Generative Adversarial Networks
GPTKB entity
Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
software
|
| gptkbp:basedOn |
Minimax Game
|
| gptkbp:composedOf |
Discriminator
Generator |
| gptkbp:developedBy |
gptkb:Ian_Goodfellow
|
| gptkbp:hasCitations |
Mode Collapse
Training Instability Evaluation Metrics |
| gptkbp:hasImpactOn |
Advertising
Artificial Intelligence Education Natural Language Processing Research Entertainment Industry Creative Industries Computer_Vision |
| gptkbp:hasRelatedPatent |
Simulation
Automation Style Transfer Content Creation Personalization Super Resolution Art Generation Human-Computer_Interaction |
| gptkbp:hasVariants |
CycleGAN
Conditional GANs Wasserstein GANs Pix2Pix |
| https://www.w3.org/2000/01/rdf-schema#label |
Generative Adversarial Networks
|
| gptkbp:improves |
Image Quality
|
| gptkbp:influencedBy |
Deep Learning
|
| gptkbp:introduced |
2014
|
| gptkbp:isUsedFor |
Anomaly Detection
Augmented Reality Fashion Design Music Generation Text Generation Virtual Reality Gaming Medical Imaging 3D Object Generation Facial_Recognition Speech_Synthesis |
| gptkbp:relatedTo |
Neural Networks
Reinforcement Learning Unsupervised Learning |
| gptkbp:requires |
Large Datasets
|
| gptkbp:usedFor |
Image Generation
Data Augmentation Video Generation Text-to-Image Synthesis |