Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:appliesTo |
self-attention mechanism
|
| gptkbp:basedOn |
GAN_architecture
|
| gptkbp:completed |
state-of-the-art results
|
| gptkbp:developedBy |
DeepMind
|
| gptkbp:hasPerformedAt |
conferences
|
| gptkbp:hasRelatedPatent |
advertising
film production virtual reality video game design |
| gptkbp:hasVariants |
BigGAN-deep
|
| https://www.w3.org/2000/01/rdf-schema#label |
BigGAN
|
| gptkbp:improves |
image generation quality
|
| gptkbp:introduced |
2018
|
| gptkbp:isCitedBy |
numerous research papers
|
| gptkbp:isConsidered |
cutting-edge technology
|
| gptkbp:isDiscussedIn |
academic papers
|
| gptkbp:isEvaluatedBy |
gptkb:Fréchet_Inception_Distance
Inception Score |
| gptkbp:isExploredIn |
artificial intelligence
3D modeling image processing design photography animation augmented reality computer vision neural networks content creation AI safety creative applications data augmentation digital art AI ethics AI governance image synthesis style transfer machine creativity |
| gptkbp:isInfluencedBy |
DCGAN
StyleGAN |
| gptkbp:isKnownFor |
high fidelity images
diverse outputs |
| gptkbp:isLocatedIn |
gptkb:PyTorch
TensorFlow |
| gptkbp:isOpenTo |
true
|
| gptkbp:isPartOf |
AI research
machine learning frameworks other GANs |
| gptkbp:isRelatedTo |
deep learning
|
| gptkbp:isSupportedBy |
NVIDIA GPUs
|
| gptkbp:isTrainedIn |
gptkb:ImageNet_dataset
|
| gptkbp:isUsedBy |
research institutions
tech companies |
| gptkbp:isUsedIn |
art generation
|
| gptkbp:mayHave |
high-resolution images
|
| gptkbp:requires |
significant computational resources
|
| gptkbp:uses |
large batch sizes
|
| gptkbp:utilizes |
progressive growing
|