A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence...

The Wasserstein Generative Adversarial Network (WGAN) is a variant of generative adversarial network (GAN) proposed in 2017 that aims to "improve the stability...

synthesized entirely by AI algorithms. These algorithms, including Generative adversarial network (GANs) and text-to-image models, generate lifelike images, videos...

his PhD in 2010–2014. Generative adversarial network (GAN) by (Ian Goodfellow et al., 2014) became state of the art in generative modeling during 2014-2018...

classification applications. Generative adversarial network (GAN) (Ian Goodfellow et al., 2014) became state of the art in generative modeling during 2014–2018...

contrast, many alternative generative modeling methods such as variational autoencoder (VAE) and generative adversarial network do not explicitly represent...

quantize a feature representation layer in the discriminator of Generative adversarial networks. The feature quantization (FQ) technique performs implicit...

used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) or a diffusion model. The FID compares the...

variational autoencoder and generative adversarial network produced the first practical deep neural networks capable of learning generative models, as opposed...

potential samples of input variables. Generative adversarial networks are examples of this class of generative models, and are judged primarily by the...

thermal environment of retractable roof natatoriums based on generative adversarial network and genetic algorithm". Energy and Buildings. 321: 114695. doi:10...

sometimes referred to as Portrait of Edmond de Belamy, is a generative adversarial network (GAN) portrait painting constructed by Paris-based arts collective...

the field of deep learning, including the invention of the generative adversarial network (GAN). Goodfellow co-wrote, as the first author, the textbook...

fully connected networks, deep belief networks, recurrent neural networks, convolutional neural networks, generative adversarial networks, transformers...

The Style Generative Adversarial Network, or StyleGAN for short, is an extension to the GAN architecture introduced by Nvidia researchers in December 2018...

He also introduced principles of dynamic neural networks, meta-learning, generative adversarial networks and linear transformers, all of which are widespread...

collapse is a failure mode observed in generative models, originally noted in Generative Adversarial Networks (GANs). It occurs when the model produces...

source - Zanini, et al. noted that it is possible to use a generative adversarial network (in particular, a DCGAN) to perform style transfer in order...

"Enhanced Deep Residual Networks for Single Image Super-Resolution". arXiv:1707.02921 [cs.CV]. "Generative Adversarial Network and Super Resolution GAN(SRGAN)"...

at Université de Montréal developed the generative adversarial network (GAN), a type of deep neural network capable of learning to mimic the statistical...

not seem to apply in the adversarial context. Pattern recognition Fawkes (image cloaking software) Generative adversarial network Kianpour, Mazaher; Wen...

Synthetic media as a field has grown rapidly since the creation of generative adversarial networks, primarily through the rise of deepfakes as well as music synthesis...

advancements in artificial intelligence had been made, with generative adversarial networks (GANs) and deep learning being used to help AI compose more...

assess the quality of images created by a generative image model such as a generative adversarial network (GAN). The score is calculated based on the...

ChatGPT is a generative artificial intelligence chatbot developed by the American company OpenAI and launched in 2022. It is based on large language models...

person's face, and then using a deep learning model to train a Generative Adversarial Network to create a fake video that convincingly swaps the face of the...

research in learning-model enabled memory networks, self-supervised learning and generative adversarial networks, text classification and translation, as...

extremely successful classical Generative adversarial network(GAN), dissipative quantum generative adversarial network (DQGAN) is introduced for unsupervised...

algorithms and artificial neural networks such as variational autoencoders (VAEs) and generative adversarial networks (GANs). In turn, the field of image...

systems Generative adversarial network – Deep learning method Generative art – Art created by a set of rules, often using computers Generative artificial...