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Conditional Image Generation with Pretrained Generative Model
As a result, the research community has devised methods to leverage pre-trained unconditional diffusion models with additional guidance for the purpose of conditional image generative.
Natural Gradient Methods: Perspectives, Efficient-Scalable Approximations, and Analysis
However, being a second-order method makes it infeasible to be used directly in problems with a huge number of parameters and data.
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