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- W4386984417 abstract "Generative modelling is an area of machine learning that deals with generation of new samples that resemble the original samples drawn from the data distribution. Since their invention, GANs have proven to be the new driving force in the field of generative models. GANs comprise two separate functional blocks called generator and discriminator, which interact in an adversarial framework. The generator learns to generate natural-looking data using these interactions. This work provides a condensed overview of the popular developments in GANs." @default.
- W4386984417 created "2023-09-24" @default.
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- W4386984417 date "2023-01-01" @default.
- W4386984417 modified "2023-10-18" @default.
- W4386984417 title "Recent Developments in Generative Adversarial Networks" @default.
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- W4386984417 doi "https://doi.org/10.1007/978-981-99-1431-9_13" @default.
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