Score-difference flow reduces KL divergence between distributions and is formally equivalent to denoising diffusion models and a hidden subproblem in optimal GAN training under stated conditions.
Exploiting the hidden tasks of gans: Making implicit subproblems explicit.arXiv preprint arXiv:2101.11863,
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The Score-Difference Flow for Implicit Generative Modeling
Score-difference flow reduces KL divergence between distributions and is formally equivalent to denoising diffusion models and a hidden subproblem in optimal GAN training under stated conditions.