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We overcome the challenge posed by the\nlack of direct supervision by instead leveraging a more naturally available\nmulti-view supervisory signal. Our insight is to use view synthesis as a proxy\ntask: we enforce that our representation (inferred from a single image), when\nrendered from a novel perspective, matches the true observed image. We present\na learning framework that operationalizes this insight using a new,\ndifferentiable novel view renderer. 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