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

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

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

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

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

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

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...

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...

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

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

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

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

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

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

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

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

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

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...

attacks. Pattern recognition Fawkes (image cloaking software) Generative adversarial network Kianpour, Mazaher; Wen, Shao-Fang (2020). "Timing Attacks on...

Generative Adversarial Network (GAN)? | Definition from TechTarget". Search Enterprise AI. Retrieved 14 June 2025. "What Are Generative Adversarial Networks...

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...

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

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

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

ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and released on November 30, 2022. It uses large language models (LLMs) such...

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...

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...

In 2014 Ian Goodfellow et al. presented the principles of a generative adversarial network. GANs made the headlines in early 2018 with the deepfakes controversies...

Linux application called DeepNude was released which used a Generative Adversarial Network to remove clothing from images of women. The images it produced...

In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. With models trained on narrow,...