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A flow-based generative model is a generative model that explicitly models the probability density function of the real data (i.e. ) by leveraging the change-of-variables law of probabilities to transform a simple distribution into a complex ones.
Implementations
TODO description
- RealNVP
- TODO more items, and citation
Applications
TODO description
- Point-cloud modeling
- Music generation
- TODO more items, and citation
References
External links
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