant Rendering without Transformation Supervision." @default.
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