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- W2978803902 abstract "In this work we present a method for fine-tuning pre-trained GANs with features from different datasets, resulting in the transformation of the output distribution into a new distribution with novel characteristics. The weights of the generator are updated using the weighted sum of the losses from a cross-dataset classifier and the frozen weights of the pre-trained discriminator. We discuss details of the technical implementation and share some of the visual results from this training process." @default.
- W2978803902 created "2019-10-10" @default.
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- W2978803902 date "2019-10-06" @default.
- W2978803902 modified "2023-09-27" @default.
- W2978803902 title "Transforming the output of GANs by fine-tuning them with features from different datasets." @default.
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