Statements (61)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:abbreviation |
gptkb:GANs
|
| gptkbp:application |
image generation
data augmentation image-to-image translation super-resolution text-to-image synthesis |
| gptkbp:consistsOf |
generator
discriminator |
| https://www.w3.org/2000/01/rdf-schema#label |
Generative Adversarial Nets
|
| gptkbp:introduced |
gptkb:Ian_Goodfellow
|
| gptkbp:introducedIn |
2014
|
| gptkbp:lossFunction |
minimax loss
|
| gptkbp:notableVariant |
gptkb:Conditional_GAN
gptkb:DCGAN gptkb:StyleGAN gptkb:Wasserstein_GAN gptkb:CycleGAN |
| gptkbp:publishedIn |
gptkb:NIPS_2014
|
| gptkbp:relatedTo |
deep learning
neural networks unsupervised learning |
| gptkbp:trainer |
adversarial training
|
| gptkbp:usedFor |
gptkb:fashion_designer
data compression drug discovery image compression speech synthesis text generation anomaly detection protein structure prediction object detection style transfer music generation semantic segmentation data synthesis image editing image inpainting domain adaptation data anonymization data denoising image colorization image super-resolution image captioning art generation 3D object generation face synthesis video prediction handwriting synthesis satellite image analysis data imputation game content generation generating realistic data medical image synthesis privacy-preserving data generation video frame prediction |
| gptkbp:bfsParent |
gptkb:NeurIPS_2013
gptkb:NeurIPS_2014 gptkb:Generative_Adversarial_Networks gptkb:Prof._Yoshua_Bengio |
| gptkbp:bfsLayer |
6
|