Semantic Interpolation in Implicit Models

international conference on learning representations, 2018.

Cited by: 8|Views17
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Abstract:

In implicit models, one often interpolates between sampled points in latent space. As we show in this paper, care needs to be taken to match-up the distributional assumptions on code vectors with the geometry of the interpolating paths. Otherwise, typical assumptions about the quality and semantics of in-between points may not be justifie...More

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