GitHub - lambders/fantasy-map-generator: Using Generative Adversarial Networks (GANs) to produce awesome looking fantasy maps
![Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks | Scientific Reports Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-06057-2/MediaObjects/41598_2022_6057_Fig1_HTML.png)
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks | Scientific Reports
![Electronics | Free Full-Text | Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications Electronics | Free Full-Text | Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications](https://pub.mdpi-res.com/electronics/electronics-10-01216/article_deploy/html/images/electronics-10-01216-g001.png?1621582564)
Electronics | Free Full-Text | Review on Generative Adversarial Networks: Focusing on Computer Vision and Its Applications
![Generative adversarial networks unlock new methods for cognitive science: Trends in Cognitive Sciences Generative adversarial networks unlock new methods for cognitive science: Trends in Cognitive Sciences](https://www.cell.com/cms/asset/cc4890fc-18fa-47de-8afd-1a422390474a/gr1.jpg)
Generative adversarial networks unlock new methods for cognitive science: Trends in Cognitive Sciences
![A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13321-019-0397-9/MediaObjects/13321_2019_397_Fig1_HTML.png)
A de novo molecular generation method using latent vector based generative adversarial network | Journal of Cheminformatics | Full Text
![Generating label for RGB image by training GAN model. Segmentation map... | Download Scientific Diagram Generating label for RGB image by training GAN model. Segmentation map... | Download Scientific Diagram](https://www.researchgate.net/publication/346027874/figure/fig4/AS:964465893863424@1606957996431/Generating-label-for-RGB-image-by-training-GAN-model-Segmentation-map-is-produced-by-the.png)
Generating label for RGB image by training GAN model. Segmentation map... | Download Scientific Diagram
![Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41524-020-00352-0/MediaObjects/41524_2020_352_Fig1_HTML.png)
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials
![Frontiers | Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends Frontiers | Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends](https://www.frontiersin.org/files/MyHome%20Article%20Library/604234/604234_Thumb_400.jpg)
Frontiers | Generative Adversarial Networks–Enabled Human–Artificial Intelligence Collaborative Applications for Creative and Design Industries: A Systematic Review of Current Approaches and Trends
![Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries | npj Computational Materials Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries | npj Computational Materials](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41524-020-0340-7/MediaObjects/41524_2020_340_Fig1_HTML.png)