Generative Adversarial Networks (GANs)
GPTKB entity
Statements (45)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:basedOn |
adversarial training
|
| gptkbp:composedOf |
discriminator
generator |
| gptkbp:developedBy |
gptkb:Ian_Goodfellow
|
| gptkbp:hasCitations |
evaluation metrics
mode collapse training instability difficult to train requires large datasets can produce artifacts requires significant computational resources sensitive to hyperparameters |
| gptkbp:hasImpactOn |
healthcare
advertising architecture augmented reality entertainment gaming virtual reality fashion automotive design creative industries music generation |
| gptkbp:hasRelatedPatent |
art generation
super-resolution imaging 3D object generation face generation |
| gptkbp:hasVariants |
CycleGAN
StyleGAN Conditional GAN (CGAN) Deep_Convolutional_GAN_(DCGAN) Wasserstein_GAN_(WGAN) |
| https://www.w3.org/2000/01/rdf-schema#label |
Generative Adversarial Networks (GANs)
|
| gptkbp:influencedBy |
game theory
variational autoencoders |
| gptkbp:introduced |
2014
|
| gptkbp:relatedTo |
artificial intelligence
computer vision neural networks unsupervised learning |
| gptkbp:usedFor |
data augmentation
image generation text-to-image synthesis video generation |