LSGAN

Understanding LSGAN and WGAN in GANs

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Understanding LSGAN and WGAN in GANs

Generative Adversarial Networks (4) The enthusiastic learner and writer, this yellow duck is back online. Last time, we discussed the network structure of ACGAN, the method of introducing category information, the metrics for evaluating the performance of generative adversarial networks, methods to improve model training stability, and more. In the ACGAN paper, there is a … Read more

Advancements in GAN: CGAN, DCGAN, WGAN, WGAN-GP, LSGAN, BEGAN

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Advancements in GAN: CGAN, DCGAN, WGAN, WGAN-GP, LSGAN, BEGAN

Advancements in GAN: CGAN, DCGAN, WGAN, WGAN-GP, LSGAN, BEGAN In the previous article, we introduced the principles of GAN (Introduction to Generative Adversarial Networks). The Generative Adversarial Network (GAN) mainly consists of two parts: the Generator and the Discriminator. The idea of the Generative model G is to package a random noise into a realistic … Read more